A grey decision-making trial and evaluation laboratory approach for evaluating the disruption risk factors in the Emergency Life-Saving Drugs supply chains

Akter, Sumaiya; Debnath, Binoy; Bari, A.B.M. Mainul

doi:10.1016/j.health.2022.100120

Cited by 23 publications

(15 citation statements)

References 58 publications

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“…Though the Google questionnaire form link was sent to 20 experts via email, the complete feedback from only 8 experts (40% response rate) was achieved after several emails and phone call reminders. Purposive sampling is a non-probabilistic technique and samples are chosen based on the researcher's opinion rather than a random selection process [ 59 ]. As a result, qualitative experts' feedback is gathered which ultimately leads to better results.…”

Section: Methodsmentioning

confidence: 99%

Assessing the challenges to medical waste management during the COVID-19 pandemic: Implications for the environmental sustainability in the emerging economies

Tushar

Alam

Bari

et al. 2023

Socio-Economic Planning Sciences

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Section: Methodsmentioning

confidence: 99%

Assessing the challenges to medical waste management during the COVID-19 pandemic: Implications for the environmental sustainability in the emerging economies

Tushar

Alam

Bari

et al. 2023

Socio-Economic Planning Sciences

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“…The chosen respondents are actively involved in the pharmaceutical sector in some way, with extensive knowledge and experience in SCM, planning, logistics, marketing, research and development, information and technology, procurement, distribution, administration, and other related sectors. These standard selection criteria have been preserved to ensure that the expert’s opinion is more relevant while avoiding significant subjective bias [ 61 , 62 ].…”

Section: Methodsmentioning

confidence: 99%

Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: Implications for supply chain sustainability in emerging economies

Debnath,

Shakur,

Bari

et al. 2023

PLoS ONE

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The emerging technologies of Industry 4.0 (I4.0) are crucial to incorporating agility, sustainability, smartness, and competitiveness in the business model, enabling long-term sustainability practices in the pharmaceutical supply chain (PSC). By leveraging the latest technologies of I4.0, pharmaceutical companies can gain real-time visibility into their supply chain (SC) operations, allowing them to make data-driven decisions that improve SC performance, efficiency, resilience, and sustainability. However, to date, no research has examined the critical success factors (CSFs) that enable the pharmaceutical industry to adopt I4.0 successfully to enhance overall SC sustainability. This study, therefore, analyzed the potential CSFs for adopting I4.0 to increase all facets of sustainability in the PSC, especially from the perspective of an emerging economy like Bangladesh. Initially, sixteen CSFs were identified through a comprehensive literature review and expert validation. Later, the finalized CSFs were clustered into three relevant groups and analyzed using a Bayesian best-worst method (BWM)-based multi-criteria decision-making (MCDM) framework. The study findings revealed that "sufficient investment for technological advancement", "digitalized product monitoring and traceability", and "dedicated and robust research and development (R&D) team" are the top three CSFs to adopt I4.0 in the PSC. The study’s findings can aid industrial practitioners, managers, and policymakers in creating effective action plans for efficiently adopting I4.0 in PSC to avail of its competitive benefits and ensure a sustainable future for the pharmaceutical industry.

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“…Second, the availability of methodically collected empirical data from industrial sectors is often limited in emerging economies like Bangladesh [1]. Considering this situation, a stratified strategy to mitigate the barriers to sustainable boiler operation one after another based on their prominence can be helpful for the decision-makers [27], and the analytical method of the study needs to utilize experts' feedback due to the lack of availability of sufficient empirical data and directly relevant literature [36].…”

Section: Ro3mentioning

confidence: 99%

“…Sensitivity analysis is a necessary experimental approach to checking the stability and robustness of a decision-making study [56]. There are several techniques to analyze the sensitivity of a study result [36,57,58]. This study followed the technique Akter et al [36] described for analyzing the obtained result's stability.…”

Section: Sensitivity Analysis To Check the Robustness Of The Findingsmentioning

confidence: 99%

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Evaluating barriers to sustainable boiler operation in the apparel manufacturing industry: Implications for mitigating operational hazards in the emerging economies

et al. 2023

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The efficiency with which conventional boilers perform, in terms of sustainability, is affected by a variety of factors. Unsustainable boiler operating practices are still surprisingly frequent in developing countries, resulting in environmental liabilities and catastrophic accidents. It is a serious problem in developing countries like Bangladesh, where boilers are utilized extensively in the apparel manufacturing sector. However, no research has yet examined the challenges or barriers associated with sustainable boiler operation in the apparel manufacturing sector. This study, thereby, utilizes an integrated MCDM approach, combining the fuzzy theory and the decision-making trial and evaluation laboratory (DEMATEL) method, to identify, prioritize, and explore the relations among the barriers to sustainable boiler operation in the apparel manufacturing industry, from an emerging economy perspective. The barriers were initially identified from the literature and a visual survey of 127 factories. After expert validation, thirteen barriers were finally selected to be analyzed utilizing the fuzzy DEMATEL method. The study findings revealed that ’Absence of water treatment facilities’, ’Fossil fuel burning and GHG emissions’, and ’Excessive consumption of groundwater’ are the three most prominent barriers to sustainable boiler operation. The cause-effect relations among the barriers suggest that ’Inadequate compliance with safety and hazard regulations’ is the most influential and ’Fossil fuel burning and GHG emissions’ is the most influenced barrier. This study is expected to guide the managers and policymakers of the apparel manufacturing sector in successfully overcoming the barriers to sustainable boiler operation, thus mitigating the operational hazards and achieving the sustainable development goals (SDGs).

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A grey decision-making trial and evaluation laboratory approach for evaluating the disruption risk factors in the Emergency Life-Saving Drugs supply chains

Cited by 23 publications

References 58 publications

Assessing the challenges to medical waste management during the COVID-19 pandemic: Implications for the environmental sustainability in the emerging economies

Assessing the challenges to medical waste management during the COVID-19 pandemic: Implications for the environmental sustainability in the emerging economies

Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: Implications for supply chain sustainability in emerging economies

Evaluating barriers to sustainable boiler operation in the apparel manufacturing industry: Implications for mitigating operational hazards in the emerging economies

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