Scheduling for a Container Supply Chain to Minimize Costs Using the Meta-Innovation Approach

被引：1

作者：

Husein, Ismail ^{[1
]}

Suhada, Arif ^{[2
]}

Chetthamrongchai, Paitoon ^{[3
]}

Peressypkin, Andrej P. ^{[4
]}

Nurrohkayati, Anis Siti ^{[5
]}

Vo Hoang Ca ^{[6
]}

Huynh Tan Hoi ^{[7
]}

Grimaldo Guerrero, John William ^{[8
]}

Kavitha, M. ^{[9
]}

机构：

[1] Univ Islam Negeri Sumatera Utara, Dept Math, Medan, Indonesia

[2] Andalas Prima Teknol, Medan, Indonesia

[3] Kasetsart Univ, Fac Business Adm, Bangkok, Thailand

[4] Belgorod State Univ, Belgorod, Russia

[5] Univ Muhammadiyah Kalimantan Timur, Dept Mech Engn, Samarinda, Indonesia

[6] Ho Chi Minh City Open Univ, Ho Chi Minh City, Vietnam

[7] FPT Univ, Language Dept, Hanoi, Vietnam

[8] Univ Costa, Dept Energia, Barranquilla, Colombia

[9] Saveetha Univ, Saveetha Sch Engn, Saveetha Inst Med & Tech Sci, Chennai, Tamil Nadu, India

来源：

INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS | 2021年 / 20卷 / 04期

关键词：

Transport Network Transport Network Design; Container Supply Chain; Line Scheduling; Genetic Algorithm; MODEL;

D O I：

10.7232/iems.2021.20.4.662

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this study, a problem of scheduling shipping lines for a container supply chain is addressed in order to minimize the costs of charging ships and the cost of maintaining the inventory of empty containers in the port by considering the time window of the port and the amount of fuel. This is a hard-NP problem and cannot be solved on a large scale with precise methods in a logical time. Therefore, to solve and optimize the model, a meta-innovative algorithm, genetic algorithm, has been used. Also, to increase the effectiveness of the genetic algorithm, the parameters of the algorithm are adjusted using the Taguchi method. Finally, a number of problems have been solved to show the performance of this algorithm and its computational results have been compared with the results obtained from GAMS software.

引用

页码：662 / 671

页数：10

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