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Original Articles

Optimal shipment consolidation and dynamic pricing policies for perishable items

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Pages 719-735 | Received 10 Apr 2020, Accepted 10 Mar 2022, Published online: 13 Apr 2022

References

  • Abad, L. (2003). Optimal pricing and lot-sizing under conditions of perishability, finite production and partial backordering and lost sale. European Journal of Operational Research, 144(3), 677–685.
  • Agrawal, N., & Smith, A. (2013). Optimal inventory management for a retail chain with diverse store demands. European Journal of Operational Research, 225(3), 393–403.
  • Agrawal, N., & Smith, A. (2015). Multi-location inventory models for retail supply chain management. In Retail supply chain management (pp. 319–347). Springer.
  • Bitran, G., Caldentey, R., & Mondschein, S. (1998). Coordinating clearance markdown sales of seasonal products in retail chains. Operations Research, 46(5), 609–624.
  • Chang, C., Ouyang, L., Teng, J., Lai, K., & Cardenas-Barron, L. (2019). Manufacturer’s pricing and lot-sizing decisions for perishable goods under various payment terms by a discounted cash flow analysis. International Journal of Production Economics, 218(12), 83–95.
  • Chatwin, E. (2000). Optimal dynamic pricing of perishable products with stochastic demand and a finite set of prices. European Journal of Operational Research, 125(1), 149–174.
  • Chen, J., Dong, M., & Chen, F. F. (2017). Joint decisions of shipment consolidation and dynamic pricing of food supply chains. Robotics and Computer-Integrated Manufacturing, 43, 135–147.
  • Chen, J., Dong, M., Rong, Y., & Yang, L. (2018). Dynamic pricing for deteriorating products with menu cost. Omega-International Journal of Management Science, 75(5), 13–26.
  • Chen, J., Dong, M., & Xu, L. (2018). A perishable product shipment consolidation model considering freshness-keeping effort. Transportation Research Part E: Logistics and Transportation Review, 115, 56–86.
  • Chen, X., Wu, S., Wang, X., & Li, D. (2019). Optimal pricing strategy for the perishable food supply chain. International Journal of Production Research, 57(9), 2755–2768.
  • Chernonog, T. (2020). Inventory and marketing policy in a supply chain of a perishable product. International Journal of Production Economics, 219(1), 259–274.
  • Chew, P., Lee, C., & Liu, R. (2009). Joint inventory allocation and pricing decisions for perishable products. International Journal of Production Economics, 120(1), 139–150.
  • Chew, P., Lee, C., Liu, R., Hong, K., & Zhang, A. (2014). Optimal dynamic pricing and ordering decisions for perishable products. International Journal of Production Economics, 157, 39–48.
  • Chintapalli, P., & Hazra, J. (2016). Stocking and quality decisions for deteriorating perishable products under competition. Journal of the Operational Research Society, 67(4), 593–603.
  • Craig, C., & Raman, A. (2015). Improving store liquidation. Manufacturing & Service Operations Management, 18(1), 89–103.
  • Dye, Y. (2007). Joint pricing and ordering policy for a deteriorating inventory with partial backlogging. Omega-International Journal of Management Science, 35(2), 184–189.
  • Dye, Y. (2020). Optimal joint dynamic pricing, advertising and inventory control model for perishable items with psychic stock effect. European Journal of Operational Research, 283(2), 576–587.
  • Federgruen, A., & Zipkin, P. (1984). Allocation policies and cost approximations for multilocation inventory systems. Naval Research Logistics, 31(1), 97–129.
  • Feng, L. (2019). Dynamic pricing, quality investment, and replenishment model for perishable items. International Transactions in Operational Research, 26(4), 1558–1575.
  • Gallego, G., & Hu, M. (2014). Dynamic pricing of perishable assets under competition. Management Science, 60(5), 1241–1259.
  • Geng, Q., & Mallik, S. (2007). Inventory competition and allocation in a multi-channel distribution system. European Journal of Operational Research, 182(2), 704–729.
  • Gustavsson, J., Cederberg, C., Sonesson, U., & Van Otterdijk, R. (2011). Global food losses and food waste. FAO.
  • Hall, R. W. (1987). Consolidation strategy: Inventory, vehicles and terminals. Journal of Business Logistics, 8(2), 57–62.
  • Herbon, A. (2016). Monetary aspects of acquiring technology for price discrimination of a perishable storable product. Journal of the Operational Research Society, 67(4), 564–575.
  • Herbon, A., & Khmelnitsky, E. (2017). Optimal dynamic pricing and ordering of a perishable product under additive effects of price and time on demand. European Journal of Operational Research, 260(2), 546–556.
  • Hu, W., Toriello, A., & Dessouky, M. (2018). Integrated inventory routing and freight consolidation for perishable goods. European Journal of Operational Research, 271(2), 548–560.
  • Jackson, P. L., Muckstadt, J. A., & Li, Y. (2019). Multiperiod stock allocation via robust optimization. Management Science, 65(2), 794–818.
  • Jang W, Kim D, Park K. (2013). Inventory allocation and shipping when demand temporarily exceeds production capacity. European Journal of Operational Research, 227(3), 464–470.
  • Lai, M., Cai, X., & Li, X. (2017). Mechanism design for collaborative production-distribution planning with shipment consolidation. Transportation Research Part E: Logistics and Transportation Review, 106, 137–159.
  • Levin, Y., McGill, J., & Nediak, M. (2009). Dynamic pricing in the presence of strategic consumers and oligopolistic competition. Management Science, 55(1), 32–46.
  • Li, G., He, X., Zhou, J., & Wu, H. (2019). Pricing, replenishment and preservation technology investment decisions for non-instantaneous deteriorating items. Omega, 84(4), 114–126.
  • Li, S., & Zhu, M. (2013). Research on the differential outsourcing risks for fresh cold-chain logistics. In Proceedings of 20th international conference on industrial engineering and engineering management (pp. 827–840). Springer.
  • Lowalekar, H., Nilakantan, R., & Ravichandran, N. (2016). Analysis of an order-up-to-level policy for perishables with random issuing. Journal of the Operational Research Society, 67(3), 483–505.
  • Lu, J., Zhang, J., Lu, F., & Tang, W. (2020). Optimal pricing on an age-specific inventory system for perishable items. Operational Research, 20, 605–625.
  • Lu, J., Zhang, J., & Zhang, Q. (2018). Dynamic pricing for perishable items with costly price adjustments. Optimization Letters, 12(2), 347–365.
  • Moon, I. K., Cha, B. C., & Lee, C. U. (2011). The joint replenishment and freight consolidation of a warehouse in a supply chain. International Journal of Production Economics, 133(1), 344–350.
  • Nguyen, C., Dessouky, M., & Toriello, A. (2014). Consolidation strategies for the delivery of perishable products. Transportation Research Part E: Logistics and Transportation Review, 69, 108–121.
  • Qiu, Y., Qiao, J., & Pardalos, P. M. (2019). Optimal production, replenishment, delivery, routing and inventory management policies for products with perishable inventory. Omega-International Journal of Management Science, 82, 193–204.
  • Sato, K. (2019). Price trends and dynamic pricing in perishable product market consisting of superior and inferior firms. European Journal of Operational Research, 274(1), 214–226.
  • Sethi, S. P., & Thompson, G. L. (2000). Optimal control theory: Applications to management science and economics (2nd ed.). Springer.
  • Smith, A., & Agrawal, N. (2017). Optimal markdown pricing and inventory allocation for retail chains with inventory dependent demand. Manufacturing & Service Operations Management, 19(2), 290–304.
  • Soler, W., Santos, M., & Akartunali, K. (2021). MIP approaches for a lot sizing and scheduling problem on multiple production lines with scarce resources, temporary workstations, and perishable products. Journal of the Operational Research Society, 72(8), 1691–1706.
  • Song, H., Hsu, V. N., & Cheung, R. K. (2008). Distribution coordination between suppliers and customers with a consolidation center. Operations Research, 56(5), 1264–1277.
  • Song, B., Li, Z., & Zhuang, W. F. (2021). Dynamic channel control and pricing of a single perishable product on multiple distribution channels. European Journal of Operational Research, 288(2), 539–551.
  • Topaloglu, H., & Kunnumkal, S. (2006). Approximate dynamic programming methods for an inventory allocation problem under uncertainty. Naval Research Logistics, 53(8), 822–841.
  • Tunuguntla, V., Basu, P., Rakshit, K., & Ghosh, D. (2019). Sponsored search advertising and dynamic pricing for perishable products under inventory-linked customer willingness to pay. European Journal of Operational Research, 276(1), 119–132.
  • Tyan, J. C., Wang, F. K., & Du, T. C. (2003). An evaluation of freight consolidation policies in global third party logistics. Omega-International Journal of Management Science, 31(1), 55–62.
  • Wang, X., & Li, D. (2012). A dynamic product quality evaluation based pricing model for perishable food supply chains. Omega-International Journal of Management Science, 40(6), 906–917.
  • Wei, Q., Zhang, J., Zhu, G., Dai, R., & Zhang, S. (2020). Retailer vs. vendor managed inventory with considering stochastic learning effect. Journal of the Operational Research Society, 71(4), 628–646.
  • Zhang, J., Liu, G., Zhang, Q., & Bai, Z. (2015). Coordinating a supply chain for deteriorating items with a revenue sharing and cooperative investment contract. Omega-International Journal of Management Science, 56(10), 37–49.
  • Zhang, J., Wang, Y., Lu, L., & Tang, W. (2015). Optimal dynamic pricing and replenishment cycle for non-instantaneous deterioration items with inventory-level-dependent demand. International Journal of Production Economics, 170, 136–145.

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