Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy

International Journal of Production Economics, Journal Year: 2023, Volume and Issue: 258, P. 108806 - 108806

Published: Feb. 11, 2023

Language: Английский

---

Supply chain risk management: A content analysis-based review of existing and emerging topics

Supply Chain Analytics, Journal Year: 2023, Volume and Issue: 3, P. 100031 - 100031

Published: Aug. 10, 2023

This paper presents a systematic review of the literature on Supply Chain Risk (SCR) research, focusing content-based analysis. The study comprehensively examines general factors associated with key themes and trends in supply chain risk management, encompassing identification assessment risks, mitigation strategies, influence emerging technologies Management (SCRM). provides an overview current topics SCRM, while also introducing categorization frameworks to address research gaps provide roadmap for future studies, thereby generating valuable insights this field. highlights significance effective SCRM ensuring business continuity resilience, emphasizing need organizations adopt proactive approach management. concludes by identifying areas including development novel management integration into practices. Additionally, comprehensive evaluation each classification is presented, highlighting overlooked aspects unexplored domains, offering recommendations potential next steps research.

Language: Английский

---

Analysis of the drivers of Agriculture 4.0 implementation in the emerging economies: Implications towards sustainability and food security

Green Technologies and Sustainability, Journal Year: 2023, Volume and Issue: 1(2), P. 100021 - 100021

Published: March 8, 2023

Global food insecurity has become a significant concern, especially for emerging economies. The crisis been exacerbated recently due to the intense supply chain disruption resulting from COVID-19 pandemic and ongoing Russia–Ukraine war. Agriculture 4.0, which combines conventional agriculture with various modern cutting-edge technologies, might help in this regard improve security. In such context, it is essential accurately identify pertinent drivers of 4.0 implementation ensure sustainability security This study, therefore, aims classify, assess, analyze hierarchical relationships among context an economy like Bangladesh, combining Pareto analysis, fuzzy theory, total interpretative structural modeling (TISM), Matriced' Impacts Cruoses Multiplication Applique un Classement (MICMAC) analysis. Based on literature review expert feedback, eighteen factors were identified initially. After employing top thirteen have further analyzed using TISM MICMAC examine their interrelationships. study findings indicate that "Automation & Robotics lessen usage manual labor", "Augmented reality (AR) training new farmers guiding tool evaluation," "Providing adequate financial incentives impoverished building storage facilities" are three most influential implement 4.0. expected contribute significantly future innovation development sector, eliminate hunger regional It potential assist practitioners industry leaders economies strategic decision-making achieving agricultural sector thus achieve relevant SDGs.

Language: Английский

---

Modelling the barriers to sustainable waste management in the plastic-manufacturing industry: An emerging economy perspective

Sustainability Analytics and Modeling, Journal Year: 2023, Volume and Issue: 3, P. 100017 - 100017

Published: Jan. 1, 2023

Language: Английский

---

Analyzing the critical success factors to implement green supply chain management in the apparel manufacturing industry: Implications for sustainable development goals in the emerging economies

Sustainable Manufacturing and Service Economics, Journal Year: 2023, Volume and Issue: 2, P. 100013 - 100013

Published: April 1, 2023

Green supply chain management (GSCM) is an emerging concept of modern (SCM) that integrates eco-friendly and ethical environmental concerns with the traditional by reducing negative impacts unsustainable manufacturing practices. Developed countries have already adopted different sustainable SCM However, despite being one significant sources export earnings in economies like Bangladesh, apparel industry still lagging case GSCM implementation. This study, thereby, utilized integrated multi-criteria decision-making (MCDM) approach, including gray theory trial evaluation laboratory (DEMATEL) method to identify, prioritize, examine relations among critical success factors (CSFs) implement practices Bangladeshi industry. The study initially identified CSFs from literature review. After expert validation, sixteen were finally analyzed gray-DEMATEL method. findings revealed 'demand buyers', 'economic tax benefits', 'government rules regulations' are three most prominent cause-effect later explored, which indicated 'Economic benefits' be influencing 'Supplier training cooperation' influenced CSF. insights can potentially guide managers successfully implementing toward achieving long-term sustainability development goals (SDGs).

Language: Английский

---

Assessing Supply Chain Innovations for Building Resilient Food Supply Chains: An Emerging Economy Perspective

Sustainability, Journal Year: 2023, Volume and Issue: 15(6), P. 4924 - 4924

Published: March 9, 2023

Food waste reduction and security are the main concerns of agri-food supply chains, as more than thirty-three percent global food production is wasted or lost due to mismanagement. The ongoing challenges, including resource scarcity, climate change, generation, etc., need immediate actions from stakeholders develop resilient chains. Previous studies explored chains their barriers, enablers, etc. Still, there needs be literature on innovations in that can build last long compete post-pandemic scenario. Thus, also required explore chain for sector. current research employed a stepwise weight assessment ratio analysis (SWARA) assess This study pioneer using SWARA application evaluate innovation identify most preferred alternatives. results show ‘Business strategy innovations’ significant bring resiliency followed by ‘Technological innovations.’ provides insights decision makers understand attain resilience help industry survive sustain run.

Language: Английский

---

EVALUATING THE INTEGRATION OF ADVANCED IT SOLUTIONS FOR EMISSION REDUCTION IN THE OIL AND GAS SECTOR

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(3), P. 639 - 652

Published: March 10, 2024

The oil and gas sector is a significant contributor to greenhouse emissions, making the integration of advanced IT solutions imperative for emission reduction. This study evaluates effectiveness integrating in mitigating emissions within industry. research employs mixed-methods approach, combining qualitative analysis through literature review quantitative via case studies data analysis. identifies various currently available, such as Internet Things (IoT), Artificial Intelligence (AI), Big Data analytics, their potential applications reduction sector. Case are conducted examine real-world implementations these by leading companies These provide insights into challenges, benefits, best practices associated with Furthermore, assess environmental impact based on metrics, carbon dioxide equivalent (CO2e) energy efficiency improvements. findings indicate that holds promise IoT-enabled sensors enable real-time monitoring optimization operations, reducing from production processes. AI algorithms enhance predictive maintenance, optimizing equipment performance minimizing fugitive sources. analytics facilitate comprehensive tracking reporting, enabling proactive management strategies. Overall, this contributes deeper understanding provides valuable industry practitioners, policymakers, researchers alike. Keywords: IT, Emission, Reduction, Oil Gas, Review.

Language: Английский

---

Supplier Selection in the Age of Industry 4.0: A Review on MCDM Applications and Trends

Decision Making Advances, Journal Year: 2024, Volume and Issue: 2(1), P. 32 - 47

Published: Jan. 5, 2024

The advent of Industry 4.0 has triggered a profound transformation in manufacturing and supply chain management, necessitating the adaptation supplier selection processes to this evolving technological landscape. This comprehensive review paper places significant focus on role multi-criteria decision-making (MCDM) methodologies emerging trends context within 4.0. It underscores critical importance effective achieving operational excellence bolstering resilience new era, exploring challenges opportunities presented by advances such as Internet Things, big data analytics, artificial intelligence, advanced techniques. looks into theoretical underpinnings MCDM techniques, highlighting their suitability for addressing complex, multi-dimensional criteria associated with selection. As valuable resource, study caters researchers, practitioners, decision-makers navigating intricate landscape dynamic area 4.0, emphasizing pivotal ever-evolving dynamics shaping digital age.

Language: Английский

---

An integrated Best–Worst Method and Interpretive Structural Modeling approach for assessing the barriers to circular economy implementation

Decision Analytics Journal, Journal Year: 2023, Volume and Issue: 7, P. 100250 - 100250

Published: May 10, 2023

The Circular Economy (CE) concept has emerged as a promising alternative for addressing the serious challenges faced by industries with high involvement in environmental pollution and waste generation. CE can contribute to minimizing generation ecological degradation ensuring protection while maximizing utilization of available resources. Although research analyzed from different perspectives, insufficient emphasis extant empirical literature is given Electronics Manufacturing (EM) emerging economies. overall electronic e-waste grown exponentially, mainly due massive increase sale use modern gadgets. This study aims identify prioritize barriers implementing EM industry analyze their interrelationships. process begins identifying 15 significant review. An integrated Best–Worst Method (BWM) Interpretive Structural Modeling (ISM) Matrice d'Impacts Croisés Multiplication Aappliquée à un Cclassement (MICMAC) framework were then utilized based on significance level. Lastly, we systemic interrelationships among these barriers. We show that three topmost behind adoption are need initial investment financial backing, lack proper legislative support, support top management. contributes current body knowledge, guiding managers policymakers economies take actions improving sustainability achieving Sustainable Development Goals (SDGs) through sustainable responsible resource utilization.

Language: Английский

---

Exploration of the drivers influencing the growth of hybrid electric vehicle adoption in the emerging economies: Implications towards sustainability and low-carbon economy

Sustainable Operations and Computers, Journal Year: 2023, Volume and Issue: 4, P. 76 - 87

Published: Jan. 1, 2023

The heavy reliance of the transportation and power generation sector on fossil fuels is seriously impacting environment. Transitioning towards more sustainable modes necessary to reduce this dependency fuels. Even though shifting toward electric vehicles (EVs) can harmful emissions, due lack adequate charging infrastructures, underdeveloped transmission systems, increased cost generation, it difficult for a developing country adopt rely heavily EVs. However, countries like Bangladesh different strategy address issue. Harmful emission reduction also possible by transitioning from conventional internal combustion engine (ICE) hybrid (HEVs). drivers that promote expansion HEV adoption have not been extensively studied date, which inspired proposed study. This study explores growth in emerging economies. First, identifies seventeen literature review expert feedback. Then identified were assessed using Bayesian Best-Worst method (BWM). findings indicate no requirement station, incentivizing consumers through policy measures, enhanced fuel efficiency are top three influencing or help decision-makers end users counties gradually shift low-carbon emission-based economy ensure greener future.

Language: Английский

---