Green supply chain network design considering inventory-location-routing problem: a fuzzy solution approach

Gholipour, Sobhgol; Ashoftehfard, Amir; Mina, Hassan

doi:10.1504/ijlsm.2020.106272

Cited by 12 publications

(9 citation statements)

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“…ϵ-constraint ϵ-constraint [6,14,55,104,114,134,136,138,146]; Augmented ϵ-constraint [5,8,27,71,109,[122][123][124]131,132,139,140] Goal programming [108,112,114,126,133,136] Exact method [20,22,56,57,99,103,106,[117][118][119]137] Fuzzy solution approach Fuzzy approach [28,34,47,61,129]; interactive fuzzy approach [45]; ϵ-constraint and fuzzy set theory [102]; fuzzy goal programming [135] Others AHP and TOPSIS [12]; Lagrangian relaxation approach [23]; four-stage hybrid method…”

Section: Solution Methods Articlesmentioning

confidence: 99%

“…Zahiri et al [61] provided a novel fuzzy possibilistic-stochastic programming approach and solved the model through a new Pareto-based lower bound method as well as an EA-based algorithm. Gholipour et al [34] applied a fuzzy solution strategy on a bi-objective mathematical model by considering the fuzzy membership function. Balaman et al [102] combined the fuzzy set theory and the ϵ-constraint method in order to address the uncertainties of economic and environmental sustainability aspects, while also capturing the trade-off between the two objectives.…”

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 2 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: Solution Methods Articlesmentioning

confidence: 99%

Section: (A) Models With a Single Objectivementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Madani,

Saihi,

Abdelfatah

2024

Sustainability

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“…The fuzzy approach proposed by Zimmermann (1978) and Lin (2012) was used to solve the model by GAMS/CPLEX, and the solution obtained for a real-world case was within a relative optimality gap of less than 5 percent. Similar work is also presented by Gholipour et al (2020), in which total cost, including fuel costs, and shortages were minimized by utilizing the fuzzy membership function of Govindan et al (2020) in order to deal with demand uncertainty. GAMS/CPLEX was used to validate the model, and sensitivity analysis was performed with respect to demand reduction and demand increase.…”

Section: Inventorymentioning

confidence: 99%

Bi- and multi-objective location routing problems: classification and literature review

Tadaros

Migdalas

2022

Oper Res Int J

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The facility location problem and the vehicle routing problem are highly interdependent and critical parts of any efficient and cost-effective supply chain. The location of facilities heavily affects the design of distribution routes between the facilities and various demand nodes. Within locational analysis, the location-routing problem is a mathematical optimization problem that considers the underlying issues of vehicle routing and simultaneously optimizes the location of facilities and the design of distribution routes. Since, in real-life applications, it is common that decision-makers encounter more than one, often conflicting objectives, the problem can be stated in term of multi-objective optimization. This paper reviews 80 journal articles published in the field of bi- and multi-objective location-routing problems between 2014 and 2020. Included papers are classified based on several factors covering model assumptions and characteristics, objectives, solution approaches, and application area. For each application area, individual papers are presented and discussed. The paper concludes with remarks and suggestions for future research.

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“…Gholipour et al assessed the integrated green supply chain network design and inventory-location problem. In order to optimize it, a fuzzy solution approach is applied for this purpose [16].…”

Section: 1mentioning

confidence: 99%

Green cross-dock based supply chain network design under demand uncertainty using new metaheuristic algorithms

Goli

Gholipour-Kanani

2022

JIMO

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This study concerns the optimization of green supply chain network design under demand uncertainty. The issue of demand uncertainty has been addressed using a scenario-based analysis approach. The main contribution of this research is to investigate the optimization of cross-dock based supply chain under uncertainty using scenario-based formulation and metaheuristic algorithms. The problem has been formulated as a two-objective mathematical model with the objectives of minimizing the costs and minimizing the environmental impact of the supply chain. Two metaheuristic algorithms, namely non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective invasive weed optimization (MOIWO), have been developed to optimize this mathematical model. This paper focuses on the use of new metaheuristic algorithms such as MOIWO in green supply chain network design, which has received less attention in previous studies. The performance of the two solution methods has been evaluated in terms of three indices, which measure the quality, spacing, and diversification of solutions. Evaluations indicate that the developed MOIWO algorithm produces more Pareto solutions and solutions of higher quality than NSGA-II. A performance test carried out with 31 problem instances of different sizes shows that the two methods perform similarly in terms of the spread of solutions on the Pareto front, but MOIWO provides higher quality solutions than NSGA-II.

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Green supply chain network design considering inventory-location-routing problem: a fuzzy solution approach

Cited by 12 publications

References 0 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

Bi- and multi-objective location routing problems: classification and literature review

Green cross-dock based supply chain network design under demand uncertainty using new metaheuristic algorithms

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