Product Channeling in an O2O Supply Chain Management as Power Transmission in Electric Power Distribution Systems

被引:5
|
作者
Sarkar, Biswajit [1 ]
Tayyab, Muhammad [1 ]
Choi, Seok-Beom [2 ]
机构
[1] Hanyang Univ, Dept Ind & Management Engn, Ansan 15588, Gyeonggi Do, South Korea
[2] Cheju Halla Univ, Dept Int Business, Jeju City 63092, Jeju Do, South Korea
来源
MATHEMATICS | 2019年 / 7卷 / 01期
基金
新加坡国家研究基金会;
关键词
supply chain management; e-commerce; O2O channel; customer acquisition cost; transshipments; electric power distribution; TIME-VARYING DETERIORATION; SERVICE LEVEL CONSTRAINT; RANDOM DEFECTIVE RATE; INVENTORY MODEL; OPTIMAL POLICIES; ROUTING PROBLEM; LEAD TIME; TRANSSHIPMENT; ALGORITHM; SINGLE;
D O I
10.3390/math7010004
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
With the aim of delivering goods and services to customers, optimal delivery channel selection is a significant part of supply chain management. Several heuristics have been developed to solve the variants of distribution center allocation and vehicle routing problems. In reality, small-scale suppliers cannot afford research and development departments to optimize their distribution networks. In this context, this research work develops a model for an online to offline (O2O) supply chain management network of a small-scale household electric components manufacturer for delivering goods to its distribution centers and retailers. Retailers are acquired by the company through investment in the O2O channel of e-commerce. Electric power transmission and distribution is considered as representative of the product distribution network. A model is developed using a combination of the supply chain management technique and power transmission terminologies. The constrained linear programming model is solved through the linear programming tool of the LINGO optimization software and the global optimum results for the proposed quantity allocation problem are achieved. A numerical experiment is provided to illustrate the practical applicability of the model and the optimal results are analyzed for model robustness.
引用
收藏
页数:12
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