Simulation and Optimization of Pharmaceutical Operations. Simulation and Optimization of Pharmaceutical Operations 1
|
|
- Jayson Thomas
- 7 years ago
- Views:
Transcription
1 Simulation and Optimization of Pharmaceutical Operations Simulation and Optimization of Pharmaceutical Operations 1
2 Agenda Why simulate? How to simulate? Simulation in practice Conclusions Simulation and Optimization of Pharmaceutical Operations 2
3 Why Simulate? Simulation and Optimization of Pharmaceutical Operations 3
4 Why Simulate? Why do we need to simulate operations? Because we need crucial figures and System or changes to system do not exist yet System is too complex for equations and spreadsheets Field experimentation is too expensive or time consuming Real-life testing is unsafe, dangerous or leads to disaster And also because Modern computers are fast, powerful and cheap There are many nice software packages out there! Scheduling for operations is a great source of complexity! Simulation and Optimization of Pharmaceutical Operations 4
5 Why Simulate? Production scheduling in a pharmaceutical plant can easily become a threat to mental health Multiple products Multiple packages Changeovers Limited footprint Client orders Existing equipment Equipment availability Best lot sizes? Best sequencing? Deliver on time? Reduce costs? Cleaning times and much more! Simulation and Optimization of Pharmaceutical Operations 5
6 Why Simulate? What about integrating all system aspects into one model? Combination of process expertise and planning know-how Faster and error-free calculations Convenient way to manipulate schedules and validate feasibility Oh! By the way This is called simulation and it can be used to: Select, size and validate new equipment Identify ongoing operations bottleneck(s) Reduce/eliminate undesired waiting times Test alternative production sequences (this list is definitely not exhaustive!) Simulation and Optimization of Pharmaceutical Operations 6
7 Why Simulate? To have a global view on complex industrial systems Layouts, routes, dimensions, stationary and mobile equipment characteristics, technical data HISTORICAL PROCESS DATA Cycle times, schedules, resource availability, logic, routing and operational constraints, reliability DESIGN SPECIFICATIONS SIMULATION MODEL OPERATIONS KNOWLEDGE Performance diagnosis Effective and ultimate throughput Equipment utilization rates Meaningful and custom statistics Trend and pie charts, histograms Simulation and Optimization of Pharmaceutical Operations 7
8 Why Simulate? To provide fact-based strategic insights when in matters ENGINEERING PROJECTS Conceptual model Model with basic data Update model with existing data Enriched model, what if analysis Troubleshooting with model Expand or modernize with existing model De-bottlenecking and fine tuning Continuous improvement ONGOING OPERATIONS Simulation and Optimization of Pharmaceutical Operations 8
9 How to Simulate? Simulation and Optimization of Pharmaceutical Operations 9
10 How to Simulate? Mankind has been creative when it comes to simulation Here is a short classification of relevant simulation techniques: Deterministic Stochastic Static Algebraical equations Markov chains Monte-Carlo Dynamic Differential equations (process simulation) Discrete events simulation (operations simulation) Dynamic: time-dependant model, decisions based on current system state Stochastic: model uses random values and probabilities Simulation and Optimization of Pharmaceutical Operations 10
11 How to Simulate? Principles of discrete events simulation in 3 words! Discrete Events Simulation System updated at countable number of times System states and flows constant between events Absence of smooth and continuous transition Changes in a state, flow, record, schedule, etc. Beginnings and endings of cycles Arrivals and departures of resources Scheduled activities Model evolves from one event to the other An event can create a cascade of upcoming events Simulation executes the time-ordered list of events Simulation and Optimization of Pharmaceutical Operations 11
12 SIMULATION USEFULNESS SIMULATION FOCUS How to Simulate? Process design Operations design Thermodynamics Fluid mechanics Heat and mass transfer (Bio)chemical reactions PID / control loops Flow of bulk materials and parts Transport and kinematics Interactions and variability Tasks and resources coordination Reliability and maintenance Design unit operations Establish flows and compositions Calculate utilities and requirements Find how to ensure unit operations Establish overall system throughput Assess impact of resources availability Simulation and Optimization of Pharmaceutical Operations 12
13 How to Simulate? Ingredients of a discrete events simulation model that are common in the pharmaceutical industry Components for mass balance of fluid/bulk process Components for logistics, movement and materials handling Plant-wide components Tanks, pipes, valves, flow control Conveyors, feeder bins, stockpiles Batching cycles and filling processes Changeover, cleaning, queuing for CIP Trucks loading and unloading AGV, forklift, and cart deliveries Staging, palletizing and warehousing Personnel interactions with process Weekly/daily production schedules Operators and task coordination Equipment reliability & maintenance Simulation and Optimization of Pharmaceutical Operations 13
14 How to Simulate? Model outputs can be customized and provide decision-ready facts that are easy to interpret Gantt-style effective schedules On-time order fulfillment scorecards Equipment utilization rates with breakdown Filling line throughput Evolution of work-in-progress inventories Simulation and Optimization of Pharmaceutical Operations 14
15 How to Simulate? A structured, scientific and rigorous methodology is needed to guide simulation studies: 1 DATA & INFO. COLLECTION Discover assets and operations Obtain data and knowledge 2 MODEL SPECIFICATION Understand how system works Describe how it will be modelled 3 MODEL DEVELOPMENT Implement in simulation package Verify and validate model 4 SYSTEM OPTIMIZATION Test improvements Increase performance Simulation and Optimization of Pharmaceutical Operations 15
16 Simulation in Practice Simulation and Optimization of Pharmaceutical Operations 16
17 Simulation in Practice Production scheduling is crucial to ensure: For the Client: on-time order fulfillment For the company: Maximum use of installed equipment and personnel Minimization of waste The challenge is to answer the basic questions: What is the required equipment capacity to fulfill orders on-time? What is the maximum volume that can be accommodated? What is the optimal production schedule? Equipment selection and process scheduling are inter-related: To select equipment, one needs to know the desired production schedule To establish a production schedule, one needs to know what equipment to use Simulation and Optimization of Pharmaceutical Operations 17
18 Simulation in Practice Simulation-aided iterative scheduling strategy Obtain client s ordered volumes EXECUTE SIMULATION Analyze and interpret results Edit lot sizes and production sequences Validate production schedule Traditional scheduling process Iterative simulationaided process Update product characteristics Update equipment specifications yes Optimization opportunities identified? no Production scheduling completed Simulation and Optimization of Pharmaceutical Operations 18
19 Simulation in Practice Old School Simulation Methods: Excel spreadsheets used to schedule unit operations (both manufacturing and transverse support) Simulation and Optimization of Pharmaceutical Operations 19
20 Simulation in Practice Old School Simulation Methods: Include hourly clean and black utility estimates Simulation and Optimization of Pharmaceutical Operations 20
21 Simulation in Practice Old School Simulation Results: Hourly utility requirements Overall facility utility sizing Simulation and Optimization of Pharmaceutical Operations 21
22 Simulation in Practice Old School Simulation Issues: Excel sheets become large with many background calculations (crashing) Changes / scenario investigation tedious Copy / paste schedule Re-align process steps Introduce new sheets? How many CIPs was that? Simulation and Optimization of Pharmaceutical Operations 22
23 Simulation in Practice Today s Simulation Methods: Process analysis / optimization Scenario investigation Utility sizing CIP allocation Comprehensive buffer & media strategies Hourly utility usage Multi-product campaign scheduling for the year Simulation and Optimization of Pharmaceutical Operations 23
24 Simulation in Practice Today s Simulation Results: Simulation and Optimization of Pharmaceutical Operations 24
25 Simulation and Optimization of Pharmaceutical Operations 25
26 Simulation in Practice Optimal schedule for installed equipment and fixed demand Equipment characteristics, production volumes and deadlines are known Use the methodology to determine the best production sequence Minimize waiting and down times to reduce costs Maximize production capacity with installed equipment Equipment characteristics are known Unknown: how much can be produced Increase volumes and optimize schedule iteratively until no more marginal capacity Modify equipment for fixed demand, maintain optimality Future or desired production volumes are known Unknown: required equipment to ensure on-time fulfillment Add the least equipment possible and maintain schedule optimality Simulation and Optimization of Pharmaceutical Operations 26
27 Conclusions Simulation and Optimization of Pharmaceutical Operations 27
28 The Final Words Production scheduling is a challenging endeavour Designing or modernizing a facility is even more challenging Fundamental problem: optimal scheduling and equipment selection are interdependent Operations simulation supports this optimization task Representation of schedules, tasks, flowrates, storage, human interventions, etc. Selection, sizing and validation of equipment requirements Reduction of waiting and down times Benefits of simulation for pharmaceutical processes Centralized, consensual and cross-discipline model Reduced calculation time and risk of error Increased decision-making power Simulation and Optimization of Pharmaceutical Operations 28
29 Questions? Simulation and Optimization of Pharmaceutical Operations 29
30 Thank you for your attention! FOR MORE INFORMATION: Vincent Béchard Discrete Event Simulation Designer Office: #57221 John Black Senior Process Engineer Office: #52154 Richard Fecteau VP, Business Development Office: #54406 Simulation and Optimization of Pharmaceutical Operations 30
Copyright. Network and Protocol Simulation. What is simulation? What is simulation? What is simulation? What is simulation?
Copyright Network and Protocol Simulation Michela Meo Maurizio M. Munafò Michela.Meo@polito.it Maurizio.Munafo@polito.it Quest opera è protetta dalla licenza Creative Commons NoDerivs-NonCommercial. Per
More informationDiscrete-Event Simulation
Discrete-Event Simulation Prateek Sharma Abstract: Simulation can be regarded as the emulation of the behavior of a real-world system over an interval of time. The process of simulation relies upon the
More informationQUEST The Systems Integration, Process Flow Design and Visualization Solution
Resource Modeling & Simulation DELMIA QUEST The Systems Integration, Process Flow Design and Visualization Solution DELMIA QUEST The Systems Integration, Process Flow Design and Visualization Solution
More informationAutomated Scheduling Methods. Advanced Planning and Scheduling Techniques
Advanced Planning and Scheduling Techniques Table of Contents Introduction 3 The Basic Theories 3 Constrained and Unconstrained Planning 4 Forward, Backward, and other methods 5 Rules for Sequencing Tasks
More informationThe problem with waiting time
The problem with waiting time Why the only way to real optimization of any process requires discrete event simulation Bill Nordgren, MS CIM, FlexSim Software Products Over the years there have been many
More informationCustomer Success Stories
Customer Success Stories Read how the following organizations have built up simulation skills, using SIMUL8 simulations to maximize business performance. General Motors, Manufacturing/Automotive GM increase
More informationTAYLOR II MANUFACTURING SIMULATION SOFTWARE
Prnceedings of the 1996 WinteT Simulation ConfeTence ed. J. M. ClIarnes, D. J. Morrice, D. T. Brunner, and J. J. 8lvain TAYLOR II MANUFACTURING SIMULATION SOFTWARE Cliff B. King F&H Simulations, Inc. P.O.
More informationJustifying Simulation. Why use simulation? Accurate Depiction of Reality. Insightful system evaluations
Why use simulation? Accurate Depiction of Reality Anyone can perform a simple analysis manually. However, as the complexity of the analysis increases, so does the need to employ computer-based tools. While
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 information3.7 Logistics Execution
106 3 SAP EP Operations 3.7 Logistics Execution The Logistics Execution (LE) component controls and organizes both the movement of material within the enterprise (warehouse management) and also transportation
More informationHSR HOCHSCHULE FÜR TECHNIK RA PPERSW I L
1 An Introduction into Modelling and Simulation Prof. Dr.-Ing. Andreas Rinkel af&e andreas.rinkel@hsr.ch Tel.: +41 (0) 55 2224928 Mobil: +41 (0) 79 3320562 Goal After the whole lecture you: will have an
More informationContinuous Sales & Operations Planning
Continuous Sales & Operations Planning Aamer Rehman VP, Manufacturing Solutions Las Vegas - Jan 27, 2012 Copyright 2012 Kinaxis Inc. All Rights Reserved. Prelude Volatility is a given in today s environment
More informationOperations and Supply Chain Simulation with AnyLogic 7.2
Operations and Supply Chain Simulation with AnyLogic 7.2 Decision-oriented introductory notes for management students in master programs Prof. Dr. Dmitry Ivanov Berlin School of Economics and Law Professor
More informationWhat is Modeling and Simulation and Software Engineering?
What is Modeling and Simulation and Software Engineering? V. Sundararajan Scientific and Engineering Computing Group Centre for Development of Advanced Computing Pune 411 007 vsundar@cdac.in Definitions
More informationInterpreting the Numbers: From Data to Design. William Elenbark, Consultant Gross & Associates 732-636-2666; belenbark@grossassociates.
Interpreting the Numbers: From Data to Design William Elenbark, Consultant Gross & Associates 732-636-2666; belenbark@grossassociates.com Robert Muller, Industrial Engineer Gross & Associates 732-636-2666;
More informationRecommended Practice for Software Acquisition
Recommended Practice for Software Acquisition PSIG 003/2000 Objective: To develop a set of practices that may be used in the acquisition of pipeline simulation software. Pipeline Simulation Interest Goup,
More informationA Comparison of System Dynamics (SD) and Discrete Event Simulation (DES) Al Sweetser Overview.
A Comparison of System Dynamics (SD) and Discrete Event Simulation (DES) Al Sweetser Andersen Consultng 1600 K Street, N.W., Washington, DC 20006-2873 (202) 862-8080 (voice), (202) 785-4689 (fax) albert.sweetser@ac.com
More informationGenerate optimal production schedules to maximize profitability and meet service levels
Aspen Plant Scheduler Family Generate optimal production schedules to maximize profitability and meet service levels Aspen Plant Scheduler Family is comprised of a three-tiered scheduling solution designed
More informationstable response to load disturbances, e.g., an exothermic reaction.
C REACTOR TEMPERATURE control typically is very important to product quality, production rate and operating costs. With continuous reactors, the usual objectives are to: hold temperature within a certain
More informationHMLV Manufacturing Systems Simulation Analysis Using the Database Interface
HMLV Manufacturing Systems Simulation Analysis Using the Database Interface JURAJ ŠVANČARA Faculty of Electrical Engineering and Information Technology Slovak University of Technology in Bratislava Ilkovicova
More informationOPTIMIZED RELIABILITY THANKS TO INTEGRATED LOGISTICS IN THE PHARMACEUTICAL INDUSTRY
OPTIMIZED RELIABILITY THANKS TO INTEGRATED LOGISTICS IN THE PHARMACEUTICAL INDUSTRY 2 PHARMA DEDICATED SOLUTION DESIGNS FOR THE PHARMACEUTICAL INDUSTRY Meeting all regulatory requirements using validated
More informationMSD Supply Chain Programme Strategy Workshop
MSD Supply Chain Programme Strategy Workshop Day 2 APPENDIX Accenture Development Partnerships Benchmarking MSD s Current Operating Supply Chain Capability 1.0 Planning 2.0 Procurement 3.0 Delivery 4.0
More informationModel-based Synthesis. Tony O Hagan
Model-based Synthesis Tony O Hagan Stochastic models Synthesising evidence through a statistical model 2 Evidence Synthesis (Session 3), Helsinki, 28/10/11 Graphical modelling The kinds of models that
More informationIntroduction to OpStat
Introduction to LEAN SIMULATION MODELS 2/1/2008 1 Contents 1. Overview of Models 2. Highlights of the Lean Manufacturing Model 3. Background on Enclosures Documentation & Setup Guides for each Model 2/1/2008
More informationBasic Queuing Relationships
Queueing Theory Basic Queuing Relationships Resident items Waiting items Residence time Single server Utilisation System Utilisation Little s formulae are the most important equation in queuing theory
More informationIntroduction to Strategic Supply Chain Network Design Perspectives and Methodologies to Tackle the Most Challenging Supply Chain Network Dilemmas
Introduction to Strategic Supply Chain Network Design Perspectives and Methodologies to Tackle the Most Challenging Supply Chain Network Dilemmas D E L I V E R I N G S U P P L Y C H A I N E X C E L L E
More informationHow To Manage A Call Center
THE ROLE OF SIMULATION IN CALL CENTER MANAGEMENT Roger Klungle AAA Michigan Introduction With recent advances in technology and the changing nature of business, call center management has become a rapidly
More informationBusiness Intelligence Meets Business Process Management. Powerful technologies can work in tandem to drive successful operations
Business Intelligence Meets Business Process Management Powerful technologies can work in tandem to drive successful operations Content The Corporate Challenge.3 Separation Inhibits Decision-Making..3
More informationAutomated Receiving. Saving Money at the Dock Door. Page 8
Automated Receiving Saving Money at the Dock Door Page 8 Today s warehouse management and automated sortation systems are far easier to integrate than in the past. As a result, distribution centers are
More informationAdvanced Planning and Scheduling
Taylor Scheduler Welcome! Taylor Scheduler is our advanced planning and production scheduling software. Its many features allow Taylor Scheduler to be able to handle just about any manufacturing scheduling
More informationMetRo Warehouse Management System. Maximize. your. logistic. performance. MetRo WMS means intelligence
MetRo Warehouse Management System Maximize your performance logistic MetRo WMS means intelligence MetRo WMS Rocla MetRo is a software package for warehouse management. Warehouse Management System, WMS,
More informationProcess Simulation and Modeling for Industrial Bioprocessing:
Process Simulation and Modeling for Industrial Bioprocessing: Tools and Techniques Ian Gosling PhD ChemSim LLC www.chemsim.com Maximizing profits by operating the most efficient process is the primary
More information- 1 - intelligence. showing the layout, and products moving around on the screen during simulation
- 1 - LIST OF SYMBOLS, TERMS AND EXPRESSIONS This list of symbols, terms and expressions gives an explanation or definition of how they are used in this thesis. Most of them are defined in the references
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 informationINTEGRATED OPTIMIZATION OF SAFETY STOCK
INTEGRATED OPTIMIZATION OF SAFETY STOCK AND TRANSPORTATION CAPACITY Horst Tempelmeier Department of Production Management University of Cologne Albertus-Magnus-Platz D-50932 Koeln, Germany http://www.spw.uni-koeln.de/
More informationHuman Performance Technology
Human Performance Technology Donald Tosti Every organization is a human performance system: It was founded by people. It s run by people, and It s established to provide value to the people who are its
More informationBackward Scheduling An effective way of scheduling Warehouse activities
Backward Scheduling An effective way of scheduling Warehouse activities Traditionally, scheduling algorithms were used in capital intensive production processes where there was a need to optimize the production
More informationEnterprise Application Performance Management: An End-to-End Perspective
SETLabs Briefings VOL 4 NO 2 Oct - Dec 2006 Enterprise Application Performance Management: An End-to-End Perspective By Vishy Narayan With rapidly evolving technology, continued improvements in performance
More informationThe Ten Principles of Material Handling
PLANNING PRINCIPLE The Ten Principles of Material Handling All material handling should be the result of a deliberate plan where the needs, performance objectives and functional specification of the proposed
More informationA Design Framework for Flexible Automated Warehouses
A Design Framework for Flexible Automated Warehouses Marín L.F. 1, Carrasco-Gallego R 2 Abstract Reducing operational costs in e-commerce logistics by having few distribution warehouses is a competitive
More informationComputer Integrated Manufacturing CIM A T I L I M U N I V E R S I T Y
MFGE 404 Computer Integrated Manufacturing CIM A T I L I M U N I V E R S I T Y Manufacturing Engineering Department Lecture 1 - Introduction Dr. Saleh AMAITIK Fall 2005/2006 Production Systems Production
More informationAppendix O MANUFACTURING YOUTH APPRENTICESHIP PRODUCTION OPERATIONS MANAGEMENT PATHWAY PRODUCTION OPERATIONS MANAGEMENT (UNIT 8)
Appendix O MANUFACTURING YOUTH APPRENTICESHIP PRODUCTION OPERATIONS MANAGEMENT PATHWAY PRODUCTION OPERATIONS MANAGEMENT (UNIT 8) Pathway: (Unit 8) PAGE 1 OF 17 Unit 8: Pathway 1. Assist to purchase materials
More informationSimulation Why? Textmasterformate durch Klicken bearbeiten The planning of a biopharmaceutical facility requires the
Simulation Projects The planning of a biopharmaceutical facility requires the Simulation Why? consideration of various interdependent factors. A process simulation can help to optimise an existing process
More informationInfor Planning Tools. From Demand to Execution. Hans Smet Senior Account Executive hans.smet@infor.com
Infor Planning Tools From Demand to Execution Per Osmar Solution Consultant per.osmar@infor.com Hans Smet Senior Account Executive hans.smet@infor.com 1 Overview M3 Planning Tools Demand Planner Accurate
More informationThe fact is that 90% of business strategies are not implemented through operations as intended. Overview
Overview It is important to recognize that a company s network determines its supply chain efficiency and customer satisfaction. Designing an optimal supply chain network means the network must be able
More informationOperations Management OPM-301-TE
Operations Management OPM-301-TE This TECEP focuses on the process of transforming inputs through a value-added process to produce goods and services. Topics covered include value chains, performance measurement,
More informationSALES AND OPERATIONS PLANNING BLUEPRINT BUSINESS VALUE GUIDE
Business Value Guide SALES AND OPERATIONS PLANNING BLUEPRINT BUSINESS VALUE GUIDE INTRODUCTION What if it were possible to tightly link sales, marketing, supply chain, manufacturing and finance, so that
More informationThe New Era of Customer Service Management. Edmund W. Schuster Massachusetts Institute of Technology
The New Era of Customer Service Management Edmund W. Schuster Massachusetts Institute of Technology The Value of Customer Service Flextronics Solectron Celestica Performance Measures Transportation cost
More informationHISTORY AND INTRODUCTION
HISTORY AND INTRODUCTION I 1 Introduction The APICS dictionary defines the term supply chain as either the processes from the initial raw materials to the ultimate consumption of the finished product linking
More informationTEACHING SIMULATION WITH SPREADSHEETS
TEACHING SIMULATION WITH SPREADSHEETS Jelena Pecherska and Yuri Merkuryev Deptartment of Modelling and Simulation Riga Technical University 1, Kalku Street, LV-1658 Riga, Latvia E-mail: merkur@itl.rtu.lv,
More informationContent. Chapter 1 Supply Chain Management An Overview 3. Chapter 2 Supply Chain Integration 17. Chapter 3 Demand Forecasting in a Supply Chain 28
Content Part I: Principles of Supply Chain Management Chapter 1 Supply Chain Management An Overview 3 Part II: Supply Chain Planning & Design Chapter 2 Supply Chain Integration 17 Chapter 3 Demand Forecasting
More informationOutline PRODUCTION/OPERATIONS MANAGEMENT P/OM. Production and Operations. Production Manager s Job. Objective of P/OM
PRODUCTION/OPERATIONS MANAGEMENT Richard S. Barr Outline Production and Operations Systems Approach to P/OM Modeling Production Systems Course Topics 1 2 P/OM Production and Operations Production management
More informationMWPVL. Leadership in Supply Chain and Logistics Consulting. Options to Improve Productivity at a Parts Distribution Center
Leadership in Supply Chain and Logistics Consulting Options to Improve Productivity at a Parts Distribution Center Marc Wulfraat President (514) 482-3572 x 100 Marc.wulfraat@.com All Rights Reserved to
More informationORACLE RAPID PLANNING
ORACLE RAPID PLANNING KEY FEATURES Fast event-driven material and capacity planning Fast incremental simulation of plan and source data edits Embedded analytics for scenario comparison, order comparison,
More informationProduction Management for the Pulp and Paper Industry. Industrial IT Tools for Production Data Management
Production Management for the Pulp and Paper Industry Industrial IT Tools for Production Data Management Towards Optimum Mill Performance with Managing the production process Industrial IT Production Management
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 informationBetter decision making under uncertain conditions using Monte Carlo Simulation
IBM Software Business Analytics IBM SPSS Statistics Better decision making under uncertain conditions using Monte Carlo Simulation Monte Carlo simulation and risk analysis techniques in IBM SPSS Statistics
More informationChapter 11. MRP and JIT
Chapter 11 MRP and JIT (Material Resources Planning and Just In Time) 11.1. MRP Even if MRP can be applied among several production environments, it has been chosen here as a preferential tool for the
More informationThe Battle for the Right Features or: How to Improve Product Release Decisions? 1
The Battle for the Right Features or: How to Improve Product Release Decisions? 1 Guenther Ruhe Expert Decisions Inc. ruhe@expertdecisions.com Abstract: A release is a major (new or upgraded) version of
More informationDISCRETE EVENT SIMULATION IN THE DESIGN, LAYOUT AND SCHEDULING OF PIPELESS BATCH PLANTS
DISCRETE EVENT SIMULATION IN THE DESIGN, LAYOUT AND SCHEDULING OF PIPELESS BATCH PLANTS F. Mushtaq and P.W.H. Chung Department of Chemical Engineering, Loughborough University, Loughborough, Leicestershire,
More information1 INTRODUCTION TO SYSTEM ANALYSIS AND DESIGN
1 INTRODUCTION TO SYSTEM ANALYSIS AND DESIGN 1.1 INTRODUCTION Systems are created to solve problems. One can think of the systems approach as an organized way of dealing with a problem. In this dynamic
More informationQlikView for manufacturing industries
QlikView for manufacturing industries Boost profitability, customer satisfaction and loyalty, and reduce risk. qlik.com With QlikView s ability to enable IT groups to rapidly deploy applications, we are
More informationIntroduction. Chapter 1
Chapter 1 Introduction The area of fault detection and diagnosis is one of the most important aspects in process engineering. This area has received considerable attention from industry and academia because
More informationThe Training Material on Logistics Planning and Analysis has been produced under Project Sustainable Human Resource Development in Logistic Services
The Training Material on Logistics Planning and Analysis has been produced under Project Sustainable Human Resource Development in Logistic Services for ASEAN Member States with the support from Japan-ASEAN
More informationDevelopment of a decision support tool for supply network planning: A case study from the chemical industry
The 7th International Symposium on Operations Research and Its Applications (ISORA 08) Lijiang, China, October 31 Novemver 3, 2008 Copyright 2008 ORSC & APORC, pp. 18 24 Development of a decision support
More informationSpreadsheet simulation for industrial application: a case study
Spreadsheet simulation for industrial application: a case study Wan Hasrulnizzam Wan Mahmood a,b,1 a Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Locked Bag 1752, Durian Tunggal
More informationContents. Before you begin. Introduction: Organise dispatch operations 1. Element 1: Planning and organising dispatch operations 3
Contents Contents Before you begin v Introduction: Organise dispatch operations 1 Element 1: Planning and organising dispatch operations 3 Section 1.1: Analysing stock 4 Section 1.2: Identifying resources
More informationSAP Supply Chain Solutions. Which SAP Warehouse Management Application is Right for You?
Which SAP Warehouse Management Application is Right for You? Executive Summary The supply chain is getting faster, more dynamic, and ultimately more challenging every day. The next level of performance
More informationCROSS INDUSTRY PegaRULES Process Commander. Bringing Insight and Streamlining Change with the PegaRULES Process Simulator
CROSS INDUSTRY PegaRULES Process Commander Bringing Insight and Streamlining Change with the PegaRULES Process Simulator Executive Summary All enterprises aim to increase revenues and drive down costs.
More informationWebSphere Business Modeler
Discovering the Value of SOA WebSphere Process Integration WebSphere Business Modeler Workshop SOA on your terms and our expertise Soudabeh Javadi Consulting Technical Sales Support WebSphere Process Integration
More informationGE Intelligent Platforms. solutions for dairy manufacturing
GE Intelligent Platforms solutions for dairy manufacturing Optimize your dairy operations Combining extensive knowledge of the dairy industry and processes with the latest innovative technologies, we have
More information1: B asic S imu lati on Modeling
Network Simulation Chapter 1: Basic Simulation Modeling Prof. Dr. Jürgen Jasperneite 1 Contents The Nature of Simulation Systems, Models and Simulation Discrete Event Simulation Simulation of a Single-Server
More informationFree Examples of plant layout drawing
Free layout examples; a wide variety of industrial layouts, within different facility types. Principles of plant layout and design will apply widely. Free Examples of plant layout drawing Principles of
More informationLambda Tuning the Universal Method for PID Controllers in Process Control
Lambda Tuning the Universal Method for PID Controllers in Process Control Lambda tuning gives non-oscillatory response with the response time (Lambda) required by the plant. Seven industrial examples show
More informationReliability Modeling Software Defined
Reliability Modeling Software Defined Using Titan Reliability Modeling Software May 30, 2014 Prepared by: The Fidelis Group 122 West Way, Suite 300 Lake Jackson, TX 77566 Fidelis Group, LLC All Rights
More informationWaiting Times Chapter 7
Waiting Times Chapter 7 1 Learning Objectives Interarrival and Service Times and their variability Obtaining the average time spent in the queue Pooling of server capacities Priority rules Where are the
More informationWhite Paper Operations Research Applications to Support Performance Improvement in Healthcare
White Paper Operations Research Applications to Support Performance Improvement in Healthcare Date: April, 2011 Provided by: Concurrent Technologies Corporation (CTC) 100 CTC Drive Johnstown, PA 15904-1935
More informationSimulation - A powerful technique to improve Quality and Productivity
Simulation is an important and useful technique that can help users understand and model real life systems. Once built, the models can be run to give realistic results. This provides a valuable support
More informationTraceability Implementation Material. Simple Steps for Traceability
Traceability Material Simple Steps for Traceability Get Knowledge Analyse current conditions Diagnostic Set up the work structure and Scope Analyse needs and conditions Design Technical solutions For each
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 informationWhite Paper. Trust Hi-Speed to show you the way. A Guide to Pharmaceutical Serialization Choosing the Right Equipment Supplier
White Paper Trust Hi-Speed to show you the way Choosing the Right Equipment Supplier Contents 1. Introduction 2. The Basics of Serialization 3. Minimum Serialization Implementation Requirements 4. Complexity
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 informationDynamic Simulation and Supply Chain Management
Dynamic Simulation and Supply Chain Management White Paper Abstract This paper briefly discusses how dynamic computer simulation can be applied within the field of supply chain management to diagnose problems
More informationone Introduction chapter OVERVIEW CHAPTER
one Introduction CHAPTER chapter OVERVIEW 1.1 Introduction to Decision Support Systems 1.2 Defining a Decision Support System 1.3 Decision Support Systems Applications 1.4 Textbook Overview 1.5 Summary
More informationALWAYS ON THE RIGHT PATH. Optimized planning and dispatch with SyncroTESS
ALWAYS ON THE RIGHT PATH Optimized planning and dispatch with SyncroTESS FAST REACTION PROACTIVE SUPPORT Always on top of the business: Every 30 to 120 seconds SyncroTESS produces an up-to-date schedule
More informationRealizing the Benefits of Finite Capacity Scheduling to Manage Batch Production Systems
Presented at the WBF North American Conference Baltimore, MD, USA 30 April - 4 May 2007 67 Alexander Drive PO Box 12277 Research Triangle Park, NC 27709 +1.919.314.3970 Fax: +1.919.314.3971 E-mail: info@wbf.org
More informationUsing Predictions to Power the Business. Wayne Eckerson Director of Research and Services, TDWI February 18, 2009
Using Predictions to Power the Business Wayne Eckerson Director of Research and Services, TDWI February 18, 2009 Sponsor 2 Speakers Wayne Eckerson Director, TDWI Research Caryn A. Bloom Data Mining Specialist,
More informationSPED Piping Certification Guide (Revised: 12/05)
SPED Piping Certification Guide (Revised: 12/05) Overview A Professional Piping Designer (PPD) will obtain certification from SPED if he / she can demonstrate the required skills defined in this document.
More informationRelease: 1. MEM234013A Plan and design engineering-related manufacturing processes
Release: 1 MEM234013A Plan and design engineering-related manufacturing processes MEM234013A Plan and design engineering-related manufacturing processes Modification History New unit Unit Descriptor This
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 informationSupply Chain Simulation: Why Its Time Has Come
Supply Chain Simulation: Why Its Time Has Come Predicting Supply Chain Performance Today and into the Future Introduction What if you could predict how your supply chain would perform under any circumstance?
More informationAS-D2 THE ROLE OF SIMULATION IN CALL CENTER MANAGEMENT. Dr. Roger Klungle Manager, Business Operations Analysis
AS-D2 THE ROLE OF SIMULATION IN CALL CENTER MANAGEMENT Dr. Roger Klungle Manager, Business Operations Analysis AAA Michigan 1 Auto Club Drive Dearborn, MI 48126 U.S.A. Phone: (313) 336-9946 Fax: (313)
More informationMonte Carlo Simulations for Patient Recruitment: A Better Way to Forecast Enrollment
Monte Carlo Simulations for Patient Recruitment: A Better Way to Forecast Enrollment Introduction The clinical phases of drug development represent the eagerly awaited period where, after several years
More informationAnswers to Review Questions
Tutorial 2 The Database Design Life Cycle Reference: MONASH UNIVERSITY AUSTRALIA Faculty of Information Technology FIT1004 Database Rob, P. & Coronel, C. Database Systems: Design, Implementation & Management,
More informationThe Evolution of Goods-to-Person Order Fulfillment
The Evolution of Goods-to-Person Order Fulfillment How to Meet Distribution Operations Challenges in the Age of E-Commerce By Thompson Brockmann February 2014 Principal, Tompkins International Introduction
More informationWhite Paper. Data to Dollars: Leveraging data to generate optimal distribution center design solutions.
White Paper Data to Dollars: Leveraging data to generate optimal distribution center design solutions. Introduction 2 Many companies logistics and distribution operations have rapidly evolved due to factors
More informationApplication of Simulation Models in Operations A Success Story
Application of Simulation Models in Operations A Success Story David Schumann and Gregory Davis, Valero Energy Company, and Piyush Shah, Aspen Technology, Inc. Abstract Process simulation models can offer
More informationAPPLICATION OF SIMULATION IN INVENTORY MANAGEMENT OF EOL PRODUCTS IN A DISASSEMBLY LINE
APPLICATION OF SIMULATION IN INVENTORY MANAGEMENT OF EOL PRODUCTS IN A DISASSEMBLY LINE Badr O. Johar, Northeastern University, (617) 3737635, johar.b@husky.neu.edu Surendra M. Gupta, Northeastern University,
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 informationInternet of Things impact on the Intralogistics of tomorrow
Internet of Things impact on the Intralogistics of tomorrow International Conference on CeMAT 2008 Hanover, 30th May, 2008 Dr. Thorsten Schmidt Panel Jan van der Velden, Vanderlande Industries, Netherlands
More information