How to cite this paper
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.
Refrences
Alabas, C., Altiparmak, F., & Dengiz, B. (2002). A comparison of the performance of artificial intelligence techniques for optimizing the number of Kanbans. Journal of the Operational Research Society, 53(8), 907-914.
Albino, V., Dassisti, M., & O Okogbaa, G. (1995). Approximation approach for the performance analysis of production lines under a kanban discipline. International journal of production economics, 40(2), 197-207.
Bitran, G. R., & Chang, L. (1987). A mathematical programming approach to a deterministic kanban system. Management Science, 33(4), 427-441.
Berkley, B. J. (1992). A review of the kanban production control research literature. Production and Operations Management, 1(4), 393-411.
Brox, J. A., & Fader, C. (2002). The set of just-in-time management strategies: an assessment of their impact on plant-level productivity and input-factor substitutability using variable cost function estimates. International Journal of Production Research, 40(12), 2705-2720.
Brucker, P., Heitmann, S., & Hurink, J. (2003). Flow-shop problems with intermediate buffers. OR Spectrum, 25(4), 549-574.
Co Henry, C., & Sharafali, M. (1997). Overlapping factor in Toyota’s formula for computing the number of Kanbans. IIE Trans, 29(5), 409-415.
David, I., & Eben-Chaime, M. (2003). How far should JIT vendor–buyer relationships go?. International Journal of Production Economics, 81, 361-368.
Davis, W. J., & STUBITZ, S. J. (1987). Configuring a kanban system using a discrete optimization of multiple stochastic responses. International Journal of Production Research, 25(5), 721-740.
De Smet, R., & Gelders, L. (1998). Using simulation to evaluate the introduction of a Kanban subsystem within an MRP-controlled manufacturing environment.International journal of production economics, 56, 111-122.
Deleersnyder, J. L., Hodgson, T. J., Muller-Malek, H., & O & apos; Grady, P. J. (1989). Kanban controlled pull systems: an analytic approach. Management Science,35(9), 1079-1091.
Drexl, A., & Kimms, A. (2001). Sequencing JIT mixed-model assembly lines under station-load and part-usage constraints. Management Science, 47(3), 480-491.
Finch, B. (1986). Japanese management techniques in small manufacturing companies: a strategy for implementation. Production and inventory management, 27(3), 30-38.
Flynn, B. B., Sakakibara, S., & Schroeder, R. G. (1995). Relationship between JIT and TQM: practices and performance. Academy of management Journal,38(5), 1325-1360.
Fullerton, R. R., & McWatters, C. S. (2002). The role of performance measures and incentive systems in relation to the degree of JIT implementation. Accounting, Organizations and Society, 27(8), 711-735.
Golhar, D. Y., & Stamm, C. L. (1991). The just-in-time philosophy: a literature review. The International Journal of Production Research, 29(4), 657-676.
Hemamalini, B., & Rajendran, C. (2000). Determination of the number of containers, production Kanbans and withdrawal Kanbans; and scheduling in kanban flowshops-Part 2. International Journal of Production Research, 38(11), 2549-2572.
Herer, Y. T., & Shalom, L. (2000). The Kanban assignment problem–A non-integral approach. European Journal of Operational Research, 120(2), 260-276.
Huang, P. Y., & Houck, B. L.W. (1985). Cellular manufacturing: An overview and bibliography. Production and Inventory Management, 26, 83-93
Huang, P. Y., Rees, L. P., & Taylor, B. W. (1983) A simulation analysis of Japanese Just In Time technique with Kanban for multi line multi stage production system. Decision Sciences, 14(3), 326-344.
Hurrion, R. D. (1997). An example of simulation optimisation using a neural network metamodel: finding the optimum number of Kanbans in a manufacturing system. Journal of the Operational Research Society, 48(11), 1105-1112.
Karmarkar, U. S., & Kekre, S. (1989). Batching policy in kanban systems. Journal of Manufacturing Systems, 8(4), 317-328.
Khan, L. R., & Sarker, R. A. (2002). An optimal batch size for a JIT manufacturing system. Computers & Industrial Engineering, 42(2), 127-136.
Kimura, O., & Terada, H. (1981). Desi?n and analysis of Pull System, a method of multi-sta?e production control. The International Journal Of Production Research, 19(3), 241-253.
Krieg, G. N., & Kuhn, H. (2002). A decomposition method for multi-product kanban systems with setup times and lost sales. IIE Transactions, 34(7), 613-625.
Lai, C. L., Lee, W. B., & Ip, W. H. (2003). A study of system dynamics in just-in-time logistics. Journal of Materials Processing Technology, 138(1), 265-269.
Markham, I. S., Mathieu, R. G., & Wray, B. A. (1998). A rule induction approach for determining the number of Kanbans in a just-in-time production system. Computers & industrial engineering, 34(4), 717-727.
Minner, S. (2003). Multiple-supplier inventory models in supply chain management: A review. International Journal of Production Economics, 81, 265-279.
Monden, Y. (1983). Toyota production system: practical approach to production management (pp. p-59). Norcross, GA: Industrial Engineering and Management Press, Institute of Industrial Engineers.
Nori, V. S., & Sarker, B. R. (1998). Optimum number of Kanbans between two adjacent stations. Production Planning & Control, 9(1), 60-65.
Ohno, K., Nakashima, K., & Kojima, M. (1995). Optimal numbers of two kinds of Kanbans in a JIT production system. International Journal of Production Research, 33(5), 1387–1401
Ovalle, O. R., & Marquez, A. C. (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.
Panneerselvam, R. (2012). Production and operations management. PHI Learning Pvt. Ltd.
Philipoom, P. R., Rees, L. P., TAYLOR III, B. W., & Huang, P. Y. (1987). An investigation of the factors influencing the number of Kanbans required in the implementation of the JIT technique with Kanbans. International Journal of Production Research, 25(3), 457-472.
Rajendran, C. (1999). Formations and heuristics for scheduling in kanban flow shop to minimize the sum of weighted flowtime, weighted tardiness and weighted earliness of containers. International Journal of Production Research, 37(5), 1137–1158
Sarker, B. R., & Balan, C. V. (1996). Operations planning for Kanbans between two adjacent workstations. Computers & industrial engineering, 31(1), 221-224.
Sarker, B. R., & Balan, C. V. (1999). Operations planning for a multi-stage kanban system. European Journal of Operational Research, 112(2), 284-303.
Savsar, M., & Al-Jawini, A. (1995). Simulation analysis of just-in-time production systems. International Journal of Production Economics, 42(1), 67-78.
Sharadapriyadarshini, B., & Rajendran, C. (1997). Heuristics for scheduling in a Kanban system with dual blocking mechanisms. European journal of operational research, 103(3), 439-452.
Sohal, A. S., Keller, A. Z., & Fouad, R. H. (1988). A review of literature relating to lIT. International Journal of Operations and Production Management (UK), 9, 15-25.
Spearman, M. L., Woodruff, D. L., & Hopp, W. J. (1990). CONWIP: a pull alternative to kanban. The International Journal of Production Research. 28(5), 879-894.
So, K. C. (1997). Optimal buffer allocation strategy for minimizing work-in-process inventory in unpaced production lines. IIE transactions, 29(1), 81-88.
Sugimori, Y., Kusunoki, K., Cho, F., & Uchikawa, S. (1977). Toyota production system and kanban system materialization of just-in-time and respect-for-human system. The International Journal of Production Research, 15(6), 553-564.
Takahashi, K., & Nakamura, N. (2002). Decentralized reactive Kanban system. European Journal of Operational Research, 139(2), 262-276.
Tardif, V., & Maaseidvaag, L. (2001). An adaptive approach to controlling kanban systems. European Journal of Operational Research, 132(2), 411-424.
Tayfur A., & Goang, A. S. (2000) Pull type manufacturing system with multiple product types. IIE Trans, 32, 115–124.
Treleven, M. (1989). A review of the dual resource constrained system research. IIE Transactions, 21(3), 279-287.
Vergara, F. E., Khouja, M., & Michalewicz, Z. (2002). An evolutionary algorithm for optimizing material flow in supply chains. Computers & Industrial Engineering, 43(3), 407-421.
Villeda, R., Dudek, R., & Smith, M. L. (1988). Increasing the production rate of a just-in-time production system with variable operation times. The International Journal Of Production Research, 26(11), 1749-1768.
Voss, C. A., & Robinson, S. J. (1987). Application of just-in-time manufacturing techniques in the United Kingdom. International Journal of Operations & Production Management, 7(4), 46-52.
Woolsey, R. E., Bowden, R. O., Hall, J. D., & Hadley, W. H. (1999). A closed-form solution to a kanban sizing problem. Production and Inventory Management Journal, 40, 1-3.
Xiaobo, Z., & Ohno, K. (1997). Algorithms for sequencing mixed models on an assembly line in a JIT production system. Computers & Industrial Engineering,32(1), 47-56.
Yang, K.K. (2000) Managing a flow line with single-Kanban, dual-Kanban or Conwip. Production and Operations Management, 9(4), 349-366.
Yavuz, I. H., & Satir, A. (1995). A kanban-based simulation study of a mixed model just-in-time manufacturing line. International Journal of Production Research, 33(4), 1027–1048
Yoichi, S., & Naoto, H. (1999). Transient behavior of single stage kanban system based on the queuing model. International Journal of Production Economics, 60-61, 369–374.
Albino, V., Dassisti, M., & O Okogbaa, G. (1995). Approximation approach for the performance analysis of production lines under a kanban discipline. International journal of production economics, 40(2), 197-207.
Bitran, G. R., & Chang, L. (1987). A mathematical programming approach to a deterministic kanban system. Management Science, 33(4), 427-441.
Berkley, B. J. (1992). A review of the kanban production control research literature. Production and Operations Management, 1(4), 393-411.
Brox, J. A., & Fader, C. (2002). The set of just-in-time management strategies: an assessment of their impact on plant-level productivity and input-factor substitutability using variable cost function estimates. International Journal of Production Research, 40(12), 2705-2720.
Brucker, P., Heitmann, S., & Hurink, J. (2003). Flow-shop problems with intermediate buffers. OR Spectrum, 25(4), 549-574.
Co Henry, C., & Sharafali, M. (1997). Overlapping factor in Toyota’s formula for computing the number of Kanbans. IIE Trans, 29(5), 409-415.
David, I., & Eben-Chaime, M. (2003). How far should JIT vendor–buyer relationships go?. International Journal of Production Economics, 81, 361-368.
Davis, W. J., & STUBITZ, S. J. (1987). Configuring a kanban system using a discrete optimization of multiple stochastic responses. International Journal of Production Research, 25(5), 721-740.
De Smet, R., & Gelders, L. (1998). Using simulation to evaluate the introduction of a Kanban subsystem within an MRP-controlled manufacturing environment.International journal of production economics, 56, 111-122.
Deleersnyder, J. L., Hodgson, T. J., Muller-Malek, H., & O & apos; Grady, P. J. (1989). Kanban controlled pull systems: an analytic approach. Management Science,35(9), 1079-1091.
Drexl, A., & Kimms, A. (2001). Sequencing JIT mixed-model assembly lines under station-load and part-usage constraints. Management Science, 47(3), 480-491.
Finch, B. (1986). Japanese management techniques in small manufacturing companies: a strategy for implementation. Production and inventory management, 27(3), 30-38.
Flynn, B. B., Sakakibara, S., & Schroeder, R. G. (1995). Relationship between JIT and TQM: practices and performance. Academy of management Journal,38(5), 1325-1360.
Fullerton, R. R., & McWatters, C. S. (2002). The role of performance measures and incentive systems in relation to the degree of JIT implementation. Accounting, Organizations and Society, 27(8), 711-735.
Golhar, D. Y., & Stamm, C. L. (1991). The just-in-time philosophy: a literature review. The International Journal of Production Research, 29(4), 657-676.
Hemamalini, B., & Rajendran, C. (2000). Determination of the number of containers, production Kanbans and withdrawal Kanbans; and scheduling in kanban flowshops-Part 2. International Journal of Production Research, 38(11), 2549-2572.
Herer, Y. T., & Shalom, L. (2000). The Kanban assignment problem–A non-integral approach. European Journal of Operational Research, 120(2), 260-276.
Huang, P. Y., & Houck, B. L.W. (1985). Cellular manufacturing: An overview and bibliography. Production and Inventory Management, 26, 83-93
Huang, P. Y., Rees, L. P., & Taylor, B. W. (1983) A simulation analysis of Japanese Just In Time technique with Kanban for multi line multi stage production system. Decision Sciences, 14(3), 326-344.
Hurrion, R. D. (1997). An example of simulation optimisation using a neural network metamodel: finding the optimum number of Kanbans in a manufacturing system. Journal of the Operational Research Society, 48(11), 1105-1112.
Karmarkar, U. S., & Kekre, S. (1989). Batching policy in kanban systems. Journal of Manufacturing Systems, 8(4), 317-328.
Khan, L. R., & Sarker, R. A. (2002). An optimal batch size for a JIT manufacturing system. Computers & Industrial Engineering, 42(2), 127-136.
Kimura, O., & Terada, H. (1981). Desi?n and analysis of Pull System, a method of multi-sta?e production control. The International Journal Of Production Research, 19(3), 241-253.
Krieg, G. N., & Kuhn, H. (2002). A decomposition method for multi-product kanban systems with setup times and lost sales. IIE Transactions, 34(7), 613-625.
Lai, C. L., Lee, W. B., & Ip, W. H. (2003). A study of system dynamics in just-in-time logistics. Journal of Materials Processing Technology, 138(1), 265-269.
Markham, I. S., Mathieu, R. G., & Wray, B. A. (1998). A rule induction approach for determining the number of Kanbans in a just-in-time production system. Computers & industrial engineering, 34(4), 717-727.
Minner, S. (2003). Multiple-supplier inventory models in supply chain management: A review. International Journal of Production Economics, 81, 265-279.
Monden, Y. (1983). Toyota production system: practical approach to production management (pp. p-59). Norcross, GA: Industrial Engineering and Management Press, Institute of Industrial Engineers.
Nori, V. S., & Sarker, B. R. (1998). Optimum number of Kanbans between two adjacent stations. Production Planning & Control, 9(1), 60-65.
Ohno, K., Nakashima, K., & Kojima, M. (1995). Optimal numbers of two kinds of Kanbans in a JIT production system. International Journal of Production Research, 33(5), 1387–1401
Ovalle, O. R., & Marquez, A. C. (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.
Panneerselvam, R. (2012). Production and operations management. PHI Learning Pvt. Ltd.
Philipoom, P. R., Rees, L. P., TAYLOR III, B. W., & Huang, P. Y. (1987). An investigation of the factors influencing the number of Kanbans required in the implementation of the JIT technique with Kanbans. International Journal of Production Research, 25(3), 457-472.
Rajendran, C. (1999). Formations and heuristics for scheduling in kanban flow shop to minimize the sum of weighted flowtime, weighted tardiness and weighted earliness of containers. International Journal of Production Research, 37(5), 1137–1158
Sarker, B. R., & Balan, C. V. (1996). Operations planning for Kanbans between two adjacent workstations. Computers & industrial engineering, 31(1), 221-224.
Sarker, B. R., & Balan, C. V. (1999). Operations planning for a multi-stage kanban system. European Journal of Operational Research, 112(2), 284-303.
Savsar, M., & Al-Jawini, A. (1995). Simulation analysis of just-in-time production systems. International Journal of Production Economics, 42(1), 67-78.
Sharadapriyadarshini, B., & Rajendran, C. (1997). Heuristics for scheduling in a Kanban system with dual blocking mechanisms. European journal of operational research, 103(3), 439-452.
Sohal, A. S., Keller, A. Z., & Fouad, R. H. (1988). A review of literature relating to lIT. International Journal of Operations and Production Management (UK), 9, 15-25.
Spearman, M. L., Woodruff, D. L., & Hopp, W. J. (1990). CONWIP: a pull alternative to kanban. The International Journal of Production Research. 28(5), 879-894.
So, K. C. (1997). Optimal buffer allocation strategy for minimizing work-in-process inventory in unpaced production lines. IIE transactions, 29(1), 81-88.
Sugimori, Y., Kusunoki, K., Cho, F., & Uchikawa, S. (1977). Toyota production system and kanban system materialization of just-in-time and respect-for-human system. The International Journal of Production Research, 15(6), 553-564.
Takahashi, K., & Nakamura, N. (2002). Decentralized reactive Kanban system. European Journal of Operational Research, 139(2), 262-276.
Tardif, V., & Maaseidvaag, L. (2001). An adaptive approach to controlling kanban systems. European Journal of Operational Research, 132(2), 411-424.
Tayfur A., & Goang, A. S. (2000) Pull type manufacturing system with multiple product types. IIE Trans, 32, 115–124.
Treleven, M. (1989). A review of the dual resource constrained system research. IIE Transactions, 21(3), 279-287.
Vergara, F. E., Khouja, M., & Michalewicz, Z. (2002). An evolutionary algorithm for optimizing material flow in supply chains. Computers & Industrial Engineering, 43(3), 407-421.
Villeda, R., Dudek, R., & Smith, M. L. (1988). Increasing the production rate of a just-in-time production system with variable operation times. The International Journal Of Production Research, 26(11), 1749-1768.
Voss, C. A., & Robinson, S. J. (1987). Application of just-in-time manufacturing techniques in the United Kingdom. International Journal of Operations & Production Management, 7(4), 46-52.
Woolsey, R. E., Bowden, R. O., Hall, J. D., & Hadley, W. H. (1999). A closed-form solution to a kanban sizing problem. Production and Inventory Management Journal, 40, 1-3.
Xiaobo, Z., & Ohno, K. (1997). Algorithms for sequencing mixed models on an assembly line in a JIT production system. Computers & Industrial Engineering,32(1), 47-56.
Yang, K.K. (2000) Managing a flow line with single-Kanban, dual-Kanban or Conwip. Production and Operations Management, 9(4), 349-366.
Yavuz, I. H., & Satir, A. (1995). A kanban-based simulation study of a mixed model just-in-time manufacturing line. International Journal of Production Research, 33(4), 1027–1048
Yoichi, S., & Naoto, H. (1999). Transient behavior of single stage kanban system based on the queuing model. International Journal of Production Economics, 60-61, 369–374.