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Song S, Shi X, Tappia E, Song G, Melacini M, Cheng TC. Why does omni-channel allow retailers to foster supply chain resilience? Evidence from sequential mixed methods research. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS 2022. [DOI: 10.1080/13675567.2022.2159350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Shaohua Song
- School of Economics and Management, Beijing Jiaotong University, Beijing, People’s Republic of China
- Beijing Laboratory of National Economic Security Early-Warning Engineering, Beijing Jiaotong University, Beijing, People’s Republic of China
| | - Xianliang Shi
- School of Economics and Management, Beijing Jiaotong University, Beijing, People’s Republic of China
| | - Elena Tappia
- Department of Management, Economics and Industrial Engineering, Polytechnic University of Milan, Milan, Italy
| | - Guang Song
- Beijing Laboratory of National Economic Security Early-Warning Engineering, Beijing Jiaotong University, Beijing, People’s Republic of China
- National Academy of Economic Security, Beijing Jiaotong University, Beijing, People’s Republic of China
| | - Marco Melacini
- Department of Management, Economics and Industrial Engineering, Polytechnic University of Milan, Milan, Italy
| | - T. C.E. Cheng
- Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of China
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Abstract
AbstractConsumer demand and retailing models nowadays are being upgraded more frequently. More and more retailers are switching to the Omni-channel retailing model. Choosing a reasonable location for a front distribution center (FDC) helps control an enterprise's cost and improves its service level. This is especially true in the existence of fierce competition. In this paper, two important and contradictory objectives are proposed for the first time in the FDC location problem: minimizing the distribution costs from the facility and minimizing the fixed cost of the facility's location. For these objectives, a bi-objective programming model is established by considering the factors of a facility's capacity, demand and rent fluctuation. Meanwhile, the FDC location problem has been solved by compromising programming and elite set multi-objective simulated annealing algorithm respectively. Taking the FDC locations set of an e-commerce enterprise in a region of Beijing as an empirical sample, this paper uses the above algorithms to re-plan the FDC locations of the enterprise. This algorithm provides support for retail enterprises by helping find the best FDC location. Based on the empirical results, some comments and future research directions are also proposed.
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