A simulation-based decision support system to improve the resilience of the food supply chain-Reference-Cited by-同舟云学术

A simulation-based decision support system to improve the resilience of the food supply chain

Published:2021-08-31 Issue:9 Volume:34 Page:996-1010
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Tsiamas Konstantinos¹,Rahimifard Shahin¹

Affiliation:

1. Wolfson School, Mechanical Electrical and Manufacturing Engineering, Loughborough University, Loughborough, UK

Funder

Loughborough University

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2021.1946859

Reference52 articles.

1. Agriculture and Horticulture Development Board (AHDB). 2020. “GB Milk Production Could Hit 29 – Year High” Accessed 28 March 2020. https://dairy.ahdb.org.uk/news/news-articles/march-2019/201920-gb-milk-production-could-hit-29-year-high/#.XqGXCMhKiUk

2. Process Simulation Using WITNESS®

3. Al- Talib, M., Y. W. Melhem, A. Anosike I., A. J. Reyes G., P. S. Nadeem, and A. Kumar. 2020. “Achieving Resilience in the Supply Chain by Applying IoT Technology, CIRP Design 2020.”

4. Agribusiness supply chain risk management: A review of quantitative decision models

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