Lean production and transportation scheduling for dynamic supply chain management

Yoshitaka Tanimizu, Kana Harada, Chisato Ozawa, Koji Iwamura, Nobuhiro Sugimura

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

1 Citation (Scopus)

Abstract

This research proposes a two-layered supply chain model consisting of a set of clients and suppliers for dynamic supply chain management considering production and transportation scheduling problems. The model provides a method to optimize both production schedules and transportation schedules simultaneously, in order to estimate suitable prices and delivery times of products. A prototype of simulation system for dynamic supply chain management was developed and some computational experiments were carried out in order to verify the effectiveness of the model. Experimental results show that the prototype system is available to determine suitable production schedules and transportation schedules from the viewpoint of the number of contracted orders and the cost for wasteful shipping. copy; 2010 IEEE.

Original languageEnglish
Title of host publicationProceedings - INDIN 2010
Subtitle of host publication8th IEEE International Conference on Industrial Informatics
Pages869-874
Number of pages6
DOIs
Publication statusPublished - 2010 Sep 20
Event8th IEEE International Conference on Industrial Informatics, INDIN 2010 - Osaka, Japan
Duration: 2010 Jul 132010 Jul 16

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)1935-4576

Conference

Conference8th IEEE International Conference on Industrial Informatics, INDIN 2010
CountryJapan
CityOsaka
Period10/7/1310/7/16

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ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Cite this

Tanimizu, Y., Harada, K., Ozawa, C., Iwamura, K., & Sugimura, N. (2010). Lean production and transportation scheduling for dynamic supply chain management. In Proceedings - INDIN 2010: 8th IEEE International Conference on Industrial Informatics (pp. 869-874). [5549627] (IEEE International Conference on Industrial Informatics (INDIN)). https://doi.org/10.1109/INDIN.2010.5549627