How to cite this paper
Romagnoli, G. (2015). Design and simulation of CONWIP in the complex flexible job shop of a Make-To-Order manufacturing firm.International Journal of Industrial Engineering Computations , 6(1), 117-134.
Refrences
Adetunji, O.A.B. & Yadavalli, S.V. (2012). An integrated utilisation, scheduling and lot-sizing algorithm for pull production, International Journal of Industrial Engineering: Theory, Applications and Practice, 19(3).
Anavi-Isakow, S. & Golany, B. (2003). Managing multi-project environments through constant work-in-process, International Journal of Project Management, 21(1), 9-18.
Benton, W.C. & Shin, H. (1998). Manufacturing Planning and Control: The evolution of MRP and JIT integration, European Journal Of Operational Research, 110(3), 411-440.
Bertolini, M., Braglia, M., Romagnoli, G. & Zammori, F. (2013). Extending value stream mapping: the synchro-MRP case, International Journal of Production Research, 51(18), 5499-5519.
Bertolini, M. & Romagnoli, G. (2013). Design and simulation of multi-CONWIP into a Make-To-Order firm with General Job Shop configuration, Proceedings of the 43rd International Conference on Computers and Industrial Engineering (CIE43), 16-18 October 2013, Hong Kong, China.
Bonvik, A.M., Couch, C.E. & Gershwin, S.B. (1997). A comparison of production-line control mechanisms, International Journal of Production Research, 35(3), 789-804.
Braglia, M., Frosolini, M., Gabbrielli, R. & Zammori, F. (2011). CONWIP card setting in a flow-shop system with a batch production machine, International Journal of Industrial Engineering Computations, 2(1), 1-18.
Chong, M.Y., Prakash, J., Ng, S.L., Ramli, R. & Chin, J.F. (2013). Parallel Kanban-ConWIP system for batch production in electronics assembly, International Journal of Industrial Engineering: Theory, Applications and Practice, 20(7-8).
Duri, C., Frein, Y. & Lee, H.-S. (2000). Performance evaluation and design of a CONWIP system with inspections, International Journal of Production Economics, 64(1), 219-229.
Enns, S.T. (1995). An economic approach to job shop performance analysis, International Journal of Production Economics, 38(2-3), 117-131.
Flapper, S.D.P., Miltenburg, G.J. & Wijugard, J. (1991). Embedding JIT into MRP, International Journal of Production Research, 29(2), 329-341.
Framinan, J.M., Gonz?lez, P.L. & Ruiz-Usano, R. (2003). The CONWIP production control system: review and research issues, Production Planning & Control, 14(3), 255-265.
Framinan, J.M., Gonz?lez, P.L. & Ruiz-Usano, R. (2006). Dynamic card controlling in a CONWIP system, International Journal of Production Economics, 99(1-2), 102-116.
Geraghty, J. & Heavey, C. (2004). A comparison of Hybrid Push/Pull and CONWIP/Pull production inventory control policies, International Journal of Production Economics, 91(1), 75-90.
Gibson, P., Greenhalgh, G. & Kerr, R. (1995). Manufacturing Management: Principles and concepts, London: Chapman & Hall.
Hall, R.W., (1981). Driving the productivity machine: Production planning and control in Japan, Falls Church, Virginia: American Production and Inventory Control Society.
Hodgson, T.J. & Wang, D. (1991). Optimal hybrid push/pull control strategies for a parallel multistage system: Part I, International Journal of Production Research, 29(6), 1279-1287.
Hopp, W.J. & Spearman, M.L. (2008). Factory Physics, 3rd ed., Dubuque, Iowa: McGraw-Hill/Irwin.
Huang, M., Wang, D. & Ip, W.H. (1998). Simulation study of CONWIP for a cold rolling plant, International Journal of Production Economics, 54(3), 257-266.
Koulouriotis, D.E., Xanthopuolos, A.S. & Tourassis V.D. (2010). Simulation optimisation of pull control policies for serial manufacturing lines and assembly manufacturing systems using genetic algorithms, International Journal of Production Research, 48(10), 2887-2912.
Lambrecht, M.R. & Decaluwe, L. (1988). JIT and constraint theory: the issue of bottleneck management, Production and Inventory Management Journal, 29(3), 61-65.
Larsen, N.E. & Alting, L. (1993). Criteria for selecting a production control philosophy, Production Planning and Control, 4(1), 54-68.
Lengyel, A., Hatono, I. & Ueda, K. (2003). Scheduling for on-time completion in job-shops using feasibility function, Computers & Industrial Engineering, 45(1), 215-229.
Li, G.-W. (2010). Simulation study of coordinating layout change and quality improvement for adapting job shop manufacturing to CONWIP control, International Journal of Production Research, 48(3), 879-900.
Mahdavi, I., Shirazi, B. & Solimanpur, M. (2010). Development of a simulation-based decision support system for controlling stochastic flexible job shop manufacturing systems, Simulation Modelling Practice and Theory, 18(6), 768-786.
Monden, Y. (1998). Toyota Production System, An Integrated Approach to Just-In-Time, 3rd ed., Norcross, Georgia: Chapman & Hall.
Montgomery, D.C. (2001). Design and analysis of experiments, 5th ed., New York, New York: John Wiley & Sons.
Ohno, T. (1988). Toyota Production System: Beyond Large-Scale Production, New York, New York: Productivity Press.
?zbayrak, M., Papadopoulou, T.C. & Samaras, E. (2006). A flexible and adaptable planning and control system for an MTO supply chain system, Robotics and Computer-Integrated Manufacturing, 22(5-6), 557-565.
Pettersen, J.A. & Segerstedt, A. (2009). Restricted work-in-process: A study of differences between Kanban and CONWIP, International Journal of Production Economics, 118(1), 199-207.
Pinedo, M. (2002). Scheduling: theory, algorithms and systems, 2nd ed., Upper Saddle River, New Jersey: Prentice Hall.
Ramsay, M.L., Brown, S. & Tabibzade, K. (1990). Push, pull and squeeze shop floor control with computer simulation, Industrial Engineering, 22(2), 39-45.
Renna, P. (2010). Dynamic control card in a production system controlled by CONWIP approach, Jordan Journal of Mechanical and Industrial Engineering, 4(4), 425-432.
Roderick, L.M., Toland, J. & Rodriguez, F.P. (1994). A simulation study of CONWIP versus MRP at Westinghouse, Computer & Industrial Engineering, 26(2), 237-242.
Rubiano Ovalle, O. & Crespo Marquez, A. (2003). Exploring the utilization of a CONWIP system for supply chain management. A comparison with fully integrated supply chains. International Journal of Production Economics, 83(2), 195-215.
Scholl, A. (1999). Balancing and sequencing of assembly lines, 2nd ed., Munich: Physica Verlag.
Sharma, S. & Agrawal, N. (2009). Selection of a pull production control policy under different demand situations for a manufacturing system by AHP-algorithm, Computer & Operations Research, 36(5), 1622-1632.
Spearman, M. L., Woodruff, D. L. & Hopp, W. J. (1990). CONWIP: a pull alternative to kanban, International Journal Of Production Research, 28(5), 879-894.
Stevenson, M., Hendry, L.C. & Kingsman, B.G. (2005). A review of production planning and control: the applicability of key concepts to the make-to-order industry, International Journal of Production Research, 43(5), 869-898.
Sultana, I & Ahmed, I. (2014). A state of art review on optimization techniques in just in time. Uncertain Supply Chain Management, 2(1), 15-26.
Thiagarajan, S. & Rajendran, C. (2005). Scheduling in dynamic assembly job-shops to minimize the sum of weighted earliness, weighted tardiness and weighted flowtime of jobs, Computers & Industrial Engineering, 49(4), 463-503.
Villa, A. & Watanabe, T. (1993). Production management: beyond the dichotomy between push and pull, Computer Integrated Manufacturing Systems, 6(1), 53-63.
Vollmann, T.E., Berry, W.L. & Whybarck, D.C. (1997). Manufacturing planning and control systems, 4th ed., New York, New York: McGraw-Hill.
Yang, T., Fu, H.P. & Yang, K.Y. (2007). An evolutionary-simulation approach for the optimization of multi-constant work-in-process strategy – A case study, International Journal of Production Economics, 107(1), 104-114.
Anavi-Isakow, S. & Golany, B. (2003). Managing multi-project environments through constant work-in-process, International Journal of Project Management, 21(1), 9-18.
Benton, W.C. & Shin, H. (1998). Manufacturing Planning and Control: The evolution of MRP and JIT integration, European Journal Of Operational Research, 110(3), 411-440.
Bertolini, M., Braglia, M., Romagnoli, G. & Zammori, F. (2013). Extending value stream mapping: the synchro-MRP case, International Journal of Production Research, 51(18), 5499-5519.
Bertolini, M. & Romagnoli, G. (2013). Design and simulation of multi-CONWIP into a Make-To-Order firm with General Job Shop configuration, Proceedings of the 43rd International Conference on Computers and Industrial Engineering (CIE43), 16-18 October 2013, Hong Kong, China.
Bonvik, A.M., Couch, C.E. & Gershwin, S.B. (1997). A comparison of production-line control mechanisms, International Journal of Production Research, 35(3), 789-804.
Braglia, M., Frosolini, M., Gabbrielli, R. & Zammori, F. (2011). CONWIP card setting in a flow-shop system with a batch production machine, International Journal of Industrial Engineering Computations, 2(1), 1-18.
Chong, M.Y., Prakash, J., Ng, S.L., Ramli, R. & Chin, J.F. (2013). Parallel Kanban-ConWIP system for batch production in electronics assembly, International Journal of Industrial Engineering: Theory, Applications and Practice, 20(7-8).
Duri, C., Frein, Y. & Lee, H.-S. (2000). Performance evaluation and design of a CONWIP system with inspections, International Journal of Production Economics, 64(1), 219-229.
Enns, S.T. (1995). An economic approach to job shop performance analysis, International Journal of Production Economics, 38(2-3), 117-131.
Flapper, S.D.P., Miltenburg, G.J. & Wijugard, J. (1991). Embedding JIT into MRP, International Journal of Production Research, 29(2), 329-341.
Framinan, J.M., Gonz?lez, P.L. & Ruiz-Usano, R. (2003). The CONWIP production control system: review and research issues, Production Planning & Control, 14(3), 255-265.
Framinan, J.M., Gonz?lez, P.L. & Ruiz-Usano, R. (2006). Dynamic card controlling in a CONWIP system, International Journal of Production Economics, 99(1-2), 102-116.
Geraghty, J. & Heavey, C. (2004). A comparison of Hybrid Push/Pull and CONWIP/Pull production inventory control policies, International Journal of Production Economics, 91(1), 75-90.
Gibson, P., Greenhalgh, G. & Kerr, R. (1995). Manufacturing Management: Principles and concepts, London: Chapman & Hall.
Hall, R.W., (1981). Driving the productivity machine: Production planning and control in Japan, Falls Church, Virginia: American Production and Inventory Control Society.
Hodgson, T.J. & Wang, D. (1991). Optimal hybrid push/pull control strategies for a parallel multistage system: Part I, International Journal of Production Research, 29(6), 1279-1287.
Hopp, W.J. & Spearman, M.L. (2008). Factory Physics, 3rd ed., Dubuque, Iowa: McGraw-Hill/Irwin.
Huang, M., Wang, D. & Ip, W.H. (1998). Simulation study of CONWIP for a cold rolling plant, International Journal of Production Economics, 54(3), 257-266.
Koulouriotis, D.E., Xanthopuolos, A.S. & Tourassis V.D. (2010). Simulation optimisation of pull control policies for serial manufacturing lines and assembly manufacturing systems using genetic algorithms, International Journal of Production Research, 48(10), 2887-2912.
Lambrecht, M.R. & Decaluwe, L. (1988). JIT and constraint theory: the issue of bottleneck management, Production and Inventory Management Journal, 29(3), 61-65.
Larsen, N.E. & Alting, L. (1993). Criteria for selecting a production control philosophy, Production Planning and Control, 4(1), 54-68.
Lengyel, A., Hatono, I. & Ueda, K. (2003). Scheduling for on-time completion in job-shops using feasibility function, Computers & Industrial Engineering, 45(1), 215-229.
Li, G.-W. (2010). Simulation study of coordinating layout change and quality improvement for adapting job shop manufacturing to CONWIP control, International Journal of Production Research, 48(3), 879-900.
Mahdavi, I., Shirazi, B. & Solimanpur, M. (2010). Development of a simulation-based decision support system for controlling stochastic flexible job shop manufacturing systems, Simulation Modelling Practice and Theory, 18(6), 768-786.
Monden, Y. (1998). Toyota Production System, An Integrated Approach to Just-In-Time, 3rd ed., Norcross, Georgia: Chapman & Hall.
Montgomery, D.C. (2001). Design and analysis of experiments, 5th ed., New York, New York: John Wiley & Sons.
Ohno, T. (1988). Toyota Production System: Beyond Large-Scale Production, New York, New York: Productivity Press.
?zbayrak, M., Papadopoulou, T.C. & Samaras, E. (2006). A flexible and adaptable planning and control system for an MTO supply chain system, Robotics and Computer-Integrated Manufacturing, 22(5-6), 557-565.
Pettersen, J.A. & Segerstedt, A. (2009). Restricted work-in-process: A study of differences between Kanban and CONWIP, International Journal of Production Economics, 118(1), 199-207.
Pinedo, M. (2002). Scheduling: theory, algorithms and systems, 2nd ed., Upper Saddle River, New Jersey: Prentice Hall.
Ramsay, M.L., Brown, S. & Tabibzade, K. (1990). Push, pull and squeeze shop floor control with computer simulation, Industrial Engineering, 22(2), 39-45.
Renna, P. (2010). Dynamic control card in a production system controlled by CONWIP approach, Jordan Journal of Mechanical and Industrial Engineering, 4(4), 425-432.
Roderick, L.M., Toland, J. & Rodriguez, F.P. (1994). A simulation study of CONWIP versus MRP at Westinghouse, Computer & Industrial Engineering, 26(2), 237-242.
Rubiano Ovalle, O. & Crespo Marquez, A. (2003). Exploring the utilization of a CONWIP system for supply chain management. A comparison with fully integrated supply chains. International Journal of Production Economics, 83(2), 195-215.
Scholl, A. (1999). Balancing and sequencing of assembly lines, 2nd ed., Munich: Physica Verlag.
Sharma, S. & Agrawal, N. (2009). Selection of a pull production control policy under different demand situations for a manufacturing system by AHP-algorithm, Computer & Operations Research, 36(5), 1622-1632.
Spearman, M. L., Woodruff, D. L. & Hopp, W. J. (1990). CONWIP: a pull alternative to kanban, International Journal Of Production Research, 28(5), 879-894.
Stevenson, M., Hendry, L.C. & Kingsman, B.G. (2005). A review of production planning and control: the applicability of key concepts to the make-to-order industry, International Journal of Production Research, 43(5), 869-898.
Sultana, I & Ahmed, I. (2014). A state of art review on optimization techniques in just in time. Uncertain Supply Chain Management, 2(1), 15-26.
Thiagarajan, S. & Rajendran, C. (2005). Scheduling in dynamic assembly job-shops to minimize the sum of weighted earliness, weighted tardiness and weighted flowtime of jobs, Computers & Industrial Engineering, 49(4), 463-503.
Villa, A. & Watanabe, T. (1993). Production management: beyond the dichotomy between push and pull, Computer Integrated Manufacturing Systems, 6(1), 53-63.
Vollmann, T.E., Berry, W.L. & Whybarck, D.C. (1997). Manufacturing planning and control systems, 4th ed., New York, New York: McGraw-Hill.
Yang, T., Fu, H.P. & Yang, K.Y. (2007). An evolutionary-simulation approach for the optimization of multi-constant work-in-process strategy – A case study, International Journal of Production Economics, 107(1), 104-114.