تعداد نشریات | 418 |
تعداد شمارهها | 9,997 |
تعداد مقالات | 83,560 |
تعداد مشاهده مقاله | 77,801,157 |
تعداد دریافت فایل اصل مقاله | 54,843,824 |
A Location-Routing-Inventory Model for Perishable Items Using Fresher First and Older First Inventory Management Policies | ||
Journal of Industrial Engineering International | ||
دوره 17، شماره 1، خرداد 2021، صفحه 32-41 اصل مقاله (535.52 K) | ||
نوع مقاله: Original Article | ||
شناسه دیجیتال (DOI): 10.30495/jiei.2021.1918748.1075 | ||
نویسندگان | ||
Shima Harati1؛ Emad Roghanian* 2؛ Ashkan Hafezalkotob1؛ Amir Abbas Shojaie1 | ||
1Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran | ||
2Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran | ||
چکیده | ||
The purpose of the current research is to present a location-routing-inventory model for perishable products. The presented model is applied in a two-stage structure. The first-stage decisions confirm the establishment of distribution centers, whereas the second-stage decisions determine the other variables of the problem. For a better management of inventory, it has been used under the names of fresher first and older first policies. In the fresher first policy, the fresher items have a priority to be sent to the customer, whereas in the older first policy, the items with a longer age have the priority to be sent to the customer. The summary of the results of the models demonstrates that among the free, fresher first, and older first policies, it is the free policy that offers a higher profit function to the customer than the other two policies since it is more flexible and general,and encompasses these two extremes. The free policy lets the model determine which items to sell at any given time period in order to maximize profit.Moreover, in the older first policy, since the older items reach the customers sooner than the other items, the number of the expired items is reduced. However, this policy brings the lowest revenue to the customer. In the fresher first policy, since the fresher items are sold first and then the older items are sold, the number of the expired items is increased along the customer horizon. Nevertheless, the customer obtains more revenue compared with the older first policy. | ||
کلیدواژهها | ||
Inventory locating؛ Perishable items؛ Inventory management policy؛ Routing | ||
مراجع | ||
[1] Liu, G., Zhang, J., & Tang, W. (2015). Joint dynamic pricing and
investment strategy for perishable foods with price-quality dependent demand. Annals of Operations Research, 226(1), 397-416. [2] Shah, N. H. (2017). Three-layered integrated inventory model for deteriorating items with quadratic demand and two-level trade credit financing. International Journal of Systems Science: Operations & Logistics, 4(2), 85-91. [3] Onggo, B. S., Panadero, J., Corlu, C. G., & Juan, A. A. (2019). Agri-
food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products. Simulation Modelling Practice and Theory, 97, 101970. [4] Yang, P. C., & Wee, H. M. (2002). A single-vendor and multiple-
buyers production–inventory policy for a deteriorating item. European Journal of Operational Research, 143(3), 570-581. [5] Rau, H., Wu, M. Y., & Wee, H. M. (2003). Integrated inventory model
for deteriorating items under a multi-echelon supply chain environment. International journal of production economics, 86(2), 155-168. [6] Yavari, M., & Geraeli, M. (2019). Heuristic method for robust
optimization model for green closed-loop supply chain network design of perishable goods. Journal of Cleaner Production, 226, 282-305. [7] Seyedhosseini, S. and Ghoreyshi S (2014). An integrated model for
production and distribution planning of perishable products with inventory and routing considerations. Mathematical Problems in Engineering, 2014 (10), 1-10. [8] Yu, Y., Huang, G. Q., Hong, Z., & Zhang, X. (2011). An integrated
pricing and deteriorating model and a hybrid algorithm for a VMI (vendor-managed-inventory) supply chain. IEEE Transactions on Automation Science and Engineering, 8(4), 673-682. [9] Shaabani, H., &Kamalabadi, I. N. (2016). An efficient population- based simulated annealing algorithm for the multi-product multi- retailer perishable inventory routing problem. Computers & Industrial Engineering, 99, 189-201. [10] Hsu, C. I., Hung, S. F., & Li, H. C. (2007). Vehicle routing problem with time-windows for perishable food delivery. Journal of food engineering, 80(2), 465-475. [11] Seyedhosseini, S. M., MahdaviMazdeh, M., Makui, A., &Ghoreyshi, S. M. (2016). An inventory routing problem for perishable products with stochastic demands and direct deliveries. International Journal of Industrial Engineering & Production Research, 27(1), 21-30. [12] Chao, C., Zhihui, T., &Baozhen, Y. (2019). Optimization of two-stage location–routing–inventory problem with time-windows in food distribution network. Annals of Operations Research, 273(1-2), 111- 134. [13] Khalili-Damghani, K., Abtahi, A. R., & Ghasemi, A. (2015). A new bi- objective location-routing problem for distribution of perishable products: evolutionary computation approach. Journal of Mathematical Modelling and Algorithms in Operations Research, 14(3), 287-312. [14] S. Axs¨ater. Inventory control. International Series in Operations Research & Management Science, volume 90. Springer, New York, 2006. [15] S. Nahmias. Perishable Inventory Systems. International Series in Operations Research & Management Science, volume 160. Springer, New York, 2011. [16] R. Haijema. A new class of stock-level dependent ordering policies for perishables with a short maximum shelf life. International Journal of Production Economics, forthcoming, 2011. [17] S. Minner and S. Transchel. Periodic review inventory-control for perishable products under service-level constraints. OR Spectrum, 32(4):979–996, 2010. [18] Z. Karaesmen, A. Scheller-Wolf, and B. Deniz. Managing perishable and aging inventories: Review and future research directions. In K. G. Kempf, P. Keskinocak, and R. Uzsoy, editors, Planning Production and Inventories in the Extended Enterprise, volume 151 of International Series in Operations Research & Management Science, pages 393–436. Springer, New York, 2011. [19] Nagurney, M. Yu, A. H. Masoumi, and L. S. Nagurney. Networks against Time − Supply Chain Analytics for Perishable Products. Springer, New York, 2013. [20] H. Andersson, A. Hoff, M. Christiansen, G. Hasle, and A. Lّ kketangen. Industrial aspects and literature survey: Combined inventory management and routing. Computers & Operations Research, 37(9):1515–1536, 2010. [21] L. C. Coelho, J.-F. Cordeau, and G. Laporte. Thirty years of inventory-routing. Transportation Science, forthcoming, 2014. doi: 10.1287/trsc.2013.0472. [22] Leandro C. Coelho, Gilbert Laporte. (2014). Optimal Joint Replenishment, Delivery and Inventory Management Policies for Perishable Products, Computers & Operations Research, 47, 42–52. [23] Axsäter, S. (2006). Planning order releases for an assembly system with random operation times. In Stochastic Modeling of Manufacturing Systems (pp. 333-344). Springer, Berlin, Heidelberg. [24] Raafat, F., Wolfe, P. M., & Eddin, H. K. (1991). An inventory model for deteriorating items. Computers and Industrial Engineering, 20(1), 89-94. [25] Moghaddam, S. T., Javadi, M., & Molana, S. M. H. (2019). A reverse logistics chain mathematical model for a sustainable production system of perishable goods based on demand optimization. Journal of Industrial Engineering International, 15(4), 709-721. [26] Panda, G. C., Khan, M. A. A., & Shaikh, A. A. (2019). A credit policy approach in a two-warehouse inventory model for deteriorating items with price-and stock-dependent demand under partial backlogging. Journal of Industrial Engineering International, 15(1), 147-170. [27] Abou Chakra, H., & Ashi, A. (2019). Comparative analysis of design/build and design/bid/build project delivery systems in Lebanon. Journal of Industrial Engineering International, 15(1), 147-152. [28] Saeidi, R.G., Amin, G.R., Raissi, S. et al. An efficient DEA method for ranking woven fabric defects in textile manufacturing. Int J Adv Manuf Technol 68, 349–354 (2013). https://doi.org/10.1007/s00170-013- 4732-4 | ||
آمار تعداد مشاهده مقاله: 482 تعداد دریافت فایل اصل مقاله: 443 |