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Cited by 68Sustainable Supply Chain ManagementOptimization and Mathematical ProgrammingSupply Chain and Inventory Management

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

An environmental optimization model to configure a hybrid forward and reverse supply chain network under uncertainty

Tosarkani, Babak Mohamadpour, Amin, Saman Hassanzadeh·2019·Computers & Chemical Engineering
DOI 10.1016/j.compchemeng.2018.11.014
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Abstract

Abstract The configuration of facility locations is a strategic decision which is impossible to be changed in a short-term. There are several parameters incorporating to make such decision that fluctuate in different situations. Those unpredictable changes cause some risks and complexities for the businesses in long-run. The objective of this research is to design a multi-echelon lead acid battery closed-loop supply chain (CLSC) network under uncertainty. To this aim, a fully fuzzy programming (FFP) method and stochastic programming are integrated (FFSP) to address various scenarios to maximize network's profit. Furthermore, second objective is introduced to maximize the environmental compliance of suppliers, plants, and battery recovery centers. Then, distance technique is utilized for solving the fuzzy stochastic multi-objective problem. The application of the proposed model is illustrated in a network in Winnipeg, Canada.

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Crossref · 10.1016/j.compchemeng.2018.11.014

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Metadata

Authors
Tosarkani, B. M., & Amin, S. H.
Affiliations
Toronto Metropolitan University (CA)
Corresponding author
Amin, Saman Hassanzadeh
ORCID
Venue
Computers & Chemical Engineering
Publisher
Elsevier BV
Published
2019-02
Volume
121
Pages
540-555
ISSN
0098-1354 (ISSN-L)
DOI
10.1016/j.compchemeng.2018.11.014
OpenAlex
W2901020748
Cited by
68
References
61
Citations by year
2026: 4 · 2025: 11 · 2024: 9 · 2023: 7 · 2022: 15 · 2021: 9 · 2020: 11 · 2019: 2
FWCI
9.19
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
Computers & Chemical Engineering (publishedVersion)
Funders
Natural Sciences and Engineering Research Council of Canada (RGPIN-2017)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimization and Mathematical Programming
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Supply Chain and Inventory Management
Keywords
closed-loop supply chain, facility location, lead-acid battery recycling, reverse logistics, multi-echelon supply chain, multi-objective optimization, environmental compliance, supply chain network design, uncertainty

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CoChat. (2026). Citation check: An environmental optimization model to configure a hybrid forward and reverse supply chain network under uncertainty. https://app.cochat.ai/papers/10.1016/j.compchemeng.2018.11.014
The paper
Tosarkani, B. M., & Amin, S. H. (2019). An environmental optimization model to configure a hybrid forward and reverse supply chain network under uncertainty. Computers & Chemical Engineering. https://doi.org/10.1016/j.compchemeng.2018.11.014

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.