Multi-objective two-echelon location-distribution of non-medical products

Abbassi, A.; Kharraja, Saïd; Alaoui, A. El; Boukachour, Jaouad; Paras, Denis

doi:10.1080/00207543.2020.1777479

Cited by 22 publications

(12 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A complete process of the VNS algorithm is able to found in Lu et al (2020) . VNS has been successfully employed in different optimization problems in supply chain management fields such as cross-docking ( Ranjbar and Saber, 2020 ), allocation–location ( Abbassi et al, 2020 ), inventory control, and network design ( Kuo et al, 2020 ), and distribution–production problems ( Tayebi-Araghi et al, 2020 ). VNS starts with an initialization procedure, while indicates in Fig.…”

Section: Presented Hybrid Meta-heuristic Algorithmsmentioning

confidence: 99%

An integrated sustainable medical supply chain network during COVID-19

Goodarzian

Taleizadeh

Ghasemi

et al. 2021

Engineering Applications of Artificial Intelligence

180

View full text Add to dashboard Cite

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.

show abstract

Section: Presented Hybrid Meta-heuristic Algorithmsmentioning

confidence: 99%

An integrated sustainable medical supply chain network during COVID-19

Goodarzian

Taleizadeh

Ghasemi

et al. 2021

Engineering Applications of Artificial Intelligence

180

View full text Add to dashboard Cite

show abstract

“…Abbassi et al ( 2021 ) addressed the two-echelon location distribution problem for non-medical products and developed a multi-objective mathematical formulation considering the two objective functions of minimizing the total distribution cost and minimizing the total time of the distribution horizon. They used particle swarm optimization (PSO) and genetic algorithms to solve a real case of the distribution of non-medical products and then evaluated the efficiency and validation of the algorithms.…”

Section: Literature Reviewmentioning

confidence: 99%

Green two-echelon closed and open location-routing problem: application of NSGA-II and MOGWO metaheuristic approaches

Heidari

Imani

Khalilzadeh

et al. 2022

Environ Dev Sustain

View full text Add to dashboard Cite

Nowadays organizations outsource transportation of goods or services to reduce cost which leads to a particular type of problem called open location-routing. Also, each logistic organization possesses a limited number of specific vehicles that may not be enough in certain circumstances. This issue indicates the importance of simultaneously considering both open and closed routs. On the other hand, the growing concerns about the detrimental environmental impacts of human activities reveal the necessity of paying attention to environmental issues in logistics. In this study, a bi-objective mathematical programming model is proposed for two-echelon close and open location-routing problem (2E-COLRP) including two echelons of factories, depots and customers to minimize costs and CO 2 emissions. The proposed model finds the optimal routs, optimal number of vehicles and facilities as well as the locations of facilities. The augmented epsilon constraint method is used as an exact method to solve the small-sized problems. Due to complexity of model, two metaheuristic algorithms named MOGWO and NSGA-II are utilized to tackle the problems. The efficiency of two aforementioned algorithms is evaluated in terms of several indices considering 22 problem instances with various sizes. The results show that MOGWO performs better than NSGA-II.

show abstract

“…The pharmaceutical supply chain covers many links such as raw material supply companies, pharmaceutical enterprises, terminal drugs sales agencies, and patients ( 1 ). The pharmaceutical supply chain is complex, and there are many drugs quality risk nodes ( 2 ), and there are problems such as non-standard drugs production testing and imperfect supervision mechanisms, which have become a research hotspot. Provide a competitive pharmaceutical supply chain under the product life cycle ( 3 ), supervise activities in the supply chain ( 4 ), and avoid monopoly ( 5 ) and collusion ( 6 ) among pharmaceutical supply chain entities, so as to better provide pharmaceutical retail services.…”

Section: Relevant Literaturementioning

confidence: 99%

Drugs quality supervision strategy of different distribution channels in pharmaceutical supply chain

Zhang

Zhu

2022

Front. Public Health

View full text Add to dashboard Cite

Aiming at the dual-channel pharmaceutical supply chain, which consists of two distribution channels, offline medical institutions, and online e-commerce platforms, and taking into account the impact of different strategic choices made by relevant stakeholders on the drugs quality of different distribution channels, this article constructs an evolutionary game model involving the participation of government regulator, pharmaceutical enterprises, medical institutions, and pharmaceutical e-commerce companies. The stable equilibrium points of each participant's strategic choices are solved; the stability of strategic combination is analyzed by Lyapunov's first method, and MATLAB 2020b is used for simulation to verify the influence of each decision variable on the strategic choice of different participants. The results show that, first, the purpose of punishment is to ensure the drugs quality in the pharmaceutical supply chain, but when the fine is too high, it will restrain the economic behavior of pharmaceutical enterprises, which is not conducive to the performance of social responsibilities by other relevant participants. Second, the probability that government regulator strictly supervises the pharmaceutical supply chain and the probability that pharmaceutical enterprises provide high-quality drugs are negatively related to their additional cost. Third, whether medical institutions and pharmaceutical e-commerce companies choose inspection is affected by multiple factors such as inspection cost, sales price, and sales cost. Furthermore, when the penalty for non-inspection of pharmaceutical e-commerce companies is greater than the threshold Fm0, it can ensure that it chooses an inspection strategy. Finally, this article puts forward countermeasures and suggestions on the drugs quality supervision of different distribution channels in the pharmaceutical supply chain.

show abstract

Multi-objective two-echelon location-distribution of non-medical products

Cited by 22 publications

References 43 publications

An integrated sustainable medical supply chain network during COVID-19

An integrated sustainable medical supply chain network during COVID-19

Green two-echelon closed and open location-routing problem: application of NSGA-II and MOGWO metaheuristic approaches

Drugs quality supervision strategy of different distribution channels in pharmaceutical supply chain

Contact Info

Product

Resources

About