Modeling for JIT Production
This page was created and maintained by Dr. Chao-Hsien Chu at the School of Information Sciences and Technology, The Pennsylvania State University, USA.He will continually update the page as his time permitted. Thanks for your visit. Mail your comments and suggestions to: chu@ist.psu.edu.

Modeling Issues for JIT Production.
General Concepts.
Mathematical Modeling.
Simulation Modeling.
Comparison with Other Systems.
Determine the Number of Kanbans.
Mixed-Model Sequencing.
Miscellaneous.

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Modeling Issues for JIT Production:

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General Concepts:

  1. Ahmed, N. U., Tunc, E. A. and Montagno, R. V., "A Comparative Study of US Manufacturing Firms at Various Stages of JustinTime Implementation," Int. J. of Prod. Res., 29, 4 (1991), pp. 787-802.

  2. Berkley, B. J., "A Review of the Kanban Production Control Research Literature," Production and Operations Management,

  3. Crawford, K. M., Blackstone, J. H. and Cox, J. F., "A Study of JIT Implementation and Operating Problems," Int. J. of Prod. Res., 26, 9 (1988), pp. 1561-1568.

  4. Golhar, D. Y. and Stamm, C. L., "The JustinTime Philosophy: A Literature Review," Int. J. of Prod. Res., 29, 4 (1991), pp. 657-676.

  5. Joo, S. H. and Wilhelm, W. E., "A Review of Quantitative Approaches in Just-in-Time Manufacturing," Production Planning and Control, 4, 3 (1993), pp. 207-222.

  6. Miltenburg, J. and Wijngaard, J., "Designing and Phasing in Just-in-Time Production Systems," Int. J. of Prod. Res., 29, 1 (1991), pp. 115-131.

  7. Uzsoy, R. and Martin-Vega, L. A., "Modelling Kanban-Based Demand-Pull Systems: A Survey and Critique," Manufacturing Review, 3, 3 (September 1990), pp. 155-160.

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Mathematical Modeling:

  1. Berkley, B. J., "Tandem Queues and Kanban-Controlled Lines," Int. J. of Prod. Res., 29, 10 (1991), pp. 2057-2081.

  2. Chan, J. S., Samson, D. A. and Sohal, A. S., "An Integrative Model of Japanese Manufacturing Techniques," Int. J. of Operations and Production Management, 10, 9, 37-56.

  3. Chaudhury, A. and Whinston, A. B., "Towards an Adaptive Kanban System," Int. J. of Prod. Res., 28, 3 (1990), pp. 437-458.

  4. Kimura, O. and Terada, H., "Design and Analysis of Pull System: A Method of MultiStage Production Control," Int. J. of Prod. Res., 19, 3 (1981), pp. 241-253.

  5. Lee, L. C. "Parametric Appraisal of the JIT Systems," Int. J. of Prod. Res., 25, 10 (1987), pp. 1415-1429.

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Simulation Modeling:

  1. Berkley, B. J., "Setting Minimum Performance Levels for Two-Card Kanban-Controlled Lines," Int. J. of Prod. Res., 31, 5 (1993), pp. 1003-1021.

  2. Green, F. B., "Simulating the Use of Flexible Kanbans in a Mixed-Model Production Cell with Variable Demand," Proceedings of the National Decision Sciences Meeting, (1989).

  3. Gupta, Y. P. and Gupta, M., "A System Dynamics Model of a JIT Kanban System," Eng. Costs and Prod. Econ., 18 (1989), pp. 117-130.

  4. Huang, P. Y., Rees, L. P. and Taylor III, B. W., "A Simulation Analysis of the Japanese Just-in-Time Technique (with Kanban) for a Multiline, Multistage Production System," Decision Sciences, 14 (1983), pp. 326-344.

  5. Mascolo, M. D., Frein, Y., Dallery, Y. and David, R., "A Unified Modeling of Kanban Systems Using Petri Nets," Int. J. Flexible Manufacturing Systems, 3, (1991), pp. 275-307.

  6. Mejabi, O. and Wasserman, G. S., "Basic Concepts of JIT Modelling," Int. J. of Prod. Res., 30, 1 (1992), pp. 141-149.

  7. Mejabi, O. and Wasserman, G. S., "Simulation Constructs for JIT Modelling," Int. J. of Prod. Res., 30, 5 (1992), pp. 1119-1135.

  8. Schroer, B. J., Black, J. T., and Zhang, S. X., "Microcomputer Analyzes 2Card Kanban System for Just-in-Time Small Batch Production," Industrial Engineering, (June 1984), pp. 54-65.

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Comparison with Other Systems:

  1. Buzacott, J. A., "Queuing Models of Kanban and MRP Controlled Production Systems," Eng. Costs and Prod. Econ., 17 (1989), pp. 3-20.

  2. Deleersnyder, J. L., Hodgson, T. J., King, R. L., O'grady, P. J. and Savva, A., "Integrating Kanban Type Pull Systems and MRP Type Push Systems: Insights From a Markovian Model," IIE Transactions, 24, 3 (1992), pp. 43-56.

  3. Flapper, S. D. P., Miltenburg, G. J. and Wijngaard, J., "Embedding JIT into MRP," Int. J. of Prod. Res., 29, 2 (1991), pp. 329-341.

  4. Graham, I., "Comparing Trigger and Kanban Control of Flow-Line Manufacture," Int. J. of Prod. Res., 30, 10 (1992), pp. 2351-2362.

  5. Hodgson, T. J. and Wang, D., "Optimal Hybrid Push/Pull Control Strategies for a Parallel Multistage System: Part I," Int. J. of Prod. Res., 29, 6 (1991), pp. 1279-1287.

  6. Hodgson, T. J. and Wang, D., "Optimal Hybrid Push/Pull Control Strategies for a Parallel Multistage System: Part II," Int. J. of Prod. Res., 29, 7 (1991), pp. 1453-1460.

  7. krajewski, L. J., King, B. E., Ritzman, L. P. and Wong, D. S., "Kanban, MRP, and Shaping the Manufacturing Environment," Management Science, 33, 1 (1987), pp. 39-57.

  8. Lu, I., Tang, L., and Hor, F., "A Study of the Comparison of Push vs. Pull Production System," Proceedings of the 2nd International Conference on Comparative Management, (1988), pp. 65-70.

  9. Rees, L. P., Huang, P. Y. and Taylor, III, B. W., "A Comparative Analysis of an MRP Lot-for-Lot System and a Kanban System for a Multistage Production Operation," Int. J. of Prod. Res., 27, 8 (1989), pp. 1427-1443.

  10. Sarker, B. R. and Fitzsimmons, J. A., "The Performance of Push and Pull Systems: A Simulation and Comparative Study," Int. J. of Prod. Res., 27, 10 (1989), pp. 1715-1731.

  11. Wang, F. and Wilson, R. C., "Comparative Analyses of Fixed and Removable Item Mixed Model Assembly Lines," AIIE Transaction, (September 1986), pp. 313-317.

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Determine the Number of Kanbans:

  1. Bard, J. F. and Golany, B., "Determining the Number of Kanbans in a Multiproduct, Multistage Production System," Int. J. of Prod. Res., 29, 5 (1991), pp. 881-895.

  2. Berkley, B. J., "Analysis and Approximation of a JIT Production Lines: A Comment," Decision Sciences, 21, 3 (1990), pp. 660-669.

  3. Berkley, B. J., "A Decomposition Approximation for Periodic Kanban-Controlled Flow Shops," Decision Sciences, 23, 2 (1992), pp. 291-311.

  4. Bitran, G. R. and Chang, L. "A Mathematical Programming Approach to a Deterministic Kanban System," Management Science, 33, 4 (1987), pp. 427-441.

  5. Davis, W. J. and Stubitz, S. J., "Configuring a Kanban System Using a Discrete Optimization of Multiple Stochastic Responses," Int. J. of Prod. Res., 25, 5 (1987), pp. 721-740.

  6. Deleersnyder, J. L., Hodgson, T. J. and Muller, H. and O'Grady, P. J., "Kanban Controlled Pull Systems: An Analytic Approach," Management Science, 35, 9 (1989), pp. 1079-1091.

  7. Jordan, S., "Analysis and Approximation of a JIT Production Line," Decision Sciences, 19 (1988), pp. 672-681.

  8. Jothishankar, M. C. and Wang H.P., "Determination of Optimal Number of Kanbans Using Stochastic Petri Nets," J. of Manufacturing Systems, 11, 6 (1993), pp. 449-461.

  9. Kim, T.M., "Just-in-Time Manufacturing System: A Periodic Pull System," Int. J. of Prod. Res., 23, 3 (1985), pp. 553-562.

  10. Li, A. and Co, H. C., "A Dynamic Programming Model for the Kanban Assignment Problem in a Multistage Multiperiod Production System," Int. J. of Prod. Res., 29, 1 (1991), pp. 1-16.

  11. Mitra, D. and Mitrani, I., "Analysis of a Kanban Discipline for Cell Coordination in Production Lines. I," Management Science, 36, 12 (1990), pp. 1549-1566.

  12. Mitra, D. and Mitrani, I., "Analysis of a Kanban Discipline for Cell Coordination in Production Lines. II: Stochastic Demands," Operations Research, 39, 5 (1991), pp. 807-823.

  13. Miyazaki, S., Ohta, H. and Nishiyama, N., "The Optimal Operating of Kanban to Minimize the Total Operation Cost," Int. J. of Prod. Res., 26, 10 (1988), pp. 1605-1611.

  14. Philipoom, P. R., Rees, L. P., Taylor, III, B. W., and Huang, P. Y., "An Investigation of the Factors Influencing the Number of Kanbans Required in the Implementation of the JIT Technique with Kanban," Int. J. Prod. Res., 25, 3 (1987), pp. 457-472.

  15. Philipoom, P. R., Rees, L. P., Taylor, III, B. W., and Huang, P. Y., "A Mathematical Programming Approach for Determining Workcentre Lotsizes in a Just-in-Time System with Signal Kanbans," Int. J. Prod. Res., 28, 1 (1990), pp. 1-15.

  16. Rees, L. P., Philipoom, P. R., Taylor, III, B. W., and Huang, P. Y., "Dynamically Adjusting the Number of Kanbans in a Just-in-time Production System Using Estimated Values of Leadtime," IIE Transactions, 19, 2 (1987), pp. 199-207.

  17. Roll, Y., Rosenblatt, M. J. and Kadosh, D., "Determining the Size of a Warehouse Container," Int. J. of Prod. Res., 27, 10 (1989), pp. 1693-1704.

  18. Salstrom, R. L., "Determining Bin Size and Number of Bins in a Just-in-Time Manufacturing System," Working Paper #9006, Department of Organization and Management, San Jose State University, 1990.

  19. So, K. C. and Pinault, S. C., "Allocating Buffer Storages in a Pull System," Int. J. of Prod. Res., 26, 12 (1988), pp. 1959-1980.

  20. Sugimori, Y., Kusunoki, K., Cho, F. and Uchikawa, S., "Toyota Production System and Kanban System Materialization of Just-in-Time and Respect for Human System," Int. J. of Prod. Res., 15, 6 (1977), pp. 553-564.

  21. Wang, H. and Wang H.P., "Determining the Number of Kanbans: A Step Toward Non-Stock Production," Int. J. of Prod. Res., 28, 11 (1990), pp. 2101-2115.

  22. Wang, H. and Wang H.P., "Optimum Number of Kanbans Between Two Adjacent Workstations in a JIT System," Int. J. of Prod. Economics, 32 (1991), pp. 179-188.

  23. Wang, H.-P., Zeng, L. and Jin, S., "Determination of the Number of Kanbans in JIT Systems: A Petri-Net Approach," Int. J. of Adv. Manufacturing Technology, 7 (1992), pp. 51-57.

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Mixed-Model Sequencing:

  1. Bard, J. F., Dar-El, E. and Shtub, A., "An Analytic Framework for Sequencing Mixed Model Assembly Lines," Int. J. of Prod. Res., 30, 1 (1992), pp. 35-48.

  2. Berkley, B. J., "Simulation Tests of FCFS and SPT Sequencing in Kanban Systems," Decision Sciences.

  3. Bruns, L. D. and Daganzo, C. F., "Assembly Line Job Sequencing Principles," Int. J. of Prod. Res. 25, 1 (1987), pp. 71-99.

  4. Cakir, A. and Inman, R. R., "Modified Goal Chasing for Products with Non-Zero/One Bills of Materials," Int. J. of Prod. Res., 31, 1 (1993), pp. 107-115.

  5. DarEl, E. M. and Cother, R. F., "Assembly Line Sequencing for Model Mix," Int. J. of Prod. Res., 13, 5 (1975), pp. 463-477.

  6. DarEl, E. M. and Nadivi, A., "A Mixed-Model Sequencing Application," Int. J. of Prod. Res., 19, 1 (1981), pp. 69-84.

  7. DarEl, E. M. and Rabinovitch, M., "Optimal Planning and Scheduling of Assembly Lines," Int. J. of Prod. Res., 26, 9 (1988), pp. 1433-1450.

  8. Ding, F. Y. and Cheng, L., "An Effective Mixed-Model Assembly Line Sequencing Heuristic for Just-in-Time Production Systems," J. of Operations Management, 11 (1993), pp. 45-50.

  9. ElTamimi, A. M., Suliman, S. M. and Williams, D. F., "A Simulation Study of Part Sequencing in a Flexible Assembly Cell," Int. J. of Prod. Res., 27, 10 (1989), pp. 1769-1793.

  10. Groeflin, H., Luss, H., Rosenwein, M. B., and Wahls, E. T., "Final Assembly Sequencing for Just-in-Time Manufacturing," Int. J. of Prod. Res., 27, 2 (1989), pp. 199-213.

  11. Hall, R. W., "Leveling the Scheduling," Zero Inventory Philosophy and Practices: APICS Seminar Proceedings, pp. 111-119.

  12. Inman, R. R. and Bulfin, R. L., "Sequencing JIT Mixed-Model Assembly Lines," Management Science, 37, 7 (1991), pp. 901-904.

  13. Inman, R. R. and Bulfin, R. L., "Quick and Dirty Sequencing for Mixed-Model Multi-Level JIT Systems," Int. J. of Prod. Res., 30, 9 (1992), pp. 2011-2018.

  14. Kubiak, W. and Sethi, S., "A Note on Level Schedules for Mixed-Model Assembly Lines in Just-in-Time Production Systems," Management Science, 37, 1 (1991), PP. 121-122.

  15. Lee, S. Y. and Kim, C. B., "A Study on MRP-Based JIT System," Proceedings of the 3rd Int. Conf. on Just in Time Manufacturing, (June 1988), pp. 211-220.

  16. Miltenburg, J., "Level Schedules for Mixed-Model Assembly Lines in JustinTime Production Systems," Management Science, 35, 2 (February 1989), pp. 192-207.

  17. Miltenburg, J., "A Theoretical Basis for Scheduling Mixed-Model Production Lines," Management Science, 35 (1989), pp. 192-207.

  18. Miltenburg, J. and Sinnamon, G., "Scheduling Mixed-Model MultiLevel Just-in-Time Production Systems," Int. J. of Prod. Res., 27, 9 (1989), pp. 1487-1509.

  19. Miltenburg, J. and Goldstein, T., "Developing Production Schedules with Balance Part Usage and Smooth Production Loads for Just-in-Time Production Systems," Naval Research Logistics, 38 (1991), pp. 893-910.

  20. Miltenburg, J. and Sinnamon, G., "Algorithms for Scheduling MultiLevel Just-in-Time Production Systems," IIE Transactions, 24, 2 (1992), pp. 121-130.

  21. Okamura, K. and Yamashina, H., "A Heuristic Algorithm for the Assembly Line Model-Mix Sequencing Problem to Minimize the Risk of Stopping the Conveyer," Int. J. of Prod. Res., 17,3 (1979), pp. 233-247.

  22. Pleschberger, T. E. and Hitomi, K,, "Flexible Final-Assembly Sequencing Method for a JIT Manufacturing Environment," Int. J. Prod. Res., 31, 5 (1993), pp. 1189-1199.

  23. Steiner, G. and Yeomans, S., "Level Schedules for Mixed-Model, Just-in-Time Processes," Management Science, 39, 6 (June 1993), pp. 728-735.

  24. Sumichrast, R. T. and Russell, R. S., "Evaluating Mixed-Model Assembly Line Sequencing Heuristics for Just-in-Time Production systems," J. of Operations Management, 9, 3 (1990), pp. 371-390.

  25. Sumichrast, R. T., Russell, R. S. and Taylor, III, B. W., "A Comparative Analysis of Sequencing Procedures for Mixed-Model Assembly Lines in a Just-in-Time Production System," Int. J. of Prod. Res., 30, 1 (1992), pp. 199-214.

  26. Yano, C. A. and Rachamadugu, R., "Sequencing to Minimize Work Overload in Assembly Lines with Product Options," Management Science, 37, 5 (May 1991), pp. 572-586.

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Miscellaneous:

  1. Carlson, J. G., "Improvement Curve Analysis of Changeovers in JIT Environments," Eng. Costs and Prod. Econ., 12 (1987), pp. 259-266.

  2. Hahn, C. K., Bragg, D. J. and Shin, D., "Impact of the Setup Variable on Capacity and Inventory Decisions," Academy of Management Review, 13, 1 (1988), pp. 91-103.

  3. Luss, H. and Rosenwein, M. B., "A Lot-Sizing Model for Just-in-Time Manufacturing," J. of Opl. Res. Soc., 41, 3 (1990), pp. 201-209.

  4. Lulu, M., "JustinTime (JIT) Production and Process Unreliability," Proceedings of the 19th Annual Simulation Symposium, Tampa, Florida, (1986), pp. 237-249.

  5. Lulu, M. and Black, J. T., "Just-in-Time (JIT) Production and Process Cycle Time Variability," Proceedings of the 20th Annual Simulation Symposium, Tampa, Florida, (1987), pp. 215-229.

  6. Occena, L. G. and Yokota, T., "Modeling of an Automated Guided Vehicle System (AGVS) in a Just-in-Time (JIT) Environment," Int. J. of Prod. Res., 29, 3 (1991), pp. 495-511.

  7. Trevino, J., Hurley, B. J. and Friedrich, W., "A Mathematical Model for the Economic Justification of Setup Time Reduction," Int. J. of Prod. Res., 31, 1 (1993), pp. 191-202.

  8. Willis, T. H. and Huston, C. R., "Vendor Requirements and Evaluation in a Just-in-Time Environment," Int. J. of Operations and Production Management, 10, 4), pp. 41-50.

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