KNOWLEDGE MANAGEMENT AND ITS APPLICATION TO LEAN CONSTRUCTION
|
|
|
- Milo Patrick
- 10 years ago
- Views:
Transcription
1 KNOWLEDGE MANAGEMENT AND ITS APPLICATION TO LEAN CONSTRUCTION Yu-Cheng Lin 1 and H. Ping Tserng 2 ABSTRACT Knowledge Management (KM) has become one of the most significant terms in the IT industry. Knowledge management deals with creating, securing, capturing, coordinating, combining, retrieving, and distributing knowledge. Knowledge sharing between different projects is viewed as an essential source to gain the competitive advantage in the future. Lean construction comes from acknowledging the limitations of current project management and applying lean production to the construction industry. This paper presents an example of implementing of construction knowledge management to construction projects, exploring the relationship between knowledge management and lean construction. It shows that project control could encompass the cost and time consuming by adopting knowledge management concepts and tools in lean construction. The application of knowledge management to implement the lean construction in the construction phase is discussed in this paper through the presentation of a construction project-based knowledge management concept and system for general contractors. The results of real case approve that knowledge management is a useful tool for the application of lean construction in project life cycle by utilizing the latest web technology for knowledge management systems. KEY WORDS Lean Construction, Knowledge Management, Project Management Ph.D. Candidate, Construction Engineering & Management Program, Department of Civil Engineering, National Taiwan University, Taipei, Taiwan, [email protected] Associate Professor, Construction Engineering & Management Program, Department of Civil Engineering, National Taiwan University, Taipei, Taiwan, [email protected] 1
2 LEAN PRODUCTION Lean has been described as doing more with less. Lean Production strives towards zero inventory and just-in-time logistics (Womack et al. 1990). The origins of Lean Production can be traced to the Toyota Production System (Alarcon 1997), with its focus on the reduction and elimination of waste (Ohno 1988). Fundamental principles of Lean Production include (e.g. Koskela 1992): Identify and deliver value to the customer by eliminating activities that do not add value. Organize production as a continuous flow. Perfecting the product and create reliable flow through stopping the line, pulling inventory, and distributing information and decision making. Pursue perfection by delivering an order of a product which meets customer requirements with nothing in inventory. Lean demand high levels of product quality. It also require minimum total lead-times defined as the time taken from a customer raising a request for a product or service until it is delivered. Total lead-time has to be minimized to enable agility, as demand is highly volatile and thus difficult to forecast. If a supply chain has long end-to-end lead-time then it will not be able to respond quickly enough to exploit marketplace demand. Furthermore effective engineering of cycle time deduction always leads to significant bottom line improvements in manufacturing costs and productivity (Howell 1999). LEAN CONSTRUCTION Lean construction is a new way to manage work over the life of a project. It is not a productivity improvement program. Lean construction is a production management-based approach to project delivery; it is a new way to design and build capital facilities. The application of lean production management to manufacturing caused a revolution. Applied to project settings, particularly to construction projects, the concept of lean can have a similar impact. Introduction to Lean Construction links the objectives of the production system maximize value and minimize waste to specific techniques, and applies those techniques to form a project-based production system. Lean Construction is particularly useful on complex, uncertain, and quick projects. It challenges the belief that there must always be a tradeoff between time, cost, and quality. When projects are managed with Lean Construction (see Figure1): The facility and its delivery process are designed together to better reveal and support customer purposes. Positive iteration within the process is supported and the negative iteration reduced. Work is structured throughout the process to maximize value and to reduce waste at the project delivery level.
3 Efforts to manage and improve performance are aimed at improving total project performance because improvement is more important than reducing the cost or increasing the speed of any activity. Control is redefined from monitoring results to making things happen. Performance of planning and control systems is measured and improved. Coordination is improved because the release of work from one specialist in design, supply, and assembly to the next is more reliable. Reduce waste Reduce mistake Increase output flexibility Increase output Increase process transparency Reduce variability The principles for improvement in lean Construction Focus control on the complete process Reduce cycle times Build continuous improvement into the process Simplify by Minimizing the number of step Benchmark Balance flow improvement with conversion improvement Figure 1: The principles for improvement in lean production (adapted from Alarcon 1997) GOAL AND STRUCTURE The goal of this paper is to present a concept and system of applying knowledge management in lean construction and describe an example of applying knowledge management in the construction phase, exploring the relationship between knowledge management and lean construction. It includes a review and evaluation of prior applications of knowledge management in lean construction. Then it approves the improvement in lean construction with knowledge management applying in the construction phase, illustrated with web-based knowledge management system and concluded with the relationship between knowledge management and lean construction. APPLICATION OF KNOWLEDGE MANAGEMENT IN CONSTRUCTION Knowledge is the true asset of a marketing-oriented organization, and its integration across departments and disciplines should be emphasized (Carneiro 2001). Many organizations are now engaged in Knowledge Management (KM) efforts in order to leverage knowledge both within their organization and externally to their shareholders and customers (Malhotra 2000, 2001). These assets, the knowledge, can be classified as either tacit or explicit. Explicit knowledge is that which has been codified and expressed in formal language; it can be 3
4 represented, stored, shared and effectively applied (Nonaka and Takeuchi 1995). Tacit knowledge is knowledge that is difficult to express, represent, and communicate (Nonaka and Takeuchi 1995). The distinction of these two types of knowledge is relevant because each must be managed differently. Knowledge management in the construction phase mainly deals with the process of creating value from construction operation and organization to company knowledge. Valuable knowledge is available in different forms and media, the brilliant ideas of experts, in operation procedures, and in documents, databases, intranets, etc.; however, knowledge management in the construction phase of projects aims at effectively and systematically collecting and sharing the experience and knowledge of the project using web-based and intranet technologies. The reuse of information and knowledge minimizes the learning processes from past projects, reduces the time and cost of problem-solving, improves the solution quality during the construction phase of a construction project. By sharing experience and knowledge, the same problems in the construction phase do not need to be solved over and over again. Reduced problem-solving leads to the following benefits: (1) the cost of problem solving is reduced; and (2) the probability of repeat problems is decreased. To enable the ultimate goal of efficient experience and knowledge reuse, several enabling activities should be considered; the experience and knowledge should be preserved and managed, i.e., they could be captured, modeled, stored, retrieved, adapted, evaluated, and maintained (Bergmann 2002). The latest communications and information technologies are available to be used to improve collaboration, coordination, and information exchange among organizations and projects that work on construction projects (Soilbelman and Kim 2002). They can be described as a set of information exchange platforms that collect, retrieve, process, store, and distribute data to support planning, control, management, and decision-making among project organizations (Dzeng and Tommelein 1997). Knowledge reuse and update improves the performance of future activities and projects. Most of the data and information for construction projects are stored in paper-based documents; these consist of contracts, specifications, notes, discussions, and field reports. In order to facilitate information management and enable knowledge reuse, it is important to convert paper documents into electronic versions to be shared and applied in other and future projects. Information and knowledge of a project can then be identified as project components during project management and preserved in a web-based system that provides the platform for the exchange and storage of information and knowledge. The relationship between knowledge management in construction and lean construction is shown in figure 2. From the view of construction project life cycle, tacit knowledge and explicit knowledge can be created based on knowledge and experience generated from the project. Especially true of explicit knowledge, it can be reused for other current and future projects to avoid repeating the same or similar mistakes. Also, reducing cycle time, reducing waste, and increasing output in the project are the main advantages with the application of knowledge management in lean construction. Also, the practice in the lean construction should apply the knowledge management in the whole construction life cycle because knowledge management can help engineers reduce waste, reduce cycle times, increase output, and make innovation based the past experience and know-how. With the application of knowledge management, the storage and management of project-oriented tacit and explicit
5 knowledge can reuse for others or future projects. Therefore, the advantage of knowledge management may meet the objective of lean construction. Furthermore, knowledge management is one of important and necessary tool for lean construction. Construction Project Life Cycle Conceptual Planning Design Construction Operation Maintenance Company Asset TACIT KNOWLEDGE EXPLICIT INFORMATION TK EI Knowledge Management Apply Tool Save as Lean Construction Company Asset Result Reduce waste Reduce cycle times Build continuous improvement Increase output Benchmark Figure 2: The relationship between Knowledge Management and Lean Construction. KNOWLEDGE MANAGEMENT IN THE CONSTRUCTION PHASE Construction projects are intricate, time-consuming undertakings. Usually, construction projects are typified by their complexity, diversity, and by the non-standardized nature of their production (Clough 2000). Professional competency in project management is attained by the combination of knowledge acquired during training, and skills developed through experience and the application of the acquired knowledge (Edum-Fotwe and McCaffer 2000). During the construction phase of projects, one of the improvements for construction management is to share experiences amongst engineers, which helps prevent mistakes that past projects have encountered already. Reusing experience also avoids problem-solving from scratch, i.e., already solved problems do not need to be solved over and over again. However, there are no suitable platforms to assist senior engineers or experts with sharing and collecting their know-how and experiences when general contractors execute the project. 5
6 This is a major loss for general contractors who do not preserve the know-how and experiences of senior engineers and experts. When these engineers and experts finish the projects or leave the company, they usually take the domain knowledge with them and leave little or nothing for the projects or the company. In the view of knowledge management, these know-how and experiences of construction engineers and experts are the most valuable because they not only need man power; they also require major cost and time to be accumulated. In construction projects, knowledge management is a discipline that promotes an integrated approach to the creation, capture, access, and use of a profession s domain knowledge on products, services and processes. During the construction phase of a project, most project-related problems, solution, experience, and know-how are in the heads of individual engineers and experts. Implicit knowledge usually is not documented or stored in a system database. To reuse the knowledge in other projects and also preserve it as corporation property, to capture the implicit knowledge and make it become available as explicit knowledge is important in the execution of knowledge management in the construction phase. Experience, problem solving, know-how, know-what, and innovation are created in the construction phase of all projects. By practicing knowledge management, tacit knowledge can be reused for other projects and speed the improvement of operations in the construction phase. CONSTRUCTION KNOWLEDGE MANAGEMENT LIFE CYCLE There are five phases in the construction knowledge management life cycle as shown in Figure 3. These include knowledge acquisition, knowledge extraction, knowledge storage, knowledge sharing, and knowledge update. Table 1 is the description for each phase in the construction knowledge management life cycle. Table1 summarizes the survey from the officials of Taiwan Area National Expressway Engineering Bureau. Knowledge Acquisition Knowledge Extraction Construction Knowledge Management Life Cycle Knowledge Storage Information Knowledge Sharing Data Knowledge Update Figure 3: Five phases of construction knowledge management life cycle. PROJECT-ORIENTED KNOWLEDGE MANAGEMENT Similar to what is found in project management, knowledge management is based on the concept of activity in project planning and control. In order to explain the application of knowledge management used in construction projects, Figure 4 shows the overview and
7 conceptual framework of project-oriented knowledge management used in construction projects. The knowledge and information of activities in past projects may be reused and applied in other and future projects. To collect and manage the domain knowledge of all projects, the information and knowledge are divided and saved as activity units under the projects categories. The main benefit of project-oriented knowledge management is ease-ofunderstanding and reuse of the information and knowledge. Table 1: The descriptions of construction knowledge management life cycle. KM Phase KM Acquisition KM Extraction Key Activites The knowledge to be shared must be acquired. In view of the construction phase, most information and knowledge mainly come from the job site. Therefore, knowledge collection on a job site plays an important role in the first phase. In the main office, the content of knowledge collection is the same as those in the other industries. During knowledge acquisition, most work is done in the main office because all the information or tacit knowledge sent back from the job site can be transferred to explicit knowledge. Some knowledge that must be extracted for reuse and storage may be only in the heads of experts and engineers. It typically arises in the context of certain problem-solving situations. Mechanisms are required to collect such new experiences when they become available. KM Storage KM Sharing KM Update The collected knowledge could be stored for future reuse. During knowledge storage, all information and knowledge are centralized and stored in the knowledge bank (central database) to avoid redundant knowledge. In order to store all information and knowledge in the system, the data must be electronic and be in a standard format for each type of file such as a specific document format or vector drawing format. Knowledge sharing is the ultimate goal of knowledge management. After the development of knowledge management, only people who need related-knowledge concerning of the select projects can access and select appropriate knowledge for reuse. If necessary, they can adapt knowledge to a new project and solve the new problem by reusing the knowledge. Available knowledge and experience should be updated continuously. During problem solving, reused experience can be evaluated in the context of the new problem to be solved. The evaluation can be in terms of the appropriateness of the selected experience, or in terms of the accuracy and actuality of the retrieved experience. Such evaluation is important to continuously improve the process of experience reuse. Invalid knowledge must be identified and be removed or updated. Knowledge update can be triggered by a negative experience evaluation or can be performed precautionary. When knowledge is saved in project units, the knowledge includes both tacit and explicit knowledge. In terms of explicit knowledge, activity-related information or knowledge usually include specification/contracts, reports, drawings, change orders, and data. Actually, each activity does not contain one-to-one information or knowledge because some are project-based type of information. In contrast, tacit knowledge may include process records, problems-faced, problems-solved, expert suggestions, know-how, innovation, and experience notes. The information and knowledge is better saved as activity units because the result makes it easier to be classified and searched by users. In addition, users may search and refer to related information and knowledge from related activities in past projects. The tacit and explicit knowledge of activity-unit knowledge management is the same as the duration and relationship of activity-unit project management. 7
8 Figure 4 shows the overview of items and past related activities based on activity-unit knowledge management. The relationship of current and past activities is important for users to link related information and knowledge together. According to Figure 4, not only can the information and knowledge of the current project be applied, but also same or similar activities of past projects can be referred to as experiences are recorded. When experts or engineers enter related information and knowledge into the system, they need to add the relationships for the activities in the project. Of course, the system is designed to link the relationship between same or similar activities automatically or manually. PROJECT-ORIENTED EXPLICIT KNOWLEDGE PROJECT ACTIVITY Specification/Contacts Reports Drawings Chang orders Data RECORD REFER NONPROJECT NONACTIVITY RECORD REFER TACIT KNOWLEDGE RECORD REFER Process Records Problems-Faced Problem-Solutions Expert Suggestions Innovation Know-how&what Figure 4: Project-Oriented Knowledge Management Concept framework. Figure 4 shows the overview of information and knowledge which are not divided into activity units. The reason is that some of the information and knowledge belong to the whole project without clear classification of activity units. To let users access the information by the web-based portal, the basic electronic information concerning the project (i.e. specifications, contracts, reports, and drawings) may be saved as explicit knowledge. In terms of tacit knowledge, advanced electronic information and knowledge for the project (i.e. meeting records and e-courses) are saved in the system. The information and knowledge will be saved under the catalog of current projects. The benefit of non-active classification is the collection of related electronic information in the centralized system. In order to enrich the knowledge bank for construction enterprises, explicit knowledge and tacit knowledge need to be transferred separately into the knowledge bank. The method of transfer includes two source types: the main office (or job office) and the construction site. On the construction sites, the main task for construction knowledge management is knowledge collection, which includes the recording of photos and videos of the construction process, making digital data collection, and noting the problem solution. The information is explicit knowledge hence does not require additional conversion. Also, the information must be collected in real-time on the construction site. The main tasks at the main office are knowledge acquisition and knowledge storage. The tasks at both the main office and
9 construction site must be completed to lead to the success of knowledge management in construction projects. The main purpose of a knowledge bank is to provide a richer source of content concerning all the projects to gather project-related explicit information and tacit knowledge for involved engineers and experts. In order to enrich the knowledge bank in the system, the system is designed to encourage all engineers and experts to submit their domain knowledge and valuable experience to the knowledge bank. In general, companies include mostly numeric, structured data in their data warehouse. From this point of view, decision support systems are divided into two camps: data warehouses deal with structured data; knowledge management involves unstructured data (Ponniah 2002). It is necessary to integrate both structured (such as data and text) and unstructured information (such as image, video, audio, image, and drawing) in the knowledge bank for further decision-making and reference. The main purpose of this paper presents a Construction Project-Oriented Knowledge Management (ConPOKM) system for general contractors as a knowledge-sharing platform. Construction Project-Oriented Knowledge Management maps the valued information and knowledge into project units for a project during the construction phase. The development of a prototype ConPOKM system employing the integration of web technology with a portal is delineated in a case study of the Taiwan Highway Project. The ConPOKM system is advanced at least in the following aspects: it enables gathering insights into the factors having impact on construction management activities, which in turn helps engineers share knowledge to access and improve operation performance. Junior engineers can interact with the computer so that they can understand the domain knowledge to prepare and participate in a construction project. In short, the ConPOKM system is able to assist engineers by providing accurate and rich information for knowledge reuse and reference. The integration of knowledge management and web-based technologies appear to be a promising way to improve construction operation management during the construction phase of a project. CONCLUSION The application of lean construction using knowledge management in the construction phase is discussed in this paper. Construction knowledge management is the collection of processes that govern the creation, dissemination, and utilization of tacit and explicit knowledge for construction projects. In order to make the lean Construction more effective, this paper describes the relationship between knowledge management and lean construction. Furthermore, the web-based knowledge management system, called Construction Project- Oriented Knowledge Management (CPOKM) system is presented to explain how the application of construction knowledge management can improve the efficiency in lean construction implementation. The result shows that construction projects control can encompass the cost and time saved by adopting knowledge management concepts and tools. 9
10 Content Knowledge Sharing Record Record Photo Knowledge Storage Video Content Data Document Web Record Portal Knowledge Bank Engine Senior Engineers Knowledge workers Junior Engineers CKO Experts Audit Explicit Knowledge Tacit Knowledge Knowledge Reuse Knowledge Acquisition Extraction Update Figure 5: Overview of the ConPOKM System The collection of explicit and tacit knowledge concerned about construction projects allow engineers and experts to reuse most project-related knowledge/information during the construction phase. The contents of the knowledge bank not only provide the specific problem-solutions, but also support all areas of domain knowledge and experiences from the
11 projects. Although efforts are required to update the explicit/tacit knowledge for various types of projects, the developed system will benefit lean construction by (1) providing an effective and efficient computerized environment to assist knowledge management tasks, and (2) facilitating the implementation of a web-based knowledge management system pertinent to these activities in the projects. With the evaluation of the case study of the Taiwan Second Highway project by experts and engineers, the suggestions and results show the ConPOKM system is an effective system in knowledge sharing for construction projects. Therefore, it should be considered conscientiously for lean construction implementing to execute the construction projects with knowledge management by utilizing the latest web technology. ACKNOWLEDGEMENTS We would like to express our appreciation to the officials of the Taiwan Area National Expressway Engineering Bureau for assistance in the system design and interviews and to the experts and engineers of the general contractor of the project for providing useful data, valuable information, and helpful comments during the design and development of the system. REFERENCES Alarcon, L.F. (ed.)(1997). Lean Construction. A.A. Balkema, Rotterdam, The Netherlands, 497pp. Bergmann, Ralph (2002), Experience Management: Foundations, Development Methodology, and Internet-Based Applications, Springer, Germany. Carneiro, Alberto (2001), The role of intelligent resources in knowledge management, Journal of knowledge management, 5(4), Clough, Richard H., Sears, Clenn A., and Sears, S, Keoki. (2000). Construction Project Management, 4th ed., Wiley, New York. Edum-Fotwe F.T. and McCaffer, R. (2000). Developing Project Management Competency: Perspectives from the Construction Industry. International Journal of Project Management, 18, Gil, N. (2002), Can Know-how be signaled. Proc., 10th annual conf. of the International Group for Lean Construction, Gramado, Nonaka, I., and Takeuchi, H., (1995). The Knowledge-Creating Company, Oxford University Press. Soilbelman, L. and Kim, Hyunjoo (2002). Data Preparation Process for Construction Knowledge Generation through Knowledge Discovery in Databases. J. Comp. in Civ. Engrg., ASCE, 16 (1), Christopher M. and Towill, D.R. (2000). Supply chain migration from lean and functional to agile and customised. Supply Chain Management: An International Journal, 5 (4), Howell, G.A. (1999). What is lean construction Proceedings 7th Annual Conference International Group for Lean Construction, Berkeley, California, Koskela L. (1992). Application of the new production philosophy to construction. CIFE Technical Report 72, Stanford University. 75 p. 11
12 Koskela, L. (1993). Lean production in construction. Proceedings 1st International Conference on Lean Construction, Espoo. Koskela, L. (2000). An exploration into a theory of production and its application to construction. VTT Publication 408. VTT Building Technology, Espoo. 296 p. Nagel, R. Dove, R. (1991). 21st century manufacturing enterprise strategy. Incocca Institute, Leigh University. Ohno, T. (1998). The Toyota production system: beyond large scale production. Productivity Press, Cambridge. 143 p. Voordijk, H.; Haan, J. de and Joosten, G.J. (2000). Changing governance of supply chains in the building industry. European Journal of Purchasing & Supply Management, 6 (3-4), Womack, J.P.; Jones, D.T. and Roos, D. (1991). The machine that changed the world: the story of lean production. Harper Perennial, New York. 323 p.
CRITICAL SUCCESS FACTORS FOR KNOWLEDGE MANAGEMENT STUDIES IN CONSTRUCTION
CRITICAL SUCCESS FACTORS FOR MANAGEMENT STUDIES IN CONSTRUCTION Yu-Cheng Lin Assistant Professor Department of Civil Engineering National Taipei University of Technology No.1.Chung-Hsiao E. Rd., Sec.3,
E-LEARNING MANAGEMENT SYSTEM
E-LEARNING MANAGEMENT SYSTEM Shu-Hui Jan, Ph.D. Candidate, Department of Civil Engineering, National Taiwan University, No.1, Sec. 4, Roosevelt Road, Taipei, Taiwan E-Mail: [email protected] (Corresponding
A Knowledge Management Framework Using Business Intelligence Solutions
www.ijcsi.org 102 A Knowledge Management Framework Using Business Intelligence Solutions Marwa Gadu 1 and Prof. Dr. Nashaat El-Khameesy 2 1 Computer and Information Systems Department, Sadat Academy For
THE ROLE OF KNOWLEDGE MANAGEMENT SYSTEM IN SCHOOL: PERCEPTION OF APPLICATIONS AND BENEFITS
THE ROLE OF KNOWLEDGE MANAGEMENT SYSTEM IN SCHOOL: PERCEPTION OF APPLICATIONS AND BENEFITS YOHANNES KURNIAWAN Bina Nusantara University, Department of Information Systems, Jakarta 11480, Indonesia E-mail:
Chapter 9 Knowledge Management
Turban, Aronson, and Liang Decision Support Systems and Intelligent Systems, Seventh Edition Chapter 9 Knowledge Management 9-1 Learning Objectives Define knowledge. Learn the characteristics of knowledge
Chapter 13: Knowledge Management In Nutshell. Information Technology For Management Turban, McLean, Wetherbe John Wiley & Sons, Inc.
Chapter 13: Knowledge Management In Nutshell Information Technology For Management Turban, McLean, Wetherbe John Wiley & Sons, Inc. Objectives Define knowledge and describe the different types of knowledge.
Knowledge Management
Knowledge Management Management Information Code: 164292-02 Course: Management Information Period: Autumn 2013 Professor: Sync Sangwon Lee, Ph. D D. of Information & Electronic Commerce 1 00. Contents
The Need for Lean Training
The Need for Lean Training Jim Keyes University of Wisconsin Stout The recent economic downturn and the sustaining of lower economic conditions into the near future have caused manufacturers to reevaluate
WHAT KIND OF PRODUCTION IS CONSTRUCTION?
WHAT KIND OF PRODUCTION IS CONSTRUCTION? Glenn Ballard 1 and Greg Howell 2 ABSTRACT Applicability of lean principles to construction might seem to require that construction s differentiating characteristics
How To Use Data Mining For Knowledge Management In Technology Enhanced Learning
Proceedings of the 6th WSEAS International Conference on Applications of Electrical Engineering, Istanbul, Turkey, May 27-29, 2007 115 Data Mining for Knowledge Management in Technology Enhanced Learning
Operations Research and Knowledge Modeling in Data Mining
Operations Research and Knowledge Modeling in Data Mining Masato KODA Graduate School of Systems and Information Engineering University of Tsukuba, Tsukuba Science City, Japan 305-8573 [email protected]
Envisioning a Future for Public Health Knowledge Management
Envisioning a Future for Public Health Knowledge Management By Cadence Group Public health today faces challenges and opportunities of a degree that it has never seen before. Never before have methods
Knowledge Management System Architecture For Organizational Learning With Collaborative Environment
Proceedings of the Postgraduate Annual Research Seminar 2005 1 Knowledge Management System Architecture For Organizational Learning With Collaborative Environment Rusli Haji Abdullah δ, Shamsul Sahibuddin
The Research of Small and Medium Enterprises Knowledge Management Based on Document Strategy
The Research of Small and Medium Enterprises Knowledge Management Based on Document Strategy YU Lijuan School of Management, Beijing Union University, China, 100101 [email protected] Abstract: According
Miracle Integrating Knowledge Management and Business Intelligence
ALLGEMEINE FORST UND JAGDZEITUNG (ISSN: 0002-5852) Available online www.sauerlander-verlag.com/ Miracle Integrating Knowledge Management and Business Intelligence Nursel van der Haas Technical University
Blended Training Model with Knowledge Management and Action Learning Principles to Develop Training Program Design Competencies
Blended Training Model with Knowledge Management and Action Learning Principles to Develop Training Program Design Competencies Pattama Chandavimol, Onjaree Natakuatoong, and Pornsook Tantrarungroj Abstract
Five 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
IMPLEMENTING LEAN CONSTRUCTION: UNDERSTANDING AND ACTION
IMPLEMENTING LEAN CONSTRUCTION: UNDERSTANDING AND ACTION Greg Howell 1 and Glenn Ballard 2 ABSTRACT Lean thinking is a new way to manage construction. Born in manufacturing, the goals demand a new way
Overview of Knowledge Management in Organizations
Overview of Knowledge Management in Organizations 1 Overview of Knowledge Management in Organizations Yu Huang Graduate Student, Training and Human Resource Development Key words: Knowledge Management,
Business Intelligence and Decision Support Systems
Chapter 12 Business Intelligence and Decision Support Systems Information Technology For Management 7 th Edition Turban & Volonino Based on lecture slides by L. Beaubien, Providence College John Wiley
KEY KNOWLEDGE MANAGEMENT TECHNOLOGIES IN THE INTELLIGENCE ENTERPRISE
KEY KNOWLEDGE MANAGEMENT TECHNOLOGIES IN THE INTELLIGENCE ENTERPRISE RAMONA-MIHAELA MATEI Ph.D. student, Academy of Economic Studies, Bucharest, Romania [email protected] Abstract In this rapidly
c. Capturing and preservation of the knowledge
9 9.1 Importance of Knowledge Management in Government 9.1.1 Earlier e-governance was considered as mere application of ICT tools to the governance processes. But, as has been emphasized in this Report,
A Win Win Approach to Supplier Management in Manufacturing. Emergence of Lean Supplier Management
A Win Win Approach to Supplier Management in Manufacturing Emergence of Lean Supplier Management Eva Cherry 6/1/2006 2006-01-3132 A Win-Win Approach to Supplier Management in Manufacturing Copyright 2006
73. Human Processes in Customer Relationship Management
73. Human Processes in Customer Relationship Management Shari S. C. Shang National Chengchi University, Taiwan [email protected] Chih-Hsiang Chen National Chengchi University, Taiwan [email protected]
Knowledge Management within the Lebanese Real Estate Bubble: An Exploratory Study
Knowledge Management within the Lebanese Real Estate Bubble: An Exploratory Study Dr Leila Halawi Lebanese American University School of Business Dr Raed El Khalil Lebanese American University School of
Document Management Systems in Small and Medium Size Construction Companies in Jordan
Document Management Systems in Small and Medium Size Construction Companies in Jordan Abstract Hesham Ahmad 1, Maha Ayoush 2 and Subhi Bazlamit 3 Document management systems (DMS) are now becoming more
Knowledge Management in Post-Merger Integration 1
Knowledge Management in Post-Merger Integration 1 Chen Jian 2 Jia Jun 3 School of Management Xi an Jiaotong University, P. R. China, 710049 Abstract Nowadays, knowledge has become an important resource
KANBAN IN CONSTRUCTION
KANBAN IN CONSTRUCTION Roberto Arbulu 1, Glenn Ballard 2 and Nigel Harper 3 ABSTRACT Kanban is a lean approach developed in the automotive industry to pull materials and parts through production systems
Enterprise 2.0 Knowledge Management Development Trends
2012 International Conference on Economics, Business Innovation IPEDR vol.38 (2012) (2012) IACSIT Press, Singapore Enterprise 2.0 Knowledge Management Development Trends Dimiter Velev 1 + and Plamena Zlateva
BUSINESS INTELLIGENCE AS SUPPORT TO KNOWLEDGE MANAGEMENT
ISSN 1804-0519 (Print), ISSN 1804-0527 (Online) www.academicpublishingplatforms.com BUSINESS INTELLIGENCE AS SUPPORT TO KNOWLEDGE MANAGEMENT JELICA TRNINIĆ, JOVICA ĐURKOVIĆ, LAZAR RAKOVIĆ Faculty of Economics
THE ROLE OF CULTURE IN KNOWLEDGE MANAGEMENT. Woo-Soon Park Department of Public Administration, Dong-A University, Pusan 602-714 Korea
THE ROLE OF CULTURE IN KNOWLEDGE MANAGEMENT Woo-Soon Park Department of Public Administration, Dong-A University, Pusan 602-714 Korea Keywords: knowledge, knowledge management, knowledge organization,
A PRODUCTION PLANNING SUPPORT SYSTEM FOR CONSTRUCTION PROJECTS
A PRODUCTION PLANNING SUPPORT SYSTEM FOR CONSTRUCTION PROJECTS Luis F. Alarcón 1 and Rodrigo Calderón 2 ABSTRACT This paper describes a computer system developed by the Production Management Center of
Knowledge Management in Software Companies An Appraisal
Knowledge Management in Software Companies An Appraisal B. Gopalkrishna, Lewlyn L. R. Rodrigues, P. K. Poornima, and Shivanshu Manchanda Abstract The present study involved evaluation of state of knowledge
APPLYING CASE BASED REASONING IN AGILE SOFTWARE DEVELOPMENT
APPLYING CASE BASED REASONING IN AGILE SOFTWARE DEVELOPMENT AIMAN TURANI Associate Prof., Faculty of computer science and Engineering, TAIBAH University, Medina, KSA E-mail: [email protected] ABSTRACT
U.S. Dept. of Defense Systems Engineering & Implications for SE Implementation in Other Domains
U.S. Dept. of Defense Systems Engineering & Implications for SE Implementation in Other Domains Mary J. Simpson System Concepts 6400 32 nd Northwest, #9 Seattle, WA 98107 USA Joseph J. Simpson System Concepts
Accenture Utilities Podcast Series A perspective on enterprise asset management in the power generation sector
Accenture Utilities Podcast Series A perspective on enterprise asset management in the power generation sector An interview with Todd Knapp, Accenture s Enterprise Asset Management Lead in Accenture Utilities
Going Lean the ERP Way
Going Lean the ERP Way Somnath Majumdar Abstract: Lean concepts and techniques are widely used all over the world today to eliminate waste in all processes. These are applicable for all organizations,
IMPROVING SUPPLY CHAIN MANAGEMENT IN CONSTRUCTION: WHAT CAN BE LEARNED FROM THE AEROSPACE INDUSTRY?
IMPROVING SUPPLY CHAIN MANAGEMENT IN CONSTRUCTION: WHAT CAN BE LEARNED FROM THE AEROSPACE INDUSTRY? Hans Voordijk 1 and Ruben Vrijhoef 2 1 Department of Construction Process Management, Faculty of Technology
Lean Silver Certification Blueprint
The Lean Certification Blueprint provides additional useful information beyond the Body of Knowledge. The Body of Knowledge specifies the competencies, topics, and subtopics required by different types
WORKPLAN: DATABASE FOR WORK PACKAGE PRODUCTION SCHEDULING
WorkPlan: Database for Work Package Production Scheduling WORKPLAN: DATABASE FOR WORK PACKAGE PRODUCTION SCHEDULING Hyun Jeong Choo 1, Iris D. Tommelein 2, Glenn Ballard 3, and Todd R. Zabelle 4 ABSTRACT
Lean 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
Supporting Lean Maintenance
Supporting Lean Maintenance Combining Best Practices with Technology for Superior Results TECHNOLOGY MANAGEMENT SOLUTIONS 2010 An Industry White Paper from Technology Management Solutions Supporting Lean
Lean Development A team approach to Software Application Development
Lean Development A team approach to Software Application Development By P. Nallasenapathi Vice President, Saksoft Date: March 2006 India Phone: +91 44 2461 4501 Email: [email protected] USA Phone: +1 212
A CONSTRUCTION SCHEDULE CONTROLLING SYSTEM USING WEB-BASED KNOWLEDGE TECHNOLOGY. Will Y. Lin(a) and H. Ping Tserng(b)
;Automation and Robct,cs in Construction XVI 1999 by UC3M r A CONSTRUCTION SCHEDULE CONTROLLING SYSTEM USING WEB-BASED KNOWLEDGE TECHNOLOGY Will Y. Lin(a) and H. Ping Tserng(b) (a)ph.d. Student, Dept.
IMPLEMENTING ELECTRONIC DOCUMENT MANAGEMENT SYSTEM FOR A LEAN DESIGN PROCESS
IMPLEMENTING ELECTRONIC DOCUMENT MANAGEMENT SYSTEM FOR A LEAN DESIGN PROCESS André Carneiro Giandon 1, Ricardo Mendes Junior 2 and Sergio Scheer 3 ABSTRACT This paper analyzes how the implementation of
Knowledge Management System for Academics
Knowledge Management System for Academics Ms. Heera Barpujary Department of Business Administration Tezpur University 1. Introduction Knowledge is power was rightly coined by Francis Bacon way back in
Turban and Volonino. Enterprise Systems: Supply Chains, ERP, CRM & KM
Turban and Volonino Chapter 10 Enterprise Systems: Supply Chains, ERP, CRM & KM Information Technology for Management Improving Performance in the Digital Economy 7 th edition John Wiley & Sons, Inc. Slides
the difference is in the DELIVERY
the difference is in the DELIVERY HR, BENEFITS, & PAYROLL TECHNOLOGY MODEL FLEXIBLE HR, BENEFITS, & PAYROLL SOLUTIONS CO-SOURCED TO ENSURE SUCCESS HR, Benefits, & Payroll Consulting Consultation to identify
Introduction to Management Information Systems
IntroductiontoManagementInformationSystems Summary 1. Explain why information systems are so essential in business today. Information systems are a foundation for conducting business today. In many industries,
Chapter Managing Knowledge in the Digital Firm
Chapter Managing Knowledge in the Digital Firm Essay Questions: 1. What is knowledge management? Briefly outline the knowledge management chain. 2. Identify the three major types of knowledge management
THE MANAGEMENT OF INTELLECTUAL CAPITAL
THE MANAGEMENT OF INTELLECTUAL CAPITAL Many companies have come to realize that market value multiples associated with its intangible assets (patents, trade-marks, trade secrets, brandings, etc.) are often
Tapping the benefits of business analytics and optimization
IBM Sales and Distribution Chemicals and Petroleum White Paper Tapping the benefits of business analytics and optimization A rich source of intelligence for the chemicals and petroleum industries 2 Tapping
EVALUATING BUILDING SYSTEMS BASED ON PRODUCTION PROCESS MANAGEMENT AND LEAN CONSTRUCTION CONCEPTS
Evaluating Building Systems Based on Production Process Management and Lean Construction Concepts EVALUATING BUILDING SYSTEMS BASED ON PRODUCTION PROCESS MANAGEMENT AND LEAN CONSTRUCTION CONCEPTS Alberto
Accounting information systems and business process : part 1
King Saud University College of Administrative Science Department of Accounting Accounting information systems and business process : part 1 Chapter 4 Prepared By: Eman Al-Aqeel Professor : Dr: Suliman
Center for Effective Organizations
Center for Effective Organizations TOTAL QUALITY MANAGEMENT AND EMPLOYEE INVOLVEMENT: SIMILARITIES, DIFFERENCES, AND FUTURE DIRECTIONS CEO PUBLICATION G 92-16 (219) EDWARD E. LAWLER III University of Southern
Contact me personally at (941) 932-0282 (direct) or send me a message on the web form below.
Michael Bovaird Headhunter & Staffing Specialist If you are an employer looking for temporary or contract staff for your company in the area of SAP, JAVA, BI or IT Staffing, contact me and I will find
White Paper Integrating Accenture Duck Creek with ECM. Reducing Complexity for the Commercial Insurance Carrier
White Paper Integrating Accenture Duck Creek with ECM Reducing Complexity for the Commercial Insurance Carrier Commercial property and casualty carriers face complexities that have historically challenged
What is a process? So a good process must:
PROCESS DESIGN BEST PRACTICES TABLE OF CONTENTS 1 What is a process? 2 The five Ws of process design 3 Standards are key 4 The how creating a model 5 How do you know when you have finished? 6 About ARIS
Cognos e-applications Fast Time to Success. Immediate Business Results.
Cognos e-applications Fast Time to Success. Immediate Business Results. www.cognos.com Cognos e-applications transform business-critical data into a readily available global view of our customers and our
Knowledge Management in Public Health. Nancy Dubois, NCCMT Consultant [email protected] 519.446.3636
Knowledge Management in Public Health Nancy Dubois, NCCMT Consultant [email protected] 519.446.3636 CPHA Conference, June 2009 Overview The four essential elements of Knowledge Management: Culture, Content,
E-Learning at Kyongju University in Seoul, Korea: the Present and the Future
E-Learning at Kyongju University in Seoul, Korea: the Present and the Future Hyunju Jeung, Ph D Full-time lecturer Kyongju University [email protected] Abstract Internet is spreading fast in our lives.
A study of application of information technology using e-crm in bank in rural area with special reference to SBI Bank, Sangamner
Feb., 2012 Marketing management A study of application of information technology using e-crm in bank in rural area with special reference to SBI Bank, Sangamner Dr. Kirti Gulati (Ass Prof) Institute of
Data Management Practices for Intelligent Asset Management in a Public Water Utility
Data Management Practices for Intelligent Asset Management in a Public Water Utility Author: Rod van Buskirk, Ph.D. Introduction Concerned about potential failure of aging infrastructure, water and wastewater
MASTER OF TECHNOLOGY
MASTER OF TECHNOLOGY IN ENTERPRISE BUSINESS ANALYTICS Learn to lead as an innovative DATA SCIENTIST CREATE effective GROWTH STRATEGIES for ENTERPRISES Scan QR code to find out more www.iss.nus.edu.sg Overview
E-procurement marketing efforts with the help of customer relationship management philosophy
E-procurement marketing efforts with the help of customer relationship management philosophy F. Yildirim Okan University, Turkiye, Okan University UBYO 34959 Tuzla/ Istanbul Turkiye [email protected]
JOURNAL OF OBJECT TECHNOLOGY
JOURNAL OF OBJECT TECHNOLOGY Online at www.jot.fm. Published by ETH Zurich, Chair of Software Engineering JOT, 2008 Vol. 7, No. 8, November-December 2008 What s Your Information Agenda? Mahesh H. Dodani,
USAGE OF KANBAN METHODOLOGY AT SOFTWARE DEVELOPMENT TEAMS
Journal of Applied Economics and Business USAGE OF KANBAN METHODOLOGY AT SOFTWARE DEVELOPMENT TEAMS Nevenka Kirovska 1, Saso Koceski 2 Faculty of Computer Science, University Goce Delchev, Stip, Macedonia
Important dimensions of knowledge Knowledge is a firm asset: Knowledge has different forms Knowledge has a location Knowledge is situational Wisdom:
Southern Company Electricity Generators uses Content Management System (CMS). Important dimensions of knowledge: Knowledge is a firm asset: Intangible. Creation of knowledge from data, information, requires
MARKET RESEARCH REPORT GUIDE FOR IMPROVING THE TRADECRAFT IN SERVICES ACQUISITION Version 1.0
DEPARTMENT OF DEFENSE MARKET RESEARCH REPORT GUIDE FOR IMPROVING THE TRADECRAFT IN SERVICES ACQUISITION Version 1.0 APRIL 2012 PREPARED BY THE: JOINT MARKET RESEARCH WORKING GROUP FOR THE: OFFICE OF THE
HOUSE BUILDING SUPPLY CHAIN STRATEGIES:
HOUSE BUILDING SUPPLY CHAIN STRATEGIES: Selecting The Right Strategy To Meet Customer Requirements Paul Childerhouse 1, Séverine M. Hong-Minh 2 and, Mohamed M. Naim 3 ABSTRACT Supply chain management has
MDM AS A PROCESS MAPPING TOOL IN LEAN CONSTRUCTION
12 TH INTERNATIONAL DEPENDENCY AND STRUCTURE MODELLING CONFERENCE, DSM 10 22 23 JULY 2010, CAMBRIDGE, UK MDM AS A PROCESS MAPPING TOOL IN LEAN CONSTRUCTION Fabian Furtmeier 1, Martin Graebsch 1, Fatos
Synergy: Building Information Modeling and
: Building Information Modeling and Assoc. Professor Rafael Sacks BIM Handbook Symposium Georgia Tech Atlanta, GA, 13 th March 2008 Introduction Both and BIM are deep process changes, in thinking and in
THE e-knowledge BASED INNOVATION SEMINAR
The Kaieteur Institute For Knowledge Management THE e-knowledge BASED INNOVATION SEMINAR OVERVIEW! Introduction Knowledge is a new form of renewable and intangible energy that is transforming many organizations.
Laserfiche for Federal Government MEET YOUR AGENCY S MISSION
Laserfiche for Federal Government MEET YOUR AGENCY S MISSION HOW ENTERPRISE CONTENT MANAGEMENT Serves Civilian and Defense Agencies Whether a federal agency supports farmers in the field, soldiers overseas
Are You Big Data Ready?
ACS 2015 Annual Canberra Conference Are You Big Data Ready? Vladimir Videnovic Business Solutions Director Oracle Big Data and Analytics Introduction Introduction What is Big Data? If you can't explain
Case Study. Application Development & Modernization ERP System. Case Study. Nations Photo Lab (Photo finishing Industry)
Application Development & Modernization ERP System Nations Photo Lab (Photo finishing Industry) 1 2013 Compunnel Software Group Application Modernization & Development ERP System Intensifying Readiness
Lean Implementation in Service Companies
Lean Implementation in Service Companies Alberto Portioli-Staudacher Politecnico di Milano Department of Management, Economics and Industrial Engineering, P.za Leonardo davinci, 32-20133 Milano, Italy
Improve 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
EXPLORATIVE APPLICATION OF THE MULTI- DOMAIN MATRIX METHODOLOGY IN LEAN DESIGN
151 EXPLORATIVE APPLICATION OF THE MULTI- DOMAIN MATRIX METHODOLOGY IN LEAN DESIGN Fabian A. Furtmeier 1, Iris D. Tommelein 2 ABSTRACT Structural complexity management provides a new approach to manage
IMPROVING THE DESIGN-CONSTRUCTION INTERFACE
Improving the Design-Construction Interface IMPROVING THE DESIGN-CONSTRUCTION INTERFACE Luis F. Alarcón 1 and Daniel A. Mardones 2 ABSTRACT In building projects customer requirements, constructive aspects
Effects of Knowledge Management in Small-Sized Software Organizations
Effects of Knowledge Management in Small-Sized Software Organizations Gajendra Patil 1, Dr. G R Bamnote 2 Research Scholar, Dr K N Modi University, Newai, Rajasthan, India 1 Professor & Head, Prof Ram
PROCESSING & MANAGEMENT OF INBOUND TRANSACTIONAL CONTENT
PROCESSING & MANAGEMENT OF INBOUND TRANSACTIONAL CONTENT IN THE GLOBAL ENTERPRISE A BancTec White Paper SUMMARY Reducing the cost of processing transactions, while meeting clients expectations, protecting
Adaptive demand planning in a volatile business environment
2012 International Conference on Economics, Business and Marketing Management IPEDR vol.29 (2012) (2012) IACSIT Press, Singapore Adaptive demand planning in a volatile business environment Romana Traxler
KNOWLEDGE MANAGEMENT IN DISASTER RISK REDUCTION
KNOWLEDGE MANAGEMENT IN DISASTER RISK REDUCTION The Indian Approach Government of India Ministry of Home Affairs National Disaster Management Division The document is prepared by a team comprising of Sujit
INFO1400. 1. What are business processes? How are they related to information systems?
Chapter 2 INFO1400 Review Questions 1. What are business processes? How are they related to information systems? Define business processes and describe the role they play in organizations. A business process
