The Library
Supply chain modelling using fuzzy sets
Tools
UNSPECIFIED (1999) Supply chain modelling using fuzzy sets. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 59 (1-3). pp. 443-453. ISSN 0925-5273.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Abstract
This paper considers a production supply chain (SC) with all facilities in a serial connection. The SC includes inventories and production facilities between them. It is assumed that the SC operates in an uncertain environment. Uncertainty is associated with: (1) customer demand, (2) supply deliveries along the SC and (3) external or market supply, Uncertainties are described by vague and imprecise phrases that are interpreted and represented by fuzzy sets.
The SC fuzzy model described in this paper is developed to determine the order quantities for each inventory in the SC in the presence of uncertainties, that give an acceptable service level of the SC at reasonable total cost. Two control concepts of the SC are treated: (1) decentralised control of each inventory and (2) partial coordination in the inventories control. A special purpose simulator has been developed for examining the dynamics and performance of all the parts of the SC and the SC as a whole. Various simulation tests have been carried out to assess particularly the effects of uncertain external supply on the SC service level. Different approaches to improve SC performance in an uncertain environment have been simulated and analysed. (C) 1999 Published by Elsevier Science B.V. All rights reserved.
Item Type: | Journal Article | ||||
---|---|---|---|---|---|
Subjects: | T Technology T Technology > TS Manufactures H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
||||
Journal or Publication Title: | INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS | ||||
Publisher: | ELSEVIER SCIENCE BV | ||||
ISSN: | 0925-5273 | ||||
Official Date: | 20 March 1999 | ||||
Dates: |
|
||||
Volume: | 59 | ||||
Number: | 1-3 | ||||
Number of Pages: | 11 | ||||
Page Range: | pp. 443-453 | ||||
Publication Status: | Published |
Data sourced from Thomson Reuters' Web of Knowledge
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |