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Integrated inventory model with uniform demand for one vendor one customer

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Listed:
  • Sraboni Mandal
  • Danish Ali Khan

Abstract

This article investigates the problems in inventory system and develops a model, integrated vendor-customer inventory policy for items with imperfect quality also with inspection errors and shortage cost. Quantity of delivered items to the customer is identical at each shipment. Production process is imperfect and it may produce certain number of defective items. Screening process is conducted at the customer's end, but the inspector may incorrectly classify a non-defective item as defective or incorrectly classify a defective item as non-defective. Integrated total cost of the vendor and the customer is calculated to provide the optimal solution. Each lot contains a variable number of defective items and completely backordered, shortages are permitted. The objective is to minimise the total costs. An impressive cost reduction is shown through integrated model in comparison to an independent decision, with the help of numerical examples.

Suggested Citation

  • Sraboni Mandal & Danish Ali Khan, 2015. "Integrated inventory model with uniform demand for one vendor one customer," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 7(1), pages 36-52.
    • Handle: RePEc:ids:ijbpsc:v:7:y:2015:i:1:p:36-52
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    References listed on IDEAS

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    1. Salameh, M. K. & Jaber, M. Y., 2000. "Economic production quantity model for items with imperfect quality," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 59-64, March.
    2. Lo, Sh-Tyan & Wee, Hui-Ming & Huang, Wen-Chang, 2007. "An integrated production-inventory model with imperfect production processes and Weibull distribution deterioration under inflation," International Journal of Production Economics, Elsevier, vol. 106(2), pages 493-505, April.
    3. Huang, Chao-Kuei & Tsai, Deng-Maw & Wu, Ji-Cheng & Chung, Kun-Jen, 2010. "An optimal integrated vendor-buyer inventory policy under conditions of order-processing time reduction and permissible delay in payments," International Journal of Production Economics, Elsevier, vol. 128(1), pages 445-451, November.
    4. Chang, Hung-Chi & Ouyang, Liang-Yuh & Wu, Kun-Shan & Ho, Chia-Huei, 2006. "Integrated vendor-buyer cooperative inventory models with controllable lead time and ordering cost reduction," European Journal of Operational Research, Elsevier, vol. 170(2), pages 481-495, April.
    5. Lu, Lu, 1995. "A one-vendor multi-buyer integrated inventory model," European Journal of Operational Research, Elsevier, vol. 81(2), pages 312-323, March.
    6. Maddah, Bacel & Jaber, Mohamad Y., 2008. "Economic order quantity for items with imperfect quality: Revisited," International Journal of Production Economics, Elsevier, vol. 112(2), pages 808-815, April.
    7. Yoo, Seung Ho & Kim, DaeSoo & Park, Myung-Sub, 2009. "Economic production quantity model with imperfect-quality items, two-way imperfect inspection and sales return," International Journal of Production Economics, Elsevier, vol. 121(1), pages 255-265, September.
    8. Cao, Mei & Zhang, Qingyu, 2010. "Supply chain collaborative advantage: A firm's perspective," International Journal of Production Economics, Elsevier, vol. 128(1), pages 358-367, November.
    9. Goyal, Suresh Kumar & Cardenas-Barron, Leopoldo Eduardo, 2002. "Note on: Economic production quantity model for items with imperfect quality - a practical approach," International Journal of Production Economics, Elsevier, vol. 77(1), pages 85-87, May.
    10. Evan L. Porteus, 1986. "Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction," Operations Research, INFORMS, vol. 34(1), pages 137-144, February.
    11. Lo, Sh-Tyan & Wee, Hui-Ming & Huang, Wen-Chang, 2007. "An integrated production-inventory model with imperfect production processes and Weibull distribution deterioration under inflation," International Journal of Production Economics, Elsevier, vol. 106(1), pages 248-260, March.
    12. D.K. Shaw & D.A. Khan, 2012. "Optimal inventory policies of facilities in a supply chain system under fuzzy stochastic environment," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 4(2), pages 111-125.
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