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A vendor managed inventory supply chain with deteriorating raw materials and products

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  • Yu, Yugang
  • Wang, Zheng
  • Liang, Liang

Abstract

Fast deteriorating raw materials such as raw milk, fruit and vegetables are commonly used to produce slowly deteriorating finished products such as milk powders, cheeses, and pastas. This paper studies a Vendor Managed Inventory (VMI) type supply chain where the manufacturing vendor decides how to manage the system-wide inventories of its fast deteriorating raw material and its slowly deteriorating product. The decision variables are a common replenishment cycle of the product and the replenishment frequency of the raw material. We assume the deteriorating rates are known constants and every retailer's demand is deterministic. We develop an integrated model to calculate the total inventory and deterioration cost for such a system. We prove the convexity of the cost functions, and based on this a golden search algorithm is developed to find the optimal solution of the model. Our numerical results show that the deteriorating rate of the product may increase the total cost by more than 40% compared to the zero-deteriorating rate, while the deteriorating raw material has less impact on the total cost (commonly less than 5% in our numerical examples). This indicates that more attention should be paid to the product than the raw material. Further, an increase in the number of retailers can make the replenishment frequency of the raw material increase significantly but the common replenishment cycle of the product decreases a little. This indicates that adding a new retailer would not be felt strongly by the other retailers but would be felt by the supplier of the raw material.

Suggested Citation

  • Yu, Yugang & Wang, Zheng & Liang, Liang, 2012. "A vendor managed inventory supply chain with deteriorating raw materials and products," International Journal of Production Economics, Elsevier, vol. 136(2), pages 266-274.
  • Handle: RePEc:eee:proeco:v:136:y:2012:i:2:p:266-274
    DOI: 10.1016/j.ijpe.2011.11.029
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    References listed on IDEAS

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    1. Yu, Yugang & Huang, George Q., 2010. "Nash game model for optimizing market strategies, configuration of platform products in a Vendor Managed Inventory (VMI) supply chain for a product family," European Journal of Operational Research, Elsevier, vol. 206(2), pages 361-373, October.
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    5. Yu, Yugang & Chu, Feng & Chen, Haoxun, 2009. "A Stackelberg game and its improvement in a VMI system with a manufacturing vendor," European Journal of Operational Research, Elsevier, vol. 192(3), pages 929-948, February.
    6. Dong, Yan & Xu, Kefeng, 2002. "A supply chain model of vendor managed inventory," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(2), pages 75-95, April.
    7. De Toni, Alberto Felice & Zamolo, Elena, 2005. "From a traditional replenishment system to vendor-managed inventory: A case study from the household electrical appliances sector," International Journal of Production Economics, Elsevier, vol. 96(1), pages 63-79, April.
    8. He, Yong & Wang, Shou-Yang & Lai, K.K., 2010. "An optimal production-inventory model for deteriorating items with multiple-market demand," European Journal of Operational Research, Elsevier, vol. 203(3), pages 593-600, June.
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    Cited by:

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    3. Taleizadeh, Ata Allah & Noori-daryan, Mahsa & Cárdenas-Barrón, Leopoldo Eduardo, 2015. "Joint optimization of price, replenishment frequency, replenishment cycle and production rate in vendor managed inventory system with deteriorating items," International Journal of Production Economics, Elsevier, vol. 159(C), pages 285-295.
    4. Bai, Qingguo & Gong, Yeming (Yale) & Jin, Mingzhou & Xu, Xianhao, 2019. "Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory," International Journal of Production Economics, Elsevier, vol. 208(C), pages 83-99.
    5. Zhang, Jianxiong & Liu, Guowei & Zhang, Qiao & Bai, Zhenyu, 2015. "Coordinating a supply chain for deteriorating items with a revenue sharing and cooperative investment contract," Omega, Elsevier, vol. 56(C), pages 37-49.
    6. Soto-Silva, Wladimir E. & Nadal-Roig, Esteve & González-Araya, Marcela C. & Pla-Aragones, Lluis M., 2016. "Operational research models applied to the fresh fruit supply chain," European Journal of Operational Research, Elsevier, vol. 251(2), pages 345-355.
    7. Taleizadeh, Ata Allah & Shokr, Iman & Konstantaras, Ioannis & VafaeiNejad, Mahyar, 2020. "Stock replenishment policies for a vendor-managed inventory in a retailing system," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    8. Sudusinghe, Jayani Ishara & Seuring, Stefan, 2022. "Supply chain collaboration and sustainability performance in circular economy: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 245(C).
    9. Rad, Reza Hosseini & Razmi, Jafar & Sangari, Mohamad Sadegh & Ebrahimi, Zahra Fallah, 2014. "Optimizing an integrated vendor-managed inventory system for a single-vendor two-buyer supply chain with determining weighting factor for vendor׳s ordering cost," International Journal of Production Economics, Elsevier, vol. 153(C), pages 295-308.
    10. Roozbeh Nia, Ali & Hemmati Far, Mohammad & Akhavan Niaki, Seyed Taghi, 2014. "A fuzzy vendor managed inventory of multi-item economic order quantity model under shortage: An ant colony optimization algorithm," International Journal of Production Economics, Elsevier, vol. 155(C), pages 259-271.
    11. Vidović, Milorad & Popović, Dražen & Ratković, Branislava, 2014. "Mixed integer and heuristics model for the inventory routing problem in fuel delivery," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 593-604.
    12. Sadeghi, Javad & Mousavi, Seyed Mohsen & Niaki, Seyed Taghi Akhavan & Sadeghi, Saeid, 2014. "Optimizing a bi-objective inventory model of a three-echelon supply chain using a tuned hybrid bat algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 274-292.
    13. Ravi Shankar Kumar & M. K. Tiwari & A. Goswami, 2016. "Two-echelon fuzzy stochastic supply chain for the manufacturer–buyer integrated production–inventory system," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 875-888, August.
    14. Ghiami, Yousef & Williams, Terry, 2015. "A two-echelon production-inventory model for deteriorating items with multiple buyers," International Journal of Production Economics, Elsevier, vol. 159(C), pages 233-240.
    15. Fidel Torres & César García-Díaz, 2018. "Evolutionary dynamics of two-actor VMI-driven supply chains," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 351-377, September.
    16. Lee, Sunghee & Kim, Daeki, 2014. "An optimal policy for a single-vendor single-buyer integrated production–distribution model with both deteriorating and defective items," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 161-170.
    17. Hosang Jung & Sukjae Jeong, 2018. "The Economic Effect of Virtual Warehouse-Based Inventory Information Sharing for Sustainable Supplier Management," Sustainability, MDPI, vol. 10(5), pages 1-19, May.
    18. Mateen, Arqum & Chatterjee, Ashis K, 2015. "Vendor Managed Inventory System with Emission Related Costs," Working papers 185, Indian Institute of Management Kozhikode.
    19. Fauza, Gusti & Amer, Yousef & Lee, Sang-Heon & Prasetyo, Hari, 2016. "An integrated single-vendor multi-buyer production-inventory policy for food products incorporating quality degradation," International Journal of Production Economics, Elsevier, vol. 182(C), pages 409-417.

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