Multi‐criteria supply chain network design using interactive decision maps

Fragoso, Rui; Bushenkov, Vladimir A.; Ramos, Manoel João

doi:10.1002/mcda.1744

Cited by 2 publications

(5 citation statements)

References 59 publications

(58 reference statements)

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“…The model specifically targets four objectives: a cost-based objective, an environmental objective concentrating on carbon emission, exhaust emission, wastewater discharge, and solid waste discharge, and two social objectives (i.e., employment and accident rate). Fragoso et al [33] investigated a regional supply chain network in the fishing industry and presented a multi-objective model with six objectives, four of which are economic, one environmental, and one social. Finally, a unique mathematical model for an integrated strategic-tactical SCND problem to quantify the concurrent effects of resilience and sustainability was proposed [129].…”

Section: Mathematical Modelsmentioning

confidence: 99%

“…Other methods are introduced and used to solve the multi-objective optimization models [12,23,32,33,108,121,128,130,142,143]. Sharefati et al [12] utilized multi-criteria decision approaches to examine the three pillars of sustainability and identify certain indicators related to the social element.…”

Section: (A) Models With a Single Objectivementioning

confidence: 99%

“…Heidari-Fathian and Pasandideh [23] developed an algorithm based on the Lagrangian relaxation approach to solve the MINLP model. Fragoso et al [33] considered a multi-objective MIP model for a regional supply chain network in the fish processing industry. The model and decision-making process were examined using interactive decision maps to approximate and visualize the Pareto frontier in criteria space.…”

Section: (A) Models With a Single Objectivementioning

confidence: 99%

“…It may involve maximizing the positive social impact, which includes social justice, the rights of stakeholders such as employees, consumers, and communities [17,26,27], and creating job opportunities [6,8,28]. It can also involve minimizing the negative environmental impact such as greenhouse gas (GHG) emissions [24,29,30], waste [31,32], and energy depletion [33,34]. Nevertheless, minimizing supply chain cost is the conventional objective considered in most network designs.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends

Madani,

Saihi,

Abdelfatah

2024

Sustainability

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In response to the ever-increasing pursuit of competitiveness among organizations in today’s global business landscape, the subject of supply chain management has become a vital domain encompassing a wide range of sectors and industries across the economy. The growing concern about sustainable development has prompted public and private supply chain players to incorporate the three pillars of sustainability, namely, economic, environmental, and social, into the design of their supply chain networks. This study reviews and examines the content of 102 relevant papers to discuss the mathematical models, modeling approaches, and solutions that have been explored in the existing literature on forward sustainable supply chain network design. This paper also investigates the sustainability elements and supply chain network peculiarities including design factors and decision levels. In this review, several limitations in the current literature on sustainable supply chain network design optimization models are highlighted. According to the analysis, it was found that a better understanding of the industry and its sustainability requirements and priorities is essential for designing sustainable supply chain networks that are tailored to the needs of a specific industry rather than achieving general sustainability objectives. In addition, integrating strategic, tactical, and operational decision levels in the design of supply chain networks is critical for evaluating their impact on each other in terms of sustainability. More sophisticated mathematical solution methods for dealing with real-life scenarios including nonlinearity and uncertainty sources are required. The paper concludes with new prospects of research to promote a better integration of sustainability into supply chain networks.

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Section: Mathematical Modelsmentioning

confidence: 99%

Section: (A) Models With a Single Objectivementioning

confidence: 99%

Section: (A) Models With a Single Objectivementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends

Madani,

Saihi,

Abdelfatah

2024

Sustainability

View full text Add to dashboard Cite

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“…The ε-constraint method is used to validate small-scale problems. Fragoso et al ( 2021 ) suggested a multi-objective mixed integer model for a regional fish processing industry SC network. The model and decision-making process was examined using Pareto frontier approximation and visualization.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a sustainable fish closed-loop supply chain network under uncertainty

Fasihi

Tavakkoli–Moghaddam

Hajiaghaei–Keshteli

et al. 2023

Environ Sci Pollut Res

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There is increasing attention to the sustainable development of supply chain (SC) and reverse logistics (RL) in the contemporary competitive economy, notably in the food sector, by scholars and stakeholders. This study investigates a sustainable closed-loop supply chain (CLSC) for fish due to its high value in the family food basket, its perishability, and the importance of waste product recycling. A multi-objective mathematical model is developed under uncertainty and sustainability criteria to optimize production rates with the aim of better distribution among different demand markets, total costs, social issues, and negative environmental effects (e.g., CO 2 emissions and unused/waste products). A combination of exact, meta-heuristic, and hybrid meta-heuristic algorithms are used to solve the suggested model. Then, the optimal solutions are found using the Taguchi method by evaluating the best initial replies. The solutions are evaluated based on various performance metrics. The analysis of variance (ANOVA) and the “filtering/displaced ideal solution” methods determine the best solution approach. Moreover, a case study with a trout CLSC in Northern Iran is examined. In addition, the Lingo software utilizes the ε-constraint method to evaluate and check the performance of the algorithms under different levels of uncertainty. Finally, sensitivity analyses are carried out to confirm the efficacy of the proposed algorithms. The findings demonstrate the proposed network’s outstanding consistency with the algorithms used and its application and efficiency.

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Multi‐criteria supply chain network design using interactive decision maps

Cited by 2 publications

References 59 publications

A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends

A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends

Designing a sustainable fish closed-loop supply chain network under uncertainty

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