Optimal production decision based on corporate socisal responsibility in the supply chain

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

1 Citation (Scopus)

Abstract

This paper considers the optimal production decision considering Corporate Social Responsibility (CSR) in the supply chain. CSR is currently the most important measure to sustain continuous developments of companies by performing environment-friendliness and suitable social activity, and it is also essential for avoiding the latent risk. In this paper, we consider the evaluation of environmental conservation activities and resource recycling as CSR activities, and propose a new optimal production policy based on CSR. In mathematical programming, these CSR activities are formulated as fuzzy numbers due to linguistic and ambiguous information including several types of subjectivities, and so our proposed model is formulated as an uncertainty programming problem with both randomness and fuzziness. Therefore, performing deterministic equivalent transformations and considering the application in practice, the analytical and effective solution algorithm is developed.

Original languageEnglish
Title of host publication40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event40th International Conference on Computers and Industrial Engineering, CIE40 2010 - Awaji, Japan
Duration: 2010 Jul 252010 Jul 28

Other

Other40th International Conference on Computers and Industrial Engineering, CIE40 2010
CountryJapan
CityAwaji
Period10/7/2510/7/28

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Keywords

  • CSR
  • Fuzzy and stochastic programming
  • Optimal production decision

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

Cite this

Hasuike, T. (2010). Optimal production decision based on corporate socisal responsibility in the supply chain. In 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010 [5668212] https://doi.org/10.1109/ICCIE.2010.5668212