Multi-objective production and transportation scheduling considering carbon dioxide emissions reductions in dynamic supply chains

Yoshitaka Tanimizu, Katuhumi Amano, Kana Harada, Chisato Ozawa, Nobuhiro Sugimura

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Previous studies have proposed a dynamic configuration method for two-layered supply chains consisting of a set of clients and suppliers. The proposed method provides suitable delivery times and prices of products through the modification process of production schedules of the suppliers and the negotiation process between the clients and the suppliers in consideration of transportation constraints. This research proposes a new supply chain model extended for carbon dioxide emissions reductions in the two-layered dynamic supply chains. The suppliers provide transportation plans to reduce carbon dioxide emissions in transportation processes without losing chances to enter into a large number contracts with the clients. The effectiveness of the proposed model is verified through computational experiments from the viewpoints of both the amount of carbon dioxide emitted in transportation processes and the profits of the suppliers.

Original languageEnglish
Pages (from-to)322-330
Number of pages9
JournalInternational Journal of Automation Technology
Volume6
Issue number3
DOIs
Publication statusPublished - 2012 May

Keywords

  • Carbon dioxide emissions
  • Green supply chain
  • Multi-objective genetic algorithm
  • Scheduling
  • Transportation plan

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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