A scenario-based robust possibilistic-flexible programming model for responsive supply chain network design with a performance-oriented solution methodology-Reference-Cited by-同舟云学术

A scenario-based robust possibilistic-flexible programming model for responsive supply chain network design with a performance-oriented solution methodology

Published:2024-03 Issue: Volume:238 Page:121895
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Guo Yurong,Shi Quan,Wang Yadong,Song Mingchang,Wu Weiyi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference67 articles.

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2. Bi-objective stochastic model for the design of biofuel supply chains incorporating risk;Aboytes-Ojeda;Expert Systems with Applications,2022

3. Resilient closed-loop supply chain network design considering quality uncertainty: A case study of stone quarries;Arabi;Resources Policy,2023

4. Robust design of a green-responsive closed-loop supply chain network for the ventilator device;Asadi;Environmental Science and Pollution Research,2022

5. Designing profitable and responsive supply chains under uncertainty;Azaron;International Journal of Production Research,2021

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