Load-Based POLCA: An Integrated Material Control System for Multiproduct, Multimachine Job Shops

Published Online:https://doi.org/10.1287/msom.1070.0174

References

  • Bergamaschi D., Cigolini R., Perona M., Portioli A. Order review and release strategies in a job shop environment: A review and a classification. Internat. J. Production Res. (1997) 35(2):399–420CrossrefGoogle Scholar
  • Goldratt E. M., Cox J.The Goal: Excellence in Manufacturing (1984) (North River Press, New York) Google Scholar
  • Hopp W. J., Spearman M. L.Factory Physics (2000) (Irwin/McGraw-Hill, New York) Google Scholar
  • Hopp W. J., Spearman M. L. To pull or not to pull: What is the question? Manufacturing Service Oper. Management (2004) 6(2):133–148LinkGoogle Scholar
  • Huang C. C., Kusiak A. Overview of kanban systems. Internat. J. Comput. Integrated Manufacturing (1996) 9(3):169–189CrossrefGoogle Scholar
  • Jonsson P., Mattsson S.-A. The implications of fit between planning environments and manufacturing planning and control methods. Internat. J. Oper. Production Management (2003) 23(8):872–900CrossrefGoogle Scholar
  • Lambrecht M. R., Ivens L. I., Vandaele N. J. ACLIPS: A capacity and lead time integrated procedure for scheduling. Management Sci. (1998) 44(11):1548–1561LinkGoogle Scholar
  • Land M. J., Gaalman G. Workload control concepts in job shops—A critical assessment. Internat. J. Production Econom. (1996) 46-47:535–548CrossrefGoogle Scholar
  • Shanthikumar J. G., Buzacott J. A. Open queueing network models of dynamic job shops. Internat. J. Production Res. (1981) 19:255–266CrossrefGoogle Scholar
  • Spearman M. L., Woodruff D. L., Hopp W. J. CONWIP: A pull alternative to kanban. Internat. J. Production Res. (1990) 28(5):879–894CrossrefGoogle Scholar
  • Stevenson M., Hendry L. C., Kingsman B. G. A review of production planning and control: The applicability of key concepts to the make-to-order industry. Internat. J. Production Res. (2005) 34(5):869–898CrossrefGoogle Scholar
  • Suri R.Quick Response Manufacturing, A Companywide Approach to Reducing Lead Times (1998) (Productivity Press, Portland, OR) Google Scholar
  • Suri R., Krishnamurthy A. How to plan and implement POLCA: A material control system for high-variety or custom-engineered products. (2003a) . Technical report, Center for Quick Response Manufacturing, University of Wisconsin, Madison, WIGoogle Scholar
  • Suri R., Krishnamurthy A. Planning and implementing POLCA: A card-based control system for high variety or custom engineered products. Proc. FAIM 2003: The Internat. Conf. Flexible Automation and Intelligent Manufacturing (2003b) Google Scholar
  • Vandaele N. J. The impact of lot sizing on queueing delays: Multi-product, multi-machine models. (1996) . Ph.D. thesis, Department of Applied Economics, Katholieke Universiteit Leuven, Leuven, BelgiumGoogle Scholar
  • Vandaele N., De Boeck L. Advanced resource planning. Robotics Comput. Integrated Manufacturing (2003) 19:211–218CrossrefGoogle Scholar
  • Vandaele N. J., Lambrecht M. R., Shanthikumar J. G., Yao D. D., Zijm W. H. M. Reflections on the use of stochastic manufacturing models for planning decisions. Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains (2003) (Kluwer Academic Publishers, Dordrecht, The Netherlands) 53–85CrossrefGoogle Scholar
  • Vandaele N., Lambrecht M., De Schuyter N., Cremmery R. Improved lead time performance at Spicer Off-Highway. Interfaces (2000) 30(1):83–95LinkGoogle Scholar
  • Vollmann T. E., Berry W. L., Whybark D. C., Jacobs F. R.Manufacturing Planning and Control Systems for Supply Chain Management (2005) (McGraw Hill, New York) Google Scholar
  • Whitt W. The queueing network analyzer. Bell System Tech. J. (1983) 62(9):2779–2815CrossrefGoogle Scholar
  • Whitt W. Approximations for the GI/G/m queue. Production Oper. Management (1993) 2(2):114–161CrossrefGoogle Scholar
  • Zhou X., Luh P. B., Tomastik R. N. The performance of a new material control and replenishment system: A simulation and comparative study. Proc. Quick Response Manufacturing 2000 Conf. (2000) (Society of Manufacturing Engineers, Dearborn, MI) 807–826Google Scholar
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