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Title: Ordered indices of the production structure of manufacturing systems based on an information-theoretic approach

Abstract

The production structure of a manufacturing system not only influences its transportation and operation cost, but also affects logistics and parts/machine assignment decisions. Based on the sending and feedback mechanisms of information, the principles of conditional entropy and classical probability are utilized to establish structure entropy models and ordered indices of the system with dynamic characteristics and generality, which provide effective solutions for the absence of quantitative method in evaluating the structural optimization of production system. In an empirical study, this paper analyzes different production structures when workpieces are processed by different working routes before and after the implementation of cellular manufacturing. Afterwards, the developed structure entropy models and ordered indices are utilized to calculate the orderliness of production structure under the two different states. The final result verifies well the validity of this quantitative method for evaluating the orderliness of production structures.

Authors:
; ; ;  [1]
  1. Nan Chang Hang Kong University, Economics and Management School (China)
Publication Date:
OSTI Identifier:
22769377
Resource Type:
Journal Article
Journal Name:
Computational and Applied Mathematics
Additional Journal Information:
Journal Volume: 37; Journal Issue: 1; Other Information: Copyright (c) 2018 SBMAC - Sociedade Brasileira de Matemática Aplicada e Computacional; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0101-8205
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICAL METHODS AND COMPUTING; ENTROPY; MANUFACTURING; OPTIMIZATION

Citation Formats

Zhang, Zhifeng, Rao, Dahai, Zuo, Hanyu, and Zhang, Xinyu. Ordered indices of the production structure of manufacturing systems based on an information-theoretic approach. United States: N. p., 2018. Web. doi:10.1007/S40314-016-0354-4.
Zhang, Zhifeng, Rao, Dahai, Zuo, Hanyu, & Zhang, Xinyu. Ordered indices of the production structure of manufacturing systems based on an information-theoretic approach. United States. doi:10.1007/S40314-016-0354-4.
Zhang, Zhifeng, Rao, Dahai, Zuo, Hanyu, and Zhang, Xinyu. Thu . "Ordered indices of the production structure of manufacturing systems based on an information-theoretic approach". United States. doi:10.1007/S40314-016-0354-4.
@article{osti_22769377,
title = {Ordered indices of the production structure of manufacturing systems based on an information-theoretic approach},
author = {Zhang, Zhifeng and Rao, Dahai and Zuo, Hanyu and Zhang, Xinyu},
abstractNote = {The production structure of a manufacturing system not only influences its transportation and operation cost, but also affects logistics and parts/machine assignment decisions. Based on the sending and feedback mechanisms of information, the principles of conditional entropy and classical probability are utilized to establish structure entropy models and ordered indices of the system with dynamic characteristics and generality, which provide effective solutions for the absence of quantitative method in evaluating the structural optimization of production system. In an empirical study, this paper analyzes different production structures when workpieces are processed by different working routes before and after the implementation of cellular manufacturing. Afterwards, the developed structure entropy models and ordered indices are utilized to calculate the orderliness of production structure under the two different states. The final result verifies well the validity of this quantitative method for evaluating the orderliness of production structures.},
doi = {10.1007/S40314-016-0354-4},
journal = {Computational and Applied Mathematics},
issn = {0101-8205},
number = 1,
volume = 37,
place = {United States},
year = {2018},
month = {3}
}