A green approach for a bi-objective programming inventory routing problem

被引:0
|
作者
He, Dongdong [1 ]
Zhong, Qiuyan [1 ]
Qu, Yi [1 ]
Du, Peng [2 ]
Lin, Zhengkui [2 ]
机构
[1] Faculty of Management and Economics, Dalian University of Technology, No. 2, Linggong Road, Ganjingzi District, Dalian,116024, China
[2] School of Information Science and Technology, Dalian Maritime University, No. 1, Linghai Road, Ganjingzi District, Dalian,116026, China
来源
ICIC Express Letters | 2016年 / 10卷 / 06期
关键词
Bi objective programming - Bi-objective optimization - Capacitated vehicles - Finite planning horizon - Green approach - Inventory routing problems - Supply chain performance - Transshipment;
D O I
暂无
中图分类号
学科分类号
摘要
A bi-objective multi-product multi-period inventory routing problem (IRP) consists of constructing routes for multiple capacitated vehicles to meet the given demand of a single plant in a way that no vehicle carries load more than its capacity and each supplier is visited only once each period over a finite planning horizon. In this supply chain, the demand for each product is assumed to be deterministic, time varying and ready for collection when the vehicle arrives at the supplier site. The bi-objective optimization model pertaining to minimize transportation cost and the greenhouse gas emission is considered as a possible solution to achieve a balance of economic and environment. A numerical study is proposed to show the applicability of the model and underline the impact of the green approach on future supply chain performance. © 2016 ISSN.
引用
收藏
页码:1375 / 1381
相关论文
共 50 条
  • [21] An Integer Linear Programming approach to the single and bi-objective Next Release Problem
    Veerapen, Nadarajen
    Ochoa, Gabriela
    Harman, Mark
    Burke, Edmund K.
    INFORMATION AND SOFTWARE TECHNOLOGY, 2015, 65 : 1 - 13
  • [22] An Algorithm for Bi-Objective Integer Linear Programming Problem
    Prerna
    Sharma, Vikas
    FILOMAT, 2022, 36 (16) : 5641 - 5651
  • [23] Bi-objective reliable location-inventory-routing problem with partial backordering under disruption risks: A modified AMOSA approach
    Rayat, Farnaz
    Musavi, MirMohammad
    Bozorgi-Amiri, Ali
    APPLIED SOFT COMPUTING, 2017, 59 : 622 - 643
  • [24] Bi-objective collaborative electric vehicle routing problem: mathematical modeling and matheuristic approach
    Vahedi-Nouri, Behdin
    Arbabi, Hamidreza
    Jolai, Fariborz
    Tavakkoli-Moghaddam, Reza
    Bozorgi-Amiri, Ali
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2022, 14 (8) : 10277 - 10297
  • [25] Bi-objective collaborative electric vehicle routing problem: mathematical modeling and matheuristic approach
    Behdin Vahedi-Nouri
    Hamidreza Arbabi
    Fariborz Jolai
    Reza Tavakkoli-Moghaddam
    Ali Bozorgi-Amiri
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 : 10277 - 10297
  • [26] Bi-Objective green vehicle routing problem minimizing carbon emissions and maximizing service level
    Kabadurmus, Ozgur
    Erdogan, Mehmet Serdar
    JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2023, 38 (01): : 103 - 112
  • [27] Bi-objective inventory routing problem with backhauls under transportation risks: two meta-heuristics
    Arab, R.
    Ghaderi, S. F.
    Tavakkoli-Moghaddam, R.
    TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2020, 12 (02): : 113 - 129
  • [28] Bi-objective routing problem with asymmetrical travel time distributions
    Zhang, Xu
    Chen, Mei
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 22 (02) : 87 - 98
  • [29] Evolutionary bi-objective optimisation in the elevator car routing problem
    Tyni, T
    Ylinen, J
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 169 (03) : 960 - 977
  • [30] A bi-objective transportation-location arc routing problem
    Amini, Alireza
    Tavakkoli-Moghaddam, Reza
    Ebrahimnejad, Sadoullah
    TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2020, 12 (09): : 623 - 637