Document Type : Original Research

Authors

1 Department of Industrial Management, School of Business and Economics, Persian Gulf University, Bushehr, Iran

2 Department of Economics, School of Business and Economics, Persian Gulf University, Bushehr, Iran

3 Department of Management, Shiraz University, Shiraz, Iran

Abstract

The producer can warehouse the perishable items and reuse them in the production line by creating an appropriate cooperation relationship and sharing information related to demand and stocks in order to provide the field to save money, reduce the environmental population, and use natural resources less. Therefore, it is also necessary to use the concept of the supply chain of perishable items in the supply chain. In this study a new approach will be provided to develop the agility of the supply chain to establish an integrated and agile supply chain to create an informational and operational linking bridge between different sections of the supply chain. Hence, a multi-objective mathematical model will be presented considering the maximization of the level of agility, the minimization of the perishing of goods, minimization of the time of distributing goods by systemizing the retail distribution system and since the agile supply chain model is considered as difficult problems, Epsilon- Constraint method and Benders Exact Solution method will be used to develop this research. Benders method is a decomposition algorithm that creates smaller sections of agility in solving the model by decomposing the mathematical model. First, the model is evaluated, and a problem is designed to assess the performance of the proposed model, and it is solved by using GAMS and CPLEX solver. Then the validity of the provided model is analyzed by the approach of the meta-heuristic algorithm Moka.

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Main Subjects

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Ansari, K., & AkhwanNiaki, S. T. (2018). Presenting a Green Inventory Management Model for Perishable Goods by the Seller and Routing under the Uncertainty of Demand. 4th International Conference on Industrial Engineering and Systems, Mashhad, Ferdosi University of Mashhad.
Ashtineh, H., & Pishvaee, M. S. (2019). Alternative fuel vehicle-routing problem: A life cycle analysis of transportation fuels. Journal of Cleaner Production, 219, 166–182.
Bastani Katoli, S., & Noudehi, A. (2020). Application of simulated annealing algorithm in solving vehicle routing problem. National Conference on Electrical and Electronics Industry, Hoveizeh.
Bertsimas, D., Pachamanova, D., & Sim, M. (2004). Robust linear optimization under general norms. Operations Research Letters, 6(32), 510–516.
Bolvardi, S., Asadi, Y., & Hagh Jooei, H. (2020). Presenting a mathematical model for locating stations and routing vehicles in employee transportation system (Case Study: Iranian Butia Steel Company). 6th International Conference on Industrial and Systems Engineering.
Bottani, E., Mannino, F., Vignali, G., & Montanari, R. (2018). A routing and location model for food waste recovery in the retail and distribution phase. International Journal of Logistics Research and Applications, 21(6), 557–578.
Chernonog, T. (2020). Inventory and marketing policy in a supply chain of a perishable product. International Journal of Production Economics, 219, 259–274.
Etebari, F., & Dashtian, Z. (2020). Modeling a Green Inventory-Routing Problem with Hybrid Vehicles and Solving With Large Neighbourhood Search Algorithms. Quarterly Journal of Transportation Engineering, 11(4), 857–875.
Hamze Pour, A., Daghine, M., & Haji Molana, M. (2017). Presenting scenario-based mathematical model for routing problem - three-level inventory considering the fixed cost of commissioning as probable. 2nd International Conference on Management and Accounting, Tehran.
Horvath, L. (2001). Collaboration: The key to value creation in supply chain management. Supply Chain Management, International Journal, 6(5): 205–207.
Hosein Pour, M., & Bagheri, M. (2020). Two-stage stochastic programming for green inventory routing problem with random demand and heterogeneous vehicles. 6th International Conference on Industrial and Systems Engineering.
Hosein Zade Saljoghi, M. (2020). Reliability of operation of biocompatible vehicles with energy-based routing. 5th International Conference on Electrical, Computer and Mechanical Engineering.
Inuiguchi, M., & Ramık, J. (2000). Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem. Fuzzy Sets and Systems, 111(1), 3–28.
Mardan, E., Soltanzadeh, S., & KamranRad, R. (2019). Integrated Two-stage Stochastic Locating-Routing-Inventory Model with Uncertainty for Perishable Items. 5th International Conference on Industrial Engineering and Systems (ICISE 2019).
Mehranjoo, N., & Behnamian, J. (2017). Solving vehicle routing problem using column production method. 2nd International Conference on Industrial Management.
Mirzabaghi, M., Jolai, F., Razmi, J., & Tavakkoli-Moghaddam, R. (2021). Sustainable routing of heterogeneous vehicles with simultaneous pickup and delivery considering economic, environmental and social factors. Journal of Transportation Research, 18(1), 227–250.
Mousa Zade, M., Asadi, E., & Div Salar, A. (2020). Development of mathematical model for scheduling and routing problem of vehicles collecting bio-samples in home health care. 13th International Conference of Iranian Association for Operations Research, Shahroud.
Neves Almeida, S., & Marques, A. C. (2021). The substitution of fossil fuels in the US transportation energy mix: Are emissions decoupling from economic growth? Research in Transportation Economics, 90, 101036.
Nosrati, M., & Arshadi Khamse, A. R. (2020). Routing problem of hybrid two-purpose vehicles with alternative routes and reliability for routes. St Scientific-Research Conference on Industrial Management and Engineering.
Pilevar, S. M., Alncheri, N., Tavan, F., & Soltan, R. (2017). Presenting a Mathematical Model to Solve the Problem of Locating-Routing with Dynamic Capacity for Perishable Goods with Simultaneous Delivery and Collecting. 3th International Conference on Industrial Engineering and Management.
Rabiei, H., & Etebari, F. (2017). Presenting a Mathematical Model for the Routing Problem of Multi-storage Green Vehicles in the Cold Logistics Chain. 3rd International Conference on Management and Industrial Engineering.
Ren, L., He, L., Lu, H., & Chen, Y. (2016). Monte Carlo-based interval transformation analysis for multi-criteria decision analysis of groundwater management strategies under uncertain naphthalene concentrations and health risks. Journal of Hydrology, 539, 468–477.
Rivera, J. C., Afsar, H. M., & Prins, C. (2016). Mathematical formulations and exact algorithm for the multitrip cumulative capacitated single-vehicle routing problem. European Journal of Operational Research, 249(1), 93–104.
Sadat Ghiasi, M., & Etebari, F. (2020). Routing of multi-commodity electric vehicles by separating fleet based on type of goods sent and partial delivery and solving with meta-innovative algorithm (case study). 2nd National Conference on Entrepreneurship and Industrial Engineering.
Seif Barghi, M. (2020). Modeling and solving the location-routing problem considering vehicle pollution in multiple graph networks and the possibility of disruption. 6th International Conference on Industrial and Systems Engineering.
Seyyed Hosseini, M., & Mohammadzadeh, H. (2017). Presenting a Two-level Vehicle Routing Model with Environmental and Social Considerations. Green Supply Chain International Conference.
Shen, J. (2020). An environmental supply chain network under uncertainty. Physica A: Statistical Mechanics and Its Applications, 542, 123478.
Song, B. D., & Ko, Y. D. (2016). A vehicle routing problem of both refrigerated-and general-type vehicles for perishable food products delivery. Journal of Food Engineering, 169, 61–71.
Soysal, M. (2016). Closed-loop Inventory Routing Problem for returnable transport items. Transportation Research Part D: Transport and Environment, 48, 31–45.
Tapia-Ubeda, F. J., Pablo A, M., Irene, R., Marco, M., & Orlando, D. (2018). An inventory-location modeling structure for spare parts supply chain network design problems in industrial end-user sites. IFAC-PAPERSONLINE, 51(11), 968–973.
Zohrevand, V., & BidhendiMohammadi, H. (2017). Design and Modeling of Heterogeneous Vehicle Fleet Routing Problem in Transit Warehousing with Customer Satisfaction Approach and Solution with Biphasic Genetic Algorithm. 2th National Mathematics Conference: Advanced Engineering with Mathematical Techniques.