A network-based decision tool to model uncertainty in supply chain operations-Reference-Cited by-同舟云学术

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A network-based decision tool to model uncertainty in supply chain operations

Published:2007-08-23 Issue:6 Volume:18 Page:526-535
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Blackhurst J.¹,Wu T.²,O’grady P.³

Affiliation:

1. a Logistics, Operations and MIS Department , College of Business, Iowa State University , 3131 Gerdin Business Building, Ames, Iowa 50011-1350

2. b Department of Industrial Engineering , Arizona State University , PO Box 875906, Tempe, Arizona 85287-5906

3. c Department of Mechanical and Industrial Engineering , Seamans Center, University of Iowa , Iowa City, Iowa 52242

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537280701492341

Reference25 articles.

1. Supply chain modelling and its analytical evaluation

2. Operations planning and flexibility in a supply chain

3. Network-based approach to modelling uncertainty in a supply chain

4. Modeling and Performance Evaluation of Supply Chains Using Batch Deterministic and Stochastic Petri Nets

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1. Integrated optimisation for production capacity, raw material ordering and production planning under time and quantity uncertainties based on two case studies;Operational Research;2020-10-03

2. Modelling testing mechanism for mitigating genetically modified wheat contamination risks;International Journal of Production Research;2018-05-10

3. Modeling and analysis of under-load-based cascading failures in supply chain networks;Nonlinear Dynamics;2018-02-15

4. Supply chain configuration conundrum: how does the pharmaceutical industry mitigate disturbance factors?;Production Planning & Control;2016-06-20

5. A literature review and a case study of sustainable supply chains with a focus on metrics;International Journal of Production Economics;2012-11

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