A multi objective mixed integer programming model for design of a sustainable meat supply chain network

Document Type: IIEC 2020

Authors

Department of industrial engineering, Mazandaran University of Science and Technology, Babol, Iran

Abstract

In the recent decades, rapid population growth has led to the significant increase in food demand. Food supply chain has always been one of the most important and challenging management issues. Product with short age, especially foodstuffs, is the most problematic challenges for supply chain management. These challenges are mainly due to the diversity in the number of these goods, the special need for tracking the flow of goods in the supply chain and the short age of products. Designing an appropriate supply chain network for the organization will increase profitability as well as customer satisfaction. It also helps organizations to achieve competitive advantage in market. In this research, a multi-objective planning model is presented in order to design a sustainable supply chain network. The first objective function minimizes costs, the second objective function minimizes network environmental impacts, the third objective function optimizes the productivity of facilities and the fourth objective function optimizes network social impacts. In this research, in order to deal with uncertainty, the robust optimization approach is implemented. Multi-criteria decision-making methods are also used to solve the multi-objective model.

Keywords

Main Subjects


Mohebalizadehgashti, F., Zolfagharinia, H., & Amin, S. H. (2020). Designing a green meat supply chain network: A multi-objective approach. International Journal of Production Economics, 219, 312-327.

 

Aras, N., & Bilge, Ü. (2018). Robust supply chain network design with multi-products for a company in the food sector. Applied Mathematical Modelling, 60, 526-539.

 

Vafaei, A., Yaghoubi, S., Tajik, J., & Barzinpour, F. (2020). Designing a sustainable multi-channel supply chain distribution network: A case study. Journal of Cleaner Production, 251, 119628.

 

Ghezavati, V. R., Hooshyar, S., & Tavakkoli-Moghaddam, R. (2017). A Benders’ decomposition algorithm for optimizing distribution of perishable products considering postharvest biological behavior in agri-food supply chain: a case study of tomato. Central European Journal of Operations Research, 25(1), 29-54.

 

Mogale, D. G., Cheikhrouhou, N., & Tiwari, M. K. (2019). Modelling of sustainable food grain supply chain distribution system: a bi-objective approach. International Journal of Production Research, 1-24.

 

Cruz, L., Pires-Ribeiro, J., & Barbosa-Póvoa, A. (2019). Design and Planning of Agri-Food Supply Chains. In Computer Aided Chemical Engineering (Vol. 46, pp. 55-60). Elsevier.

 

Soysal, M., Bloemhof-Ruwaard, J. M., & Van Der Vorst, J. G. (2014). Modelling food logistics networks with emission considerations: The case of an international beef supply chain. International Journal of Production Economics, 152, 57-70.

 

Mohammed, A., & Wang, Q. (2017). The fuzzy multi-objective distribution planner for a green meat supply chain. International Journal of Production Economics, 184, 47-58.

 

Bottani, E., Murino, T., Schiavo, M., & Akkerman, R. (2019). Resilient food supply chain design: Modelling framework and metaheuristic solution approach. Computers & Industrial Engineering, 135, 177-198.

 

Musavi, M., & Bozorgi-Amiri, A. (2017). A multi-objective sustainable hub location-scheduling problem for perishable food supply chain. Computers & Industrial Engineering, 113, 766-778.

 

Mohammadi, Z., Barzinpour, F., & Teimoury, E. (2020). Designing sustainable supply chain network by considering direct and indirect shipment: Evidence from food industry. Decision Science Letters9(3), 323-336.

 

Bortolini, M., Galizia, F. G., Mora, C., Botti, L., & Rosano, M. (2018). Bi-objective design of fresh food supply chain networks with reusable and disposable packaging containers. Journal of cleaner production184, 375-388.

 

Validi, S., Bhattacharya, A., & Byrne, P. J. (2014). A case analysis of a sustainable food supply chain distribution system—A multi-objective approach. International Journal of Production Economics, 152, 71-87.

 

Zhang, X., Zhao, G., Qi, Y., & Li, B. (2019). A Robust Fuzzy Optimization Model for Closed-Loop Supply Chain Networks Considering Sustainability. Sustainability, 11(20), 5726.

 

Arampantzi, C., & Minis, I. (2017). A new model for designing sustainable supply chain networks and its application to a global manufacturer. Journal of Cleaner Production, 156, 276-292.

 

Yun, Y., Chuluunsukh, A., & Gen, M. (2019, August). Design and Implementation of Sustainable Supply Chain Model with Various Distribution Channels. In International Conference on Management Science and Engineering Management (pp. 469-482). Springer, Cham.

 

Pishvaee, Mir Saman, Masoud Rabbani, and Seyed Ali Torabi. "A robust optimization approach to closed-loop supply chain network design under uncertainty." Applied Mathematical Modelling 35.2 (2011): 637-649.