Elicitation of Requirements for a Knowledge Management Concept in Decentralized Production Planning
The planning in manufacturing system is becoming complicated day by day due to the expanding networks and shortage of skilled people to manage change. Consequently, faster lead time and rising demands for eco-efficient evaluation of manufacturing products and processes need exploitation of new and intelligent knowledge management concepts for manufacturing planning. This paper highlights motivation for incorporation of new features in the manufacturing planning system. Furthermore, it elaborates requirements for the development of intelligent knowledge management concept to support planning related decisions. Afterwards, the derived concept is presented in this paper considering two case studies. The first case study is concerned with the automotive ramp-up planning. The second case study specifies requirements for knowledge management system to support decisions in eco-efficient evaluation of manufacturing products and processes
[1] J. E. Carrillo, R. M. Franza. “Investing in product development and
production capabilities: The crucial linkage between time-to-market and
ramp-up time”, European Journal of Operational Research, 171 (2), pp.
536-556. 2006
[2] U. Gross, T. Renner, “Coordination and Cooperation during Production
Ramp-up: An Empirical Study of the European Manufacturing
Industry”, POMS 21st Annual Conference, Vancouver, Canada. May
2010.
[3] C. Terwiesch, R. E. Bohn, “Learning and Process Improvement during
Production Ramp-up”, International Journal of Production Economics,
70 (1), pp. 1-19, 2001.
[4] J. Quick, A. Brunner, G. Schuh, “Modeling of Supply Chains with
regard to the Production Ramp-up”, 5th International Intelligent
Logistics System Conference, Gold Coast, Australia, pp. 1-10, Sep 2009.
[5] S. Fjällström, K. Säfsten, U. Harlin, J. Stahre, “Information enabling
production ramp-up”, Journal of Manufacturing Technology
Management, 20/2, pp. 178-196, 2009.
[6] A. Kuhn, H.-P. Wiendahl, W. Eversheim, G. Schuh, "fast ramp-up",
Dortmund: Verlag Praxiswissen, 2002.
[7] K. B. Hendricks, V. R. Singhal, “The Effect of Product Introduction
Delays on Operating Performance”, Management Science, 54 (5), pp.
878-892, 2008.
[8] C. Terwiesch, R. E. Bohn, K. S. Chea, “International Product Transfer
and Production Ramp-up: A Case study from the data storage industry”,
R&D Management, 4 (31), 435-451, 2001.
[9] H. Winkle, M. Heins, P. Nyhuis, “A controlling system based on cause–
effect relationships for the ramp-up of production systems, Production
Engineering - Research and Development, 1/1, pp.103-111, 2007.
[10] B. L. Bayus, “Speed-to-Market and New Product Performance Tradeoffs”,
Journal of Product Innovation Management, 14 (6), pp. 485-497,
1997.
[11] K. Efthymiou, K. Alexopoulos, P. Sipsas, D. Mourtzis, G.
Chryssolouris, “Knowledge management framework, supporting
manufacturing system design, Proceedings of 7th International
Conference on Digital Enterprise Technology, Athens, Greece, 28-30
Sep. 2011.
[12] H. Almgren, “Start-up of advanced manufacturing system – a case
study”, Integrated Manufacturing Systems 10, 3, pp. 126-135, 1999.
[13] H. Almgren, “Towards a framework for analyzing efficiency during
start-up: an empirical investigation of a Swedish auto manufacturer”,
International Journal of Production Economics, 60/61, pp. 79-86, 1999.
[14] F. Puppe, H. Stoyan, R. Studer, “Knowledge Engineering”, in: G. Görz,
C.-R. Röllinger, J. Schneeberger, Handbuch der künstlichen Intelligenz,
chapter 15, München: Oldenbourg, 2003.
[15] I. Nonaka, H. Takeuchi, “The Knowledge-Creating Company: How
Japanese Companies Create the Dynamics of Innovation”, Oxford:
University Press, 1995.
[16] I. Nonaka, “A Dynamic Theory of Organisational Knowledge Creation”,
Organization Science, 5(1), pp. 14-37, 1994.
[17] K. Valkokari, N. Helander, “Knowledge Management in Different
Types of Strategic SME Networks”, Management Research, 30/8, pp.
29-32, 2007.
[18] M. D. Michalisin, 2001, “Validity of annual report assertion about
innovativeness: an empirical investigation”, Journal of Business
Research, 53/3, pp. 151-161, 2001.
[19] F. Krohne, „Nachhaltiges Anlaufmanagement bei den KMU“, ZWF,
45/4, pp. 288-293, 2010.
[20] J.-C. Blumenau, C. C. Wuttke, “Application of a digital Factory in the
Ramp-up of Production Systems by Using Online-Data”, CIRP - Journal
of Manufacturing Systems, 34/3, pp. 241-245, 2005.
[21] S. Minhas, C. Juzek, U. Berger, “Ontology based Intelligent assistance
system to support manufacturing activities in a distributed
manufacturing environment”, 45th CIRP Conference on Manufacturing
Systems, Athens, Greece, May 2012
[22] W.Sen, S.Pokharel, and W. YuLei, “Supply chain positioning strategy
integration, evaluation, simulation, and optimization”, Computers &
Industrial Engineering, Vol. 46 No. 4, pp. 781-792,2004.
[23] A. Lyon,A.Coronado, and Z. Michaelides, “The relationship between
proximate supply and build-to-order capability”, Industrial Management
& Data Systems, Vol. 106 No. 8, pp. 1095-111,2006.
[24] J.Cai, “Development of a Reference Feature-Based Machining Process
Planning Data Model for Web-Enabled Exchange in Extended
Enterprise”, PhD Dissertation, Shaker Verlag, Aachen, 2007.
[25] A.Mokhtar, A. Tavakoli-Bina,M.Houshmand,“Approaches and
Challenges in Machining Feature Based Process Planning”, Proceedings
of 4th International Conference on Digital Enterprise Technology, 2007.
[26] U.Berger, R.Kretzschmann, K. P.Arnold, S. Minhas, “Approach for the
Development of a Heuristic Process Planning Tool for Sequencing NC
Machining Operations”, Applied Computer Science, 4/2:17-41, 2008.
[27] J.Joo, “Neural Network-based Dynamic Planning Model for Process
Parameter Determination”, Proceedings of International Conference on
Computational Intelligence for Modelling, Control and Automation and
International Conference on Intelligent Agents, Web Technologies and
Internet Commerce, Vienna, 28.-30. Nov., 117-122, 2005.
[28] L.Monostori, Z. J.Viharos,S.Markos, “Satisfying Various Requirements
in Different Levels and Stages of Machining using One General ANN
Based Process Model”, Journal of Materials Processing Technology,
107/1-3:228-235, 2000.
[29] Y. L. Tsai, C. F. You, J. Y. Lin, K. Y. Liu, “Knowledge-based
Engineering for Process Planning and Die Design for Automotive
Panels”, Computer-Aided Design & Applications, 7/1:75-87, 2010.
[30] D. Venkatesan, K. Kannan, R. Saravanan, “A Genetic Algorithm-Based
Artificial Neural Network Model for the Optimization of Machining
Processes”, Neural Computing and Applications, 18/2:135-140, 2009.
[31] M. Li, D. Wu, W.Ji,“Knowledge-Based Reasoning Assembly Process
Planning Approach to Laser Range-Finder”, International Conference on
Computer Application and System Modeling (ICCASM), Taiyuan, 22.-
24. Oct., V2-686-V2-690, 2010.
[32] F.Zhang, Y. F. Zhang, A. Y. C.Nee, “Using Genetic Algorithms in
Process Planning for Job Shop Machining”, IEEE Transactions on
Evolutionary Computation, 1/4:278-289,1997.
[33] C.Xu, G. Sand, S. Engell, “Coordination of Distributed Production
Planning and Scheduling Systems”, 5th International Conference on
management and control of production logistics, 08.-10. Sep., Portugal,
2010.
[34] R. Lima,R.Sousa,P.Martins,“Distributed Production Planning and
Control Agent Based System”, International Journal of Production
Research, 18th International Conference on Production Research, 31
Jul-4 Aug. 2005, Italy,2005.
[35] Y.Tu, X.Chu, W.Yang, “Computer-Aided Process Planning in Virtual
One-of-a-Kind Production”, Journal Computers in Industry, 41:99-110,
2000.
[36] D. Z.Zhang, A. I.Anosike, M. K. Lim, O. M. Akanle, “An Agent-Based
Approach for e-Manufacturing and Supply Chain Integration”, Journal
of Computers and Industrial Engineering, 51/2:343-360.2006.
[37] T.H. Davenport,L. Prusak, “Working Knowledge”, Harvard Business
School Press, Boston, MA, 2000.
[38] C.F. Cheung, W.M. Wang, L. Victor, W.B. Lee, “An agent-oriented and
knowledge-based system for strategic e-procurement”, Expert Systems,
Vol. 21 No. 1, 2004.
[39] P.Humphreys, G. Huang, T.Cadden, “A web-based supplier evaluation
tool for the product development process”, Industrial Management &
Data Systems, Vol. 105 No. 2, pp. 147-63., 2005.
[40] C.Lin, H.Tseng, “Identifying the pivotal role of participation strategies
and information technology application for supply chain excellence”,
Industrial Management& Data Systems, Vol. 106 No. 5, pp. 739-56,
2006.
[41] K.Efthymiou, K.Sipsas, D. Melekos, K.Georgoulias, G.Chryssolouris,
“A Manufacturing Ontology Following Performance Indicators
Approach”, Proceedings of 7th International Conference on Digital
Enterprise Technology (DET2011), Athens, 28-30 Sep. 2011.
[42] M. Cocea, “User Modelling and Adaption in Exploratory Learning”,
Dissertation, University of London, 2011.
[43] A. Aamod, E. Plaza, “Case-Based Reasoning: Foundational Issues,
Methodological Variations, and System Approaches”, Artificial
Intelligence, 7/1, pp. 39-52, 1994.
[44] J. Gao, G. Deng, “Semi-automatic Construction of Ontology-based CBR
System for Knowledge Integration”, International Journal of Electrical
and Electronics Engineering, 4:4, pp. 297-303, 2012.
[45] C. Okoli, S. D. Pawlowski, “The Delphi method as a research tool: an
example, design considerations and applications”, Information &
Management, 42, pp. 15-29, 2004.
[46] J.C. Brancheau, B.D. Janz, J.C. Wetherbe, “Key issues in information
systems management, 1994–95 SIM Delphi results,” MIS Quarterly, 20
(2), pp. 225–242, 1996.
[47] C.G. Cegielski, “A Model of the Factors that Affect the Integration of
Emerging Information Technology Into Corporate Strategy”,
Unpublished Doctoral Dissertation, University of Mississippi, 2001.
[48] S. Hayne, C. Pollard, “A comparative analysis of critical issues facing
Canadian information systems personnel: a national and global
perspective”, Information & Management, 38 (2), pp. 73–86, 2000.
[49] P. Holsapple, K. Joshi, “Knowledge manipulation activities: results of a
Delphi study”, Information & Management, 39 (6), pp. 477–490, 2002.
[50] V. Lai, W. Chung, “Managing international data communications”,
Information & Management, 45 (3), pp. 89–93, 2002
[51] P. Mulligan, “Specification of a capability-based IT classification
framework”, Information & Management, 39 (8), pp. 647–658, 2002.
[52] S. Nambisan, R. Agarwal, M. Tanniru, “Organizational mechanisms for
enhancing user innovation in information technology”, MIS Quarterly,
23 (3), pp. 365–395, 1999.
[53] R.C. Schmidt, K. Lyytinen, M. Keil, P. Cule, “Identifying software
project risks: an international Delphi study”, Journal of Management
Information Systems, 17 (4), pp. 5–36, 2001.
[54] G. Weimer, S. Seuring, “Information needs in the outsourcing lifecycle”,
Industrial Management & Data Systems, Vol. 108 No. 1, pp. 107-121,
2008.
[55] G. J. Skulmoski, F. T. Hartmann, J. Krahn, “The Delphi Method for
Graduate Research”, Journal of Information Technology Education,
Volume 6, pp. 1-21, 2007.
[1] J. E. Carrillo, R. M. Franza. “Investing in product development and
production capabilities: The crucial linkage between time-to-market and
ramp-up time”, European Journal of Operational Research, 171 (2), pp.
536-556. 2006
[2] U. Gross, T. Renner, “Coordination and Cooperation during Production
Ramp-up: An Empirical Study of the European Manufacturing
Industry”, POMS 21st Annual Conference, Vancouver, Canada. May
2010.
[3] C. Terwiesch, R. E. Bohn, “Learning and Process Improvement during
Production Ramp-up”, International Journal of Production Economics,
70 (1), pp. 1-19, 2001.
[4] J. Quick, A. Brunner, G. Schuh, “Modeling of Supply Chains with
regard to the Production Ramp-up”, 5th International Intelligent
Logistics System Conference, Gold Coast, Australia, pp. 1-10, Sep 2009.
[5] S. Fjällström, K. Säfsten, U. Harlin, J. Stahre, “Information enabling
production ramp-up”, Journal of Manufacturing Technology
Management, 20/2, pp. 178-196, 2009.
[6] A. Kuhn, H.-P. Wiendahl, W. Eversheim, G. Schuh, "fast ramp-up",
Dortmund: Verlag Praxiswissen, 2002.
[7] K. B. Hendricks, V. R. Singhal, “The Effect of Product Introduction
Delays on Operating Performance”, Management Science, 54 (5), pp.
878-892, 2008.
[8] C. Terwiesch, R. E. Bohn, K. S. Chea, “International Product Transfer
and Production Ramp-up: A Case study from the data storage industry”,
R&D Management, 4 (31), 435-451, 2001.
[9] H. Winkle, M. Heins, P. Nyhuis, “A controlling system based on cause–
effect relationships for the ramp-up of production systems, Production
Engineering - Research and Development, 1/1, pp.103-111, 2007.
[10] B. L. Bayus, “Speed-to-Market and New Product Performance Tradeoffs”,
Journal of Product Innovation Management, 14 (6), pp. 485-497,
1997.
[11] K. Efthymiou, K. Alexopoulos, P. Sipsas, D. Mourtzis, G.
Chryssolouris, “Knowledge management framework, supporting
manufacturing system design, Proceedings of 7th International
Conference on Digital Enterprise Technology, Athens, Greece, 28-30
Sep. 2011.
[12] H. Almgren, “Start-up of advanced manufacturing system – a case
study”, Integrated Manufacturing Systems 10, 3, pp. 126-135, 1999.
[13] H. Almgren, “Towards a framework for analyzing efficiency during
start-up: an empirical investigation of a Swedish auto manufacturer”,
International Journal of Production Economics, 60/61, pp. 79-86, 1999.
[14] F. Puppe, H. Stoyan, R. Studer, “Knowledge Engineering”, in: G. Görz,
C.-R. Röllinger, J. Schneeberger, Handbuch der künstlichen Intelligenz,
chapter 15, München: Oldenbourg, 2003.
[15] I. Nonaka, H. Takeuchi, “The Knowledge-Creating Company: How
Japanese Companies Create the Dynamics of Innovation”, Oxford:
University Press, 1995.
[16] I. Nonaka, “A Dynamic Theory of Organisational Knowledge Creation”,
Organization Science, 5(1), pp. 14-37, 1994.
[17] K. Valkokari, N. Helander, “Knowledge Management in Different
Types of Strategic SME Networks”, Management Research, 30/8, pp.
29-32, 2007.
[18] M. D. Michalisin, 2001, “Validity of annual report assertion about
innovativeness: an empirical investigation”, Journal of Business
Research, 53/3, pp. 151-161, 2001.
[19] F. Krohne, „Nachhaltiges Anlaufmanagement bei den KMU“, ZWF,
45/4, pp. 288-293, 2010.
[20] J.-C. Blumenau, C. C. Wuttke, “Application of a digital Factory in the
Ramp-up of Production Systems by Using Online-Data”, CIRP - Journal
of Manufacturing Systems, 34/3, pp. 241-245, 2005.
[21] S. Minhas, C. Juzek, U. Berger, “Ontology based Intelligent assistance
system to support manufacturing activities in a distributed
manufacturing environment”, 45th CIRP Conference on Manufacturing
Systems, Athens, Greece, May 2012
[22] W.Sen, S.Pokharel, and W. YuLei, “Supply chain positioning strategy
integration, evaluation, simulation, and optimization”, Computers &
Industrial Engineering, Vol. 46 No. 4, pp. 781-792,2004.
[23] A. Lyon,A.Coronado, and Z. Michaelides, “The relationship between
proximate supply and build-to-order capability”, Industrial Management
& Data Systems, Vol. 106 No. 8, pp. 1095-111,2006.
[24] J.Cai, “Development of a Reference Feature-Based Machining Process
Planning Data Model for Web-Enabled Exchange in Extended
Enterprise”, PhD Dissertation, Shaker Verlag, Aachen, 2007.
[25] A.Mokhtar, A. Tavakoli-Bina,M.Houshmand,“Approaches and
Challenges in Machining Feature Based Process Planning”, Proceedings
of 4th International Conference on Digital Enterprise Technology, 2007.
[26] U.Berger, R.Kretzschmann, K. P.Arnold, S. Minhas, “Approach for the
Development of a Heuristic Process Planning Tool for Sequencing NC
Machining Operations”, Applied Computer Science, 4/2:17-41, 2008.
[27] J.Joo, “Neural Network-based Dynamic Planning Model for Process
Parameter Determination”, Proceedings of International Conference on
Computational Intelligence for Modelling, Control and Automation and
International Conference on Intelligent Agents, Web Technologies and
Internet Commerce, Vienna, 28.-30. Nov., 117-122, 2005.
[28] L.Monostori, Z. J.Viharos,S.Markos, “Satisfying Various Requirements
in Different Levels and Stages of Machining using One General ANN
Based Process Model”, Journal of Materials Processing Technology,
107/1-3:228-235, 2000.
[29] Y. L. Tsai, C. F. You, J. Y. Lin, K. Y. Liu, “Knowledge-based
Engineering for Process Planning and Die Design for Automotive
Panels”, Computer-Aided Design & Applications, 7/1:75-87, 2010.
[30] D. Venkatesan, K. Kannan, R. Saravanan, “A Genetic Algorithm-Based
Artificial Neural Network Model for the Optimization of Machining
Processes”, Neural Computing and Applications, 18/2:135-140, 2009.
[31] M. Li, D. Wu, W.Ji,“Knowledge-Based Reasoning Assembly Process
Planning Approach to Laser Range-Finder”, International Conference on
Computer Application and System Modeling (ICCASM), Taiyuan, 22.-
24. Oct., V2-686-V2-690, 2010.
[32] F.Zhang, Y. F. Zhang, A. Y. C.Nee, “Using Genetic Algorithms in
Process Planning for Job Shop Machining”, IEEE Transactions on
Evolutionary Computation, 1/4:278-289,1997.
[33] C.Xu, G. Sand, S. Engell, “Coordination of Distributed Production
Planning and Scheduling Systems”, 5th International Conference on
management and control of production logistics, 08.-10. Sep., Portugal,
2010.
[34] R. Lima,R.Sousa,P.Martins,“Distributed Production Planning and
Control Agent Based System”, International Journal of Production
Research, 18th International Conference on Production Research, 31
Jul-4 Aug. 2005, Italy,2005.
[35] Y.Tu, X.Chu, W.Yang, “Computer-Aided Process Planning in Virtual
One-of-a-Kind Production”, Journal Computers in Industry, 41:99-110,
2000.
[36] D. Z.Zhang, A. I.Anosike, M. K. Lim, O. M. Akanle, “An Agent-Based
Approach for e-Manufacturing and Supply Chain Integration”, Journal
of Computers and Industrial Engineering, 51/2:343-360.2006.
[37] T.H. Davenport,L. Prusak, “Working Knowledge”, Harvard Business
School Press, Boston, MA, 2000.
[38] C.F. Cheung, W.M. Wang, L. Victor, W.B. Lee, “An agent-oriented and
knowledge-based system for strategic e-procurement”, Expert Systems,
Vol. 21 No. 1, 2004.
[39] P.Humphreys, G. Huang, T.Cadden, “A web-based supplier evaluation
tool for the product development process”, Industrial Management &
Data Systems, Vol. 105 No. 2, pp. 147-63., 2005.
[40] C.Lin, H.Tseng, “Identifying the pivotal role of participation strategies
and information technology application for supply chain excellence”,
Industrial Management& Data Systems, Vol. 106 No. 5, pp. 739-56,
2006.
[41] K.Efthymiou, K.Sipsas, D. Melekos, K.Georgoulias, G.Chryssolouris,
“A Manufacturing Ontology Following Performance Indicators
Approach”, Proceedings of 7th International Conference on Digital
Enterprise Technology (DET2011), Athens, 28-30 Sep. 2011.
[42] M. Cocea, “User Modelling and Adaption in Exploratory Learning”,
Dissertation, University of London, 2011.
[43] A. Aamod, E. Plaza, “Case-Based Reasoning: Foundational Issues,
Methodological Variations, and System Approaches”, Artificial
Intelligence, 7/1, pp. 39-52, 1994.
[44] J. Gao, G. Deng, “Semi-automatic Construction of Ontology-based CBR
System for Knowledge Integration”, International Journal of Electrical
and Electronics Engineering, 4:4, pp. 297-303, 2012.
[45] C. Okoli, S. D. Pawlowski, “The Delphi method as a research tool: an
example, design considerations and applications”, Information &
Management, 42, pp. 15-29, 2004.
[46] J.C. Brancheau, B.D. Janz, J.C. Wetherbe, “Key issues in information
systems management, 1994–95 SIM Delphi results,” MIS Quarterly, 20
(2), pp. 225–242, 1996.
[47] C.G. Cegielski, “A Model of the Factors that Affect the Integration of
Emerging Information Technology Into Corporate Strategy”,
Unpublished Doctoral Dissertation, University of Mississippi, 2001.
[48] S. Hayne, C. Pollard, “A comparative analysis of critical issues facing
Canadian information systems personnel: a national and global
perspective”, Information & Management, 38 (2), pp. 73–86, 2000.
[49] P. Holsapple, K. Joshi, “Knowledge manipulation activities: results of a
Delphi study”, Information & Management, 39 (6), pp. 477–490, 2002.
[50] V. Lai, W. Chung, “Managing international data communications”,
Information & Management, 45 (3), pp. 89–93, 2002
[51] P. Mulligan, “Specification of a capability-based IT classification
framework”, Information & Management, 39 (8), pp. 647–658, 2002.
[52] S. Nambisan, R. Agarwal, M. Tanniru, “Organizational mechanisms for
enhancing user innovation in information technology”, MIS Quarterly,
23 (3), pp. 365–395, 1999.
[53] R.C. Schmidt, K. Lyytinen, M. Keil, P. Cule, “Identifying software
project risks: an international Delphi study”, Journal of Management
Information Systems, 17 (4), pp. 5–36, 2001.
[54] G. Weimer, S. Seuring, “Information needs in the outsourcing lifecycle”,
Industrial Management & Data Systems, Vol. 108 No. 1, pp. 107-121,
2008.
[55] G. J. Skulmoski, F. T. Hartmann, J. Krahn, “The Delphi Method for
Graduate Research”, Journal of Information Technology Education,
Volume 6, pp. 1-21, 2007.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:65092", author = "S. Minhas and C. Juzek and U. Berger", title = "Elicitation of Requirements for a Knowledge Management Concept in Decentralized Production Planning", abstract = "The planning in manufacturing system is becoming complicated day by day due to the expanding networks and shortage of skilled people to manage change. Consequently, faster lead time and rising demands for eco-efficient evaluation of manufacturing products and processes need exploitation of new and intelligent knowledge management concepts for manufacturing planning. This paper highlights motivation for incorporation of new features in the manufacturing planning system. Furthermore, it elaborates requirements for the development of intelligent knowledge management concept to support planning related decisions. Afterwards, the derived concept is presented in this paper considering two case studies. The first case study is concerned with the automotive ramp-up planning. The second case study specifies requirements for knowledge management system to support decisions in eco-efficient evaluation of manufacturing products and processes
", keywords = "Ramp-up, Environmental impact, Knowledge management.", volume = "7", number = "9", pages = "1806-10", }
