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Dr. Sanjoy Kumar Paul
University of Technology Sydney

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0 Operations Management
0 Operations Research
0 Supply Chain
0 Sustainability
0 Decision making

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Journal article
Published: 02 August 2021 in Journal of Business Research
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The COVID-19 pandemic has revealed the fragility of global supply chains arising from raw material scarcity, production and transportation disruption, and social distancing. Firms need to carefully anticipate the difficulties during recovery and formulate appropriate strategies to ensure the survival of their businesses and supply chains. To enhance awareness of the issues, this research aims to identify and model recovery challenges in the context of the Bangladeshi ready-made garment industry. A Delphi-based grey decision-making trial and evaluation laboratory (DEMATEL) methodology was used to analyze the data. While the Delphi method helped identify the major supply chain recovery challenges from the impacts of the COVID-19 pandemic, the grey DEMATEL approach helped categorize the causal relationships among these challenges. Of the 23 recovery challenges finalized, 12 are causal challenges. The study’s findings can assist decision-makers in developing strategic policies to overcome the recovery challenges in the post-COVID-19 era.

ACS Style

Sanjoy Kumar Paul; Priyabrata Chowdhury; Abdul Moktadir; Kwok Hung Lau. Supply chain recovery challenges in the wake of COVID-19 pandemic. Journal of Business Research 2021, 136, 316 -329.

AMA Style

Sanjoy Kumar Paul, Priyabrata Chowdhury, Abdul Moktadir, Kwok Hung Lau. Supply chain recovery challenges in the wake of COVID-19 pandemic. Journal of Business Research. 2021; 136 ():316-329.

Chicago/Turabian Style

Sanjoy Kumar Paul; Priyabrata Chowdhury; Abdul Moktadir; Kwok Hung Lau. 2021. "Supply chain recovery challenges in the wake of COVID-19 pandemic." Journal of Business Research 136, no. : 316-329.

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: 02 July 2021 in Sustainability
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The disruption has a significant impact on supply chain collaboration (SCC) which is an important task to improve performance for many enterprises. This is especially critical for small- and medium-sized enterprises (SMEs). We developed a decision-modeling framework for analyzing SCC barriers in SMEs for the emerging economy in Bangladesh. Through literature review and expert opinion survey, we have identified a comprehensive list of SCC barriers under four main categories, namely, information-related, communication-related, intra-organizational, and inter-organizational barriers. Then we applied the Grey DEMATEL and Fuzzy Best-Worst methods to evaluate these SCC barriers and compared the results. We also conducted a sensitivity analysis to assess the robustness of the proposed approach. The study reveals that lack of communication is the most crucial barrier in SCC, providing a model for assessing barriers in other emerging economies. This study contributes to the literature by analyzing SCC barriers and by comparing the results obtained from two different MCDM methods. The findings of this study can help decision-makers to plan for overcoming the most prioritized SCC barriers which ultimately contribute to improving the resilience and sustainability performances of SMEs.

ACS Style

Priom Mahmud; Sanjoy Paul; Abdullahil Azeem; Priyabrata Chowdhury. Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises. Sustainability 2021, 13, 7449 .

AMA Style

Priom Mahmud, Sanjoy Paul, Abdullahil Azeem, Priyabrata Chowdhury. Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises. Sustainability. 2021; 13 (13):7449.

Chicago/Turabian Style

Priom Mahmud; Sanjoy Paul; Abdullahil Azeem; Priyabrata Chowdhury. 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises." Sustainability 13, no. 13: 7449.

Review
Published: 24 June 2021 in Sustainability
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Multi-criteria decision-making (MCDM) methods are smart tools to deal with numerous criteria in decision-making. These methods have been widely applied in the area of sustainable supply chain management (SSCM) because of their computational capabilities. This paper conducts a systematic literature review on MCDM methods applied in different areas of SSCM. From the literature search, a total of 106 published journal articles have been selected and analyzed. Both individual and integrated MCDM methods applied in SSCM are reviewed and summarized. In addition, contributions, methodological focuses, and findings of the reviewed articles are discussed. It is observed that MCDM methods are widely used for analyzing barriers, challenges, drivers, enablers, criteria, performances, and practices of SSCM. In recent years, studies have focused on integrating more than one MCDM method to highlight methodological contributions in SSCM; however, in the literature, limited research papers integrate multiple MCDM methods in the area of SSCM. Most of the published articles integrate only two MCDM methods, and integration with other methods, such as optimization and simulation techniques, is missing in the literature. This review paper contributes to the literature by analyzing existing research, identifying research gaps, and proposing new future research opportunities in the area of sustainable supply chain management applying MCDM methods.

ACS Style

Ananna Paul; Nagesh Shukla; Sanjoy Paul; Andrea Trianni. Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review. Sustainability 2021, 13, 7104 .

AMA Style

Ananna Paul, Nagesh Shukla, Sanjoy Paul, Andrea Trianni. Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review. Sustainability. 2021; 13 (13):7104.

Chicago/Turabian Style

Ananna Paul; Nagesh Shukla; Sanjoy Paul; Andrea Trianni. 2021. "Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review." Sustainability 13, no. 13: 7104.

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.

Original research
Published: 03 June 2021 in Annals of Operations Research
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In this paper, a multi-echelon, multi-period, decentralized supply chain (SC) with a single manufacturer, single distributor and single retailer is considered. For this setting, a two-phase planning approach combining centralized and decentralized decision-making processes is proposed, in which the first-phase planning is a coordinated centralized controlled, and the second-phase planning is viewed as independent decentralized decision-making for individual entities. This research focuses on the independence and equally powerful behavior of the individual entities with the aim of achieving the maximum profit for each stage. A mathematical model for total SC coordination as a first-phase planning problem and separate ones for each of the independent members with their individual objectives and constraints as second-phase planning problems are developed. We introduce a new solution approach using a goal programming technique in which a target or goal value is set for each independent decision problem to ensure that it obtains a near value for its individual optimum profit, with a numerical analysis presented to explain the results. Moreover, the proposed two-phase model is compared with a single-phase approach in which all stages are considered dependent on each other as parts of a centralized SC. The results prove that the combined two-phase planning method for a decentralized SC network is more realistic and effective than a traditional single-phase one.

ACS Style

Marjia Haque; Sanjoy Kumar Paul; Ruhul Sarker; Daryl Essam. A combined approach for modeling multi-echelon multi-period decentralized supply chain. Annals of Operations Research 2021, 1 -38.

AMA Style

Marjia Haque, Sanjoy Kumar Paul, Ruhul Sarker, Daryl Essam. A combined approach for modeling multi-echelon multi-period decentralized supply chain. Annals of Operations Research. 2021; ():1-38.

Chicago/Turabian Style

Marjia Haque; Sanjoy Kumar Paul; Ruhul Sarker; Daryl Essam. 2021. "A combined approach for modeling multi-echelon multi-period decentralized supply chain." Annals of Operations Research , no. : 1-38.

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.

Journal article
Published: 18 May 2021 in Computers & Industrial Engineering
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The current COVID-19 pandemic has hugely disrupted supply chains (SCs) in different sectors globally. The global demand for many essential items (e.g., facemasks, food products) has been phenomenal, resulting in supply failure. SCs could not keep up with the shortage of raw materials, and manufacturing firms could not ramp up their production capacity to meet these unparalleled demand levels. This study aimed to examine a set of congruent strategies and recovery plans to minimize the cost and maximize the availability of essential items to respond to global SC disruptions. We used facemask SCs as an example and simulated the current state of its supply and demand using the agent-based modeling method. We proposed two main recovery strategies relevant to building emergency supply and extra manufacturing capacity to mitigate SC disruptions. Our findings revealed that minimizing the risk response time and maximizing the production capacity helped essential item manufacturers meet consumers’ skyrocketing demands and timely supply to consumers, reducing financial shocks to firms. Our study suggested that delayed implementation of the proposed recovery strategies could lead to supply, demand, and financial shocks for essential item manufacturers. This study scrutinized strategies to mitigate the demand–supply crisis of essential items. It further proposed congruent strategies and recovery plans to alleviate the problem in the exceptional disruptive event caused by COVID-19.

ACS Style

Towfique Rahman; Firouzeh Taghikhah; Sanjoy Kumar Paul; Nagesh Shukla; Renu Agarwal. An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic. Computers & Industrial Engineering 2021, 158, 107401 .

AMA Style

Towfique Rahman, Firouzeh Taghikhah, Sanjoy Kumar Paul, Nagesh Shukla, Renu Agarwal. An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic. Computers & Industrial Engineering. 2021; 158 ():107401.

Chicago/Turabian Style

Towfique Rahman; Firouzeh Taghikhah; Sanjoy Kumar Paul; Nagesh Shukla; Renu Agarwal. 2021. "An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic." Computers & Industrial Engineering 158, no. : 107401.

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.

Review
Published: 13 February 2021 in Transportation Research Part E: Logistics and Transportation Review
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The global spread of the novel coronavirus, also known as the COVID-19 pandemic, has had a devastating impact on supply chains. Since the pandemic started, scholars have been researching and publishing their studies on the various supply-chain-related issues raised by COVID-19. However, while the number of articles on this subject has been steadily increasing, due to the absence of any systematic literature reviews, it remains unclear what aspects of this disruption have already been studied and what aspects still need to be investigated. The present study systematically reviews existing research on the COVID-19 pandemic in supply chain disciplines. Through a rigorous and systematic search, we identify 74 relevant articles published on or before 28 September 2020. The synthesis of the findings reveals that four broad themes recur in the published work: namely, impacts of the COVID-19 pandemic, resilience strategies for managing impacts and recovery, the role of technology in implementing resilience strategies, and supply chain sustainability in the light of the pandemic. Alongside the synthesis of the findings, this study describes the methodologies, context, and theories used in each piece of research. Our analysis reveals that there is a lack of empirically designed and theoretically grounded studies in this area; hence, the generalizability of the findings, thus far, is limited. Moreover, the analysis reveals that most studies have focused on supply chains for high-demand essential goods and healthcare products, while low-demand items and SMEs have been largely ignored. We also review the literature on prior epidemic outbreaks and other disruptions in supply chain disciplines. By considering the findings of these articles alongside research on the COVID-19 pandemic, this study offers research questions and directions for further investigation. These directions can guide scholars in designing and conducting impactful research in the field.

ACS Style

Priyabrata Chowdhury; Sanjoy Kumar Paul; Shahriar Kaisar; Abdul Moktadir. COVID-19 pandemic related supply chain studies: A systematic review. Transportation Research Part E: Logistics and Transportation Review 2021, 148, 102271 -102271.

AMA Style

Priyabrata Chowdhury, Sanjoy Kumar Paul, Shahriar Kaisar, Abdul Moktadir. COVID-19 pandemic related supply chain studies: A systematic review. Transportation Research Part E: Logistics and Transportation Review. 2021; 148 ():102271-102271.

Chicago/Turabian Style

Priyabrata Chowdhury; Sanjoy Kumar Paul; Shahriar Kaisar; Abdul Moktadir. 2021. "COVID-19 pandemic related supply chain studies: A systematic review." Transportation Research Part E: Logistics and Transportation Review 148, no. : 102271-102271.

Journal article
Published: 10 February 2021 in Expert Systems with Applications
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The purpose of this paper is to develop a framework to identify, analyze, and to assess supply chain disruption factors and drivers. Based on an empirical analysis, four disruption factor categories including natural, human-made, system accidents, and financials with a total of sixteen disruption drivers are identified and examined in a real-world industrial setting. This research utilizes an integrated approach comprising both the Delphi method and the fuzzy analytic hierarchy process (FAHP). To test this integrated method, one of the well-known examples in industrial contexts of developing countries, the ready-made garment industry in Bangladesh is considered. To evaluate this industrial example, a sensitivity analysis is conducted to ensure the robustness and viability of the framework in practical settings. This study not only expands the literature scope of supply chain disruption risk assessment but through its application in any context or industry will reduce the impact of such disruptions and enhance the overall supply chain resilience. Consequently, these enhanced capabilities arm managers the ability to formulate relevant mitigation strategies that are robust and computationally efficient. These strategies will allow managers to take calculated decisions proactively. Finally, the results reveal that political and regulatory instability, cyclones, labor strikes, flooding, heavy rain, and factory fires are the top six disruption drivers causing disruptions to the ready-made garment industry in Bangladesh.

ACS Style

Syed Mithun Ali; Sanjoy Kumar Paul; Priyabrata Chowdhury; Renu Agarwal; Amir Mohammad Fathollahi-Fard; Charbel Jose Chiappetta Jabbour; Sunil Luthra. Modelling of supply chain disruption analytics using an integrated approach: An emerging economy example. Expert Systems with Applications 2021, 173, 114690 .

AMA Style

Syed Mithun Ali, Sanjoy Kumar Paul, Priyabrata Chowdhury, Renu Agarwal, Amir Mohammad Fathollahi-Fard, Charbel Jose Chiappetta Jabbour, Sunil Luthra. Modelling of supply chain disruption analytics using an integrated approach: An emerging economy example. Expert Systems with Applications. 2021; 173 ():114690.

Chicago/Turabian Style

Syed Mithun Ali; Sanjoy Kumar Paul; Priyabrata Chowdhury; Renu Agarwal; Amir Mohammad Fathollahi-Fard; Charbel Jose Chiappetta Jabbour; Sunil Luthra. 2021. "Modelling of supply chain disruption analytics using an integrated approach: An emerging economy example." Expert Systems with Applications 173, no. : 114690.

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.

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.

Conference paper
Published: 14 December 2020 in 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
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In this paper, we have considered a multistage decentralized supply chain (SC) with different independent entities where each stage’s decision is made based on more than one objective. To do so, mathematical models are developed based on the concepts of the bilevel planning. Here, a strategy of total SC coordination is proposed as an upper level optimization problem with two objectives which are assumed to be implemented by an independent body. Different multiple objectives are considered in each SC stage as lower level problems. We developed a solution approach and solved the model with a multi-objective genetic algorithm approach using Matlab. From the pareto graph analysis, we considered different scenarios to obtain values that allow the decision-maker to select a suitable solution. Moreover, our proposed model is compared with a single-level centralized approach, with two commonly used objectives from literature. The comparison shows that modelling a complete decentralized SC network with independent entities having individual multiple objectives with our proposed model is more realistic and effective than single-level centralized modelling.

ACS Style

Marjia Haque; Sanjoy Kumar Paul; Ruhul Sarker; Daryl Essam. Bi-objective Multistage Decentralized Supply Chain Planning. 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2020, 766 -770.

AMA Style

Marjia Haque, Sanjoy Kumar Paul, Ruhul Sarker, Daryl Essam. Bi-objective Multistage Decentralized Supply Chain Planning. 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 2020; ():766-770.

Chicago/Turabian Style

Marjia Haque; Sanjoy Kumar Paul; Ruhul Sarker; Daryl Essam. 2020. "Bi-objective Multistage Decentralized Supply Chain Planning." 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) , no. : 766-770.

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.

Journal article
Published: 11 November 2020 in Computers & Industrial Engineering
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The Resource Constrained Project Scheduling Problem (RCPSP) is a combinatorial optimization problem which is non-deterministic polynomial-time (NP)-hard in nature. Due to the diversified applications of RCPSPs, they have been commonly used as scheduling procedures in real-world problems. Since, in practice, project data are prone to changes or disruptions, this paper introduces a mathematical model for a reactive scheduling approach, called the Event Based Reactive Approach (EBRA). This proposed EBRA approach is employed to examine its recovery performance under both a single disruption and a series of independent resource disruptions. Several simulated disruption data are hypothesized to represent real-world disruption scenarios and, without loss of generality, the proposed reactive approach is proved to be efficient in reducing the number of variables and computational complexity and also to be resilient in realistic changes, such as duration inflation and dynamic resource usages. Along with employing an exact method by LINGO software, this paper also proposes an enhanced iterated greedy (EnIG) approach to meta-heuristically solve larger and computationally expensive benchmark instances taken from the Project Scheduling Library (PSPLIB).

ACS Style

Ripon K. Chakrabortty; Humyun Fuad Rahman; Khan M.A. Haque; Sanjoy Kumar Paul; Michael J. Ryan. An event-based reactive scheduling approach for the Resource Constrained Project Scheduling Problem with unreliable resources. Computers & Industrial Engineering 2020, 151, 106981 .

AMA Style

Ripon K. Chakrabortty, Humyun Fuad Rahman, Khan M.A. Haque, Sanjoy Kumar Paul, Michael J. Ryan. An event-based reactive scheduling approach for the Resource Constrained Project Scheduling Problem with unreliable resources. Computers & Industrial Engineering. 2020; 151 ():106981.

Chicago/Turabian Style

Ripon K. Chakrabortty; Humyun Fuad Rahman; Khan M.A. Haque; Sanjoy Kumar Paul; Michael J. Ryan. 2020. "An event-based reactive scheduling approach for the Resource Constrained Project Scheduling Problem with unreliable resources." Computers & Industrial Engineering 151, no. : 106981.

Journal article
Published: 24 October 2020 in Sustainable Production and Consumption
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In recent years, the need for achieving an environmentally sustainable supply chain has become a prominent concern among researchers as well as industry practitioners. However, there exists an insufficiency of comprehensive studies on the critical factors for environmental sustainability in the context of an emerging economy. To fill this research gap, the present study aims to determine and analyze the critical success factors (CSFs) for implementing Environmentally Sustainable Supply Chain Management (ESSCM) practices considering the readymade garment (RMG) sector of Bangladesh. Initially, fourteen CSFs were sorted-out based on a review of the existing literature. We then held an interactive discussion session with industry experts to screen these candidate CSFs vis-à-vis the RMG industry of Bangladesh. The experts agreed on ten factors that we then processed further intending to understand the contextual relationships and interdependency among them. For this purpose, we applied the Total Interpretive Structural Modeling (TISM) technique. Moreover, we implemented a Cross-impact Matrix Multiplication Applied to Classification (MICMAC) analysis to classify the CSFs according to the influence and dependence level of each factor. Our findings indicate that all the identified CSFs are interrelated and “Effective government policies” is the most dominating CSF that acts independently but influences other CSFs either directly or indirectly. The findings can help motivate managers in the RMG industry to concentrate on the most relevant CSFs, thereby accomplishing ESSCM more effectively in the context of an emerging economy.

ACS Style

Shafayet Ullah Sabuj; Syed Mithun Ali; Kazi Wahadul Hasan; Sanjoy Kumar Paul. Contextual relationships among key factors related to environmental sustainability: Evidence from an emerging economy. Sustainable Production and Consumption 2020, 27, 86 -99.

AMA Style

Shafayet Ullah Sabuj, Syed Mithun Ali, Kazi Wahadul Hasan, Sanjoy Kumar Paul. Contextual relationships among key factors related to environmental sustainability: Evidence from an emerging economy. Sustainable Production and Consumption. 2020; 27 ():86-99.

Chicago/Turabian Style

Shafayet Ullah Sabuj; Syed Mithun Ali; Kazi Wahadul Hasan; Sanjoy Kumar Paul. 2020. "Contextual relationships among key factors related to environmental sustainability: Evidence from an emerging economy." Sustainable Production and Consumption 27, no. : 86-99.

Journal article
Published: 12 October 2020 in Journal of Cleaner Production
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In the present competitive business environment and era of globalized marketing, supply chain (SC) of the leather industry is facing a variety of risks. Hence, one of the fundamental concerns in the leather industry supply chain (LISC) is recognizing and prioritizing the various risk factors for attaining sustainability. The present study is an attempt to determine a comprehensive evaluation of SC risk factors considering the case of the leather industry. Based on the literature search and interviews with the domain experts’, forty-four risk factors in the context of LISC are identified. The identified risk factors are further segregated into five-dimensions to sustainability (social, environmental, economic, technical, and institutional). A Pareto analysis is performed to discover the most pertinent risk factors. Further, the best-worst method (BWM) is embraced for evaluating the importance of each pertinent risk factor for the decision-making purpose. The findings from the study reflect that ‘inefficient effluent treatment’, ‘change in consumer preference’, ‘improper dumping of solid waste’, ‘volatility of price and cost’ and ‘fiscal changes’ are the crucial risk factors that are required to be addressed for the successful execution of sustainable supply chain management (SSCM) practices in an emerging economy context. It is expected that the results and findings will assist the leather industry managers in decision-making for better administration and alleviation of supply chain risks to achieve sustainability.

ACS Style

Abdul Moktadir; Ashish Dwivedi; Nadia Sultana Khan; Sanjoy Kumar Paul; Sharfuddin Ahmed Khan; Sobur Ahmed; Razia Sultana. Analysis of risk factors in sustainable supply chain management in an emerging economy of leather industry. Journal of Cleaner Production 2020, 283, 124641 .

AMA Style

Abdul Moktadir, Ashish Dwivedi, Nadia Sultana Khan, Sanjoy Kumar Paul, Sharfuddin Ahmed Khan, Sobur Ahmed, Razia Sultana. Analysis of risk factors in sustainable supply chain management in an emerging economy of leather industry. Journal of Cleaner Production. 2020; 283 ():124641.

Chicago/Turabian Style

Abdul Moktadir; Ashish Dwivedi; Nadia Sultana Khan; Sanjoy Kumar Paul; Sharfuddin Ahmed Khan; Sobur Ahmed; Razia Sultana. 2020. "Analysis of risk factors in sustainable supply chain management in an emerging economy of leather industry." Journal of Cleaner Production 283, no. : 124641.

Article
Published: 30 September 2020 in Operations Management Research
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This research investigates the impacts of the novel coronavirus disease, also referred to as COVID-19 pandemic, on the food and beverage industry. It examines both short-term and medium-to-long-term impacts of the pandemic and outlines strategies to reduce the potential consequences of those impacts. To this end, we use a qualitative, multiple-case-study methodology, collecting data from eight sample companies with fourteen respondents in the food and beverage industry in Bangladesh. The findings show that the short-term impacts of this pandemic, such as product expiry, shortage of working capital, and limited operations of distributors, are severe, while the medium-to-long-term impacts promise to be complex and uncertain. In the longer term, various performance metrics, such as return on investment by the firms, the contribution of the firms to the gross domestic product (GDP), and employee size, are all expected to decrease. Moreover, firms may need to restructure their supply chain and build relationships with new distributors and trade partners. The study proposes several strategies that managers in this sector can adopt to improve resiliency in the changing environment during and after the COVID-19 era. While this research is novel and contributes to both theory and practice, it does not consider small and medium-sized companies in the food and beverage industry. Therefore, the impacts and strategies we identify may not apply to smaller companies.

ACS Style

Tarek Chowdhury; Aditi Sarkar; Sanjoy Kumar Paul; Abdul Moktadir. A case study on strategies to deal with the impacts of COVID-19 pandemic in the food and beverage industry. Operations Management Research 2020, 1 -13.

AMA Style

Tarek Chowdhury, Aditi Sarkar, Sanjoy Kumar Paul, Abdul Moktadir. A case study on strategies to deal with the impacts of COVID-19 pandemic in the food and beverage industry. Operations Management Research. 2020; ():1-13.

Chicago/Turabian Style

Tarek Chowdhury; Aditi Sarkar; Sanjoy Kumar Paul; Abdul Moktadir. 2020. "A case study on strategies to deal with the impacts of COVID-19 pandemic in the food and beverage industry." Operations Management Research , no. : 1-13.

Journal article
Published: 18 September 2020 in Computers & Industrial Engineering
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Syed 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.