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A method to enhance volume flexibility in JIT production control

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  • Moattar Husseini, S.M.
  • O'Brien, C.
  • Hosseini, S.T.

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  • Moattar Husseini, S.M. & O'Brien, C. & Hosseini, S.T., 2006. "A method to enhance volume flexibility in JIT production control," International Journal of Production Economics, Elsevier, vol. 104(2), pages 653-665, December.
  • Handle: RePEc:eee:proeco:v:104:y:2006:i:2:p:653-665
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    References listed on IDEAS

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    1. Takahashi, Katsuhiko & Morikawa, Katsumi & Nakamura, Nobuto, 2004. "Reactive JIT ordering system for changes in the mean and variance of demand," International Journal of Production Economics, Elsevier, vol. 92(2), pages 181-196, November.
    2. Gabriel R. Bitran & Li Chang, 1987. "A Mathematical Programming Approach to a Deterministic Kanban System," Management Science, INFORMS, vol. 33(4), pages 427-441, April.
    3. Rho, Boo-Ho & Park, Kwangtae & Yu, Yung-Mok, 2001. "An international comparison of the effect of manufacturing strategy-implementation gap on business performance," International Journal of Production Economics, Elsevier, vol. 70(1), pages 89-97, March.
    4. Gupta, Yash P. & Somers, Toni M., 1992. "The measurement of manufacturing flexibility," European Journal of Operational Research, Elsevier, vol. 60(2), pages 166-182, July.
    5. Donald Gerwin, 1993. "Manufacturing Flexibility: A Strategic Perspective," Management Science, INFORMS, vol. 39(4), pages 395-410, April.
    6. Zapfel, Gunther, 1998. "Customer-order-driven production: An economical concept for responding to demand uncertainty?," International Journal of Production Economics, Elsevier, vol. 56(1), pages 699-709, September.
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    Cited by:

    1. Anh Chi Phan & Ha Thu Nguyen & Hao Anh Nguyen & Yoshiki Matsui, 2019. "Effect of Total Quality Management Practices and JIT Production Practices on Flexibility Performance: Empirical Evidence from International Manufacturing Plants," Sustainability, MDPI, vol. 11(11), pages 1-21, May.
    2. Cattani, Kyle D. & Dahan, Ely & Schmidt, Glen M., 2008. "Tailored capacity: Speculative and reactive fabrication of fashion goods," International Journal of Production Economics, Elsevier, vol. 114(2), pages 416-430, August.
    3. Asefeh Hasani Goodarzi & Seyed Hessameddin Zegordi, 2020. "Vehicle routing problem in a kanban controlled supply chain system considering cross-docking strategy," Operational Research, Springer, vol. 20(4), pages 2397-2425, December.
    4. Luis Aguilera Enriquez & Octavio Hernandez Castorena & Oscar Perez Veyna, 2015. "RELATIONSHIP SUPPLY CHAIN MANAGEMENT AND INFORMATION TECHNOLOGY AND COMMUNICATION IN PRODUCTION PROCESSES TO IMPROVE COMPETITIVENESS OF MANUFACTURING SMEs IN AGUASCALIENTES,LA RELACION DE LA GESTION D," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, vol. 8(1), pages 79-91.
    5. Ziyang Li & Qianwei Ying & Wu Yan & Chenjun Fan, 2022. "Does just‐in‐time adoption have an impact on corporate innovation: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1599-1635, April.
    6. Liu, Yang & Zhang, Yufeng & Batista, Luciano & Rong, Ke, 2019. "Green operations: What's the role of supply chain flexibility?," International Journal of Production Economics, Elsevier, vol. 214(C), pages 30-43.
    7. A. K. Manna & B. Das & J. K. Dey & S. K. Mondal, 2018. "An EPQ model with promotional demand in random planning horizon: population varying genetic algorithm approach," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1515-1531, October.

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