Chance Constrained Multi-objective Programming for Supplier Selection and Order Allocation under Uncertainty

Xi Li, Tomohiro Murata

研究成果: Conference contribution

抄録

This paper proposes a chance-constrained multi-objective goal programming model for supplier selection problem with uncertain factors. Considering uncertain factors of demand, capacity and lead time and several objectives, the proposed approach provides chance constraints leading to a order allocation decision-making result. The decision keeps the confidence and risk of constraints to a certain level. Therefore, the optimization model makes sure of the procurement cost, including purchasing cost and penalty cost, being restricted within an acceptable level according to the confidence and risk value initially set. The paper also provides a comparison between the conventional model (deterministic constraints) and proposed model (chance constraints) and shows the superiority of the latter.

本文言語English
ホスト出版物のタイトルProceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017
出版社Newswood Limited
ページ950-954
ページ数5
2228
ISBN(電子版)9789881404770
出版ステータスPublished - 2017 1 1
イベント2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 - Hong Kong, Hong Kong
継続期間: 2017 3 152017 3 17

Other

Other2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017
国/地域Hong Kong
CityHong Kong
Period17/3/1517/3/17

ASJC Scopus subject areas

  • コンピュータ サイエンス(その他)

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