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Prof. Dr. Syed Mithun Ali
Bangladesh University of Engineering and Technology

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Research Keywords & Expertise

0 green/environment-friendly supply chains
0 supply chain risk and resilience management
0 data driven/expert driven decision analysis
0 optimization and machine learning approaches
0 project driven supply chains

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supply chain risk and resilience management
supply chain sustainability

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Short Biography

Dr. Syed Mithun Ali is an Associate Professor in the Department of Industrial and Production Engineering (IPE) in Bangladesh University of Engineering and Technology (BUET). He is in the top 5% impactful researchers list among ResearchGate's members with an RG score of more than 38. His research appears in many reputed international journals including Energy (EGY), Environmental Impact Assessment Review (EIAR), Journal of Cleaner Production (JCLPRO), International Journal of Production Economics(IJPE), Computer and Industrial Engineering (CAIE), Process Safety and Environmental Protection (PSEP), Sustainable Production and Consumption (SPC), Measurement (MEAS), Industrial Management and Data Systems (IMDS), Journal of Retailing and Consumer Services (JRCS), Production Planning and Control (PPC), The International Journal of Advanced Manufacturing Technology (IJAMT), The Journal of the Textile Institute (TJTI), International Journal of Production Research (IJPR), Annals of Operations Research (ANOR) and so on. Dr. Ali's research interest includes supply chain management and supply chain risk management and tying that to supply chain sustainability and circular economy.

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Earlycite article
Published: 16 August 2021 in International Journal of Productivity and Performance Management
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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.

ACS Style

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 Style

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 (ahead-of-p):1.

Chicago/Turabian Style

Daniel 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.

Journal article
Published: 29 July 2021 in Measurement
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This study presents a sustainability performance measurement model integrating the Balanced Scorecard (BSC) perspective and the Fuzzy multiple-criteria decision-making (FMCDM) approach. First, this study proposes a list of twenty-one indexes of sustainability, based on four BSC-based dimensions, in line with triple bottom line sustainability dimensions, derived from the literature and experts’ inputs. Then, the relative weight of each sustainability index was evaluated using the Fuzzy Analytic Hierarchy Process (FAHP). To demonstrate the proposed approach, we practically measure the sustainability performance using three MCDM methods — Simple Additive Weighting (SAW), fuzzy Technique for Order Preference by Similarity to Ideal Situation (TOPSIS), and fuzzy Multi-Criteria Optimization and Compromise Solution (VIKOR). Finally, strategies for improving sustainability performance for a real-word case are suggested. The proposed measurement model can be an appropriate tool for industrial managers seeking to evaluate the efficacy of their sustainability strategies.

ACS Style

Rayhan Sarker; Syed Mithun Ali; Sanjoy Kumar Paul; Ziaul Haque Munim. Measuring sustainability performance using an integrated model. Measurement 2021, 184, 109931 .

AMA Style

Rayhan Sarker, Syed Mithun Ali, Sanjoy Kumar Paul, Ziaul Haque Munim. Measuring sustainability performance using an integrated model. Measurement. 2021; 184 ():109931.

Chicago/Turabian Style

Rayhan Sarker; Syed Mithun Ali; Sanjoy Kumar Paul; Ziaul Haque Munim. 2021. "Measuring sustainability performance using an integrated model." Measurement 184, no. : 109931.

Journal article
Published: 27 July 2021 in Journal of Cleaner Production
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Esrat 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.

Journal article
Published: 06 July 2021 in International Journal of Logistics Research and Applications
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ACS Style

Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Mithun Ali. A decision-aid model for evaluating challenges to blockchain adoption in supply chains. International Journal of Logistics Research and Applications 2021, 1 -22.

AMA Style

Koppiahraj Karuppiah, Bathrinath Sankaranarayanan, Syed Mithun Ali. A decision-aid model for evaluating challenges to blockchain adoption in supply chains. International Journal of Logistics Research and Applications. 2021; ():1-22.

Chicago/Turabian Style

Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Mithun Ali. 2021. "A decision-aid model for evaluating challenges to blockchain adoption in supply chains." International Journal of Logistics Research and Applications , no. : 1-22.

Earlycite article
Published: 09 June 2021 in International Journal of Emerging Markets
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Purpose Managing supply chain risk is a crucial element in ensuring the long-term sustainability of any organization or industry. As such, identification of risks and deploying their mitigation strategies should be the focal point to sustain in the long run. The risks that are faced by food processing supply chains are gaining prominence, given more consumers requiring higher quality products while ensuring traceability. In essence, this research focuses on the supply chain risks and mitigation strategies in the spice industry of an emerging economy, Sri Lanka. Design/methodology/approach This paper integrates two popular multi-criteria decision-making (MCDM) techniques, such as the analytical hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to assess the supply chain risks and to derive their mitigation strategies for the spice industry. Findings Findings show that “inability to meet quality requirements” has been established as the most significant risk in the Sri Lankan spice industry. On the other hand, “vertical integration” (backward integration) has been discovered as the key mitigation strategy to ameliorate the effects of supply chain risks in this sector. Research limitations/implications This study is exploratory, and more empirical data and statistical analyses are needed to further validate the outcomes of the study. Originality/value Despite being one of the largest trade exporters in Sri Lanka, the spice industry gets scant attention to the identification and mitigation of the risks. The authors explored the supply chain risks in the spice industry and then prioritized the suitable mitigation strategies using an integrated AHP-TOPSIS method.

ACS Style

Udukumburage Shalinda Kusal De Silva; Ananna Paul; Kazi Wahadul Hasan; Sanjoy Kumar Paul; Syed Mithun Ali; Ripon Kumar Chakrabortty. Examining risks and strategies for the spice processing supply chain in the context of an emerging economy. International Journal of Emerging Markets 2021, ahead-of-p, 1 .

AMA Style

Udukumburage Shalinda Kusal De Silva, Ananna Paul, Kazi Wahadul Hasan, Sanjoy Kumar Paul, Syed Mithun Ali, Ripon Kumar Chakrabortty. Examining risks and strategies for the spice processing supply chain in the context of an emerging economy. International Journal of Emerging Markets. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Udukumburage Shalinda Kusal De Silva; Ananna Paul; Kazi Wahadul Hasan; Sanjoy Kumar Paul; Syed Mithun Ali; Ripon Kumar Chakrabortty. 2021. "Examining risks and strategies for the spice processing supply chain in the context of an emerging economy." International Journal of Emerging Markets ahead-of-p, no. ahead-of-p: 1.

Journal article
Published: 08 June 2021 in International Journal of Production Economics
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Shahriar 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.

Journal article
Published: 23 May 2021 in Journal of Cleaner Production
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Armin 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.

Journal article
Published: 22 May 2021 in Sustainability
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COVID-19 has had a major impact on health, economic, social, and industrial activities. It has disrupted supply chain management and affected the movement of essential supplies to a large extent. This study aims to identify and evaluate the challenges hampering sustainable humanitarian supply chain management (SHSCM). Twenty critical challenges to SHSCM are identified using a comprehensive literature review, and three strategies were developed. The challenges and strategies were verified using expert input. The challenges were evaluated using the neutrosophic analytic hierarchical process (AHP) method. The neutrosophic TODIM (an acronym in Portuguese for interactive multicriteria decision making) method was then used to select the best strategy. The findings reveal that facility location problems, short lead times for emergency supplies, spread of rumors, rapid emergence of new clusters, and doubt concerning the available remedy are five critical challenges in SHSCM during COVID-19. Public–private partnerships are identified as the best strategy in SHSCM. Finally, this paper discusses the implications to sustainable development goals in the post-COVID-19 pandemic era.

ACS Style

Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Ali; Sanjoy Paul. Key Challenges to Sustainable Humanitarian Supply Chains: Lessons from the COVID-19 Pandemic. Sustainability 2021, 13, 5850 .

AMA Style

Koppiahraj Karuppiah, Bathrinath Sankaranarayanan, Syed Ali, Sanjoy Paul. Key Challenges to Sustainable Humanitarian Supply Chains: Lessons from the COVID-19 Pandemic. Sustainability. 2021; 13 (11):5850.

Chicago/Turabian Style

Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Ali; Sanjoy Paul. 2021. "Key Challenges to Sustainable Humanitarian Supply Chains: Lessons from the COVID-19 Pandemic." Sustainability 13, no. 11: 5850.

Original research
Published: 09 April 2021 in Global Journal of Flexible Systems Management
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COVID-19 has had a substantial impact on almost every field including the education sector. Due to the requirements for social distancing, the pandemic has provided an impetus for change in the education sector; technology-based sustainable education platforms not experienced previously have become essential. This research aims to propose flexible strategies to mitigate challenges of COVID-19 pandemic in the education sector of an emerging economy: Bangladesh. A total of 16 challenges and 19 flexible strategies were identified based on stakeholders’ inputs and literature review. To evaluate the flexible strategies, a methodology based on Pareto analysis and a revised rough-decision making trial and evaluation laboratory (rough-DEMATEL) method is proposed. Findings reveal that in the context of the COVID-19 pandemic, ‘Maintain social distancing and health protocol,’ ‘Enhance the communication and collaboration among students and teachers,’ ‘Financial incentives from government,’ ‘Utilize modern technologies for digitizing the entire education system,’ and ‘Know how to engage students in an online environment’ are the vital strategies that must be implemented if education continues through E-learning. Because the current pandemic situation is a new experience for many individuals around the world, this study helps to recognize the challenges and to propose effective strategies to solve these challenges so that education does not become stagnant.

ACS Style

Sayem Ahmed; Hasin Md. Muhtasim Taqi; Yeasir Iqbal Farabi; Mohiuddin Sarker; Syed Mithun Ali; Bathrinath Sankaranarayanan. Evaluation of Flexible Strategies to Manage the COVID-19 Pandemic in the Education Sector. Global Journal of Flexible Systems Management 2021, 1 -25.

AMA Style

Sayem Ahmed, Hasin Md. Muhtasim Taqi, Yeasir Iqbal Farabi, Mohiuddin Sarker, Syed Mithun Ali, Bathrinath Sankaranarayanan. Evaluation of Flexible Strategies to Manage the COVID-19 Pandemic in the Education Sector. Global Journal of Flexible Systems Management. 2021; ():1-25.

Chicago/Turabian Style

Sayem Ahmed; Hasin Md. Muhtasim Taqi; Yeasir Iqbal Farabi; Mohiuddin Sarker; Syed Mithun Ali; Bathrinath Sankaranarayanan. 2021. "Evaluation of Flexible Strategies to Manage the COVID-19 Pandemic in the Education Sector." Global Journal of Flexible Systems Management , no. : 1-25.

Article
Published: 07 April 2021 in International Journal of Fuzzy Systems
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Ahmed 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.

Journal article
Published: 26 March 2021 in Sustainable Production and Consumption
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Circular economy practices are considered an important initiative in achieving sustainable development goals; however, studies synergizing circular economy and sustainable development goals are limited. The leather industry, widely criticized for its adverse environmental impacts, has the strong potential to implement circular economy practices. Further, the leather industry is considered a foundational source for economically marginalized sectors and it is a major economic contributor to emerging economies. Thus, the leather industry plays a significant role in attaining sustainable development goals. Hence, a study on circular economy practices considering the leather industry is of significant importance. This paper proposes a methodological framework for evaluating the inhibitors to circular economy practices in the leather industry. For identifying the critical inhibitors to circular economy practices, this study uses a systematic literature review and identifies twenty-five inhibitors. A hybrid multi-criteria decision-making method combining the grey-decision making trial and evaluation laboratory with fuzzy complex proportional assessment method is employed for evaluating the inhibitors to circular economy practices. The findings of the study reveal that the uncertainty of consumer demand, lack of social awareness, stakeholders with short-term agendas, a lack of technologies and technical skills, and challenges in the safe return of waste to the biosphere are the five most influential inhibitors in circular economy practices. These findings can assist the industrial community and governmental agencies in formulating the required strategies to implement circular economy practices in the leather industry.

ACS Style

Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Mithun Ali; Charbel Jose Chiappetta Jabbour; R.K.A. Bhalaji. Inhibitors to circular economy practices in the leather industry using an integrated approach: Implications for sustainable development goals in emerging economies. Sustainable Production and Consumption 2021, 27, 1554 -1568.

AMA Style

Koppiahraj Karuppiah, Bathrinath Sankaranarayanan, Syed Mithun Ali, Charbel Jose Chiappetta Jabbour, R.K.A. Bhalaji. Inhibitors to circular economy practices in the leather industry using an integrated approach: Implications for sustainable development goals in emerging economies. Sustainable Production and Consumption. 2021; 27 ():1554-1568.

Chicago/Turabian Style

Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Mithun Ali; Charbel Jose Chiappetta Jabbour; R.K.A. Bhalaji. 2021. "Inhibitors to circular economy practices in the leather industry using an integrated approach: Implications for sustainable development goals in emerging economies." Sustainable Production and Consumption 27, no. : 1554-1568.

Journal article
Published: 24 March 2021 in Sustainable Production and Consumption
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Poor maintenance practices lead to significant economic, environmental, and social problems and affect the sustainable manufacturing paradigm. The predictive maintenance (PdM) technique helps to minimise problems by forecasting the conditions of the machines. Hence, it is essential for industrial managers to have sustainable predictive maintenance (SPM) practices in place to achieve economic, environmental, and social objectives in their manufacturing environments. However, industrial managers face numerous barriers that may prevent the adoption of SPM practices, and this study aims to identify and evaluate barriers to SPM practices. Initially, by literature review, thirty barriers were identified, and then, using the Pareto analysis, twenty barriers were finalized for evaluation. This study uses an integrated Interpretive Structural Modeling (ISM) and Grey-Decision-making trial and evaluation laboratory (DEMATEL) technique to understand the hierarchies and interrelationships among the barriers to SPM practices. A sensitivity analysis was conducted to examine the robustness of the result. The study reveals that no independent barriers are present in the course of study. Results indicate that poor commitment from top management, lack of a standard performance analysis system, no synchronization among technologies, a lack of awareness on sustainable maintenance practice among stakeholders, and the organization's reluctance to change are the primary causal barriers to SPM practices. This study implies that SPM practices can be productive for industrial communities when industries enhance their technological capability and show interest in maintenance activity. The findings of this study help industrial managers and policymakers to better understand the nature of the barriers towards implementing SPM practices in a manufacturing environment.

ACS Style

Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Mithun Ali. On sustainable predictive maintenance: Exploration of key barriers using an integrated approach. Sustainable Production and Consumption 2021, 1 .

AMA Style

Koppiahraj Karuppiah, Bathrinath Sankaranarayanan, Syed Mithun Ali. On sustainable predictive maintenance: Exploration of key barriers using an integrated approach. Sustainable Production and Consumption. 2021; ():1.

Chicago/Turabian Style

Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Mithun Ali. 2021. "On sustainable predictive maintenance: Exploration of key barriers using an integrated approach." Sustainable Production and Consumption , no. : 1.

Journal article
Published: 24 February 2021 in Journal of Computational Design and Engineering
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Warehouses constitute a key component of supply chain networks. An improvement to the operational efficiency and the productivity of warehouses is crucial for supply chain practitioners and industrial managers. Overall warehouse efficiency largely depends on synergic performance. The managers preemptively estimate the overall warehouse performance (OWP), which requires an accurate prediction of a warehouse’s key performance indicators (KPIs). This research aims to predict the KPIs of a ready-made garment (RMG) warehouse in Bangladesh with a low forecasting error in order to precisely measure OWP. Incorporating advice from experts, conducting a literature review, and accepting the limitations of data availability, this study identifies 13 KPIs. The traditional grey method (GM)—the GM (1, 1) model—is established to estimate the grey data with limited historical information but not absolute. To reduce the limitations of GM (1, 1), this paper introduces a novel particle swarm optimization (PSO)-based grey model—PSOGM (1, 1)—to predict the warehouse’s KPIs with less forecasting error. This study also uses the genetic algorithm (GA)-based grey model—GAGM (1, 1)—the discrete grey model—DGM (1, 1)—to assess the performance of the proposed model in terms of the mean absolute percentage error and other assessment metrics. The proposed model outperforms the existing grey models in projecting OWP through the forecasting of KPIs over a 5-month period. To find out the optimal parameters of the PSO and GA algorithms before combining them with the grey model, this study adopts the Taguchi design method. Finally, this study aims to help warehouse professionals make quick OWP estimations in advance to take control measures regarding warehouse productivity and efficiency.

ACS Style

Rakibul Islam; Syed Mithun Ali; Amir Mohammad Fathollahi-Fard; Golam Kabir. A novel particle swarm optimization-based grey model for the prediction of warehouse performance. Journal of Computational Design and Engineering 2021, 8, 705 -727.

AMA Style

Rakibul Islam, Syed Mithun Ali, Amir Mohammad Fathollahi-Fard, Golam Kabir. A novel particle swarm optimization-based grey model for the prediction of warehouse performance. Journal of Computational Design and Engineering. 2021; 8 (2):705-727.

Chicago/Turabian Style

Rakibul Islam; Syed Mithun Ali; Amir Mohammad Fathollahi-Fard; Golam Kabir. 2021. "A novel particle swarm optimization-based grey model for the prediction of warehouse performance." Journal of Computational Design and Engineering 8, no. 2: 705-727.

Research article
Published: 05 February 2021 in International Journal of Systems Science: Operations & Logistics
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This paper proposes a multi-objective robust-stochastic humanitarian logistics model to assist disaster management officials in making optimal pre- and post-disaster decisions. This model identifies the location of temporary facilities, determines the amount of commodity to be pre-positioned, and provides a detailed schedule for the distribution of commodities and the dispatch of vehicles. Uncertainties in demand, node reachability by a particular mode of transportation, and condition of pre-positioned supplies after a disaster are considered. Another supposition of this paper is the equity in the distribution of commodities. This paper contributes to the existing literature by adding vehicle flow and multi-periodicity into a robust-stochastic optimisation model. A real-life case study of a flood in Bangladesh shows the applicability of our model. Finally, the findings show that the proposed model can aid decision-makers in allocating resources optimally.

ACS Style

Zuhayer Mahtab; Abdullahil Azeem; Syed Mithun Ali; Sanjoy Kumar Paul; Amir Mohammad Fathollahi-Fard. Multi-objective robust-stochastic optimisation of relief goods distribution under uncertainty: a real-life case study. International Journal of Systems Science: Operations & Logistics 2021, 1 -22.

AMA Style

Zuhayer Mahtab, Abdullahil Azeem, Syed Mithun Ali, Sanjoy Kumar Paul, Amir Mohammad Fathollahi-Fard. Multi-objective robust-stochastic optimisation of relief goods distribution under uncertainty: a real-life case study. International Journal of Systems Science: Operations & Logistics. 2021; ():1-22.

Chicago/Turabian Style

Zuhayer Mahtab; Abdullahil Azeem; Syed Mithun Ali; Sanjoy Kumar Paul; Amir Mohammad Fathollahi-Fard. 2021. "Multi-objective robust-stochastic optimisation of relief goods distribution under uncertainty: a real-life case study." International Journal of Systems Science: Operations & Logistics , no. : 1-22.

Journal article
Published: 05 February 2021 in Sustainable Production and Consumption
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This paper seeks to develop a framework to identify, analyse, and assess the mining industry's key challenges in terms of environmental, operational, and social issues. For each issue, 15 challenges have been identified from experts’ opinions and from the relevant literature; each is examined in a real-world industrial setting. South India's mining industry is utilized to categorize and to determine crucial challenges based on an identification of their causal relationships. A fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) is used to assess and rank the challenges of each issue. Results reveal that climate change, lack of availability of capital, and unfair wages are the top challenges in the environmental, operational, and social issues, respectively, in India's mining industry. The proposed method is found effective in attaining the causal relationships and ranking amongst the identified challenges. The outcomes help decision-makers and industrial managers to take remedial actions such as adopting new technologies and innovations to protect the environment, improve the operating conditions, and facilitate social benefits to resolve the mining industry's challenges.

ACS Style

Ramaganesh Marimuthu; Bathrinath Sankaranarayanan; Syed Mithun Ali; Ana Beatriz Lopes De Sousa Jabbour; Koppiahraj Karuppiah. Assessment of key socio-economic and environmental challenges in the mining industry: Implications for resource policies in emerging economies. Sustainable Production and Consumption 2021, 27, 814 -830.

AMA Style

Ramaganesh Marimuthu, Bathrinath Sankaranarayanan, Syed Mithun Ali, Ana Beatriz Lopes De Sousa Jabbour, Koppiahraj Karuppiah. Assessment of key socio-economic and environmental challenges in the mining industry: Implications for resource policies in emerging economies. Sustainable Production and Consumption. 2021; 27 ():814-830.

Chicago/Turabian Style

Ramaganesh Marimuthu; Bathrinath Sankaranarayanan; Syed Mithun Ali; Ana Beatriz Lopes De Sousa Jabbour; Koppiahraj Karuppiah. 2021. "Assessment of key socio-economic and environmental challenges in the mining industry: Implications for resource policies in emerging economies." Sustainable Production and Consumption 27, no. : 814-830.

Original article
Published: 23 January 2021 in International Journal of System Assurance Engineering and Management
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This paper develops an integrated economic model for the joint optimization of quality control parameters and a preventive maintenance policy using the cumulative sum (CUSUM) control chart and variable sampling interval fixed time sampling policy. To determine the in-control and out-of-control cost for both mean and variance, a Taguchi quadratic loss function and modified linear loss function are used, respectively. Imperfect preventive maintenance and minimal corrective maintenance policies were considered in developing the model, which determines the optimal values for significant process parameters to minimize the total expected cost per unit of time. A numerical example is used to test the model, which is followed by a sensitivity analysis. The integration of CUSUM mean and variance charts with the maintenance actions are proven successful to detect the slightest shift of the process. The findings reveal that among all the cost components, process failure due to external causes and equipment breakdown has a noteworthy attribute to the total costs of the optimized model. It is expected that top managers can utilize the suggested combined model to minimize the costs related to quality loss and maintenance policy and achieve economical advantages as well.

ACS Style

Rajesh Saha; Abdullahil Azeem; Kazi Wahadul Hasan; Syed Mithun Ali; Sanjoy Kumar Paul. Integrated economic design of quality control and maintenance management: Implications for managing manufacturing process. International Journal of System Assurance Engineering and Management 2021, 12, 263 -280.

AMA Style

Rajesh Saha, Abdullahil Azeem, Kazi Wahadul Hasan, Syed Mithun Ali, Sanjoy Kumar Paul. Integrated economic design of quality control and maintenance management: Implications for managing manufacturing process. International Journal of System Assurance Engineering and Management. 2021; 12 (2):263-280.

Chicago/Turabian Style

Rajesh Saha; Abdullahil Azeem; Kazi Wahadul Hasan; Syed Mithun Ali; Sanjoy Kumar Paul. 2021. "Integrated economic design of quality control and maintenance management: Implications for managing manufacturing process." International Journal of System Assurance Engineering and Management 12, no. 2: 263-280.

Sustainable supply chain network design
Published: 05 January 2021 in Environmental Science and Pollution Research
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This study develops a mathematical model to mitigate disruptions in a three-stage (i.e., supplier, manufacturer, retailer) supply chain network subject to a natural disaster like COVID-19 pandemic. This optimization model aims to manage supply chain disruptions for a pandemic situation where disruptions can occur to both the supplier and the retailer. This study proposes an inventory policy using the renewal reward theory for maximizing profit for the manufacturer under study. Tested using two heuristics algorithms, namely the genetic algorithm (GA) and pattern search (PS), the proposed inventory-based disruption risk mitigation model provides the manufacturer with an optimum decision to maximize profits in a production cycle. A sensitivity analysis was offered to ensure the applicability of the model in practical settings. Results reveal that the PS algorithm performed better for such model than a heuristic method like GA. The ordering quantity and reordering point were also lower in PS than GA. Overall, it was evident that PS is more suited for this problem. Supply chain managers need to employ appropriate inventory policies to deal with several uncertain conditions, for example, uncertainties arising due to the COVID-19 pandemic. This model can help managers establish and redesign an inventory policy to maximize the profit by considering probable disruptions in the supply chain network.

ACS Style

Kazi Safowan Shahed; Abdullahil Azeem; Syed Mithun Ali; Abdul Moktadir. A supply chain disruption risk mitigation model to manage COVID-19 pandemic risk. Environmental Science and Pollution Research 2021, 1 -16.

AMA Style

Kazi Safowan Shahed, Abdullahil Azeem, Syed Mithun Ali, Abdul Moktadir. A supply chain disruption risk mitigation model to manage COVID-19 pandemic risk. Environmental Science and Pollution Research. 2021; ():1-16.

Chicago/Turabian Style

Kazi Safowan Shahed; Abdullahil Azeem; Syed Mithun Ali; Abdul Moktadir. 2021. "A supply chain disruption risk mitigation model to manage COVID-19 pandemic risk." Environmental Science and Pollution Research , no. : 1-16.

Journal article
Published: 28 December 2020 in International Journal of Occupational Safety and Ergonomics
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The occurrence of occupational accidents and injuries has always been a major concern for industrial management. Such undesirable incidences are higher in developing countries, especially in India than in developed countries. This research aims to identify, analyze, and evaluate the faulty behavior risks (FBRs) that trigger occupational accidents and injuries. Using data triangulation strategy, this study identified 19 faulty behavior risk factors under five categories. An integrated approach comprised of the fuzzy Analytical Network Process (ANP) and Decision-Making Trial and Evaluation Laboratory Model (DEMATEL) is proposed for assessing these FBRs. The five most prominent critical risk factors are the absence of continuous monitoring, defective equipment and maintenance, cognitive bias, proper signage, and adverse ambient working conditions. The study postulates some implications for industrial management to mitigate occupational accidents and injuries based on the outcomes.

ACS Style

Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Mithun Ali. A fuzzy ANP–DEMATEL model on faulty behavior risks: implications for improving safety in the workplace. International Journal of Occupational Safety and Ergonomics 2020, 1 -18.

AMA Style

Koppiahraj Karuppiah, Bathrinath Sankaranarayanan, Syed Mithun Ali. A fuzzy ANP–DEMATEL model on faulty behavior risks: implications for improving safety in the workplace. International Journal of Occupational Safety and Ergonomics. 2020; ():1-18.

Chicago/Turabian Style

Koppiahraj Karuppiah; Bathrinath Sankaranarayanan; Syed Mithun Ali. 2020. "A fuzzy ANP–DEMATEL model on faulty behavior risks: implications for improving safety in the workplace." International Journal of Occupational Safety and Ergonomics , no. : 1-18.

Research article
Published: 22 December 2020 in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
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The global pandemic of COVID-19 has affected most countries and has impacted every household’s operations. Mandatory stay-at-home lockdowns have forced building residents to use more energy for their daily routine activities, giving rise to higher energy usage. The increased energy use by building residents results in high energy bills and leads to a scarcity in the energy supply. Identifying factors that can control the high energy consumption in buildings can be used to optimize energy consumption and act as energy conservation factors. This proposed research is conducted to identify and explore the most influential energy consumption factors amid COVID-19 pandemic in residential buildings using a case study in India. To analyze the energy consumption factors, a Multiple Criteria Decision Making (MCDM) methodology based Best Worst Method (BWM) and a Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology have been integrated. The results show that among 34 comprehensive energy consumption factors, the high priority topmost 50% of the factors were analyzed. The main research outcome indicates that 53% of the factors were in the cause group and the remaining 47% were in the effect group factors. Research results conclude that in response to COVID-19, social distancing, home quarantine, and home transformation were the primary factors for energy consumption in homes. Among the sub-factors, the lockdown of streets, shutdown of public markets, and psychological factors were the top three factors adding to increased energy consumption. Further, Industrial and economic importance of the research is also discussed.

ACS Style

Syed Shuibul Qarnain; Muthuvel Sattanathan; Bathrinath Sankaranarayanan; Syed Mithun Ali. Analyzing energy consumption factors during coronavirus (COVID-19) pandemic outbreak: a case study of residential society. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2020, 1 -20.

AMA Style

Syed Shuibul Qarnain, Muthuvel Sattanathan, Bathrinath Sankaranarayanan, Syed Mithun Ali. Analyzing energy consumption factors during coronavirus (COVID-19) pandemic outbreak: a case study of residential society. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2020; ():1-20.

Chicago/Turabian Style

Syed Shuibul Qarnain; Muthuvel Sattanathan; Bathrinath Sankaranarayanan; Syed Mithun Ali. 2020. "Analyzing energy consumption factors during coronavirus (COVID-19) pandemic outbreak: a case study of residential society." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects , no. : 1-20.

Journal article
Published: 14 November 2020 in Sustainability
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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.

ACS Style

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 Style

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 (22):9483.

Chicago/Turabian Style

Hasin 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.