A solution procedure based on Lagrangian relaxation for supply chain planning problem with CSR investment

Takuya Aoyama, Tatsushi Nishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we consider a supply chain planning problem for a single manufacturer with corporate social responsibility (CSR) investment decision under uncertain demand. The activity of CSR is modeled as the investment to customers. In the mathematical model, we assume that the average demand increases if the investment of CSR is increased. The objective function is the total profit including the piecewise linear investment costs. The supply chain planning problem is formulated as a mixed integer nonlinear programming problem. An efficient solution procedure based on Lagrangian relaxation is developed. The effectiveness of the proposed method is confirmed from computational experiments.

Original languageEnglish
Title of host publicationIEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1603-1607
Number of pages5
ISBN (Electronic)9781467380669
DOIs
Publication statusPublished - 2016 Jan 18
Externally publishedYes
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 - Singapore, Singapore
Duration: 2015 Dec 62015 Dec 9

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2016-January
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015
CountrySingapore
CitySingapore
Period15/12/615/12/9

Keywords

  • CSR
  • Lagrangian relaxation
  • investment
  • supply chain
  • uncertain demand

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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