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An optimal solution technique to the single-vendor multi-buyer integrated inventory supply chain by incorporating some realistic factors

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  • Hoque, M.A.

Abstract

This paper develops two generalized integrated inventory models to deliver a single product from a vendor to multiple buyers. To minimize the total cost of set up, ordering, inventory holding and transportation, the production flow is synchronized by transferring the lot with equal and/or unequal (either all are equal or all are unequal or a combination of equal and unequal) sized batches (sub-lots), each of which incurs a transportation cost. For easy implementation of the models, we relax some unrealistic assumptions in the existing models such as unlimited capacities of the transport equipment and buyers' storage, insignificant set up and transportation times, unlimited lead time and batch sizes. A common optimal solution technique to the models is derived and their performances are analyzed. Potential significances of the solution method are highlighted with solutions of some numerical problems. The importance of the relaxed factors and limitation of the models are discussed.

Suggested Citation

  • Hoque, M.A., 2011. "An optimal solution technique to the single-vendor multi-buyer integrated inventory supply chain by incorporating some realistic factors," European Journal of Operational Research, Elsevier, vol. 215(1), pages 80-88, November.
  • Handle: RePEc:eee:ejores:v:215:y:2011:i:1:p:80-88
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    References listed on IDEAS

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    1. Goyal, Suresh K. & Gupta, Yash P., 1989. "Integrated inventory models: The buyer-vendor coordination," European Journal of Operational Research, Elsevier, vol. 41(3), pages 261-269, August.
    2. Geng, Wei & Qiu, Minmin & Zhao, Xiaobo, 2010. "An inventory system with single distributor and multiple retailers: Operating scenarios and performance comparison," International Journal of Production Economics, Elsevier, vol. 128(1), pages 434-444, November.
    3. Lode Li & Hongtao Zhang, 2008. "Confidentiality and Information Sharing in Supply Chain Coordination," Management Science, INFORMS, vol. 54(8), pages 1467-1481, August.
    4. Zavanella, Lucio & Zanoni, Simone, 2009. "A one-vendor multi-buyer integrated production-inventory model: The 'Consignment Stock' case," International Journal of Production Economics, Elsevier, vol. 118(1), pages 225-232, March.
    5. Ben-Daya, M. & Hariga, M., 2004. "Integrated single vendor single buyer model with stochastic demand and variable lead time," International Journal of Production Economics, Elsevier, vol. 92(1), pages 75-80, November.
    6. Andrew Z. Szendrovits, 1976. "Note--On the Optimality of Sub-Batch Sizes for a Multi-Stage EPQ Model--A Rejoinder," Management Science, INFORMS, vol. 23(3), pages 334-338, November.
    7. S. K. Goyal, 1976. "Note--Note on "Manufacturing Cycle Time Determination for a Multi-Stage Economic Production Quantity Model"," Management Science, INFORMS, vol. 23(3), pages 332-333, November.
    8. Almehdawe, Eman & Mantin, Benny, 2010. "Vendor managed inventory with a capacitated manufacturer and multiple retailers: Retailer versus manufacturer leadership," International Journal of Production Economics, Elsevier, vol. 128(1), pages 292-302, November.
    9. Hoque, M.A., 2008. "Synchronization in the single-manufacturer multi-buyer integrated inventory supply chain," European Journal of Operational Research, Elsevier, vol. 188(3), pages 811-825, August.
    10. Boute, Robert N. & Disney, Stephen M. & Lambrecht, Marc R. & Van Houdt, Benny, 2007. "An integrated production and inventory model to dampen upstream demand variability in the supply chain," European Journal of Operational Research, Elsevier, vol. 178(1), pages 121-142, April.
    11. Hoque, Mohammad A. & Goyal, Suresh K., 2006. "A heuristic solution procedure for an integrated inventory system under controllable lead-time with equal or unequal sized batch shipments between a vendor and a buyer," International Journal of Production Economics, Elsevier, vol. 102(2), pages 217-225, August.
    12. Fernando Bernstein & Fangruo Chen & Awi Federgruen, 2006. "Coordinating Supply Chains with Simple Pricing Schemes: The Role of Vendor-Managed Inventories," Management Science, INFORMS, vol. 52(10), pages 1483-1492, October.
    13. Goyal, S. K. & Szendrovits, A. Z., 1986. "A constant lot size model with equal and unequal sized batch shipments between production stages," Engineering Costs and Production Economics, Elsevier, vol. 10(3), pages 203-210, March.
    14. Hoque, M. A. & Kingsman, B. G., 1995. "An optimal solution algorithm for the constant lot-size model with equal and unequal sized batch shipments for the single product multi-stage production system," International Journal of Production Economics, Elsevier, vol. 42(2), pages 161-174, December.
    15. Duan, Yongrui & Luo, Jianwen & Huo, Jiazhen, 2010. "Buyer-vendor inventory coordination with quantity discount incentive for fixed lifetime product," International Journal of Production Economics, Elsevier, vol. 128(1), pages 351-357, November.
    16. Thomas, Douglas J. & Griffin, Paul M., 1996. "Coordinated supply chain management," European Journal of Operational Research, Elsevier, vol. 94(1), pages 1-15, October.
    17. Mohammad K. El-Najdawi & Paul R. Kleindorfer, 1993. "Common Cycle Lot-Size Scheduling for Multi-Product, Multi-Stage Production," Management Science, INFORMS, vol. 39(7), pages 872-885, July.
    18. Szendrovits, Andrew Z & Drezner, ZVI, 1980. "Optimizing multi-stage production with constant lot size and varying numbers of batches," Omega, Elsevier, vol. 8(6), pages 623-629.
    19. Darwish, M.A. & Odah, O.M., 2010. "Vendor managed inventory model for single-vendor multi-retailer supply chains," European Journal of Operational Research, Elsevier, vol. 204(3), pages 473-484, August.
    20. Andrew Z. Szendrovits, 1975. "Manufacturing Cycle Time Determination for a Multi-Stage Economic Production Quantity Model," Management Science, INFORMS, vol. 22(3), pages 298-308, November.
    21. Mustafa Çagri Gürbüz & Kamran Moinzadeh & Yong-Pin Zhou, 2007. "Coordinated Replenishment Strategies in Inventory/Distribution Systems," Management Science, INFORMS, vol. 53(2), pages 293-307, February.
    22. Hoque, M.A. & Kingsman, B.G., 2006. "Synchronization in common cycle lot size scheduling for a multi-product serial supply chain," International Journal of Production Economics, Elsevier, vol. 103(1), pages 316-331, September.
    23. Hill, Roger M., 1997. "The single-vendor single-buyer integrated production-inventory model with a generalised policy," European Journal of Operational Research, Elsevier, vol. 97(3), pages 493-499, March.
    24. Hoque, M.A., 2011. "Generalized single-vendor multi-buyer integrated inventory supply chain models with a better synchronization," International Journal of Production Economics, Elsevier, vol. 131(2), pages 463-472, June.
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    Cited by:

    1. Bai, Qingguo & Chen, Mingyuan & Xu, Lei, 2017. "Revenue and promotional cost-sharing contract versus two-part tariff contract in coordinating sustainable supply chain systems with deteriorating items," International Journal of Production Economics, Elsevier, vol. 187(C), pages 85-101.
    2. repec:spr:opsear:v:54:y:2017:i:4:d:10.1007_s12597-017-0309-6 is not listed on IDEAS
    3. Wu, Kan & Yuan, Xue-Ming, 2016. "Optimal production-inventory policy for an integrated multi-stage supply chain with time-varying demandAuthor-Name: Zhao, Shi Tao," European Journal of Operational Research, Elsevier, vol. 255(2), pages 364-379.
    4. Juman, Z.A.M.S. & Hoque, M.A., 2014. "A heuristic solution technique to attain the minimal total cost bounds of transporting a homogeneous product with varying demands and supplies," European Journal of Operational Research, Elsevier, vol. 239(1), pages 146-156.

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