Integrated SEM-FTOPSIS framework for modeling and prioritization of risk sources in medical device development process

Kirkire, Milind Shrikant; Rane, Santosh B.; Singh, SP

doi:10.1108/bij-07-2016-0112

Cited by 30 publications

(20 citation statements)

References 49 publications

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“…Besides, there are insufficiencies in terms of policies and regulation to promote green procurement. In order to mitigate this issue, more mandatory requirements are needed to provide better sustainability (Kirkire et al, 2018).…”

Section: Green Procurement Challengesmentioning

confidence: 99%

“…The experts from industry and academics were consulted for the opinion. Delphi method is used by many researchers for survey as it maintains the anonymity of participants and considers individual opinions of the experts (Kirkire et al, 2018). To finalise and do pairwise ranking of the criteria, 50 experts were considered including supply chain managers, procurement managers and suppliers at Tier 1 and Tier 2 levels.…”

Section: Data Collectionmentioning

confidence: 99%

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Green procurement process model based on blockchain–IoT integrated architecture for a sustainable business

Rane

Thakker

2019

MEQ

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Purpose Blockchain and IoT are recently developed technologies for the database creation and smooth functioning of supply chain activities. The purpose of this paper is to analyse the use of blockchain and IoT for green procurement activities. The integration of blockchain and IoT interface can solve many challenges faced by industries having green procurement. Design/methodology/approach Through a literature survey and interviews with procurement managers from different industries, challenges in green procurement were identified. Elements of blockchain and IoT were analysed to overcome the green procurement challenges. Architecture for blockchain and IoT is developed to be implemented in the green supply chain for a sustainable business. Findings The challenges of green procurement are categorised and ranked as per the industry survey results. The architecture shows the tasks of blockchain and IoT in green procurement activities. Research limitations/implications Green procurement is still at developing stages in India as compared to Europe and many other countries. There is a requirement for more government involvement and participation from industry and customers to implement such methods. Environment issues and challenges faced by industries are addressed. Practical implications Blockchain–IoT integration can transform a green supply chain. This research helps industries planning to incorporate blockchain and IoT in identifying the areas to focus and better planning of resources for the successful implementation of smart technologies in their supply chains. Green initiatives ensure global competitiveness as well as recognition at the global level. Green procurement ensures the minimal usage of energy and efficient waste disposal. Originality/value The implementation of green procurement and challenges associated with it are addressed in this research. This will work as a framework for industries looking forward to implementing blockchain and IoT in their supply chains for solving green procurement challenges.

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Section: Green Procurement Challengesmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

Green procurement process model based on blockchain–IoT integrated architecture for a sustainable business

Rane

Thakker

2019

MEQ

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“…Structural equation based modelling and FTOPSIS framework (Kirkire et al, 2018) has been applied for modelling and ranking of barriers to MDD identified by Rane and Kirkire (2016).…”

Section: Resultsmentioning

confidence: 99%

“…Instead of using the two approaches separately, this article focusses on the use of integrated SEM and FTOPSIS methodology, which actually integrates quantitative and qualitative approaches. (Kirkire et al, 2018). Advantages of structural equation modelling.…”

Section: Structural Equation Modellingmentioning

confidence: 99%

Structural equation modelling – FTOPSIS approach for modelling barriers to product development in medical device manufacturing industries

Kirkire¹,

Rane²,

Abhyankar³

2020

JM2

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Purpose The purpose of this paper model and prioritizes barriers to product development in medical device manufacturing industries using an integrated “structural equation modelling” (SEM) and “fuzzy technique for order performance by similarity to ideal solution” (FTOPSIS) framework. Design/methodology/approach Barriers to medical device development (MDD) are adopted from literature. The initial structural model is proposed, exploratory factor analysis and confirmatory factor analysis are used to determine factor loading and model fit, respectively. Further, FTOPSIS is used to rank the barriers and sensitivity analysis is carried to check the robustness of results. The results are discussed in detail and the recommendations to overcome the barriers are presented. Findings Barriers analysed and prioritized in this research significantly hinder the MDD. The expert survey is used to develop an initial structural equation model of barriers to MDD, find the reliability and validity of the model. Based on the opinion of the experts, the barriers are divided into three categories – internal, policy and induced barriers. FTOPSIS is applied to rank and prioritize the barriers based on views from these three classes of experts. More reliance on imported devices leading to increased imports (B11) and lack of uniform regulatory standards (B6) are found to have the highest rank together, indicating these to be the most important barriers from the perspective considered here. Sensitivity analysis indicates that the factors are less sensitive to the weights of criteria further confirming the reliability of the initial solution. Research limitations/implications The prioritization of barriers may vary based upon experts. Policymakers, existing and new device developers need to give utmost importance to these barriers, which will help to accelerate the indigenous development of medical devices to overcome the present dependence on imports. Practical implications This paper demonstrates an integrated structural based modelling and prioritization technique for statistical modelling and prioritization of barriers to MDD. The results and recommendations will help policymakers and manufacturers to increase the indigenous share of medical devices. The integrated methodology can be effectively applied where the need for the combined quantitative and qualitative approach is there. Originality/value This paper demonstrates an effective structural based modelling and prioritization technique. It can be effectively applied in various fields, it will help policymakers and manufacturers to increase the indigenous share of medical devices.

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“…A fuzzy TOPSIS methodology has been utilized for the prioritization of these disposition strategies for a cell manufacturing firm. Fuzzy TOPSIS methodology has been utilized by number of authors in the area of supply chain management (Agrawal et al, 2016c;Kumar and Singh, 2016;Singh et al, 2017;Kirkire et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Analyzing disposition strategies in reverse supply chains: fuzzy TOPSIS approach

Singh

Agrawal

2018

MEQ

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Purpose The purpose of this paper is to explore the product disposition strategies in reverse supply chains and to develop a framework to prioritize these strategies for effective reverse supply chain implementation. Design/methodology/approach The disposition strategies, based on the literature review, were selected, and the fuzzy TOPSIS methodology had been applied for the prioritization of these disposition strategies. A case of cell phone manufacturing firm is discussed for the illustration and validation of the methodology. Three respondents from the firm helped in exploring the disposition strategies and data collection of the firm. Findings The results of the study show that dissemble and recycle is the most preferred disposition strategy for the firm. Redistribution of returned products after their refurbishing is second most prioritized disposition strategy. Landfill and incineration of cell phones is the last and least preferred option for the firm. Research limitations/implications The study will provide useful guidance to the firm for disposition decision making of cell phones returned to the firm. It will help academicians and practitioners for evaluating, improving, and benchmarking the disposition strategies for the disposition of returned cell phones. One of the limitations of the study is that it only considers the single case of manufacturing firm. In future, more case studies may be carried out for generalization of the results. Originality/value It is evident from the literature review that there are very few studies on disposition decisions in reverse supply chain. Also, disposition strategies for cell phones are first time being explored and prioritized. Hence, this study can be viewed as an attempt to increase the level of awareness on reverse supply chain issues.

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Integrated SEM-FTOPSIS framework for modeling and prioritization of risk sources in medical device development process

Cited by 30 publications

References 49 publications

Green procurement process model based on blockchain–IoT integrated architecture for a sustainable business

Green procurement process model based on blockchain–IoT integrated architecture for a sustainable business

Structural equation modelling – FTOPSIS approach for modelling barriers to product development in medical device manufacturing industries

Analyzing disposition strategies in reverse supply chains: fuzzy TOPSIS approach

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