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IJAT Vol.6 No.3 pp. 322-330
doi: 10.20965/ijat.2012.p0322
(2012)

Paper:

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Multi-Objective Production and Transportation Scheduling Considering Carbon Dioxide Emissions Reductions in Dynamic Supply Chains

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

Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Naka-ku, Sakai, Osaka 599-8531, Japan

Received:
November 1, 2011
Accepted:
March 27, 2012
Published:
May 5, 2012
Creative Commons License
Keywords:
green supply chain, scheduling, transportation plan, carbon dioxide emissions, multi-objective genetic algorithm
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.
Cite this article as:
Y. Tanimizu, K. Amano, K. Harada, C. Ozawa, and N. Sugimura, “Multi-Objective Production and Transportation Scheduling Considering Carbon Dioxide Emissions Reductions in Dynamic Supply Chains,” Int. J. Automation Technol., Vol.6 No.3, pp. 322-330, 2012.
Data files:
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