Optimization of vehicle routing with inventory allocation problems in Cold Supply Chain Logistics

被引：52

作者：

Al Theeb, Nader ^{[1
]}

Smadi, Hazem J. ^{[1
]}

Al-Hawari, Tarek H. ^{[1
]}

Aljarrah, Manar H. ^{[1
]}

机构：

[1] Jordan Univ Sci & Technol, Ind Engn Dept, POB 3030, Irbid 22110, Jordan

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2020年 / 142卷

关键词：

Integer programming; Cold supply chain; Vehicle routing; Inventory allocation; ENVIRONMENTAL CONSIDERATIONS; PERISHABLE PRODUCTS; MODEL; REFRIGERATION; DESIGN; SAFETY;

D O I：

10.1016/j.cie.2020.106341

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this research, a new comprehensive mixed integer optimization model combining inventory allocation problem, vehicle routing problem, and cold supply chain (CSC) is formulated, denoted as IVRPCSC Model, to minimize the total cost paid for CSC, including the transportation and inventory costs. As the proposed model is NP-hard, a multi-phases solution approach is developed to solve the model in reasonable computational effort. Results of the proposed solution approach show that it is able to provide solutions with low gaps for the data-sets with different scales in very short computational time compared with the solutions for the same sets provided by commercial solvers, such as CPLEX. At the end, a real case study is solved by the proposed model, and the results show a saving of 9.25% of total distribution cost compared with the current cost paid by the organization.

引用

页数：16

共 40 条

[1] Quality, safety and sustainability in food distribution: a review of quantitative operations management approaches and challenges [J].