Toward a safe supply chain: Incorporating accident, physical, psychosocial and mental overload risks into supply chain network

Considering health and safety factors in supply chain network design brings safer place for employee and helps firm to have better image in the society. There are many health and safety factors overlooked by literature studies of supply chain. This paper takes advantage of the results of occupationa...

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Bibliographic Details
Published in:Environment, development and sustainability Vol. 25; no. 6; pp. 5579 - 5595
Main Authors: Karimi, Sajad, Ardalan, Zaniar, Poursabzi, Omid, Naderi, B.
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01.06.2023
Springer Nature B.V
Subjects:
Accidents
Algorithms
Closed loops
Constraint modelling
Decision analysis
Decision makers
Earth and Environmental Science
Ecology
Economic Geology
Economic Growth
Environment
Environmental Economics
Environmental Management
Health
Integer programming
Linear programming
Medical decision making
Mental health
Mixed integer
Multiple objective analysis
Network design
Networks
Objective function
Objectives
occupational health and safety
Occupational safety
Occupations
Overloading
Pollution
Psychosocial factors
Risk
Safety
Safety factors
Supply
supply chain
Supply chains
Sustainable Development
Transportation industry
Augmented epsilon constraint algorithm
Health and safety
Greenhouse gas emissions
Multi-objective
Closed-loop supply chain network
ISSN:1387-585X, 1573-2975
Online Access:Get full text
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Summary:Considering health and safety factors in supply chain network design brings safer place for employee and helps firm to have better image in the society. There are many health and safety factors overlooked by literature studies of supply chain. This paper takes advantage of the results of occupational safety and health in the transport sector studies and connects this field of science with the supply chain network design. This study incorporates health and safety factors such as accident, physical, psychosocial and mental overload risks as an objective function besides cost- and environmental-oriented objective functions. We formulated a multi-objective closed-loop supply chain network as a mixed integer linear programming model and customized augmented epsilon constraint algorithm to solve our multi-objective problem to offer multiple choices for decision makers. Eventually, we analyzed the effects of incorporating health and safety factors in supply chain and demonstrated how it will minimize the health and safety risks of supply chain employees, environmental pollution and the total cost of the network simultaneously.
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ISSN:1387-585X
1573-2975
DOI:10.1007/s10668-022-02281-y