A fuzzy decision framework of lean-agile-green (LAG) practices for sustainable vaccine supply chain

Yadav, Amit Kumar; Kumar, Dinesh

doi:10.1108/ijppm-10-2021-0590

Cited by 15 publications

(26 citation statements)

References 136 publications

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“…Traditionally, financial indicators like cost, the rate on investment and growth, were used to measure performance (Li et al, 2006). However, in recent literature, multi-dimensional parameters are used for performance evaluation and some of these parameters are product quality (Chandra and Kumar, 2019;Harikumar and Saleeshya, 2021;Saleeshya and Harikumar, 2022;Yadav and Kumar, 2022;Yang et al, 2021), delivery (Knapp et al, 2022;Saleeshya and Harikumar, 2022), efficiency (Saleeshya and Harikumar, 2022), accessibility (Al Majali, 2022;Saleeshya and Harikumar, 2022), customer satisfaction (Harikumar and Saleeshya, 2021;Al Majali, 2022;Quang et al, 2016;Yadav and Kumar, 2022), customer safety (Harikumar and Saleeshya, 2021), customer centeredness (Saleeshya and Harikumar, 2022), lead-time (Knapp et al, 2022;Al Majali, 2022), capital utilization (Ashok et al, 2017;Duijzer et al, 2018;Knapp et al, 2022;Yadav and Kumar, 2022) and inventory level (Knapp et al, 2022;Al Majali, 2022).…”

Section: Performance Indicatorsmentioning

confidence: 99%

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Supply chain risk factor assessment of Indian pharmaceutical industry for performance improvement

Sharma

Kumar

Arora

2022

IJPPM

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PurposeThe purpose of the present work is to improve the industry performance by identifying and quantifying the risks faced by the Indian pharmaceutical industry (IPI). The risk values for the prominent risks and overall industry are determined based on the four risk parameters, which would help determine the most contributive risks for mitigation.Design/methodology/approachAn extensive literature survey was done to identify the risks, which were also validated by industry experts. The finalized risks were then evaluated using the fuzzy synthetic evaluation (FSE) method, which is the most suitable approach for the risk assessment with parameters having a set of different risk levels.FindingsThe three most contributive sub-risks are counterfeit drugs, demand fluctuations and loss of customers due to partners' poor service performance, while the main risks obtained are demand, financial and logistics. Also, the overall risk value indicates that the industry faces medium to high risk.Practical implicationsThe study identifies the critical risks which need to be mitigated for an efficient industry. The industry is most vulnerable to the demand risk category. Therefore, the managers should minimize this risk by mitigating its sub-risks, like demand fluctuations, bullwhip effect, etc. Another critical sub-risk, the counterfeit risk, should be managed by adopting advanced technologies like blockchain, artificial intelligence, etc.Originality/valueThere is insufficient literature focusing on risk quantification. Therefore, this work addresses this gap and obtains the industry's most critical risks. It also discusses suitable mitigation strategies for better industry performance.

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Section: Performance Indicatorsmentioning

confidence: 99%

“…, 2006). However, in recent literature, multi-dimensional parameters are used for performance evaluation and some of these parameters are product quality (Chandra and Kumar, 2019; Harikumar and Saleeshya, 2021; Saleeshya and Harikumar, 2022; Yadav and Kumar, 2022; Yang et al. , 2021), delivery (Knapp et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Supply chain risk factor assessment of Indian pharmaceutical industry for performance improvement

Sharma

Kumar

Arora

2022

IJPPM

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“…They propose an integrated framework using Delphi and fuzzy decision-making trial and evaluation laboratory (DEMATEL) techniques to identify adoption barriers and show that organizational structure change is the most important barrier to improving the distribution system. In another research, Yadav and Kumar (2023) propose a framework that integrates lean, agile and green principles to enhance sustainability in the context of VSC. Salarpour and Nagurney (2021) model the international rivalry for scarce medical supplies during the COVID-19 disaster planning and response stages by building the first stochastic Generalized Nash Equilibrium model.…”

Section: Literature Reviewmentioning

confidence: 99%

An incentive mechanism contract model to coordinate a vaccine supply chain under demand uncertainty

Chandra,

Jain,

Chan

2023

IMDS

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PurposeThe increasing prevalence of a wide range of infectious diseases, as well as the underwhelming results of vaccination rates that may be traced back to problems with vaccine procurement and distribution, have brought to the fore the importance of vaccine supply chain (VSC) management in recent years. VSC is the cornerstone of effective vaccination; hence, it is crucial to enhance its performance, particularly in low- and middle-income countries where immunization rates are not satisfactory.Design/methodology/approachIn this paper, the authors focus on VSC performance improvement of India by proposing supply contracts under demand uncertainty. The authors propose three contracts – wholesale price (WSP), cost sharing (CS) and incentive mechanism (IM) for the government-operated immunization program of India.FindingsThe authors' findings indicate that IM is capable of coordinating the supply chain, whereas the other two contracts are inefficient for the government. To validate the model, it is applied to a real-world scenario of coronavirus disease 2019 (COVID-19) in India, and the findings show that an IM contract improves the overall efficiency of the system by 23.72%.Originality/valuePrevious studies focused mainly on the influenza VSC industry within developed nations. Nonetheless, there exists a dearth of literature pertaining to the examination of supply contracts and their feasibility for immunization programs that are administered by the government and aimed at optimizing societal benefits. The authors' findings can be beneficial to the immunization program of India to optimize their VSC cost.

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“…To do so, they propose a hesitant fuzzy-based Industry 4.0 technology selection model. Similarly, to face difficulties along the vaccine supply chain, hampered by the huge demand for vaccines over the last few years [63], propose a novel fuzzy decision framework based on importance performance analysis (IPA), AHP and TOPSIS.…”

Section: Literature Reviewmentioning

confidence: 99%

Multicriteria Approach for Supplier Selection: Evidence from a Case Study in the Fashion Industry

et al. 2022

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Worldwide manufactures are redesigning supply chains, often outsourcing with the aim of maintaining a competitive advantage and gaining market share. When selecting and purchasing fabrics, firms should actively cooperate with suppliers, to meet customers’ needs. In this view, the supplier selection process plays a key role in keeping a competitive edge in global markets. Therefore, this study proposes a multicriteria decision-making model (MCDM) to ease supplier evaluation and selection. Supply chain operation reference metrics (SCOR metrics) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) are combined to build a model for supplier selection. The former allows us to conduct a very thorough fact-based analysis of all features in the supply chain, while the combination of fuzzy theory and SCOR model allows us to deal with uncertainty. The main novelty of this method is that it incorporates a consolidated supply chain management criteria within the framework of fuzzy set theory and multicriteria decision-making model (MCDM) facilitating their application into practice. The proposed approach is tested by considering the case of a manufacturing firm in the fashion industry willing to designate the most appropriate supplier within a set of three potential ones.

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A fuzzy decision framework of lean-agile-green (LAG) practices for sustainable vaccine supply chain

Cited by 15 publications

References 136 publications

Supply chain risk factor assessment of Indian pharmaceutical industry for performance improvement

Supply chain risk factor assessment of Indian pharmaceutical industry for performance improvement

An incentive mechanism contract model to coordinate a vaccine supply chain under demand uncertainty

Multicriteria Approach for Supplier Selection: Evidence from a Case Study in the Fashion Industry

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