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Purpose Previous studies on hospital supply chain performance have attempted to measure the performance of the hospital supply chain either by the measurement of performance indicators or the performance of specific activities. This paper attempts to measure the internal hospital supply chain's performance indicators to find their interdependencies to understand the relationship among them and identify the key performance indicators for each of those aspects of the logistics process toward improvement. Design/methodology/approach In this research, a systematic assessment and analysis method under vagueness is proposed to assess, analyze and measure the internal health care performance aspects (HCPA). The proposed method combines the group Decision-Making and Trial Evaluation Laboratory (DEMATEL) method and rough set theory. Findings The study results indicate that the most critical aspects of hospital supply chain performance are completeness of treatment, clinical care process time and no delay in treatment. Originality/value The causal relationship from rough-DEMATEL can advise management officials that to improve the completeness of treatment toward patient safety, clinical care process time should be addressed initially and with it, patient safety aspects such as free from error, clinical care productivity, etc. should be improved as well. Improvement of these aspects will improve the other aspects they are related to.
Daniel Soto Lopez; Maryam Garshasbi; Golam Kabir; A.B.M. Mainul Bari; Syed Mithun Ali. Evaluating interaction between internal hospital supply chain performance indicators: a rough-DEMATEL-based approach. International Journal of Productivity and Performance Management 2021, ahead-of-p, 1 .
AMA StyleDaniel Soto Lopez, Maryam Garshasbi, Golam Kabir, A.B.M. Mainul Bari, Syed Mithun Ali. Evaluating interaction between internal hospital supply chain performance indicators: a rough-DEMATEL-based approach. International Journal of Productivity and Performance Management. 2021; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StyleDaniel Soto Lopez; Maryam Garshasbi; Golam Kabir; A.B.M. Mainul Bari; Syed Mithun Ali. 2021. "Evaluating interaction between internal hospital supply chain performance indicators: a rough-DEMATEL-based approach." International Journal of Productivity and Performance Management ahead-of-p, no. ahead-of-p: 1.
Maintenance and repair of the deteriorating infrastructure has been got into significant consideration amongst stakeholders and researchers in recent years. In this regard, oil and gas pipelines are one of the most critical buried infrastructures all over the world. This study presents a bibliometric literature review of oil and gas pipeline failure consequences considering 20 years of scientific documents into account for evaluating the research pattern. For this, the measures including, number of related publications over the years and in an area-wise pattern, top-cited documents, citation evaluation of journals and researchers, map of co-occurrence examination of authors’ keywords, contribution per country, and cluster assessment have been analysed in the bibliometric plotting of the mentioned study area. Based on the researchers’ keywords and their cluster analysis, future research directions can be uncovered.
Armin Aalirezaei; Golam Kabir. A bibliometric analysis on oil and gas pipeline failure consequence analysis. Innovative Infrastructure Solutions 2021, 6, 1 -18.
AMA StyleArmin Aalirezaei, Golam Kabir. A bibliometric analysis on oil and gas pipeline failure consequence analysis. Innovative Infrastructure Solutions. 2021; 6 (4):1-18.
Chicago/Turabian StyleArmin Aalirezaei; Golam Kabir. 2021. "A bibliometric analysis on oil and gas pipeline failure consequence analysis." Innovative Infrastructure Solutions 6, no. 4: 1-18.
This article attempts to evaluate risks associated with circular economy (CE) practices and strategies in circular supply chains (CSCs) in response to the research gap related to the risks in CSCs in the current body of knowledge. There is a need for risk classification and examination for increasing the CSC effectiveness in the industry. These kinds of studies in developing countries like Bangladesh are few. To reach the goals of this study, for evaluating the risk factors obtained from a survey-design and feedback from experts, a fuzzy synthetic evaluation (FSE) approach-based model is developed. The findings revealed that “quality degradation of recycled products” and “CE framework risks” are the most critical risk factors and groups in CSC initiatives, respectively. The findings are essential because they enable experts to understand the urgency in managing risks associated with CSC concepts. Therefore, the findings can be used to help industrial managers, government policymakers, and other stakeholders across the CSC of interest to implement and maintain the CSCs given the acknowledged risks.
Esrat Farhana Dulia; Syed Mithun Ali; Maryam Garshasbi; Golam Kabir. Admitting risks towards circular economy practices and strategies: An empirical test from supply chain perspective. Journal of Cleaner Production 2021, 317, 128420 .
AMA StyleEsrat Farhana Dulia, Syed Mithun Ali, Maryam Garshasbi, Golam Kabir. Admitting risks towards circular economy practices and strategies: An empirical test from supply chain perspective. Journal of Cleaner Production. 2021; 317 ():128420.
Chicago/Turabian StyleEsrat Farhana Dulia; Syed Mithun Ali; Maryam Garshasbi; Golam Kabir. 2021. "Admitting risks towards circular economy practices and strategies: An empirical test from supply chain perspective." Journal of Cleaner Production 317, no. : 128420.
Purpose This paper addresses special reliability-centered maintenance (RCM) strategies for one-shot devices by providing fuzzy inferences system with the assumption that, to data, there is no data available on their maintenance. As far as one-shot devices are concerned, the relevant data is inadequate. Design/methodology/approach In this paper, a fuzzy expert system is proposed to effectively select RCM strategies for one-shot devices. In this research: (1) a human expert team is provided, (2) spatial RCM strategies for one-shot devices and parameters bearing upon those strategies are determined, (3) the verbal variables of the expert team are transformed into fuzzy sets, (4) the relationship between parameters and strategies are designed whereupon a model is developed by MATLAB software, (5) Finally, the model is applied to a real-life one-shot system. Findings The finding of this study indicates that the proposed fuzzy expert system can determine the parameters affecting the choice of the appropriate one-shot RCM strategies, and a fuzzy inference system can help for effective decision making. Originality/value The developed model can be used as a fast and reliable method for determining an appropriate one-shot RCM strategy, whose results can be relied upon with a suitable approximation in respect of the behavior test. To the best authors’ knowledge, this problem is not addressed yet.
Meysam Azimian; Mahdi Karbasian; Karim Atashgar; Golam Kabir. Appropriate strategy selection for reliability-centered maintenance of one-shot systems using fuzzy model. Journal of Quality in Maintenance Engineering 2021, ahead-of-p, 1 .
AMA StyleMeysam Azimian, Mahdi Karbasian, Karim Atashgar, Golam Kabir. Appropriate strategy selection for reliability-centered maintenance of one-shot systems using fuzzy model. Journal of Quality in Maintenance Engineering. 2021; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StyleMeysam Azimian; Mahdi Karbasian; Karim Atashgar; Golam Kabir. 2021. "Appropriate strategy selection for reliability-centered maintenance of one-shot systems using fuzzy model." Journal of Quality in Maintenance Engineering ahead-of-p, no. ahead-of-p: 1.
The COVID-19 outbreak has demonstrated the diverse challenges that supply chains face to significant disruptions. Vaccine supply chains are no exception. Therefore, it is elemental that challenges to the COVID-19 vaccine supply chain (VSC) are identified and prioritized to pave the way out of this pandemic. This study combines the decision-making trial and evaluation laboratory (DEMATEL) method with intuitionistic fuzzy sets (IFS) to explore the key challenges of the COVID-19 VSC. The IFS theory tackles the uncertainty of key challenges while DEMATEL addresses the interlaced causal relationships among crucial challenges to the COVID-19 VSC. This work identifies 15 challenges and reveals that ‘Limited number of vaccine manufacturing companies’, ‘Inappropriate coordination with local organizations’, ‘Lack of vaccine monitoring bodies’, ‘Difficulties in monitoring and controlling vaccine temperature’, and ‘Vaccination cost and lack of financial support for vaccine purchase’ are the most critical challenges. The causal interactions along with mutual relationships among these challenges are also scrutinized, and implications for sustainable development goals (SDGs) are drawn. The results offer practical guidelines for stakeholders and government policy makers around the world to develop an improved VSC for the COVID-19 virus.
Shahriar Tanvir Alam; Sayem Ahmed; Syed Mithun Ali; Sudipa Sarker; Golam Kabir; Asif Ul-Islam. Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals. International Journal of Production Economics 2021, 239, 108193 -108193.
AMA StyleShahriar Tanvir Alam, Sayem Ahmed, Syed Mithun Ali, Sudipa Sarker, Golam Kabir, Asif Ul-Islam. Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals. International Journal of Production Economics. 2021; 239 ():108193-108193.
Chicago/Turabian StyleShahriar Tanvir Alam; Sayem Ahmed; Syed Mithun Ali; Sudipa Sarker; Golam Kabir; Asif Ul-Islam. 2021. "Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals." International Journal of Production Economics 239, no. : 108193-108193.
Recently, water has become a valued resource amongst human beings due to the increasing demand for water supply on the one hand and the decreasing level of water resources on the other. As an initial step to cope with the challenge of long-term water supply and demand stability in a sustainable and resilient way, measuring, analyzing, and forecasting useful indicators is required to motivate policy-making. The primary goal of this study is to identify and forecast water security level using the grey prediction method. The results are presented for a time-series analysis of the KPIs for a water security unit in Saskatchewan, Canada. This study's main contribution is the application of the grey model, GM (1,1), to forecast the required KPIs of water security units in Saskatchewan. In this case, seven KPIs were considered based on the availability of data. These KPIs were categorized according to water consumption, quality, and risk points of view. The results show that while one KPI maintains a constant trend, five KPIs show an increasing trend, and the other KPI shows a decreasing trend over time. Examining such trends of the KPIs can help decision-makers provide useful information for assessing and forecasting the water security level in Saskatchewan of Canada.
Armin Aalirezaei; Saiful Arif Khan; Golam Kabir; Syed Mithun Ali. Prediction of water security level for achieving sustainable development objectives in Saskatchewan, Canada: Implications for resource conservation in developed economies. Journal of Cleaner Production 2021, 311, 127521 .
AMA StyleArmin Aalirezaei, Saiful Arif Khan, Golam Kabir, Syed Mithun Ali. Prediction of water security level for achieving sustainable development objectives in Saskatchewan, Canada: Implications for resource conservation in developed economies. Journal of Cleaner Production. 2021; 311 ():127521.
Chicago/Turabian StyleArmin Aalirezaei; Saiful Arif Khan; Golam Kabir; Syed Mithun Ali. 2021. "Prediction of water security level for achieving sustainable development objectives in Saskatchewan, Canada: Implications for resource conservation in developed economies." Journal of Cleaner Production 311, no. : 127521.
Recently, the soft drink industry has been confronted with a rapidly changing business climate and increased competition, creating risks and uncertainties in its supply chain. Thus, immediate actions are required to handle these risks and uncertainties. The purpose of this paper is to identify and classify these risks in the soft drink supply chain and to develop a methodology comprising a fuzzy analytical hierarchy process (FAHP) and fuzzy comprehensive evaluation of these risks. FAHP was used to determine the weights of five major risk categories and 23 sub risks under these major categories. Afterward, a fuzzy comprehensive evaluation method (FCEM) was applied for the assessment of overall risk level, risk levels of the five major categories and relative risk levels of the 23 sub risks. This research has been conducted focusing on the soft drink industry of Bangladesh, a developing country with an emerging economy. In the existing literature, this work contributes by identifying and evaluating risks in the soft drink supply chain in the context of Bangladesh. The outcome of this study indicates that the overall risk level in the supply chain of the soft drink industry is between low and medium, and the risk level of the demand risks is the highest whereas the risk level of infrastructural risks is the lowest. It was also found that loss of reputation and brand image is the most significant sub risk, and natural disasters are the least significant sub risk.
Ahmed Shoyeb Raihan; Syed Mithun Ali; Sanjeeb Roy; Miki Das; Golam Kabir; Sanjoy Kumar Paul. Integrated Model for Soft Drink Industry Supply Chain Risk Assessment: Implications for Sustainability in Emerging Economies. International Journal of Fuzzy Systems 2021, 1 -22.
AMA StyleAhmed Shoyeb Raihan, Syed Mithun Ali, Sanjeeb Roy, Miki Das, Golam Kabir, Sanjoy Kumar Paul. Integrated Model for Soft Drink Industry Supply Chain Risk Assessment: Implications for Sustainability in Emerging Economies. International Journal of Fuzzy Systems. 2021; ():1-22.
Chicago/Turabian StyleAhmed Shoyeb Raihan; Syed Mithun Ali; Sanjeeb Roy; Miki Das; Golam Kabir; Sanjoy Kumar Paul. 2021. "Integrated Model for Soft Drink Industry Supply Chain Risk Assessment: Implications for Sustainability in Emerging Economies." International Journal of Fuzzy Systems , no. : 1-22.
Meysam Azimian; Mahdi Karbasian; Karim Atashgar; Golam Kabir. Correction to: A new approach to select the reliable suppliers for one‑shot devices. Production Engineering 2021, 15, 383 -383.
AMA StyleMeysam Azimian, Mahdi Karbasian, Karim Atashgar, Golam Kabir. Correction to: A new approach to select the reliable suppliers for one‑shot devices. Production Engineering. 2021; 15 (3-4):383-383.
Chicago/Turabian StyleMeysam Azimian; Mahdi Karbasian; Karim Atashgar; Golam Kabir. 2021. "Correction to: A new approach to select the reliable suppliers for one‑shot devices." Production Engineering 15, no. 3-4: 383-383.
A one-shot device is referred to as a unit that performs its function only once, hence a one-shot device cannot be used for testing more than once. Missiles, airbags of automobiles, magnetorheological fluids, and thermal batteries are some examples of one-shot devices. Usually, one-shot devices are kept in storage or in the stand-by condition and taken into use when required. As a matter of fact, proper operation of such devices at designated times becomes an important issue. Thus, choosing appropriate and reliable suppliers of one-shot devices in preventive maintenance periods can be regarded as a critical measure. This paper presents a new approach to provide resilience in supplier selection for one-shot devices and its subsystems in response to risks. In this research: (1) an expert team is set up having experience and expertise in one-shot systems, (2) risks of suppliers are estimated using satisfying and simple additive weighting (SAW) methods, (3) risk related to each equipment are determined by a cause and effect matrix, (4) after presenting a novel integrated approach, the best combination for one-shot equipment suppliers is selected by using fault tree analysis, (5) finally, to evaluate the performance of the proposed approach, a real case study is also used. This approach can therefore be used for determining faults in the entire system evaluated along with allocating suppliers to each equipment by considering suppliers and equipment risks as well as making and selecting scenarios.
Meysam Azimian; Mahdi Karbasian; Karim Atashgar; Golam Kabir. A new approach to select the reliable suppliers for one-shot devices. Production Engineering 2021, 15, 371 -382.
AMA StyleMeysam Azimian, Mahdi Karbasian, Karim Atashgar, Golam Kabir. A new approach to select the reliable suppliers for one-shot devices. Production Engineering. 2021; 15 (3-4):371-382.
Chicago/Turabian StyleMeysam Azimian; Mahdi Karbasian; Karim Atashgar; Golam Kabir. 2021. "A new approach to select the reliable suppliers for one-shot devices." Production Engineering 15, no. 3-4: 371-382.
The main aim of this study is to identify the most important natural gas pipeline failure causes and interrelation analysis. In this research, the rough analytic hierarchy process (Rough-AHP) is used to identify the natural gas pipeline failure causes rank order. Then a combination of rough decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) method is applied to generate the level of importance. The comparison of traditional DEMATEL and Rough-DEMATEL are also performed to establish the cause-effect interrelation diagram. Finally, the Bayesian Belief Network (BBN) is combined with Rough DEMATEL and ISM to identify the interrelation analysis among the most crucial failure causes. As a result, the energy supply company and government policymaker can take necessary safety plan and improve the operation. The main outcome of this study is to improve the security management and reduce the potential failure risks.
Sk Ahmed; Golam Kabir. An Integrated Approach for Failure Analysis of Natural Gas Transmission Pipeline. CivilEng 2021, 2, 87 -119.
AMA StyleSk Ahmed, Golam Kabir. An Integrated Approach for Failure Analysis of Natural Gas Transmission Pipeline. CivilEng. 2021; 2 (1):87-119.
Chicago/Turabian StyleSk Ahmed; Golam Kabir. 2021. "An Integrated Approach for Failure Analysis of Natural Gas Transmission Pipeline." CivilEng 2, no. 1: 87-119.
Resilience is the capability of a system to resist any hazard and revive to a desirable performance. The consequences of such hazards require the development of resilient infrastructure to ensure community safety and sustainability. However, resilience-based housing infrastructure design is a challenging task due to a lack of appropriate post-disaster datasets and the non-availability of resilience models for housing infrastructure. Hence, it is necessary to build a resilience model for housing infrastructure based on a realistic dataset. In this work, a Bayesian belief network (BBN) model was developed for housing infrastructure resilience. The proposed model was tested in a real community in Northeast India and the reliability, recovery, and resilience of housing infrastructure against flood hazards for that community were quantified. The required data for resilience quantification were collected by conducting a field survey and from public reports and documents. Lastly, a sensitivity analysis was performed to observe the critical parameters of the proposed BBN model, which can be used to inform designers, policymakers, and stakeholders in making resilience-based decisions.
Mrinal Kanti Sen; Subhrajit Dutta; Golam Kabir. Flood Resilience of Housing Infrastructure Modeling and Quantification Using a Bayesian Belief Network. Sustainability 2021, 13, 1026 .
AMA StyleMrinal Kanti Sen, Subhrajit Dutta, Golam Kabir. Flood Resilience of Housing Infrastructure Modeling and Quantification Using a Bayesian Belief Network. Sustainability. 2021; 13 (3):1026.
Chicago/Turabian StyleMrinal Kanti Sen; Subhrajit Dutta; Golam Kabir. 2021. "Flood Resilience of Housing Infrastructure Modeling and Quantification Using a Bayesian Belief Network." Sustainability 13, no. 3: 1026.
Housing infrastructure is a basic human need and thus should be resilient against natural disasters. Therefore, an effective resilience-based framework for housing infrastructure is required to enhance the endurance capacity of housing and for effective recovery. Involving an expert opinion is also required for the representation of the nonlinear, complex relationship between the flood resilience parameters for housing infrastructure. In this work, initially, a hierarchical flood resilience model for housing infrastructure is developed using the decision-making trial and evaluation laboratory (DEMATEL) and the interpretive structure modeling (ISM) methods. The relationships among various resilience parameters related to flood hazards are obtained using integrated DEMATEL and ISM following the data received from expert opinions. Next, a flood resilience-based decision-making framework is developed integrating DEMATEL, ISM, and Bayesian Network (BN) methods. A field survey collects all the postdisaster data to feed in the BN model, capturing the interrelationship among the resilience parameters. Finally, the developed framework is implemented for a community in northeast India for flood resilience assessment and risk-informed decision making. It has been observed from the result that the resilience of the housing infrastructure for most of the surveyed places are extremely low, which means houses of those areas should be immediately strengthened. The evaluated resilience values provide the vulnerable scenarios of housing infrastructure of that community against flood hazards, which help the public authority of that community. Additionally, the identification of the most sensitive parameter/s among all considered parameters helps in decision making for future hazards.
Mrinal Kanti Sen; Subhrajit Dutta; Golam Kabir; Nikil N. Pujari; Shamim Ahmed Laskar. An integrated approach for modelling and quantifying housing infrastructure resilience against flood hazard. Journal of Cleaner Production 2020, 288, 125526 .
AMA StyleMrinal Kanti Sen, Subhrajit Dutta, Golam Kabir, Nikil N. Pujari, Shamim Ahmed Laskar. An integrated approach for modelling and quantifying housing infrastructure resilience against flood hazard. Journal of Cleaner Production. 2020; 288 ():125526.
Chicago/Turabian StyleMrinal Kanti Sen; Subhrajit Dutta; Golam Kabir; Nikil N. Pujari; Shamim Ahmed Laskar. 2020. "An integrated approach for modelling and quantifying housing infrastructure resilience against flood hazard." Journal of Cleaner Production 288, no. : 125526.
This paper aims to find a methodology to identify apparel productivity performance attributes. To achieve this aim, there is a need for a measurement program to manage both quantitative and qualitative measurements, considering uncertainties. In this research, the Hierarchical Evidential Reasoning (HER) procedure is utilized to handle uncertainties and complications in the productivity evaluation area. For evaluating apparel productivity, the HER method is used to develop a multi-criteria decision-making (MCDM) structure. The suggested structure is performed to assess the productivity of twelve garments industries in Bangladesh. After assessing productivity, a comparison and sensitivity analysis is conducted to identify the critical measures that contribute to enhance productivity. In this study, it can be observed that Yager’s rule and Dempster-Shafer theory present administrators with a decision-making mechanism, which can help them to prioritize productivity characteristics, assessing the traits, and judgmental assessment to gain the total consequence of productivity. Therefore, examining the status allows the supervisors to elaborate plans for a greater state and enhance overall productivity. As one of the findings of this research based on Yager’s rule and Dempster-Shafer theory, DBL Company, compared with 11 other organizations in Bangladesh, has the highest value of the index, which indicates the overall performance of DBL Company is much better compared to the other organizations. This research can be utilized as a critical achievement analysis mean by the organizations.
Nafisa Mahbub; Maryam Garshasbi; Golam Kabir; Ahsan Akhtar Hasin. Productivity modeling of apparel industry using Hierarchical Evidential Reasoning. Journal of Cleaner Production 2020, 282, 125298 .
AMA StyleNafisa Mahbub, Maryam Garshasbi, Golam Kabir, Ahsan Akhtar Hasin. Productivity modeling of apparel industry using Hierarchical Evidential Reasoning. Journal of Cleaner Production. 2020; 282 ():125298.
Chicago/Turabian StyleNafisa Mahbub; Maryam Garshasbi; Golam Kabir; Ahsan Akhtar Hasin. 2020. "Productivity modeling of apparel industry using Hierarchical Evidential Reasoning." Journal of Cleaner Production 282, no. : 125298.
Housing infrastructure is the basic need of living, and due to disaster, many houses got damaged. Therefore, assessing resilience for housing infrastructure against a flood hazard is an important task for any community as it gives the real scenario of the capability to resist and recover from the disaster after the occurrence of the hazard. The process of resilience quantification requires a different type of information from different sources, and due to which uncertainty and incomplete data may get involved. There is significantly limited literature available focusing on housing infrastructure resilience; however, the available literature has not incorporated such uncertainty and incomplete information. Therefore, in this work, a resilience assessment framework for housing infrastructure is proposed using a combination approach of Best Worst Method and a Hierarchical Evidential Reasoning based on the Dempster-Shafer theory against flood hazard. The proposed framework is then implemented in Barak valley North-East India to quantify that valley’s resilience and evaluate the model. Initially, different resilience attributes are selected, and based on experts’ opinion, the Best Worst Method rates the criteria to find the weightage. After finding the weightage, flood resilience is evaluated by using the Dempster-Shafer rule of combination. Lastly, sensitivity analysis is also performed to investigate the sensitivity of all the attributes of the proposed hierarchical housing infrastructure resilience model. The proposed flood resilience assessment model generates satisfactory results which indicate the condition state of resilience along with the unassigned degree of belief or uncertainty.
Mrinal Kanti Sen; Subhrajit Dutta; Golam Kabir. Development of flood resilience framework for housing infrastructure system: Integration of best-worst method with evidence theory. Journal of Cleaner Production 2020, 290, 125197 .
AMA StyleMrinal Kanti Sen, Subhrajit Dutta, Golam Kabir. Development of flood resilience framework for housing infrastructure system: Integration of best-worst method with evidence theory. Journal of Cleaner Production. 2020; 290 ():125197.
Chicago/Turabian StyleMrinal Kanti Sen; Subhrajit Dutta; Golam Kabir. 2020. "Development of flood resilience framework for housing infrastructure system: Integration of best-worst method with evidence theory." Journal of Cleaner Production 290, no. : 125197.
This paper aims to identify the negative impacts of the COVID-19 outbreak on supply chains and propose strategies to deal with the impacts in the context of the readymade garment (RMG) industry supply chain of an emerging economy: Bangladesh. To achieve the aims, a methodological framework is proposed through a literature review, expert inputs, and a decision-aid tool, namely the grey-based digraph-matrix method. A total of 10 types of negative impacts and 22 strategic measures to tackle the impacts were identified based on the literature review and expert inputs. Then, the grey-based digraph-matrix was applied for modeling the strategic measures based on their influence to deal with the impacts. Findings reveal that the strategies “manufacturing flexibility”, “diversify the source of supply”, and “develop backup suppliers” have significant positive consequences for managing the impacts of the COVID-19 pandemic in the RMG supply chain. The findings help industrial managers recover from supply chain disruptions by identifying and classifying the impacts and strategies required to manage the major supply chain disturbances caused by the COVID-19 pandemic. As a theoretical contribution, this study is one of few initial attempts to evaluate the impacts of the COVID-19 outbreak and the strategies to deal with the impacts in the supply chain context.
Hasin Md. Muhtasim Taqi; Humaira Nafisa Ahmed; Sumit Paul; Maryam Garshasbi; Syed Mithun Ali; Golam Kabir; Sanjoy Kumar Paul. Strategies to Manage the Impacts of the COVID-19 Pandemic in the Supply Chain: Implications for Improving Economic and Social Sustainability. Sustainability 2020, 12, 9483 .
AMA StyleHasin Md. Muhtasim Taqi, Humaira Nafisa Ahmed, Sumit Paul, Maryam Garshasbi, Syed Mithun Ali, Golam Kabir, Sanjoy Kumar Paul. Strategies to Manage the Impacts of the COVID-19 Pandemic in the Supply Chain: Implications for Improving Economic and Social Sustainability. Sustainability. 2020; 12 (22):9483.
Chicago/Turabian StyleHasin Md. Muhtasim Taqi; Humaira Nafisa Ahmed; Sumit Paul; Maryam Garshasbi; Syed Mithun Ali; Golam Kabir; Sanjoy Kumar Paul. 2020. "Strategies to Manage the Impacts of the COVID-19 Pandemic in the Supply Chain: Implications for Improving Economic and Social Sustainability." Sustainability 12, no. 22: 9483.
Amit Banik; Swopnil Taqi; Syed Mithun Ali; Sayem Ahmed; Maryam Garshasbi; Golam Kabir. Critical success factors for implementing green supply chain management in the electronics industry: an emerging economy case. International Journal of Logistics Research and Applications 2020, 1 -28.
AMA StyleAmit Banik, Swopnil Taqi, Syed Mithun Ali, Sayem Ahmed, Maryam Garshasbi, Golam Kabir. Critical success factors for implementing green supply chain management in the electronics industry: an emerging economy case. International Journal of Logistics Research and Applications. 2020; ():1-28.
Chicago/Turabian StyleAmit Banik; Swopnil Taqi; Syed Mithun Ali; Sayem Ahmed; Maryam Garshasbi; Golam Kabir. 2020. "Critical success factors for implementing green supply chain management in the electronics industry: an emerging economy case." International Journal of Logistics Research and Applications , no. : 1-28.
Lean six sigma (LSS), a process improvement tool to achieve operational excellence in any industry, has become popular among practitioners over the last few decades. In this study, a framework for identifying barriers to LSS implementation in supply chains has been developed using the interpretive structural modeling (ISM) method. The ISM technique was used to identify the contextual relationships among the barriers. Barriers were classified based on their dependence power and driving power using MICMAC (Matriced Impacts Croisés Multiplication Appliquée á un Classement). This framework will provide a comprehensive understanding of how the barriers of LSS affect each other. The proposed framework has been tested using data from a real-world apparel manufacturing company in Bangladesh. 10 barriers to LSS implementation were identified from a literature review and industrial managers’ feedback. This study is expected to guide practitioners in implementing LSS in supply chains by helping to focus their effort on removing the most important barriers.
Syed Mithun Ali; Anwar Hossen; Zuhayer Mahtab; Golam Kabir; Sanjoy Kumar Paul; Zia Ul Haq Adnan. Barriers to lean six sigma implementation in the supply chain: An ISM model. Computers & Industrial Engineering 2020, 149, 106843 .
AMA StyleSyed Mithun Ali, Anwar Hossen, Zuhayer Mahtab, Golam Kabir, Sanjoy Kumar Paul, Zia Ul Haq Adnan. Barriers to lean six sigma implementation in the supply chain: An ISM model. Computers & Industrial Engineering. 2020; 149 ():106843.
Chicago/Turabian StyleSyed Mithun Ali; Anwar Hossen; Zuhayer Mahtab; Golam Kabir; Sanjoy Kumar Paul; Zia Ul Haq Adnan. 2020. "Barriers to lean six sigma implementation in the supply chain: An ISM model." Computers & Industrial Engineering 149, no. : 106843.
This paper aims to identify, evaluate, and measure the ergonomic factors hampering the production of leather garment-based small and medium-sized enterprises (SMEs). Ergonomic problems faced by the workers largely impact the health of individuals and also the productivity of a firm. Based on experts’ opinions and a literature survey, three emerging categories—namely, occupational disease, personal factors, and the industrial environment—with a total of twenty factors were identified to examine symmetrical impact in five leather garment companies. In this research work, Cronbach’s α was evaluated to check the validity of the ergonomic factors identified through the literature survey. Then, using the fuzzy analytic hierarchy process (FAHP), the identified ergonomic factors were evaluated. A sensitivity analysis was carried out to validate the robustness of the results obtained using the integrated approach. Outdated machinery, vibration, operational setup, fatigue, and poor ventilation and lighting are the top five factors inducing ergonomic-related problems and hampering the production of the leather garment companies in India. These top ergonomic factors are the result of a failure in the provision of an ambient working environment. Providing ergonomically designed working environments may lower the occurrence of ergonomic problems. The findings of this study will assist industrial managers to enhance production rate and to progress towards social sustainability in Indian SMEs. The proposed symmetrical assessment in this study could also be considered as a benchmark for other companies in which human–machine interaction is significant.
Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Mithun Ali; Golam Kabir. Role of Ergonomic Factors Affecting Production of Leather Garment-Based SMEs of India: Implications for Social Sustainability. Symmetry 2020, 12, 1414 .
AMA StyleKoppiahraj Karuppiah, Bathrinath Sankaranarayanan, Syed Mithun Ali, Golam Kabir. Role of Ergonomic Factors Affecting Production of Leather Garment-Based SMEs of India: Implications for Social Sustainability. Symmetry. 2020; 12 (9):1414.
Chicago/Turabian StyleKoppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Mithun Ali; Golam Kabir. 2020. "Role of Ergonomic Factors Affecting Production of Leather Garment-Based SMEs of India: Implications for Social Sustainability." Symmetry 12, no. 9: 1414.
Owing to the sudden changes in climatic conditions, monsoon failure, and scarce availability of resources because of population hike, yielding a minimum profit has become a challenge for Indian farmers. This is a severe problem for India, as a major part of the Nation’s Gross Domestic Product (GDP) depends on agriculture. To change this dreadful situation, Indian farmers must employ sustainable agricultural practices in farming, as it will help them to meet their agricultural needs and economic stability. Here, we have built a framework for selecting the ideal crop pattern for Winter Cropping Season (Rabi Season), as crop pattern plays a vital role in the effective function of sustainable agricultural practices. We have used the rough AHP-TOPSIS (Analytical Hierarchy Process-Technique for Order Preference by Similarity to Ideal Solution) method for finding the best crop pattern for the Rabi season, by considering all the influential criteria in terms of agriculture sustainability. Our study demonstrates an overall idea to the farmers and stakeholders about attaining maximum crop productivity with optimum use of available resources, without compromising the economic, social, and ecological aspects of agriculture.
Veerasekar Palaniappan Sambasivam; Gowtham Thiyagarajan; Golam Kabir; Syed Mithun Ali; Syed Abdul Rehman Khan; Zhang Yu. Selection of Winter Season Crop Pattern for Environmental-Friendly Agricultural Practices in India. Sustainability 2020, 12, 4562 .
AMA StyleVeerasekar Palaniappan Sambasivam, Gowtham Thiyagarajan, Golam Kabir, Syed Mithun Ali, Syed Abdul Rehman Khan, Zhang Yu. Selection of Winter Season Crop Pattern for Environmental-Friendly Agricultural Practices in India. Sustainability. 2020; 12 (11):4562.
Chicago/Turabian StyleVeerasekar Palaniappan Sambasivam; Gowtham Thiyagarajan; Golam Kabir; Syed Mithun Ali; Syed Abdul Rehman Khan; Zhang Yu. 2020. "Selection of Winter Season Crop Pattern for Environmental-Friendly Agricultural Practices in India." Sustainability 12, no. 11: 4562.
Transportation is one of the logistical drivers in supply chains. Transportation disruption is costly in supply chains. This paper aims to assess transportation disruption risks using a Bayesian Belief Network (BBN). First, the disruption risk factors and their sub-factors were identified from the relevant articles and experts' opinions. The BBN-based model is developed to calculate the marginal probabilities of the risk factors and their sub-factors to determine the most sensitive factors/sub-factors. The framework was demonstrated using an example case of the pharmaceutical industry in Bangladesh. The findings reveal the usefulness of BBN in examining transportation disruptions in supply chains. BBN captured the interdependencies between the disruption risk factors/sub-factors effectively. The proposed model will be useful to managers for predicting transportation disruptions and to build resilient strategies to tackle them.
Sumit Paul; Golam Kabir; Syed Mithun Ali; Guoqing Zhang. Examining transportation disruption risk in supply chains: A case study from Bangladeshi pharmaceutical industry. Research in Transportation Business & Management 2020, 37, 100485 .
AMA StyleSumit Paul, Golam Kabir, Syed Mithun Ali, Guoqing Zhang. Examining transportation disruption risk in supply chains: A case study from Bangladeshi pharmaceutical industry. Research in Transportation Business & Management. 2020; 37 ():100485.
Chicago/Turabian StyleSumit Paul; Golam Kabir; Syed Mithun Ali; Guoqing Zhang. 2020. "Examining transportation disruption risk in supply chains: A case study from Bangladeshi pharmaceutical industry." Research in Transportation Business & Management 37, no. : 100485.