Reverse flows within the pharmaceutical supply chain: A classificatory review from the perspective of end-of-use and end-of-life medicines

Viegas, Cláudia Viviane; Bond, Alan; Vaz, Caroline Rodrigues; Bertolo, Rubem João

doi:10.1016/j.jclepro.2019.117719

Cited by 51 publications

(30 citation statements)

References 142 publications

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“…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%

An integrated sustainable medical supply chain network during COVID-19

Goodarzian

Taleizadeh

Ghasemi

et al. 2021

Engineering Applications of Artificial Intelligence

157

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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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Section: Literature Reviewmentioning

confidence: 99%

An integrated sustainable medical supply chain network during COVID-19

Goodarzian

Taleizadeh

Ghasemi

et al. 2021

Engineering Applications of Artificial Intelligence

157

View full text Add to dashboard Cite

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“…The reverse logistics is based on all the logistic activities required to transform used products into reusable products [79]. Being products classified according to the remaining useful life and their status, the information to be gathered on the product side are product condition [80], product lifecycle stage, product design, inventory of returned products, product perishability, product complexity and hazardous material composition [81]. Moreover, considering the uncertainties regarding the returned products, there should be the necessity to gather data regarding time, quality, quantity, and types of returned products, to then develop a plan and decide whether to recondition, reuse or sell the returned product in a secondary market [49].…”

Section: Closed-loop Supply Chain and Reverse Logisticsmentioning

confidence: 99%

A Systematic Literature Review on Data and Information Required for Circular Manufacturing Strategies Adoption

et al. 2021

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In the extant literature, circular economy (CE) is considered a driver for sustainable development of the manufacturing sector, being it an industrial paradigm aiming at regenerating resources. CE is transferred to manufacturing companies through the adoption of different Circular Manufacturing (CM) strategies (e.g., recycling, remanufacturing, etc.). Nowadays, manufacturers are struggling to implement these strategies to limit their resource consumption and pollution generation. To enable their adoption, the extant literature unveiled the importance to control along the entire value chain different types of resource flows (i.e., material, energy, and information). Nevertheless, while for material and energy management some advancements were achieved, information management and sharing remains one of the major barriers in adopting these strategies. The present work, through a systematic literature review, aims to identify the relevant information and data required to support the manufacturer’s decision process in adopting and managing the different CM strategies to pursue the transition towards CM. Furthermore, based on the results obtained, this research proposes a theoretical framework. It elucidates the four main areas to be managed by manufacturers in adopting CM strategies and it provides to the manufacturer an overview of what should be updated and upgraded inside the company to embrace CM strategies.

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“…Cost effectiveness analysis for a complete medicine reuse ecosystem based on the proposed IoPT concept is a complicated process which mainly involves (i) direct costs such as setup cost, running cost and product cost, (ii) indirect costs such as enhancing public health and reduce environmental pollution, and (iii) shared cost with pharmaceutical supply chain management such as Circular Economy (CE) [38]. Bekker et al [39] review the pharmacy's running cost and conclude that a re-dispensing of returned medicines is more effective for expensive medicines.…”

Section: Cost Effectivenessmentioning

confidence: 99%

Enabling Medicine Reuse Using a Digital Time Temperature Humidity Sensor in an Internet of Pharmaceutical Things Concept

Hui

Donyai

McCrindle

et al. 2020

Sensors

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Medicinal waste due to improper handling of unwanted medicines creates health and environmental risks. However, the re-dispensing of unused prescribed medicines from patients seems to be accepted by stakeholders when quality and safety requirements are met. Reusing dispensed medicines may help reduce waste, but a comprehensive validation method is not generally available. The design of a novel digital time temperature and humidity indicator based on an Internet of Pharmaceutical Things concept is proposed to facilitate the validation, and a prototype is presented using smart sensors with cloud connectivity acting as the key technology for verifying and enabling the reuse of returned medicines. Deficiency of existing technologies is evaluated based on the results of this development, and recommendations for future research are suggested.

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Reverse flows within the pharmaceutical supply chain: A classificatory review from the perspective of end-of-use and end-of-life medicines

Cited by 51 publications

References 142 publications

An integrated sustainable medical supply chain network during COVID-19

An integrated sustainable medical supply chain network during COVID-19

A Systematic Literature Review on Data and Information Required for Circular Manufacturing Strategies Adoption

Enabling Medicine Reuse Using a Digital Time Temperature Humidity Sensor in an Internet of Pharmaceutical Things Concept

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