Title
Novel Model And Kernel Search Heuristic For Multi-Period Closed-Loop Food Supply Chain Planning With Returnable Transport Items
Abstract
Closed-loop supply chain (CLSC) is of utmost importance to sustainable development and has received increasing attention in recent decades. However, food CLSC with returnable transport items (RTIs) has been rarely studied although its growing applications in practice. This paper aims to investigate a multi-period CLSC planning problem that coordinates the flows of perishable food products and RTIs considering food quality. The objective is to maximise the total profit of the holistic supply chain over a finite planning horizon. To this end, a novel mixed integer linear programming model is first formulated. As the problem is proven NP-hard, an improved kernel search-based heuristic is then developed. A real case study deriving from a food manufacturer in China shows the applicability of the proposed model and method. The results indicate that the manufacturer's profit can be improved by more than 10% with our method. Numerical experiments on randomly generated instances demonstrate that the proposed heuristic can yield high-quality solutions with much less computation time compared with the commercial solver CPLEX and an existing heuristic.
Year
DOI
Venue
2019
10.1080/00207543.2019.1615650
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Keywords
DocType
Volume
closed-loop food supply chain, perishable food, returnable transport item, mixed integer linear programming, kernel search
Journal
57
Issue
ISSN
Citations 
23
0020-7543
1
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Yipei Zhang121.02
Yipei Zhang221.02
Feng Chu3103078.80
Feng Chu4103078.80
Ada Che529221.39
Yugang Yu614325.29
Xin Feng711.69