Supplier selection problem for multiple projects with uncertain demand and project life cycles

Meimei Zheng; Hao Zhou; Peng Jiang; Ershun Pan; Shitao Zhao; Kan Wu

doi:10.1016/j.cor.2021.105312

Supplier selection problem for multiple projects with uncertain demand and project life cycles

Meimei Zheng
, Hao Zhou
, Peng Jiang
, Ershun Pan
, Shitao Zhao
, Kan Wu^*

^*Corresponding author for this work

Department of Industrial and Business Management

Shanghai Jiao Tong University
Sichuan University
Nanyang Technological University

Research output: Contribution to journal › Journal Article › peer-review

13 Scopus citations

Abstract

This study investigates a multi-project, multi-period, multi-factory and multi-objective supplier selection problem with project life cycles and demand uncertainty. For this problem, we establish a multi-stage mixed integer stochastic programming model with three objectives (i.e., the procurement cost, number of quality defects and delayed delivery quantity). An adapted chaos optimization algorithm based on a maximum similarity method is developed to solve the model. The effectiveness of our solutions is validated by the real data from the auto industry.

Original language	English
Article number	105312
Journal	Computers and Operations Research
Volume	132
DOIs	https://doi.org/10.1016/j.cor.2021.105312
State	Published - 08 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd

Keywords

Chaos optimization algorithm
Multi-objective optimization
Project life cycles
Stochastic demand

Access to Document

10.1016/j.cor.2021.105312

Cite this

@article{d56b51251af549a8986b747e5122ade8,

title = "Supplier selection problem for multiple projects with uncertain demand and project life cycles",

abstract = "This study investigates a multi-project, multi-period, multi-factory and multi-objective supplier selection problem with project life cycles and demand uncertainty. For this problem, we establish a multi-stage mixed integer stochastic programming model with three objectives (i.e., the procurement cost, number of quality defects and delayed delivery quantity). An adapted chaos optimization algorithm based on a maximum similarity method is developed to solve the model. The effectiveness of our solutions is validated by the real data from the auto industry.",

keywords = "Chaos optimization algorithm, Multi-objective optimization, Project life cycles, Stochastic demand",

author = "Meimei Zheng and Hao Zhou and Peng Jiang and Ershun Pan and Shitao Zhao and Kan Wu",

note = "Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",

year = "2021",

month = aug,

doi = "10.1016/j.cor.2021.105312",

language = "英语",

volume = "132",

journal = "Computers and Operations Research",

issn = "0305-0548",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Supplier selection problem for multiple projects with uncertain demand and project life cycles

AU - Zheng, Meimei

AU - Zhou, Hao

AU - Jiang, Peng

AU - Pan, Ershun

AU - Zhao, Shitao

AU - Wu, Kan

PY - 2021/8

Y1 - 2021/8

N2 - This study investigates a multi-project, multi-period, multi-factory and multi-objective supplier selection problem with project life cycles and demand uncertainty. For this problem, we establish a multi-stage mixed integer stochastic programming model with three objectives (i.e., the procurement cost, number of quality defects and delayed delivery quantity). An adapted chaos optimization algorithm based on a maximum similarity method is developed to solve the model. The effectiveness of our solutions is validated by the real data from the auto industry.

AB - This study investigates a multi-project, multi-period, multi-factory and multi-objective supplier selection problem with project life cycles and demand uncertainty. For this problem, we establish a multi-stage mixed integer stochastic programming model with three objectives (i.e., the procurement cost, number of quality defects and delayed delivery quantity). An adapted chaos optimization algorithm based on a maximum similarity method is developed to solve the model. The effectiveness of our solutions is validated by the real data from the auto industry.

KW - Chaos optimization algorithm

KW - Multi-objective optimization

KW - Project life cycles

KW - Stochastic demand

UR - https://www.scopus.com/pages/publications/85104482057

U2 - 10.1016/j.cor.2021.105312

DO - 10.1016/j.cor.2021.105312

M3 - 文章

AN - SCOPUS:85104482057

SN - 0305-0548

VL - 132

JO - Computers and Operations Research

JF - Computers and Operations Research

M1 - 105312

ER -

Supplier selection problem for multiple projects with uncertain demand and project life cycles

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this