A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: A comparison of meta-heuristics

Goodarzian, Fariba; Hosseini-Nasab, Hasan; Muñuzuri, Jesús; Fakhrzad, Mohammad Bagher

doi:10.1016/j.asoc.2020.106331

Cited by 135 publications

(74 citation statements)

References 45 publications

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“… I22 Uncertainty “Uncertainty” refers to a state that cannot be directly expressed by a certain amount of information, which describes a situation that cannot be ascertained, or where there are different possibilities. Liao et al (2019); Sato et al (2020) ; Samani et al (2020) ; Goodarzian et al (2020) ; Sureeyatanapas et al (2020) ; Dutta & Shrivastava (2020) ; Paul et al (2020) ; Fattahi & Govindan (2020) ; Darby et al (2020) ; Soren & Shastri (2019) ; Salehi et al (2019) ; Xiao et al (2019) ; Uddin & Huynh (2019) ; Pashapour et al (2019) ; Diabat et al (2019) ; Alvarado-Vargas & Kelley (2019) ; Sreedevi & Saranga (2017) . …”

Section: Resultsmentioning

confidence: 99%

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

180

119

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Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.

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Section: Resultsmentioning

confidence: 99%

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

180

119

View full text Add to dashboard Cite

show abstract

“…On the other hand, since utilizing meta-heuristic algorithms is the most suitable method in tackling such NP-hard problems, there are several previous papers in this field. Instances contain Devika et al (2014) , Vahdani et al (2017) , Sabouhi et al (2018) , Fakhrzad et al (2018) , Mani and Gunasekaran (2018) , Fakhrzad et al (2019) , Roshan et al (2019) , Ghasemi et al (2019) , Goodarzian and Hosseini-Nasab (2019) , Govindan et al (2019) , Viegas et al (2019) , Halim et al (2019) , Zandkarimkhani et al (2020) , Ghasemi and Khalili-Damghani (2020) , Liu et al, 2020a , Liu et al, 2020b , Goodarzian et al (2020a) , Ghasemi et al (2020) , Ang et al (2020) , Goodarzian et al (2020b) , Goodarzian et al (2021) , and Fathollahi-Fard et al (2020) .…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this subsection, various efficiency evaluation metrics are employed to quantitatively compare the quality of attained Pareto front and non-dominated solutions by the mentioned above algorithms. Hence, different efficiency metrics should be used simultaneously, according to the incommensurable nature and confliction of measures in evaluating the quality of approximate Pareto sets ( Goodarzian et al, 2020a ). Along the way, six assessment metrics are employed as follows:…”

Section: Computational Experimentsmentioning

confidence: 99%

An integrated sustainable medical supply chain network during COVID-19

Goodarzian

Taleizadeh

Ghasemi

et al. 2021

Engineering Applications of Artificial Intelligence

Self Cite

180

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Nowadays, in the pharmaceutical industry, a growing concern with sustainability has become a strict consideration during the COVID-19 pandemic. There is a lack of good mathematical models in the field. In this research, a production–distribution–inventory–allocation–location problem in the sustainable medical supply chain network is designed to fill this gap. Also, the distribution of medicines related to COVID-19 patients and the periods of production and delivery of medicine according to the perishability of some medicines are considered. In the model, a multi-objective, multi-level, multi-product, and multi-period problem for a sustainable medical supply chain network is designed. Three hybrid meta-heuristic algorithms, namely, ant colony optimization, fish swarm algorithm, and firefly algorithm are suggested, hybridized with variable neighborhood search to solve the sustainable medical supply chain network model. Response surface method is used to tune the parameters since meta-heuristic algorithms are sensitive to input parameters. Six assessment metrics were used to assess the quality of the obtained Pareto frontier by the meta-heuristic algorithms on the considered problems. A real case study is used and empirical results indicate the superiority of the hybrid fish swarm algorithm with variable neighborhood search.

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“…Hence, the literature has seen several metaheuristics that were ordered to solve these NP-hard problems [28][29][30]. Among them, GA and PSO as a wellknown population-based metaheuristic algorithm outperform most of the similar ones [31]. This advantage motivates us to use it again in our research.…”

Section: Solution Methodologymentioning

confidence: 99%

“…Besides, No Free Lunch theory says that there is no metaheuristic to show a good performance for all optimization problems [30]. Accordingly, the recent decade has seen a rapid development of metaheuristic methods [30,31]. In this study, two nature-inspired algorithms, namely, GA and PSO as a population-based metaheuristic is used.…”

Section: Solution Methodologymentioning

confidence: 99%

A Multi-objective Sustainable Medicine Supply Chain Network Design Using a Novel Hybrid Multi-objective Metaheuristic Algorithm

Goodarzian

Hosseini-Nasab

Fakhrzad

2020

IJE

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End-of-life products have a severe impact on the ecological system. Potential production policies and distribution strategies for the newly manufactured product have attracted significant attention to sustainable development. Sustainability in supply chain management has much importance to achieve eco-friendly goals. In this study, we have developed sustainable objectives in the supply chain optimization framework with different constraints. The trade-off between economic, environmental and social effects objectives have identified by ensuring the optimal allocation of different products among various levels. In this regard, a new sustainability multi-objective mixed-integer linear programming mathematical model in the medicine supply chain network is developed. Although the proposed model is an NP-hard problem, we develop a novel hybrid Particle Swarm Optimization and Genetic Algorithm to achieve Pareto solutions. Then, to adjust the important parameters of the algorithms and chose the optimum levels of the significant factors for more efficiency is employed the Taguchi method. The results show that the economic and environmental effects tend to be decreased and the social impacts tend to be increased in the medicine supply chain network which can exhibit the best sustainability performance. The various outcomes of numerical experiments indicate that the proposed solution algorithm is more reliable than other algorithms. The solution methods are complemented with several sensitivity analyses on the input parameters of the model.

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A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: A comparison of meta-heuristics

Cited by 135 publications

References 45 publications

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

An integrated sustainable medical supply chain network during COVID-19

A Multi-objective Sustainable Medicine Supply Chain Network Design Using a Novel Hybrid Multi-objective Metaheuristic Algorithm

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