An Economic Model for Justifying the Reduction of Delivery Variance in an Integrated Supply Chain-Reference-Cited by-同舟云学术

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An Economic Model for Justifying the Reduction of Delivery Variance in an Integrated Supply Chain

Published:2008-05 Issue:2 Volume:46 Page:147-153
ISSN:0315-5986
Container-title:INFOR: Information Systems and Operational Research
language:en
Short-container-title:INFOR: Information Systems and Operational Research

Author:

Guiffrida A. L.¹,Jaber M. Y.²,Rzepka R. A.³

Affiliation:

1. Department of Management and Information Systems, Kent State University, Kent, Ohio 44242 USA,

2. Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, Ontario M5B 2K3, Canada,

3. Rzepka and Associates, Alexandria, Virginia 22310, USA,

Publisher

Informa UK Limited

Subject

Computer Science Applications,Information Systems,Signal Processing

Link

https://www.tandfonline.com/doi/pdf/10.3138/infor.46.2.147

Reference31 articles.

1. Linking SCOR planning practices to supply chain performance

2. An exploratory investigation of the effects of supply chain complexity on delivery performance

3. An analysis of the supplier selection process

4. Performance measures and metrics in a supply chain environment

5. Delivery Performance and Throughput Efficiency in UK Manufacturing Industry

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Supply chain delivery performance improvement: a white-box perspective;International Journal of Production Research;2023-06-07

2. Optimal position of supply chain delivery window with risk-averse suppliers: A CVaR optimization approach;International Journal of Production Economics;2021-02

3. What is the value of delivering on time?;Journal of Advances in Management Research;2020-06-23

4. Reducing the cost of untimely supply chain delivery performance for asymmetric Laplace distributed delivery;Applied Mathematical Modelling;2015-07

5. Optimal position of supply chain delivery window: Concepts and general conditions;International Journal of Production Economics;2012-06

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