Abstract:
Nowadays, companies need to collect and deliver goods from and to their depots and their customers. Reusable containers are considered as a greener choice and a cost saving strategy. This paper addresses a dynamic management of reusable containers (e.g. gases bottles, wood pallets, maritime containers, etc.) in a closed-loop supply chain. The aim of the study is to find an optimal lot sizing and assignment strategy that minimizes the cost of reusable container management under the environmental constraints. In this study, a new integer-linear-programming model and two hybrid approaches based on the genetic algorithm are proposed to solve the problem. The second hybrid method is enhanced within a local search based on variable neighborhood search (VNS). The numerical results show the performance of the two hybrid approaches in terms of solution quality and response time.
Machine summary:
com Dynamic Planning of Reusable Containers in a Close-loop Supply Chain under Carbon Emission Constraint Mohammed rida Ech-Charrat a, *, Khalid Amechnoue a and Tarik Zouadi b a National School of Applied Sciences of Tangier, Tangier, Morocco.
In this study, a new integer-linear-programming model and two hybrid approaches based on the genetic algorithm are proposed to solve the problem.
The aim of this study is first to propose a model that helps firms to optimize transportation, item storage, container reloading, and investment, under a carbon emission constraint from multi-producer to multi- retailer, and then to propose meta-heuristic approaches for the resolution of the problem in the complex networks cases.
In this study, the researchers presented a formulation of a linear multi-objective programming model that optimizes the operations of both integrated logistics and corresponding used-product.
This work was extended by Kim & Glock (2014) who developed a mathematical planning model for a closed-loop supply chain that uses containers for transporting products from a supplier to a retailer.
(2017) propose a mixed-integer linear program for inventory-routing problem of RTI with time windows and simultaneous pickup and delivery in closed-loop supply chains with mono-producer, mono- product, and multi period.
(2017), focus on the environmental impacts of production and transportation operations and propose mixed-integer non-linear programming model for a multi-echelon closed-loop supply chain.
The solution returned by CPLEX defines optimal reusable container quantities to deliver or to collect according to the binary decisions proposed by the offspring structure resulting from the crossover and mutation operator.