Publication Cover
Production Planning & Control
The Management of Operations
Volume 26, 2015 - Issue 4
822
Views
22
CrossRef citations to date
0
Altmetric
Articles

Modified CONWIP systems: a review and classification

&
Pages 296-307 | Received 18 Feb 2013, Accepted 20 Feb 2014, Published online: 20 Mar 2014

References

  • Abou-Ali, M., and M. Shouman. 2004. “Effect of Dynamic and Static Dispatching Strategies on Dynamically Planned and Unplanned FMS.” Journal of Materials Processing Technology 148: 132–138.
  • Bahaji, N., and M. E. Kuhl. 2005. “A Simulation Study of New Multi-objective Composite Dispatching Rules, CONWIP, and Push Lot Release in Semiconductor Fabrication.” Journal of Production Research 46 (14): 3801–3824.
  • Benjaafar, S., W. L. Cooper, and J. S. Kim. 2005. “On the Benefits of Inventory Pooling in Production-inventory Systems.” Management Science 51 (4): 548–565.
  • Bergamaschi, D. R., M. P. Cigolini, and A. Portioli. 1997. “Order Review and Release Strategies in a Job Shop Environment: A Review and a Classification.” International Journal of Production Research 35 (2): 399–420.
  • Blackstone Jr, J. H., and J. F. Cox III. 2002. “Designing Unbalanced Lines-understanding Protective Capacity and Protective Inventory.” Production Planning & Control 13 (4): 416–423.
  • Bonvik, A. M., C. E. Couch, and S. B. Gershwin. 1997. “A Comparison of Production-line Control Mechanisms.” International Journal of Production Research 35 (3): 789–804.
  • Bonvik, A. M., Y. Dallery, and S. B. Gershwin. 2000. “Approximate Analysis of Production Systems Operated by a CONWIP/Finite Buffer Hybrid Control Policy.” International Journal of Production Research 38 (13): 2845–2869.
  • Boonlertvanich, K. 2005. “Extended CONWIP-KANBAN System Control and Performance Analysis.” PhD diss., Georgia Institute of Technology, USA.
  • Duenyas, I. 1994a. “A Simple Release Policy for Networks of Queues with Controllable Inputs.” Operations Research 42 (6): 1162–1171.
  • Duenyas, I. 1994b. “Estimating the Throughput of a Cyclic Assembly System.” International Journal of Production Research 32 (7): 1403–1419.
  • Faria, J., M. Matos, and E. Nunes. 2006. “Optimal Design of Work-in-process Buffers.” International Journal of Production Economics 99: 144–155.
  • Fowler, J. W., G. L. Hogg, and S. J. Mason. 2002. “Workload Control in the Semiconductor Industry.” Production Planning & Control 13 (7): 568–578.
  • Framinan, J. M., P. L. González, and R. Ruiz-Usano. 2003. “The CONWIP Production Control System: Review and Research Issues.” Production Planning & Control 14 (3): 255–265.
  • Framinan, J. M., P. L. González, and R. Ruiz-Usano. 2006. “Dynamic Card Controlling in a CONWIP System.” International Journal of Production Economics 99: 102–116.
  • Framinan, J. M., R. Ruiz-Usano, and R. Leisten. 1998. “Sequencing CONWIP Flow-shops: Analysis and Heuristics.” Discussion paper 15/98. Department of Business and Economics, University of Greifswald, Germany.
  • Framinan, J. M., R. Ruiz-Usano, and R. Leisten. 2000. “Input Control and Dispatching Rules in a Dynamic CONWIP Flow-shop.” International Journal of Production Research 38 (18): 4589–4598.
  • Framinan, J. M., R. Ruiz-Usano, and R. Leisten. 2001. “Sequencing CONWIP Flow-shops: Analysis and Heuristics.” International Journal of Production Research 39 (12): 2735–2749.
  • Fredendall, L. D., D. Ojha, and J. W. Patterson. 2010. “Concerning the Theory of Workload Control.” European Journal of Operational Research 201: 99–111.
  • Gallien, J., and L. M. Wein. 2001. “A Simple and Effective Component Procurement Policy for Stochastic Assembly Systems.” Queueing Systems 38: 221–248.
  • Gastermann, B., and M. Stopper. 2012. “Conceptual Prototype of a Planning Software for the CONWIP Production Control System.” In Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS) 2012, 1–6. Hong Kong.
  • Gaury, E. G. A., H. Pierreval, and J. P. C. Kleijnen. 2000. “An Evolutionary Approach to Select a Pull System among Kanban, CONWIP and Hybrid.” Journal of Intelligent Manufacturing 11: 157–167.
  • Geraghty, J., and C. Heavey. 2004. “A Comparison of Hybrid Push/Pull and CONWIP/Pull Production Inventory Control Policies.” International Journal of Production Economics 91: 75–90.
  • Gershwin, S. B. 1994. Manufacturing Systems Engineering. Englewood Cliffs, NJ: Prentice Hall.
  • Gilland, W. 2002. “A Simulation Study Comparing Performance of CONWIP and Bottleneck-based Release Rules.” Production Planning & Control 13 (2): 211–219.
  • Graves, S. C. 1981. “A Review of Production Scheduling.” Operations Research 29 (4): 646–675.
  • Gronalt, M. 2002. “Work Order Release and Input Sequencing for a Printed Circuit Board Assembly Cell.” Production Planning & Control 13 (7): 591–601.
  • Grosfeld-Nir, A., B. Ronen, and N. Kozlovsky. 2007. “The Pareto Managerial Principle: When Does It Apply?” International Journal of Production Research 45 (10): 2317–2325.
  • Hajji, A., A. Gharbi, J. P. Kenné, and Y. Hidehiko. 2009. “Production and Changeover Control Policies of a Class of Failure Prone Buffered Flow-shops.” Production Planning & Control 20 (8): 785–800.
  • Hamacher, H. W., and S. Nickel. 1998. “Classification of Location Models.” Location Science 6: 229–242.
  • Herer, Y. T., and M. Masin. 1997. “Mathematical Programming Formulation of CONWIP Based Production Lines and Relationships to MRP.” International Journal of Production Research 35: 1067–1076.
  • Hopp, W. J., and M. L. Roof. 1998. “Setting WIP Levels with Statistical Throughput Control (STC) in CONWIP Production Lines.” International Journal of Production Research 36: 867–882.
  • Hopp, W. J., and M. L. Spearman. 2011. Factory Physics. 3rd ed. Boston, MA: McGraw-Hill.
  • Huang, M., D. Wang, and W. H. Ip. 1998. “A Simulation and Comparative Study of CONWIP, Kanban and MRP Production Control Systems for a Cold Rolling Plant.” Production Planning & Control 9 (8): 803–812.
  • Ignizio, J. P. 2003. “The Implementation of CONWIP in Semiconductor Fabrication Facilities.” Future Fab International 14. http://www.future-fab.com/documents.asp?d_ID=1658.
  • Jacobsen, J. 2011. Sustainable Business and Industry: Designing and Operating for Social and Environmental Responsibility. Milwaukee, WI: ASQ Quality Press.
  • Jodlbauer, H., and A. Huber. 2008. “Service-level Performance of MRP, Kanban, CONWIP and DBR due to Parameter Stability and Environmental Robustness.” International Journal of Production Research 46 (8): 2179–2195.
  • Kalisch, S., R. Ringel, and J. Weigang. 2008. “Managing WIP and Cycle Time with the Help of Loop Control.” In Proceedings of the 2008 Winter Simulation Conference, Miami, FL, 2298–2304.
  • Karrer, C. 2012. Engineering Production Control Strategies. Management for Professionals. Berlin Heidelberg: Springer-Verlag.
  • Keblis, M. F., and I. Duenyas. 1995. “Control of an Assembly System with Processing Time and Subassembly Type Uncertainty.” Technical Report 95-9. Department of Industrial & Operations Engineering, University of Michigan, Ann Arbor, MI.
  • Kelkar, A. S. 1999. A JIT Implementation Using Hybrid KANBAN-CONWIP Modeling Approach. Master diss., University of Regina, Canada.
  • Kim, S., K. Roscoe Davis, and J. F. Cox III. 2003. “An Investigation of Output Flow Control, Bottleneck Flow Control and Dynamic Flow Control Mechanisms in Various Simple Lines Scenarios.” Production Planning & Control 14 (1): 15–32.
  • Kirkavak, N., and C. Dincer. 1999. “The General Behavior of Pull Production Systems: The Allocation Problems.” European Journal of Operational Research 119 (2): 479–494.
  • Kothari, C. R. 2008. Research Methodology. Methods and Techniques. New Delhi: New Age International Limited.
  • Krishnamurthy, A., and R. Suri. 2009. “Planning and Implementing POLCA: A Card-based Control System for High Variety or Custom Engineered Products.” Production Planning & Control 20 (7): 596–610.
  • Lee, C., and C. Chen. 1997. “A Dispatching Scheme Involving Move Control and Weighted Due Date for Wafer Foundries.” IEE Transactions on Components, Packaging, and Manufacturing Technology 20: 268–277.
  • Li, B. 2009. Making a High-mix Make-to-order Production System Lean. PhD diss., Massachusetts Institute of Technology.
  • Liker, J. K. 2004. The Toyota Way: 14 Management Principles from the World’s Greatest Manufacturer. New York: McGraw-Hill.
  • Liu, C. H. 2010. “A Coordinated Scheduling System for Customer Orders Scheduling Problem in Job Shop Environments.” Expert Systems with Applications 37: 7831–7837.
  • Marek, R. P., D. A. Elkins, and D. R. Smith. 2001. “Manufacturing Controls: Understanding the Fundamentals of Kanban and CONWIP Pull Systems Using Simulation.” In Proceedings of the 33nd Winter Simulation Conference, Arlington, VA, 921–929.
  • Matis, T. 2000. “On the Cumulant Functions of a Tandem Queueing Network with Population Constraints.” In Use of Simulation-based Analysis, Prepiction and Control in Remanufacturing Facilities, edited by B. A. Peters. Appendix B, 1–9. North Carolina: Texas Engineering Experiment Station.
  • Matis, T. I. 2002. “On the Cumulant-based Transient Analysis of State-dependent Queueing Networks: Applied to Helicopter Repair Modeling.” In Proceedings of International Conference on Stochastic Modelling and IV International Conference on Retrial Queues, Cochin, 29–49.
  • McCarthy, I. 1995. “Manufacturing Classifications: Lessons from Organizational Systematic and Biological Taxonomy.” Journal of Manufacturing and Technology Management-Integrated Manufacturing Systems 6 (6): 37–49.
  • Mönch, L., J. W. Fowler, and S. J. Mason. 2013. Production Planning and Control for Semiconductor Wafer Fabrication Facilities: Modeling, Analysis, and Systems. New York: Springer.
  • Monden, Y. 1983. Toyota Production System: Practical Approach to Production Management. Norcross, GA: Industrial Engineering and Management Press, Institute of Industrial Engineers.
  • Olhager, J., and F. Persson. 2006. “Simulating Production and Inventory Control Systems: A Learning Approach to Operational Excellence.” Production Planning & Control: The Management of Operations 17 (2): 113–127.
  • Panwalker, S. S., and W. Iskander. 1977. “A Survey of Scheduling Rules.” Operations Research 25 (1): 45–61.
  • Prakash, J., and J. F. Chin. 2011. “A Comparison of Push and Pull Production Controls Under Machine Breakdown.” International Journal of Business Science and Applied Management 6 (3): 58–70.
  • Prakash, J., M. Y. Chong, S. A. Mustafa, and J. F. Chin. 2011. “Parallel CONWIP for a High-mix Multi-stage Production System with Entrance of Rework.” Journal of Production Research and Management 1 (2): 1–23.
  • Qi, C., T. K. Tang, and A. I. Sivakumar. 2002. “Simulation Based Cause and Effect Analysis of Cycle Time and WIP in Semiconductor Wafer Fabrication.” In Proceedings of the 2002 Winter Simulation Conference, San Diego, CA, 1423–1430.
  • Rao, M. S., and K. V. Sharma. 2007. “Stochastic Modeling and Analysis of Generalized Kanban Controlled Unsaturated Finite Capacitated Multi-stage Production System.” In Proceedings of the 18th Annual Production & Operations Management Society Conference, Dallas, TX.
  • Rondeau, P. J., and L. A. Litteral. 2001. “Evolution of Manufacturing Planning and Control Systems: From Reorder Point to Enterprise Resources Planning.” Production & Inventory Management Journal 42 (2): 1–7.
  • Rose, O. 1999. “CONLOAD – A New Lot Release Rule for Semiconductor Wafer Fabs.” In Proceedings of the 1999 Winter Simulation Conference, Phoenix, AZ, 850–855.
  • Rose, O. 2001. “CONWIP-like Lot Release for a Wafer Fabrication Facility with Dynamic Load Changes.” In Proceedings of the 2001 International Conference on Semiconductor Operational Modeling and Simulation, Seattle, WA, 41–45.
  • Rotaru, A. 2011. “Performance Analyses of CONWIP–Base Stock Controlled Production System Using Simulation.” Scientific Bulletin, Automotive Series Year XVI 20 (1). University of Pitesti, Romania
  • Rubio, R., and L. W. Wein. 1996. “Setting Base Stock Levels Using Product-form Queueing Networks.” Management Science 42 (2): 259–268.
  • Ryan, S. M., B. Baynat, and F. Choobineh. 2000. “Determining Inventory Levels in a CONWIP Controlled Job Shop.” IIE Transactions 32 (2): 105–114.
  • Ryan, S. M., and J. Vorasayan. 2005. “Allocating Work in Process in a Multiple-product CONWIP System with Lost Sales.” International Journal of Production Research 43: 223–246.
  • Sandell, R., and K. Srinivasan. 1996. “Evaluation of Lot Release Policies for Semiconductor Manufacturing Systems.” In Proceedings of the 1996 Winter Simulation Conference, Coronado, CA, 1014–1022.
  • Sha, D. Y., S. Y. Hsu, Z. H. Che, and C. H. Chen. 2006. “A Dispatching Rule for Photolithography Scheduling with an On-line Rework Strategy.” Computers & Industrial Engineering 50: 233–247.
  • Slomp, J., J. A. C. Bokhorst, and R. Germs. 2009. “A Lean Production Control System for High-variety/Low-volume Environments: A Case Study Implementation.” Production Planning & Control 20 (7): 586–595.
  • Spearman, M. L. 1992. “Customer Service in Pull Production Systems.” Operations Research 40 (5): 948–958.
  • Spearman, M. L., D. L. Woodruff, and W. J. Hopp. 1990. “CONWIP: A Pull Alternative to Kanban.” International Journal of Production Research 28 (5): 879–894.
  • Spearman, M. L., and M. A. Zazanis. 1992. “Push and Pull Production Systems: Issues and Comparisons.” Operations Research 40 (3): 521–532.
  • Takahashi, K., and N. Nakamura. 2002. “Comparing Reactive Kanban and Reactive CONWIP.” Production Planning & Control: The Management of Operations 13 (8): 702–714.
  • Tardif, V., and L. Maaseidvaag. 2001. “An Adaptive Approach to Controlling Kanban Systems.” European Journal of Operational Research 132 (2): 411–424.
  • Tayur, S. R. 1992. “Properties of Serial Kanban Systems.” Queueing Systems 12: 297–319.
  • Trietsch, D. 1995. “JIT for Repetitive and Non-repetitive Production.” In Quality Management for System Optimization: Leadership, Focusing, Analysis and Engineering. Chapter 21 (Draft textbook). Available for non-commercial use at http://staff.business.auckland.ac.nz/staffpages/dtriets/HBC.htm.
  • Trietsch, D. 2005. “From Management by Constraints (MBC) to Management by Criticalities (MBC II).” Human Systems Management 24: 105–115.
  • Varela, M. I. 1997. An Adaptive CONWIP Strategy for the Automotive Trim Industry. Master diss., University of Texas, El Paso.
  • Wang, L. X., E. H. Tay, and L. H. Lee. 2000. “Scheduling MEMS Manufacturing.” In Proceedings of the 2000 Winter Simulation Conference, Orlando, FL, 1472–1480.
  • Yang, K. K. 2000. “Managing a Flow Line with Single-kanban, Dual-kanban or CONWIP.” Production and Operations Management 9 (4): 349–366.
  • Yang, T., H. P. Fu, and K. Y. Yang. 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.
  • Yang, T., C. H. Hsieh, and B. Y. Cheng. 2011. “Lean-pull Strategy in a Re-entrant Manufacturing Environment: A Pilot Study for TFT-LCD Array Manufacturing.” International Journal of Production Research 49 (6): 1511–1529.
  • Zazanis, M. A. 1994. “Push and Pull Systems with External Demands.” In Proceedings of 32nd Allerton Conference on Communication, Control, and Computing, Illinois, 691–698.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.