1,721,108 research outputs found
Optimizing Sustainable Production in the Readymade Garments Industry: A Multi-Objective Approach
No full textThe Readymade Garments (RMG) industry in Bangladesh is a significant economic driver but faces challenges concerning environmental sustainability. This research explores optimizing production processes to balance profit maximization with environmental impact minimization. A multi-objective optimization model is developed and applied to a case study involving ten commonly produced garments. The analysis confirms the inherent trade-off between economic and environmental objectives. Increased production leads to higher profits but also a heavier environmental footprint. A feasible production range is identified, with key insights provided on navigating the tradeoff between profit and environmental impact. This research proposes an implementation roadmap for RMG companies to utilize the developed multi-objective optimization model. This research demonstrates the potential of the model for promoting sustainable growth in the Bangladeshi RMG industry
QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries
Full text linkIn response to heightened pressures from regulatory mandates, global competition, and evolving customer expectations, industries worldwide are compelled to prioritize environmental initiatives, often at the expense of economic considerations. The research gap addressed in this study is the lack of a comprehensive, data-driven optimization model for effectively mitigating sustainable supply chain management adoption challenges specific to the Bangladeshi Readymade Garments (RMG) industry. While previous studies often relied on single techniques, this research proposes a novel AHP integrated QFD-based MILP optimization model. This innovative approach empowers Bangladeshi RMG industries to make data-driven decisions for prioritizing sustainability challenges and selecting cost-effective mitigation strategies to promote the integration of sustainability initiatives within the sector. The study identifies and prioritizes 25 sustainable supply chain management adoption challenges and proposes 16 mitigation strategies. The model emphasizes the critical interplay between sustainability performance and implementation costs, achieving a sustainability performance score of 0.4511 while effectively implementing 12 out of 16 strategies within the expected budget. The optimal solution incorporates green strategies, technology integration, and aspects of Industry 5.0, demonstrating a holistic approach to sustainable supply chain management. The findings are crucial for Bangladeshi RMG industries aiming for global market competitiveness and contribute significantly to the academic field by introducing a robust, data-driven decisions for sustainable supply chain optimization. The implications extend beyond the RMG sector, offering a replicable model for other industries and regions facing similar sustainability challenges
Analysis of internal factors of green supply chain management: An interpretive structural modeling approach
Full text linkThe industrial revolution in the world brings environmental concern in industrial and production sector which puts more focuses on the green or sustainable supply chain practice. Green supply chain management is focused on ensuring sustainable production and customer order fulfillment through a series of activities. In this study internal factors of green supply chain management practice are analyzed, and theoretical model is developed according to the driving power and dependence power of the factor. This study is performed in interpretive structural modelling (ISM) approach where industry experts were consulted to include their industry experience in the evaluation process. The study has identified eight factors which can be controlled internally within the organization. Among these eight factors, commitment from the top management is the most crucial factor for its’ highest driving power. The reverse logistic process stands on the next, and material storing and management on the upper level
A comprehensive review on operating room scheduling and optimization
Full text linkThe growing number of publications on Operating Room Scheduling (ORS) in recent years reflects the rapid advancements in the field. This review aims to comprehensively analyze the historical developments and evolving trends in operating room scheduling by systematically examining the literature from 2000 to 2023. A multi-database search, including Scopus, Web of Science, PubMed, ProQuest and IEEE Xplore was employed to ensure the inclusion of key studies. This paper presents a review of the factors, descriptive fields, and key issues in operating room scheduling. It also focuses on optimization techniques and solution approaches for both deterministic and uncertain conditions. Special attention is given to real-world constraints, such as resource limitations, staff availability and patient variability which significantly impact scheduling. The review identifies that ORS research covers a broad spectrum of problems and solutions, with no singular research trend dominating the field. This indicates that researchers are tackling diverse challenges across various contexts. The final section outlines the significant pitfalls and proposes future research directions, including the integration of emerging technologies and sustainability considerations. This review is a valuable resource for researchers, practitioners, and academicians in healthcare operations and hospital management, offering insights into current practices and future opportunities for innovation in ORS
Blockchain Technology and Industry 5.0 synergy for sustainable development in RMG industries: an ISM and fuzzy DEMATEL approach
No full textAbstract This research explores the contribution of Blockchain Technology and Industry 5.0 in driving sustainability within Bangladeshi Ready-Made Garments (RMG) industry, with a focus on alignment with key Sustainable Development Goals (SDGs). The study employs Interpretive Structural Modeling (ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) methods to identify and analyze 14 critical synergies that can drive sustainability. The ISM analysis categorizes the synergies into independent, dependent, and linkage variables, providing insights into their roles and significance within the system. Fuzzy DEMATEL further refines this understanding by evaluating the direct and indirect relationships among the linkage synergies. Key findings reveal the importance of synergies such as reverse logistics and recycling, supply chain collaboration & visibility and ethical practices in driving sustainability. This research contributes by offering a detailed analysis of how the synergy between Blockchain technology and Industry 5.0 can enhance sustainability practices in the RMG industry, providing actionable insights into the technological transformation of supply chain dynamics in support of global sustainability targets
A mixed-method approach to develop an eco-robust supply chain management framework for Bangladeshi RMG industries
Full text linkThe Bangladeshi Readymade Garment (RMG) industry plays a pivotal role in the national economy, yet it faces significant sustainability challenges due to high resource consumption, environmental impact, and vulnerability to supply chain disruptions. This study adopts a mixed-method approach with a QFD-based Optimization Model to develop an Eco-Robust Supply Chain Management (ERSCM) framework. By integrating sustainability and resilience into a unified model, the research provides a strategic approach to enhancing environmental performance while improving resilience against supply chain disruptions. The methodology employs a mixed-method approach: expert insights were collected and prioritized using the Analytical Hierarchy Process to rank ERSCM strategies, which were then mapped to sustainability and resilience goals through Quality Function Deployment. This relationship analysis was followed by a Mixed-Integer Linear Programming optimization to select cost-effective strategies that maximize eco-robust performance under budget constraints. The results reveal that Technology Integration, Continuous Improvement and Innovation, Supply Chain Transparency, and Stakeholder Collaboration are among the most impactful ERSCM strategies, demonstrating strong alignment with Sustainable Development Goals. The findings underscore that, even within budgetary limits, high-impact, cost-efficient strategies can be implemented to advance both sustainability and resilience. This research contributes to Sustainable Supply Chain Management literature by developing a novel QFD-based optimization model that systematically integrates sustainability and resilience. Methodologically, it combines AHP for strategic prioritization, QFD for mapping interdependencies, and MILP for cost-effective decision-making. This research also offers actionable insights for RMG industry managers aiming to transition toward eco-robust practices that support sustainable and resilient development
Exploring the barriers to hydrogen fuel cell vehicles adoption in the Gulf-Europe corridor: a Fuzzy AHP and ISM analysis
Full text linkThe adoption of hydrogen fuel cell vehicles (HFCVs) is essential for achieving sustainable, low-carbon transportation, but many barriers hinder this transition. Therefore, this study aims to identify, categorize, and prioritize these barriers in the context of the Gulf-Europe corridor, also known as the Iraq Development Road Project (DRP). To achieve this, we adopt a two-stage methodological framework that integrates the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) to quantify the relative importance of thirty secondary barriers, and Interpretive Structural Modeling (ISM) to explore the interdependencies among the top ten. The Fuzzy AHP results highlight technological, economic, and infrastructure-related barriers as the most critical primary barriers. The ISM analysis further reveals that three barriers, lack of hydrogen production hubs, limited hydrogen transport options, and hydrogen storage and transportation, are independent. Six barriers, fuel cell efficiency and durability, hydrogen production and distribution costs, vehicle range and refueling time, infrastructure investment, refueling station compatibility issues, and hydrogen purity requirements, are classified as linkage barriers. One barrier, high initial vehicle cost, is found to be dependent. To accelerate HFCVs adoption, we recommend strengthening hydrogen infrastructure, fostering technological innovation, reducing costs through targeted incentives, and enhancing policy coordination among stakeholders and policymakers. This study contributes to literature by offering a comprehensive understanding of the adoption barriers and providing actionable insights to support the development of more effective strategies. Notably, it uniquely addresses social, logistical, and technological barriers, alongside geographic barriers, that have been largely overlooked in previous studies
Enhancing resilience in transnational E-commerce supply chains: Critical factors, perspectives and strategic action plan
Full text linkThis study develops a hybrid model to investigate the factors affecting transnational e-commerce supply chain resilience (TNSCRE) by integrating the Entropy Weight Method (EWM), Simple Additive Weighting (SAW), and Interpretive Structural Modeling (ISM). The study identifies 36 critical factors categorized under supply chain adaptability, supply chain efficiency, and supply chain evolution, and five criteria are used to rank these factors. The EWM is used to calculate the relative weights of the criteria, and the SAW method is used to rank the factors based on their weighted scores. The ISM is then used to evaluate the interrelationships among the key factors. The research highlights the significance of several factors, such as the speed of supply chain disruption recovery, interactive collaboration, and response time to supply chain disruption. Sensitivity analysis was performed to assess the robustness of the findings. Finally, a SWOT analysis is conducted to develop a strategic action plan for addressing these significant factors. The study provides a comprehensive understanding of the factors that impact TNSCRE from the perspective of multiple stakeholders. The findings can help e-commerce business owners improve their existing supply chain resilience and achieve sustainable growth in the context of globalization
Identification and Prioritization of Lean Supply Chain Management Factors Using Analytical Hierarchy Process
No full textThe main objective of this research is to identify and prioritize the influential factors of Lean Supply Chain Management (LSCM). This research uses a thorough literature review and interviewing of the relevant and significant experts involved in lean implementation. The Analytic Hierarchy Process technique is used to address issues and conduct a paired comparison of these factors to determine their impact on LSCM. Fifteen experts performed the pairwise comparison to determine the most influential criteria and alternatives of LSCM. Top management appeared as the most important criterion based on the derived weights, followed by technology, system, and human resource management. Among other choices, these criteria also precede lean supply chain characteristics. Decision-makers can effectively allocate resources and implement initiatives to improve LSCM practices by recognizing the relative relevance of criteria. This research offers a significant contribution to advancing the sustainable supply chain by prioritizing factors related to LSCM and implementing appropriate measures based on those priorities
Exploring Blockchain Implementation Challenges for Sustainable Supply Chains: An Integrated Fuzzy TOPSIS–ISM Approach
Full text linkThis study investigates the challenges in implementing blockchain technology (BT) in sustainable supply chain management (SSC). The study thoroughly analyzes the literature and expert opinions on BT, SCM, and sustainability. A total of 24 barriers are identified, categorized into the Internet of Things, strategic, supply chain, legislation, and external factors. The findings are evaluated using the Integrated Fuzzy TOPSIS–ISM tool. The results indicate that barriers related to the supply chain have the most significant impact on the adoption of BT in SSC. The study also reveals the interrelation among sub-barriers within the supply chain, providing valuable insights to improve adoption. Finally, a strategic action plan based on a fishbone diagram is provided to reduce the effects of supply chain barriers. This study provides a theoretical foundation for using BT to achieve long-term supply chain goals
- …
