Supply Interruption Supply Chain Network Model with Uncertain Demand: An Application of Chance-Constrained Programming with Fuzzy Parameters | Zendy

Haidong Guo | Zendy; Shengyu Wang | Zendy; Yu Zhang | Zendy

Open Access

Supply Interruption Supply Chain Network Model with Uncertain Demand: An Application of Chance-Constrained Programming with Fuzzy Parameters

Author(s) -

Haidong Guo,

Shengyu Wang,

Yu Zhang

Publication year - 2021

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2021/6686992

Subject(s) - supply chain , fuzzy logic , supply chain network , computer science , sensitivity (control systems) , mathematical optimization , supply and demand , product (mathematics) , programming paradigm , operations research , reliability engineering , supply chain management , business , mathematics , economics , microeconomics , engineering , programming language , geometry , marketing , artificial intelligence , electronic engineering

The downstream supply interruption of manufacturers is a disaster for the company when the demand is uncertain in the market; a fuzzy programming with fuzzy parameters model of supply interruption supply chain network is established by simulating market operation rules. The aim of the current study is to build a fuzzy chance-constrained programming method which is developed for supporting the uncertainty of demand. This method ensured that the fuzzy constraints can be satisfied at specified confidence levels, leading to cost-effective solutions under acceptable risk magnitudes. Finally, through the case of the electronic product manufacturing enterprise, the feasibility and effectiveness of the proposed model are verified by adopting a sensitivity analysis of capacity loss level and minimizing objective function. Numerical simulation shows that selecting two manufacturing centers can effectively reduce the supply chain cost and maintain business continuity.

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