ISA-95-Based Operations and KPI Metrics Assessment and Analysis
|
|
- Martha Heath
- 7 years ago
- Views:
Transcription
1 ISA-95-Based Operations and KPI Metrics Assessment and Analysis WHITE PAPER 24 A Mesa International, ISA and Invensys Wonderware co-branded white paper MESA 107 S. Southgate Drive Chandler, AZ hq@mesa.org
2 ISA-95-BASED OPERATIONS AND KPI METRICS ASSESSMENT AND ANALYSIS Table of Contents Overview Defining Operations Metrics and KPIs Value Proposition Statement of Need (SON) Definition Critical Success Factors (CSFs) Prioritizing Options Using the Value Chart Defining and Developing Key Performance Indicators Collecting Data and Normalizing Manufacturing Information Periodic Review and Adjustment Conclusion Appendix Appendix A: SCOR Performance Attributes and Level 1 Metrics Appendix B: Asset Utilization Functional Analysis Example Appendix C: KPI Priorities Appendix D: Object Model Inter-Relations Appendix E: Standardized Data Definition Framework Appendix F: Actual versus Planned Production Volume: ISA-95 KPI Examples Author Contributing Editor Reviewer MESA International 2
3 Overview ISA-95 Part 2 and Part 3 provide a valuable data definition framework when applying best practices for managing operations and related key performance indicators (KPIs). The data definition framework is able to serve as the KPI source of information for Supply Chain Scoreboard systems. An example is Production KPI inputs into a MAKE process element of the Supply Chain Operations Reference Model (SCOR) by Supply Chain Council. Designing and implementing these systems require using a process that ensures information alignment with business strategy through construction of financial metrics from operations metrics. Key points necessary to building successful Supply Chain Scoreboard Systems include: Understanding key stakeholders needs and expectations. Summarize and document those needs and expectations through a Statement of Needs (SON) document. Identify critical success factors (CSFs) and relevant metrics that align with the SON. Prioritize options (or projects) through the use of a value chart. The value chart quantifies benefits versus risk. Derive appropriate operations KPIs, establish a baseline, and periodically measure identified KPIs based on operational priorities. Define the Data Standard Information Layer to normalize manufacturing information and align with Supply Chain metrics. Measure, visualize and analyze operations KPIs against baseline. Review SON periodically with Key Stakeholders and adjust operations KPIs based on evolving needs or when the corporate business models or markets change MESA International 3
4 Defining Operations Metrics and KPIs Using the ISA-95 standard, operations and financial managers are able to achieve alignment between strategic expectations, capital expenditure spending and expected operations KPI measurement. ISA-95 information exchanges aggregate key metrics from operations and production into enterprise planning and supply chain algorithms and data models. Leveraging KPIs derived from ISA-95 Part 3 manufacturing operations exchanges, the resulting operational metrics measure and then align true operational and financial benefits sought tactically by the organization. Relevant production measures for KPI construction are defined from manufacturing processes. The high-performance organization aims at achieving operational excellence by minimizing low-level process variability through the Part 3 manufacturing operations analytics. Manufacturing analytics aggregate the large number and quantity of low-level, real-time I/O measures. Several organizations like Supply Chain Council and it SCOR Model, the Project Management Institute (PMI ), authors like Kaplan and Norton (Balance Scoreboard) and business/manufacturing intelligence software companies are all involved in defining and using enterprise-level KPIs. This ISA-95 best practice document intends to facilitate the use of ISA-95 standard when applying and constructing these enterprise-level KPIs and operations metrics. Value Proposition For companies strategically investing in operational excellence, Critical Success Factor (CSF) choices are based on discipline, repeatability and efficiency. Business managers must make logical and educated decisions when putting in place technology to achieve a high-degree of consistency and response. For example, manufacturing reduces material variability to increase quality, lower unit costs, increase service levels and reduce risks of product recalls. For high performance organizations, the end game is about using information technology (IT) to provide solutions to increase material throughput by optimizing working (inventory) and physical capital (equipment) in combination with high product quality at the same time. In short, this is the manufacturing IT value proposition to the manufacturing function. For manufacturing systems, the roadmap to align the manufacturing IT solution options (or projects) to the company s business strategy follows the material flow from raw material through working-in-process intermediate material stages to finish goods. For example in the consumer packaged goods industry, manufacturing IT solutions usually typically include: Receiving and inspection of incoming raw ingredients Recipe preparation and material weigh and dispense Recipe batching Packaging and storing Shipping 2006 MESA International 4
5 Throughout this white paper, examples are utilized on the process of defining and implementing KPIs using ISA-95. The first step is to chart the business or its constituents as a series of workflows and analyze and map the dependencies between them. The resulting business processes, along with their associated dependencies and timing, constitutes a working canvas or baseline. A simplified example for a classical Batching- Packaging is illustrated in Figure 1. Figure 1: Typical Manufacturing Materials Costing Workflow In this example, the general workflows all have a subset of underlying services (or added value) in carrying product from one process area to the other. Figure 1 shows only one of the views available (in this case the accounting view to measure costing variances). Other typical views include (but are not limited to): Product Specification Material Procurement Material Logistics (including storage) Standard Operating Procedures Employee Certification and Operation Training Production Scheduling Equipment Maintenance Regulatory Compliance, Quality Control and Continuous Improvement Product Costing Engineering (security, configuration) Planning (bill of resources, manufacturing bill, standard definition) 2006 MESA International 5
6 When looking at the different processes that define a given process, the opportunities to improve processes get clearer as granularity increases and 6 Sigma or Lean analysis is applied. ISA-95 supports all levels of granularity through its recursive data model models (segments, equipment, etc.). In our example above, one may find an opportunity to improve packaging operations to increase customer satisfaction. Customer satisfaction should be a clear stakeholder need as defined in the following section. Many different standard bodies present different models to define enterprise business processes. ISA-95 is based on the Purdue Reference Model, which defines different levels of manufacturing activities. Scheduling of production work takes place at level 4, manufacturing operations management (MOM) and execution of work take place at Level 3 and the physical work takes place at levels 2, 1 and 0. In utilizing ISA-95 to construct KPIs in conjunction with the Supply Chain Operations Reference (SCOR) Model or similar enterprise models, system architects must map the enterprise model to ISA-95 (Purdue) Levels. For instance, SCOR has 4 Levels where Level 1 is the highest Level of abstraction with 9 supply chain benchmark metrics defined in Appendix A, SCOR Performance Attributes and Level 1 Metrics. The SCOR Level 1 metrics are constructed through the configuration of Level 2, which defines supply business processes and through the subsequent Level 3 metrics that define the performance of each process element in a SCOR business process. SCOR Level 3 processes are equivalent and can be mapped to ISA-95 Level 4 processes. Consequently, ISA-95 Level 3 KPI and information flows for manufacturing operations management are able to be mapped in support of SCOR Level 3 business processes MESA International 6
7 Statement of Need (SON) Definition A series of different techniques exist to define key stakeholders needs. Performing an SON functional analysis based on stakeholder s needs and expectations greatly helps in prioritizing capital spending. The functional analysis method maximizes alignment between stakeholders objectives and relevant KPIs. The outcome is usually a SON document, which prioritizes capital spending (options or projects) and their associated relevant measurement. Figure 2 shows the functional analysis technique that decomposes a goal (or an objective) into a series of more detailed functions. The construction of the Functional Breakdown Structure (FBS) is done by starting with the high level functional expectation or need (outmost left). The hierarchy is then defined by asking how the highest level s functional expectation should be fulfilled. The process then continues on until the proper level of granularity is obtained. Once this is done, stakeholder then go on and agree on which lower level functions are the critical (or critical success factors) ones to the fulfillment of their expectation, need or goal. Stakeholder brainstorm on which KPIs are relevant, how frequently they need to be measured to determine whether or not the expectation or need is met (and strategic alignment obtained). Figure 2: SON Functional Breakdown Structure 2006 MESA International 7
8 Critical Success Factors (CSFs) Using the PMI technique, once the functional analysis is completed, CSFs must by identified to ensure the overall stakeholder needs, or goal will be attained. An example is shown in Appendix B, Asset Utilization Functional Analysis Example. Using a functional breakdown structure (FBS) separates the need from the actual solution used to fulfill this need. Appendix B identifies specific functions, which are considered CSFs. Those CSFs are shown in red and they are: i. Resources tracking ii. Measure failures iii. Personnel training iv. Share production forecasting v. Electronic Data Collection vi. Tracking against Production Work Order The Appendix B example illustrates how a given stakeholder need or expectation can be broken down into a hierarchy of nested functions. The example provided is based on analyzing functions required to improve asset utilization from an executive standpoint. In Appendix B example, the following CSFs have been identified (under A through F) and weighed using the double-weighing method with the results shown in Figure 3. Paired Comparison Criteria Evaluation 1 Minor 2 Significant Critical Success Factor A Product Genealogy C Track Intermediates E Spare Parts B Minimize Downtime D Measure Availability F Product SPC Figure 3: Critical Success Factors for Appendix B Example 2006 MESA International 8
9 Based on the feedback from stakeholders, we find the following in Table 1. Functional Breakdown Priority (from double weighing method) Product Genealogy 7 Minimize Downtime 2 Track Intermediates 5 Measure Availability 2 Spare Parts 1 Product SPC 4 Table 1: Stakeholders Feedback After the functions have been prioritized, a list of options or projects is defined that will support critical success factor functions. Options (Project) List used in the example: 1. Electronic Data Collection 2. Track against Production Order / Work Center 3. Personnel Training 4. Measure Failures 5. Resource Tracking 6. Share Production Forecast These opinions need then to be evaluated against two criteria: Benefits contribution or value in contributing to the overall need or goal Risk (from a project standpoint) or achievability This is explained in the following section MESA International 9
10 Prioritizing Options Using the Value Chart The previous section identified which function(s) are critical to achieving stakeholder(s) overall need(s) or goal. Figure 3 lists the priority under which options (or projects) are to be rated. Table 2 shows the measurement of the identified options (or projects) against two (2) factors: achievability and benefit contribution. Achievability takes into account project risks like financial, project, people, complexity, etc. Benefit contribution quantifies the function s overall value to attaining the need or goal. Figure 4, Value Risk Index Chart with KPI Weight, shows the difference options (or projects) used in our example. The priority should always be given on the projects that provide with the highest benefit contribution as well as the highest achievability. These options are located in the upper right quadrant. Since CSFs are identified, weighed and prioritized by stakeholders, their use is critical in determining the overall value of alternative or options (or projects). Project Option Function Name Basic Function Benefit Value 1 Electronic Data Collection Measure Performance Track against Prod. Order/WC Quality Available Personnel Training Personnel Available Measure Failures Equipment Available Resources Tracking Balance Capability/Plan Share Production Forecasts Supplier Management 238 Table 2: Measurement of Identified Options (or Projects) against Two (2) Factors: Achievability and Benefit Contribution Figure 4: Value Risk Index Chart with KPI Weight 2006 MESA International 10
11 Defining and Developing Key Performance Indicators Based on our example, Appendix C, KPI Priorities, are appropriate in ensuring stakeholder s Statement of Needs (SON) is being monitored and evaluated with the right metrics. Appendix C also shows the options (or project) in order of importance (from option/project 1 to 6). After having identified operations and key metrics, companies can then identify the ISA-95 Object Model and Attributes of a Level 3 MOM activity function and the corresponding data exchanges, transaction sequences and workflow uses. These are utilized to define, track, measure, analyze, interface and report metrics to enterprise and supply chain functions (SCOR) and system with Level 4 as well as to other MOM functions and systems within Level 3. For each metric, the following step needs to take place: Define data source and format Assess ISA-95 readiness Define transformation requirement when applicable Measure KPI and operations metrics per product segments Visualize KPI and operation metrics per product segments Analyze and report KPI to extended enterprise Grouping of KPIs must be aligned with stakeholders functional breakdown Statement of Needs (Appendix B Appendix B, Asset Utilization Functional Analysis). In addition to the formally defined Production Performance data model defined in the ISA-95 standard, there is additional information about production that provides summaries of past performance, indications of future performance, or indicators of potential future problems (leading indicators). Collectively, this information is defined as "Production Indicators". Examples are listed in Table 3, Examples of Production Indicators. One of the activities within production performance analysis is the generation of Production Indicators. This information typically is used internally within manufacturing operations for improvements and optimization. For instance, if receiving Level 4 business process (production scheduling and logistics) requires Level 3 Production Indicators or Production Performance information, then it may also be sent to higher-level supply chain management business processes for KPI construction, further analysis and supply chain decisions (typically SCOR, Appendix A). Production indicators can be as simple as values of process tags used as inputs to complex process models. There is a core set of values related to production output, but there can be a significant variation in the core set based on the vertical industry MESA International 11
12 Production indicators are often combined at Level 4 functions such procurement with financial information, or at Level 3 functions such as performance analysis (utilization Level 4 activity based costing standards) to provide cost based indicators to trigger decisions. As described in the Appendix B, breaking up the desired high level manufacturing operational expectation into its functional constituents allows the prioritization of capital spending. KPI s typically feed into aggregated overall metrics (like SCOR, Appendix A). Category KPI Comment Order Fulfillment Actual production rate as a percentage of the maximum capable production rate Percentage of lots or jobs expedited by bumping other lots or jobs from schedule Production and test equipment set-up time Production schedules met (percentage of time) Actual versus planned volume Asset Utilization Average machine availability rate or machine uptime Percentage of tools that fail certification Hours lost due to equipment downtime Cumulative count of machine breakdown Quality Major component first-pass yield First product, first pass quality yield Reject or return rate on finished products Reject-rate reduction Rework-repair hours compared to direct mfg. hours Scrap and rework as a percentage of sales Scrap and rework percentage reduction Rework and repair labor cost compared to total manufacturing labor cost Number of process changes per operation due to errors Number of training days Yield improvement Personnel Percentage increase in output per employee Percentage unplanned overtime Safety and Security incidents Percentage of operators with expired certifications Productivity Percentage of assembly steps automated Percentage reduction in manufacturing cycle time Productivity: units per labor hour Engineering HMI data entry count Percentage of alarm reduction Material Time line is down due to sub-assembly shortage Count of supplier shortages per period Material consumption variances from standards Planning Percentage reduction in component lot sizes Manufacturing cycle time for a typical product Percentage error in yield projections Standard order-to-shipment lead time for major products Time required to incorporate engineering changes Table 3: Examples of Production Indicators 2006 MESA International 12
13 Note: this list is non-exhaustive and is only provided to illustrate typical manufacturing KPIs and how ISA-95 provides with a data definition framework for these KPIs. Collecting Data and Normalizing Manufacturing Information Logical and educated business decisions can be made when putting in place manufacturing operations management (MOM) technology to achieve a high-degree of manufacturing and supply chain Responsiveness and Flexibility. ISA-95 offers a normalized data definition framework to manage KPIs and construct them based on operations metrics particularly Part 2, Object Attributes, and Parts 3 Activity and Object Models and Attributes of MOM. When using the standard, companies solve one of the challenges data normalization brings, which is the agreement on metric definition across the business. The operations metrics are the derived analysis for resources (material, personnel, and equipment/work unit) at the product and process segment level used in the macro form for scheduling the micro form for dispatching and execution. The result of analysis and aggregation of the operations metrics are used to construct the KPIs for Performance Analysis in Product Definition, Production and Process Capabilities and Requested Schedule (Performance). Appendix D illustrates the Part 2 P object model inter relations for MOM data aggregation and analytics for KPI construction. Appendix E is an example of using ISA-95 as a unified data definition framework in defining KPIs. 1. The figure shows how planned production is measured against actual 1.1. The variance provides with a typical Production-related KPI Metric 1.2. In this case, an Actual versus planned volume KPI is derived from the model 2. Example #2 is to measure Equipment Capability versus Equipment Actual Use 2.1. The variance provides with a typical Asset Utilization KPI Metric 2.2. In this case, an Hours lost due to equipment downtime KPI is derived from the model 3. Example #3 is to measure Material Consumption Variance 3.1. This variance provides with a typical Material-related KPI Metric 3.2. In this case, a First product, first pass quality yield KPI is derived from the model 4. Example #4 is to measure Operator Certification 4.1. This exception count provides with a typical Quality-related KPI metric 4.2. In this case, a Percentage of operators with expired certifications KPI is derived from the model 2006 MESA International 13
14 Appendix F, Actual versus Planned Production Volume: ISA-95 KPI Examples, provides an example of how an ISA-95 KPI is used to track manufacturing cycle variances. It also highlights how this particular KPI can be aggregated and rolls into a supply chain responsiveness metric. In our example, the SCOR Order Fulfillment Lead Time metric (Sum of procurement cycle, manufacturing cycle and replenishment cycle) uses the ISA-95 KPI to measure time variances between Planned and Actual manufacturing time for a particular product being manufactured. Example A in Appendix F also shows a ISA-95 level 3-4 transaction where variance is measured between scheduled start time, actual start and end time. This variance is used to measure the average manufacturing cycle (and possibly its standard deviation to include process variability constraints). The averaged KPI then is used to feed a Level 1 SCOR Supply Chain operation metric (Appendix A). Note: Level 5 (Sales Order Management and Plant-to-Plant Communication and Assignment) and 6 (Supply Chain Management) are defined in the Purdue Reference Model (PRM). These levels help define data exchanges between functional entities. For example, ISA-95 addresses the PRM Level 3 to 4 interface and the Level 3 MOM activities. Periodic Review and Adjustment Companies must keep in mind the fluid nature of KPIs as their importance shift over time depending of the SON and market and technology trends. These needs are influenced by the company s external and internal environment like: Competitive threat New entrant Customer changing needs Regulatory compliance Mergers and Acquisitions, etc. Also, critical success factors affecting the business today are most likely to change as time goes by. The need to periodically conduct SON meetings, evaluate business manufacturing strategy s effectiveness and the return capital productivity return is necessary. Measuring and monitoring relevant KPIs against a baseline supports ensuring the business strategy is met MESA International 14
15 Conclusion Operational excellence in manufacturing is now required to support true Supply Chain Responsiveness and Flexibility. When planning and executing business strategies, stakeholders expectations and needs must by measured and monitored in order to ensure operational alignment. ISA-95 standard provide with a highly efficient way of leveraging shop floor information. This is especially true for companies dealing with multiple manufacturing sites. Not only does ISA-95 provide with contextualized and normalized data model, it also offers vocabulary that is used by business managers and decision makers. Finally, it also offers the right granularity that is necessary to measure actionable Key Performance Indicators, which can further be aggregated to service Supply Chain Models MESA International 15
16 Appendix A: SCOR Performance Attributes and Level 1 Metrics Customer Facing Activities SCOR Performance Attribute SCOR Metric Definition LEVEL 1 SCOR Metrics A. Supply Chain Delivery Reliability The performance of the supply chain in delivering: A1. Perfect Order Fulfillment the correct product, to the correct place, at the correct time, in the correct condition and packaging, in the correct quantity, with the correct documentation, to the correct customer. B. Supply Chain Responsiveness The velocity at which a supply chain provides products B1. Order Fulfillment Cycle Time to the customer. C. Supply Chain Flexibility The agility of a supply chain in responding to marketplace C1. Upside Supply Chain Flexibility changes to gain or maintain competitive advantage. C2. Upside Supply Chain Adaptability C3. Downside Supply Chain Adaptability Internal Facing Activities SCOR Performance Attribute SCOR Metric Definition LEVEL 1 SCOR Metrics D. Supply Chain Costs The costs associated with operating the supply chain. D1. Cost of Goods Sold D2. Total Supply Chain Management Costs E. Supply Chain Asset The effectiveness of an organization in managing E1. Return on Supply Chain Fixed Management Efficiency assets to support demand satisfaction. This includes the Assets management of all assets: fixed and working capital. E2. Cash-to-cash Cycle Time Table 5: SCOR Level 1 Benchmark Metrics 2006 MESA International 16
17 Appendix B: Asset Utilization Functional Analysis Example 2006 MESA International 17
18 Appendix C: KPI Priorities 2006 MESA International 18
19 Appendix D: Object Model Inter-Relations 2006 MESA International 19
20 Appendix E: Standardized Data Definition Framework 2006 MESA International 20
21 Appendix F: Actual versus Planned Production Volume: ISA-95 KPI Examples Example A. PRODUCTION SCHEDULE, PLANNED ID A unique identification of the production schedule and could include version and revision identification. The ID shall be used in other parts of the model when the production schedule needs to be identified. Example: A15 Description Contains additional information and descriptions of the production schedule. Example: Widget manufacturing schedule. Production Schedule Identification of the associated production schedule. Example: A15 Example A. PRODUCTION PERFORMANCE, ACTUALS ID A unique identification of the production performance and could include version and revision identification. The ID shall be used in other parts of the model when the Production performance needs to be identified. Example: A15 Description Contains additional information and descriptions of the production performance. Production performance report on Oct 27, 1999 production schedule. Production Schedule Identification of the associated production schedule, if applicable. Production performance may not relate to a production schedule, it may be a report on production for a specific time, or reported by plant floor events. Example: A15 Start Time Start Time Start time for the associated production schedule, if applicable. Start time of the associated production performance, if applicable. Example: Example: End Time End Time End time for the associated production schedule, if applicable. End time of the associated production performance, if applicable. Example: Example: Published Date Published Date Date/time on which the production schedule was published/generated. Date/time on which the production performance was published/ generated. Example: :30 UTC Example: :42 EST Location Location Identification of the associated element of equipment hierarchy model. Identification of the associated element of the equipment hierarchy model. Example: East Wing Manufacturing Line #2 Example: East Wing Manufacturing Line #2 Element Type A definition of the type of the associated element of the equipment hierarchy model. Example: Enterprise, Site, Area, Production Line Element Type A definition of the type of associated element of the equipment hierarchy model. For example: enterprise, site, area. Example: Production Line 2006 MESA International 21
22 Author Yves C. Dufort Eng, MBA Invensys / Wonderware Contributing Editor Charlie Gifford Director-Lean Production Mgt. GE Fanuc Automation Americas charlie.gifford@ge.com Reviewer Clifford Lichkowski Plant Engineer Prairie Malt Limited (a Cargill Inc. Joint Venture) clifford_lichkowski@prairiemalt.com 2006 MESA International 22
23 2006 MESA International 23
24 Wonderware Overview: Wonderware is a business unit of Invensys plc. Wonderware is the world s leading supplier of industrial automation and information software. Founded in 1987, Wonderware pioneered the use of the Microsoft Windows operating system in HMI software for manufacturing operations. Today Wonderware s leading software products and solutions for Production & Performance Management, Supervisory HMI and SCADA applications are Powering Intelligent Plant Decisions, In Real-Time, enabling customers to improve profitability across a wide range of discrete, process and hybrid manufacturing industries. Wonderware s software products and solutions are based on the ArchestrA architecture from Invensys. Based in Lake Forest, California, Wonderware has regional sales and development offices throughout the North American, European, Latin American and Asia-Pacific regions to provide support to its network of more than 160 distributor offices. Wonderware has licenses in approximately 100,000 plants worldwide, which is about 30 percent of the world s 335,000 plants with 20 or more employees. For more information, visit About ISA: Founded in 1945, ISA ( is a leading, global, nonprofit organization that is setting the standard for automation by helping over 30,000 worldwide members and other professionals solve difficult technical problems, while enhancing their leadership and personal career capabilities. Based in Research Triangle Park, North Carolina, ISA develops standards; certifies industry professionals; provides education and training; publishes books and technical articles; and hosts the largest conference and exhibition for automation professionals in the Western Hemisphere. ISA is the founding sponsor of The Automation Federation ( About MESA: MESA promotes the exchange of best practices, strategies and innovation in managing manufacturing operations and in achieving plant-floor execution excellence. MESA s industry events, symposiums, and publications help manufacturers, systems integrators and vendors achieve manufacturing leadership by deploying practical solutions that combine information, business, manufacturing and supply chain processes and technologies. Visit us online at MESA International 24
Achieving Operational Excellence in Consumer Products Manufacturing
GE Intelligent Platforms Achieving Operational Excellence in Consumer Products Manufacturing The Foundation of Sustainable Productivity and Profitability Achieving Operational Excellence in Consumer Products
More informationWonderware MES 4.0/Operations and Performance Software
Software Datasheet Summary Wonderware MES 4.0 gives manufacturers a full- Wonderware MES 4.0/Operations and Performance Software featured Manufacturing Execution System (MES) to effectively manage your
More informationOperational Business Intelligence in Manufacturing
Operational Business Intelligence in Manufacturing Copyright 2007 KeyTone Technologies Inc. Page 1 SmartWIP - Intelligent Manufacturing with RFID Manufacturers are under competitive pressure to fulfill
More informationUnderstanding Manufacturing Execution Systems (MES)
Understanding Manufacturing Execution Systems (MES) Presented by: Shirley Schmidt Freedom Technologies 10370 Citation Dr., Suite 200 Brighton, MI 48116 Phone: 810-227-3737 www.freedomcorp.com What is a
More informationWonderware MES/Operations Managing the transformation of materials into finished products in real time
Wonderware MES/Operations Managing the transformation of materials into finished products in real time Wonderware offers a complete set of MES software functionality to digitize your industrial operations
More informationWork Process Management for Adaptive Manufacturing
Intelligent Integration Interface I 3 Work Process Management for Adaptive Manufacturing WHITE PAPER #36 A MESA International and GE Intelligent Platforms co-branded white paper. 21 October 2010 MESA 107
More informationWonderware InBatch. Flexible batch management
Flexible batch management Wonderware InBatch is control system independent software that can be used for the most complex batching processes that require a high level of flexibility. Sophisticated equipment
More informationWonderware MES Software 2012
Invensys Software Datasheet Summary Wonderware MES Software gives manufacturers complete plant visibility and control to effectively manage manufacturing and quality operations and ensure product safety
More informationF&N Dairies Achieves Significant Savings in Production, Logistics and Inventory Costs with Wonderware MES Software
Success Story F&N Dairies Industry: Food and Beverage At our Rojana factory, F&N Dairies produces 3 million cans a day of sterilized milk, or 2,500 cans per minute. With the integration of Wonderware software
More informationImprove the Agility of Demand-Driven Supply Networks
GE Intelligent Platforms Improve the Agility of Demand-Driven Supply Networks Leverage real-time production data to optimize the supply chain for a sustainable competitive advantage Improve the Agility
More informationFOOD & BEVERAGE CONSUMER PACKAGED GOODS INDUSTRIES
FOOD & BEVERAGE CONSUMER PACKAGED GOODS INDUSTRIES FOOD & BEVERAGE - CONSUMER PACKAGED GOODS INDUSTRIES THE INVENSYS DIFFERENCE Today s Food & Beverage and Consumer Packaged Goods (CPG) manufacturers face
More informationSIMATIC IT Historian. Increase your efficiency. SIMATIC IT Historian. Answers for industry.
SIMATIC IT Historian Increase your efficiency SIMATIC IT Historian Answers for industry. SIMATIC IT Historian: Clear Information at every level Supporting Decisions and Monitoring Efficiency Today s business
More informationBank Robber Slick Willie Sutton When asked why he robbed banks, Sutton simply replied "Because that's where the money is."
A Bit of History: 1930-1950 Bank Robber Slick Willie Sutton When asked why he robbed banks, Sutton simply replied "Because that's where the money is." 1 SCOR Benchmarking - Presentation Where the Money
More informationWW OPS-05 Improve Production Execution Visibility, Agility & Performance with Wonderware MES
Slide 1 WW OPS-05 Improve Production Execution Visibility, Agility & Performance with Wonderware MES social.invensys.com @InvensysOpsMgmt / #SoftwareRevolution Jeff Nuse /InvensysVideos Senior Product
More information2015 WW Australia Training Catalogue
2015 WW Australia Training Catalogue Wonderware Software Solutions for Real-Time Success Wonderware is the market leader in real-time operations management software. Wonderware software solutions enable
More informationSTRATEGY 1: DETERMINE DESIRED PERFORMANCE METRICS
operational, tactical, and strategic. 2 Operational and tactical decisions generally involve choices or decisions about current business processes. Although strategic decisions may relate to the current
More informationAspen InfoPlus.21. Family
Aspen InfoPlus.21 Family The process industry s most comprehensive performance management and analysis solution for optimizing manufacturing and improving profitability The Aspen InfoPlus.21 Family aggregates
More informationIntegrating Your ERP and MES to Improve Operations
GE Intelligent Platforms Integrating Your ERP and MES to Improve Operations Advanced enterprise integration applications enable companies to leverage real-time information exchange between the business
More informationMaximize Production Efficiency through Downtime and Production Reporting Solution
Maximize Production Efficiency through Downtime and Production Reporting Solution In today s competitive market, every mineral processing facility is striving to operate their plant assets at a maximum
More informationMESA Metrics that Matter Revisited
MESA Metrics that Matter Revisited Public Summary Report of Correlating Plant Performance to Business Performance A MESA International and Cambashi co branded white paper. 2/4/10 MESA 107 S. Southgate
More informationModule 1: Supply Chain Design
Module 1: Supply Chain Design Module 1 Introduction Section A: Develop the Supply Chain Strategy Chapter 1: Inputs to Supply Chain Strategy o Topic 1: Business Model o Topic 2: External Inputs to Supply
More informationThe Thinking Approach LEAN CONCEPTS. 2012-2013, IL Holdings, LLC All rights reserved 1
The Thinking Approach LEAN CONCEPTS All rights reserved 1 Basic Thinking to Manage the Journey MANAGEMENT TACTICS OF A LEAN TRANSFORMATION All rights reserved 2 LEAN MANAGEMENT Two key questions What is
More informationEnterprise Asset Performance Management
Application Solution Enterprise Asset Performance Management for Power Utilities Using the comprehensive Enterprise Asset Performance Management solution offered by Schneider Electric, power utilities
More informationOracle Manufacturing Operations Center
Oracle Manufacturing Operations Center Today's leading manufacturers demand insight into real-time shop floor performance. Rapid analysis of equipment performance and the impact on production is critical
More informationThe Four Elements of an Effective Food Safety Management System
The Four Elements of an Effective Food Safety Management System Plex Online White Paper At a Glance As processors develop and enhance their Food Safety Management Systems (FSMSs), four key components enable
More informationChoosing KPI s Relevant to your Business Objectives
Introduction- The challenge of KPI s Choosing KPI s Relevant to your Business Objectives Marc Leroux Global Marketing Collaborative Production Management It s not a new concept. For over 100 years people
More informationGE Fanuc Production Management Software
ARC ADVISORY GROUP Orlando Forum 2008 Erik Udstuen Vice President, Intelligent Platforms ARC ADVISORY GROUP Orlando Forum 2008 & Pfizer and Our Vision Technology Roadmap 2 GE Enterprise Solutions Enterprise
More informationOperations Management and the Integrated Manufacturing Facility
March 2010 Page 1 and the Integrated Manufacturing Facility This white paper provides a summary of the business value for investing in software systems to automate manufacturing operations within the scope
More informationSoftware solutions for manufacturing operations management. Helping manufacturers optimize the Digital Enterprise and realize innovation
Siemens PLM Software Software solutions for manufacturing operations management Helping manufacturers optimize the Digital Enterprise and realize innovation www.siemens.com/mom A holistic approach to optimize
More informationAgile Manufacturing for ALUMINIUM SMELTERS
Agile Manufacturing for ALUMINIUM SMELTERS White Paper This White Paper describes how Advanced Information Management and Planning & Scheduling solutions for Aluminium Smelters can transform production
More informationEnhance Production in 6 Steps Using Preventive Maintenance
Enhance Production in 6 Steps Using Preventive Maintenance 1 Enhance Production in 6 Steps Using Preventive Maintenance Preventive Maintenance (PM) is 30% less expensive than reactive approaches Using
More informationof The New England Water Works Association
Journal Our 132nd Year of The New England Water Works Association Volume 127 No. 2 June 2013 PUTNAM WATER TREATMENT PLANT AQUARION WATER COMPANY OF CONNECTICUT GREENWICH, CONNECTICUT New England Water
More informationLean manufacturing in the age of the Industrial Internet
Lean manufacturing in the age of the Industrial Internet From Henry Ford s moving assembly line to Taiichi Ohno s Toyota production system, now known as lean production, manufacturers globally have constantly
More informationArchestrA Workflow 2012 R2
Software Datasheet Summary ArchestrA Workflow brings Business Process Management to your industrial operations. ArchestrA Workflow will: Ensure consistent execution of standard work processes Analyze existing
More informationCHOOSING THE RIGHT MES VENDOR TO ACHIEVE MANUFACTURING EXCELLENCE: A VENDOR COMPARISON
1 CHOOSING THE RIGHT MES VENDOR TO ACHIEVE MANUFACTURING EXCELLENCE: A VENDOR COMPARISON Overview 2 Manufacturers Face Growing Complexity and Multiple Business Challenges 2 MES Business Benefits and Key
More informationManufacturing Flow Management
Manufacturing Flow Management Distribution D Distribution Authorized to Department of Defense and U.S. DoD Contractors Only Aim High Fly - Fight - Win Supply Chain Management Processes Information Flow
More informationUnifi Technology Group & Software Toolbox, Inc. Executive Summary. Building the Infrastructure for emanufacturing
Unifi Technology Group & Software Toolbox, Inc. Executive Summary Building the Infrastructure for emanufacturing Building the Infrastructure for emanufacturing The term emanufacturing has emerged over
More informationWorld Class Manufacturing
World Class Manufacturing The right tool for the right purpose Year(s) Strategic Supply Chain Design & Operational Strategies Sales & Operations Planning SCP Tools Months Tactical Master Planning / Supply
More informationORACLE PROJECT PLANNING AND CONTROL
ORACLE PROJECT PLANNING AND CONTROL (Formerly Oracle Project Management) KEY FEATURES COLLABORATIVE PROJECT PLANNING Define a project work breakdown structure to align plans to execution Coordinate financial
More informationQuality Takes Lead in MOM Software Deployments and Performance Benefits
Quality Takes Lead in MOM Software Deployments and Performance Benefits Although meeting production demand has been and always will remain the central focus of manufacturers, over time, other business
More informationWhite Paper February 2009. IBM Cognos Supply Chain Analytics
White Paper February 2009 IBM Cognos Supply Chain Analytics 2 Contents 5 Business problems Perform cross-functional analysis of key supply chain processes 5 Business drivers Supplier Relationship Management
More informationRockwell Automation s Business Intelligence Solutions for Manufacturers
ARC VIEW DECEMBER 3, 2009 Rockwell Automation s Business Intelligence Solutions for Manufacturers By Craig Resnick Summary Rockwell Automation recently briefed ARC regarding its latest business intelligence
More informationSIMATIC IT Production Suite Answers for industry.
Driving Manufacturing Performance SIMATIC IT Production Suite Answers for industry. SIMATIC IT at the intersection of value creation processes With SIMATIC IT, Siemens is broadening the scope of MES. Plant
More informationORACLE MANUFACTURING EXECUTION SYSTEM FOR DISCRETE MANUFACTURING
ORACLE MANUFACTURING EXECUTION SYSTEM FOR DISCRETE MANUFACTURING KEY FEATURES The Manufacturing Execution System for Discrete Manufacturing is comprised of the MES Workstation for Operators and the MES
More informationWonderware Workflow ENABLE TRUE COLLABORATION
Invensys Software Datasheet Summary Wonderware Workflow brings Business Process Management to your industrial operations. Wonderware Workflow will: Ensure consistent execution of standard work processes
More informationCOLLABORATIVE MANUFACTURING EXPLAINED
COLLABORATIVE x MANUFACTURING EXPLAINED A MESA International White Paper 1/2004 MESA 107 S. Southgate Drive Chandler, AZ 85226 480-893-6110 info@mesa.org www.mesa.org Collaborative Manufacturing Explained
More informationIntroduction. Background
Predictive Operational Analytics (POA): Customized Solutions for Improving Efficiency and Productivity for Manufacturers using a Predictive Analytics Approach Introduction Preserving assets and improving
More informationBUSINESS TO MANUFACTURING (B2M) COLLABORATION BETWEEN BUSINESS AND MANUFACTURING USING ISA-95 ABSTRACT
BUSINESS TO MANUFACTURING (B2M) COLLABORATION BETWEEN BUSINESS AND MANUFACTURING USING ISA-95 Dennis Brandl dennis.brandl@sequencia.com Sequencia Corporation ABSTRACT Integrating business and manufacturing
More informationWork Process Management
GE Intelligent Platforms Work Process Management Achieving Operational Excellence through Consistent and Repeatable Plant Operations With Work Process Management, organizations can drive the right actions
More informationOptimizing Inventory in Today s Challenging Environment Maximo Monday August 11, 2008
Optimizing Inventory in Today s Challenging Environment Maximo Monday August 11, 2008 1 Agenda The Value Proposition Case Studies Maximo/DIOS Offering Getting Started Q&A 2 Current Inventory Management
More informationTrakSYS. www.parsec-corp.com
TrakSYS TM Real-time manufacturing operations and performance management software. TrakSYS makes it possible to significantly increase productivity throughout the value stream. TM www.parsec-corp.com Contents
More informationEnterprise Resource Planning Analysis of Business Intelligence & Emergence of Mining Objects
Enterprise Resource Planning Analysis of Business Intelligence & Emergence of Mining Objects Abstract: Build a model to investigate system and discovering relations that connect variables in a database
More informationSAP Preventive Maintenance The Core and More. Len Harms - Vesta
SAP Preventive Maintenance The Core and More Len Harms - Vesta Agenda The Core Preventive Maintenance The Core Light CBM and More The Core PM Preventive Maintenance: Forms Preventive maintenance Time-based
More informationMANUFACTURING EXECUTION SYSTEMS INTEGRATED WITH ERP & SIX SIGMA FOR PROCESS IMPROVEMENTS
MANUFACTURING EXECUTION SYSTEMS INTEGRATED WITH ERP & SIX SIGMA FOR PROCESS IMPROVEMENTS Name: Sumanth Pandith Surendra Institution: Wichita State University Status: Current Full time graduate in Industrial
More informationThe Benefits of Component Object- Based SCADA and Supervisory System Application Development
The Benefits of Component Object- Based SCADA and Supervisory System Application Development By Steven D. Garbrecht, Marketing Program Manager for Infrastructure and Platforms Table of Contents 1. Overview...
More informationBusiness Solutions that Create Value for Aluminium Producers
Business Solutions that Create Value for Aluminium Producers Benefits of an Integrated and Collaborative Approach White Paper This White Paper discusses the business challenges and requirements of the
More informationSteel supply chain transformation challenges Key learnings
IBM Global Business Services White Paper Industrial Products Steel supply chain transformation challenges Key learnings 2 Steel supply chain transformation challenges Key learnings Introduction With rising
More informationProcess Automation - History and Future
Christer Rameback Vice President Process Automation Process Automation - History and Future ABB Automation Technology - 1 - Facts about ABB ABB Automation Technology - 2 A leading power and automation
More informationAustralia Intelligent Transport System.pdf
http://www.gosreports.com Analytics as a Service Market by Solutions (Financial Analytics, Risk Analytics, Customer Analytics, Marketing Analytics, Sales Analytics, Web & Social Media Analytics, Supply
More informationWonderware Intelligence
Invensys Software Datasheet Summary is now Wonderware Intelligence Wonderware Intelligence allows you to connect multiple plant /enterprise data sources to join, relate and maintain a history of your real
More informationEnhancing Performance Management in the Batch Process Industries
Enhancing Performance Management in the Batch Process Industries Application Brief About AspenTech AspenTech is a leading supplier of software that optimizes process manufacturing for energy, chemicals,
More informationFive Tips to Achieve a Lean Manufacturing Business
Five Tips to Achieve a Lean Manufacturing Business Executive Overview Introduction The more successful manufacturers today are those with the ability to meet customer delivery schedules while maintaining
More informationSymbios Overview Lean Supply Chain Quality Improvement Customer Satisfaction Productivity Speed Cost
Symbios Overview Lean Supply Chain Quality Improvement Customer Satisfaction Productivity Speed Cost 2 Company formed in the UK by people from Ford Motor Company and AlliedSignal Brief History of Symbios
More informationOracle Manufacturing Operations Center Provides Real-time Benefits for Leading Gear Manufacturer in Asia
JANUARY 3, 2013 Provides Real-time Benefits for Leading Gear Manufacturer in Asia By Janice Abel Keywords Enterprise Manufacturing Intelligence (EMI), Shop Floor Data, Real-Time Data, Big Data, Integration,
More informationThe Benefits of PLM-based CAPA Software
For manufacturers in industries that produce some of the world s most complex products, effective quality management continues to be a competitive advantage. Whether in automotive, aerospace and defense,
More informationManufacturing Operations Management. Dennis Brandl
Manufacturing Operations Management Dennis Brandl BR&L Consulting Peter Owen Eli Lilly & Co Dennis Brandl 1 Objectives Review the ISA 95 standards and how they are being used in companies like Eli Lilly
More informationReal-time Visibility. RFID-enabled Applications for Asset Tracking. Deployment Guide. Delivering Real-Time Visibility to the Enterprise
Real-time Visibility RFID-enabled Applications for Asset Deployment Guide Delivering Real-Time Visibility to the Enterprise 2010 OATSystems Assets Across the Value Chain By adding real-time visibility
More informationTurn data into profit with the industry s most comprehensive MES solution on the market
aspenone MES Turn data into profit with the industry s most comprehensive MES solution on the market aspenone MES delivers more efficient data management, improved production execution, and enhanced performance
More information4 Elements of an Effective Food Safety Management System. How to meet your changing challenges and ensure success.
4 Elements of an Effective Food Safety Management System How to meet your changing challenges and ensure success. Safety is everything Food and Beverage manufacturers face a range of pressures: increasingly
More informationAvantis Enterprise Asset Management Suite
Avantis Enterprise Asset Management Suite The Avantis Enterprise Asset Management Suite (EAM) of offerings represent the core of the Asset Performance Management (APM) solution set. APM will help you deliver
More informationDriving supply chain excellence through Lean Digital SM
Solution Overview Generating Supply Chain Impact Driving supply chain excellence through Lean Digital SM Supply chain excellence offers competitive advantage in a global marketplace that is characterized
More informationWhy Smart Water Networks Boost Efficiency
Why Smart Water Networks Boost Efficiency by Jeff M. Miller and Mark Leinmiller Executive summary The Smart Water Network (SWAN) is the water utility industry s equivalent to the energy industry s Smart
More informationQUICK REFERENCE GUIDE MOBILE HUMAN MACHINE INTERFACE (HMI): INNOVATION THAT EMPOWERS THE MOBILE OPERATOR
MOBILE HUMAN MACHINE INTERFACE (HMI): INNOVATION THAT EMPOWERS THE MOBILE OPERATOR Mobile operators are critical to ensuring the overall efficiency and uptime of the production line and play a critical
More informationModel, Analyze and Optimize the Supply Chain
Model, Analyze and Optimize the Supply Chain Optimize networks Improve product flow Right-size inventory Simulate service Balance production Optimize routes The Leading Supply Chain Design and Analysis
More informationOracle Value Chain Planning Inventory Optimization
Oracle Value Chain Planning Inventory Optimization Do you know what the most profitable balance is among customer service levels, budgets, and inventory cost? Do you know how much inventory to hold where
More informationViewPoint. Building and leveraging Metrics Framework to drive Supply Chain Performance. Tejas Faldu, Srikanth Krishna. Abstract
Building and leveraging Metrics Framework to drive Supply Chain Performance Tejas Faldu, Srikanth Krishna ViewPoint Abstract A well designed and integrated metrics framework increases the capability of
More informationPRODUCTION AND PERFORMANCE MANAGEMENT CENTERLINING: SET POINT MANAGEMENT ESSENTIAL TO STAYING IN THE GAME
PRODUCTION AND PERFORMANCE MANAGEMENT CENTERLINING: SET POINT MANAGEMENT ESSENTIAL TO STAYING IN THE GAME CENTERLINING: SET POINT MANAGEMENT ESSENTIAL TO STAYING IN THE GAME CENTERLINING Centerlining:
More informationReal-time Visibility. RFID-enabled Applications for Supply Chain & Logistics Operations. Reference Guide. 2009 OATSystems
Real-time Visibility RFID-enabled Applications for Supply Chain & Logistics Operations Reference Guide 2009 OATSystems Real-time Visibility Across the Value Chain By adding real-time visibility to business
More informationInfor Food & Beverage for the beverage manufacturing industry
Food & Beverage Infor Food & Beverage for the beverage manufacturing industry Take your place on the grocer s shelves The beverage industry is under constant pressure to change. Sugary drinks, like sodas,
More informationPlantPAx Process Automation System. A Modern Distributed Control System
PlantPAx Process Automation System A Modern Distributed Control System Utilize Your Process Automation System to Address Key Market Challenges As technology continues to drive innovations, the production
More informationSupply Chain Management Specialization
Graduate Business Programs SDSU College of Business Administration MBA Program of Study Worksheet Supply Chain Management Specialization MBA Program of Study Worksheet: Supply Chain Management Specialization
More informationFACTORYTALK PRODUCTIONCENTRE Application Solutions for Manufacturing
FACTORYTALK PRODUCTIONCENTRE Application Solutions for Manufacturing F a c t o r y T a l k P r o d u c t i o n C e n t r e FACTORYTALK A COMPLETE PRODUCTION MANAGEMENT SOLUTION Bring measured improvements
More informationReal-Time Analysis and Reporting Software for Production and Performance Management
ActiveFactory 9.0 Real-Time Analysis and Reporting Software for Production and Performance Management PRODUCT HIGHLIGHTS Batch analysis tools (NEW) Improved look and feel (NEW) Historical data replay feature
More informationRaising the Bar on Scalability. By Phil Couling, Marketing Program Manager, Supervisory HMI
Raising the Bar on Scalability By Phil Couling, Marketing Program Manager, Supervisory HMI Table of Contents 1. Introduction...3 2. The Challenge...3 3. Functional Scalability...3 4. Solution Scalability...4
More informationManufacturing Planning and Control
1 Chapter Manufacturing Planning and Control The manufacturing planning and control (MPC) system is concerned with planning and controlling all aspects of manufacturing, including managing materials, scheduling
More informationOVERCOMING FIELD SERVICE & REVERSE LOGISTICS CHALLENGES WITH AN INTEGRATED, BEST OF BREED ENTERPRISE SERVICE MANAGEMENT SYSTEM
OVERCOMING FIELD SERVICE & REVERSE LOGISTICS CHALLENGES WITH AN INTEGRATED, BEST OF BREED ENTERPRISE SERVICE MANAGEMENT SYSTEM A WHITE PAPER BY: Michael R. Blumberg, CMC PRESIDENT, Blumberg Advisory Group
More informationGenerating analytics impact for a leading aircraft component manufacturer
Case Study Generating ANALYTICS Impact Generating analytics impact for a leading aircraft component manufacturer Client Genpact solution Business impact A global aviation OEM and services major with a
More informationJakarta, 16 October 2012. Dr. Sonny Irawan
How to Manage KPI to become Effective Enterprise Jakarta, 16 October 2012 Dr. Sonny Irawan ENTERPRISE EFFECTIVENESS Definition where every business process is working at peak efficiency and perfectly aligned
More informationSeeing Clearly will improve your SCOR
Seeing Clearly will improve your SCOR ProVision Supply-Chain Operations Reference Models 26261 Evergreen Road, Suite 200 Southfield, MI 48076 248/356-9775 FAX 248/356-9025 E-mail info@proformacorp.com
More informationQuality Takes Lead in MOM Software Deployments and Performance Benefits
Quality Takes Lead in MOM Software Deployments and Performance Benefits 1 Quality Takes Lead in MOM Software Deployments and Performance Benefits See the scope of MOM-focused Quality Management software
More informationMANUFACTURING EXECUTION SYSTEMS VS. ERP/MRP
www.globalsmt.net %*(*5 "- &% *5*0/ The Global Assembly Journal for SMT and Advanced Packaging Professionals Volume 11 Number 9 September 2011 ISSN 1474-0893 MANUFACTURING EXECUTION SYSTEMS VS. ERP/MRP
More informationSupply-Chain Operations Reference-model
Supply-Chain Operations Reference-model PLAN SOURCE MAKE DELIVER RETURN SCOR is a registered trademark in the United States and Europe Version 8.0 Supply-Chain Operations Reference-model TABLE OF CONTENTS
More informationEMI Brings Important Benefits to Food Ingredient Company
APRIL 5, 2012 EMI Brings Important Benefits to Food Ingredient Company By Janice Abel Keywords Enterprise Manufacturing Intelligence (EMI), Manufacturing Intelligence, Visualization, Analytics, Reports,
More informationWonderware Skelta BPM
Wonderware Skelta BPM Business Process and Workflow Management for Industrial Operations Wonderware Skelta BPM is advanced business process management and workflow software with direct integration to industrial
More informationReal-time Visibility for SAP in Supply Chain & Logistics:
for SAP in Supply Chain & Logistics: Cost Savings from Real-World Deployments Andres Botero Senior Director Supply Chain Execution Solutions SAP Dan Ahearn Director, Market Development OATSystems, Inc.
More informationGlobal Manufacturing Operations Management
Global Manufacturing Operations Management August 2008 Page 2 Page 3 Executive Summary Executives face numerous challenges in managing global manufacturing operations and successfully collaborating across
More informationChoosing Planning & Scheduling solutions for Metals
Choosing Planning & Scheduling solutions for Metals White Paper The planning and scheduling of metals production presents special problems because of the complexity of the manufacturing process and the
More informationOPTIMIZING PRODUCTION
REAL WORLD SCENARIOS Volume 2 Cases 7-12 OPTIMIZING PRODUCTION SQUEEZE MORE OUT OF PRODUCTION OPTIMIZING SCHEDULING PRODUCTION FLOW IMPROVEMENTS INTEGRATED MAINTENANCE PLANNING INTEGRATED PROJECT MANAGEMENT
More informationDECISYON 360 ASSET OPTIMIZATION SOLUTION FOR U.S. ELECTRICAL ENERGY SUPPLIER MAY 2015
Unifying People, Process, Data & Things CASE STUDY DECISYON 360 ASSET OPTIMIZATION SOLUTION FOR U.S. ELECTRICAL ENERGY SUPPLIER MAY 2015 Decisyon, Inc. 2015 All Rights Reserved TABLE OF CONTENTS THE BOTTOM
More information