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Modeling and analysis in supply chai...
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Baiyee-Mbi, Agbor-Baiyee.
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Modeling and analysis in supply chain design: Span of control, stochastic dissimilarities, and fuzzy optimization.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Modeling and analysis in supply chain design: Span of control, stochastic dissimilarities, and fuzzy optimization./
作者:
Baiyee-Mbi, Agbor-Baiyee.
面頁冊數:
180 p.
附註:
Source: Dissertation Abstracts International, Volume: 65-04, Section: A, page: 1473.
Contained By:
Dissertation Abstracts International65-04A.
標題:
Economics, Agricultural. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3130876
ISBN:
0496781243
Modeling and analysis in supply chain design: Span of control, stochastic dissimilarities, and fuzzy optimization.
Baiyee-Mbi, Agbor-Baiyee.
Modeling and analysis in supply chain design: Span of control, stochastic dissimilarities, and fuzzy optimization.
- 180 p.
Source: Dissertation Abstracts International, Volume: 65-04, Section: A, page: 1473.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.
US food and fiber systems are transforming into vertically coordinated structures. Effective modeling and analysis of the vertically coordinated systems should take into account inherent risks and uncertainties in its operating environment, interdependencies between decision-sets of the systems, and conflicting priorities of the constituent decision-makers of the coordinated systems.
ISBN: 0496781243Subjects--Topical Terms:
626648
Economics, Agricultural.
Modeling and analysis in supply chain design: Span of control, stochastic dissimilarities, and fuzzy optimization.
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Modeling and analysis in supply chain design: Span of control, stochastic dissimilarities, and fuzzy optimization.
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Source: Dissertation Abstracts International, Volume: 65-04, Section: A, page: 1473.
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Adviser: Mike Mazzocco.
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Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.
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US food and fiber systems are transforming into vertically coordinated structures. Effective modeling and analysis of the vertically coordinated systems should take into account inherent risks and uncertainties in its operating environment, interdependencies between decision-sets of the systems, and conflicting priorities of the constituent decision-makers of the coordinated systems.
520
$a
The importance of those characteristics on effective analysis motivates us to adopt fuzzy optimization methods to address specific supply chain issues. Fuzzy optimization can model multiple and conflicting decisions in a vertically coordinated system. It yields a compromise solution that is based on tradeoffs between membership functions that are used to incorporate uncertainties. Those tradeoffs align conflicting priorities, and account for interdependencies in the system.
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This study model and analyze specific issues in a three-level, multi-period, multi-firm, and multi-product grain supply chain. The objectives are: (A) To conceptualize a supply chain as composed of stochastic dissimilarities and to model a generic three-level supply chain problem using five fuzzy optimization techniques. (B) To model, analyze (simultaneously and sequentially), and compare the performance of three grain supply chain span of control designs. (C) To test the influence of linear, exponential, and hyperbolic, membership functions on the grain supply chain performance. (D) To analyze the relative impact product quality, supply reliability, and transaction costs on the grain supply chain performance. Performance is measured in terms of global satisfaction level, total supply chain profits, firm level profits, supply chain costs.
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The major findings are: (A) under simultaneous and sequential analysis, performance increased with span of control. (B) Sequential results outperformed the simultaneous results at all performance measures. (C) Production level profit is highest under exponential membership function, storage level under linear membership function, and processing level under hyperbolic membership function. (D) Supply chain performance is enhanced but not significantly when the product quality, supply reliability, and transaction costs are prioritized to reflect relative importance.
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