Hasin Md. Muhtasim Taqi

Bio: Hasin Md. Muhtasim Taqi is an academic researcher from Ahsanullah University of Science and Technology. The author has contributed to research in topics: Business & Circular economy. The author has an hindex of 3, co-authored 3 publications receiving 37 citations. Previous affiliations of Hasin Md. Muhtasim Taqi include Bangladesh University of Engineering and Technology.

Strategies to Manage the Impacts of the COVID-19 Pandemic in the Supply Chain: Implications for Improving Economic and Social Sustainability

Abstract: 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.

Evaluation of Flexible Strategies to Manage the COVID-19 Pandemic in the Education Sector

Abstract: 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.

Critical success factors for implementing green supply chain management in the electronics industry: an emerging economy case

Abstract: This study examines critical success factors (CSFs) for the implementation of green supply chain management (GSCM) for the electronics industry of an emerging economy. Based on a literature review,...

A supply chain disruption risk mitigation model to manage COVID-19 pandemic risk.

Abstract: 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.

Addressing the Challenges to Sustainable Initiatives in Value Chain Flexibility: Implications for Sustainable Development Goals

Abstract: The value chain refers to the source of competition to facilitate organizations to maximize and sustain value for their consumers. Value chain flexibility is necessary to build sustainable initiatives in addressing ambiguity. In the literature, there is a lack of framework to highlight the challenges to sustainable initiatives in value chain flexibility. This study fills this research gap by suggesting a framework for challenges to sustainable initiatives in value chain flexibility. In this study, thirteen potential challenges to sustainable initiatives in value chain flexibility are identified and an integrated model is developed. It adopts the modified Total Interpretive Structure Model and the Cross-Impact Matrix Multiplication Applied to Classification methodology. The mixed approach is used as the modified Total Interpretive Structure Model organizes the binary interactions among the challenges, while Cross-Impact Matrix Multiplication Applied to Classification analysis organizes specific precise assessments of the driving power and dependence of the challenges. The results of the study reflect that (i) lack of supplier commitment to sustainable products and (ii) lack of knowledge toward sustainability in value chains are the challenges that achieved the highest driving power. The challenge ‘inadequate communication among the suppliers in the value chain’ is at the highest level in the analysis. The proposed framework could help government and non-government bodies to formulate policies to efficiently address challenges to sustainable initiatives in value chain flexibility.