Optimizing a bi-objective multi-period fish closed-loop supply chain network design by three multi-objective meta-heuristic algorithms

Abstract

Attention to a food supply chain has increased recently due to population growth and increased demand for food.Aquaculture development is advantageous as fish is a crucial constituent of the food basket of households. This study first presents a new bi-objective and multi-period mathematical model of a fish closed-loop supply chain (CLSC). The model is addressed by utilizing the multi-objective Keshtel algorithm (MOKA), NSGA-II, and MOSA. The Taguchi method is employed to tune these meta-heuristics to attain superior performance, and the ε-constraint method is used in solving small-sized problems to validate them. The results show that the exact method cannot solve large-sized problems. The solutions are compared in terms of different performance metrics. Using the 'filtering/displaced ideal solution' (F/DIS) method, NSGA-II and MOKA with a direct distance of 0.4228 and 0.8976 have the first and second performance ranks, respectively. Also, a case study including a trout CLSC in the north of Iran is investigated. The results and the case study show that the developed model can be applied to the proposed solution approach.

A socio-economic optimization model for blood supply chain network design during the COVID-19 pandemic: An interactive possibilistic programming approach for a real case study

“…The efficacy of the offered model is demonstrated by analyzing a case study from Puebla, Mexico. CLSCNDs have been developed by a number of researchers for a variety of industries, including the seafood industry [ [30] , [31] , [32] ], palm date products [ 33 ], and manufacturing industry [ 34 ].…”

A public‐private partnership based model for regulating out‐of‐pocket expenditures to strengthen primary care system

“…35,36 Supply chain management is concerned with the flow of products, capital, and information from source to destination, and designing a network of a supply chain in the context of operational research involves location, allocation, size-determination, and flow of facilities. 37 In recent times, designing a network of the supply chain has been prevalent in various sectors. 38 Chouhan et al 39 presented a location-allocation framework for designing a network of sugarcane supply chain in the agricultural sector considering carbon emission while the network of sugarcane supply chain given by Chouhan et al 40 was focussed on handling the by-products.…”

“…Designing a network of supply chains involves decisions on facility location, transportation, inventory management, production planning, and logistics 35,36 . Supply chain management is concerned with the flow of products, capital, and information from source to destination, and designing a network of a supply chain in the context of operational research involves location, allocation, size‐determination, and flow of facilities 37 …”

“…The study is conducted on a data set containing 29 population centres, 22 existing PHCs, 13 existing CHCs, and 15 private OPDs. Demand of 29 population centres is assumed to be(197, 250,8,17,13,50,5,9,16,8,6,6,16,22,24,42,55,6,11,28,54,50,9,5,15,3,5,25,37). Capacities of PHC, CHC, and private OPD were assumed to be 50, 70, and 50 respectively.…”

Blood plasma supply chain planning to respond COVID-19 pandemic: a case study

“…A closed-loop fish supply chain network was investigated by Fasihi et al ( 2021a ). In this regard, the computational complexity of the fish closed-loop supply chain was addressed in Fasihi et al ( 2021b ) research. They used three efficient metaheuristics, MOKA, NSGA-II, and MOSA, as the solution approaches.…”