Article
Green & Sustainable Science & Technology
Qin Yang, Xin Meng, Huan Zhao, Cejun Cao, Yang Liu, Donald Huisingh
Summary: This paper focused on the vehicle scheduling of painting process in automobile maintenance service, aiming to minimize makespan, total pollutant emissions, and total customers' perceived dissatisfaction using a genetic algorithm. Computational results showed that optimizing task sequences could increase customers' satisfaction, reduce paint waste, and lower worker safety risks. The method of combining tiered pricing with automobile painting efficiency was found to improve customers' perceived satisfaction and increase on-time customer service reservations.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Management
Simonov Kusi-Sarpong, Ifeyinwa Juliet Orji, Himanshu Gupta, Martin Kunc
Summary: This study proposes a framework for risks encountered during the implementation of big data analytics in sustainable supply chains, with technological risks identified as the major concern. Using the Indian automobile manufacturing industry as a case study, results highlight technological and human/organizational risks as the main obstacles to big data analytics implementation.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Engineering, Manufacturing
Feryal Erhun, Tim Kraft, Sytske Wijnsma
Summary: Professor Hau Lee argues that the best supply chains should be fast, cost-effective, agile, adaptable, and aligned. The increasing complexity of global supply chains has made management more complicated, while growing connectivity and interdependence have given rise to various environmental and social issues.
PRODUCTION AND OPERATIONS MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Alessia Napoleone, Alessandro Bruzzone, Ann-Louise Andersen, Thomas Ditlev Brunoe
Summary: This paper introduces a method to support the identification of reusable and reconfigurable machine candidates at the early stage of strategic network design. The method compares machines based on their reusability and geographical locations. The application of the method and an example of producing emergency devices during the COVID-19 pandemic are reported. The study identifies strategic parameters related to machines as enablers of supply chain reconfigurability.
Article
Engineering, Industrial
Fereshteh Mafakheri, Dotun Adebanjo, Audley Genus
Summary: The absence of economies of scale is a major barrier in using renewable energy sources in small and dispersed off-grid remote communities. Coordinating biomass supply chains can improve cost efficiency and reliability of bioenergy generation in these communities.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Review
Environmental Sciences
Hamid Zarei, Morteza Rasti-Barzoki, Joern Altmann, Bernhard Egger
Summary: Today's global supply chains need a paradigm shift towards sustainability, requiring partnership relationships among supply chain members. However, existing literature lacks a comprehensive understanding of these partnerships. This research conducts a structured review methodology to gather information on supply chain partnerships for sustainable sourcing. The study finds that cooperative partnerships are ineffective for promoting sustainable sourcing, while coordinative partnerships are effective for tactical and operational initiatives. Collaborative partnerships should be initiated at the strategic level for proactive solutions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Satbir Singh, R. P. Mohanty, Sachin Kumar Mangla, Vivek Agrawal
Summary: This study explores the critical success factors for the adoption of Additive Manufacturing (AM) in mainstream manufacturing, including factors such as customized production, sustainable production, and digital skills. The study finds that customized production is the most influential factor, and sustainable production is the main effect factor. The adoption of AM can enhance the competitiveness and sustainability of manufacturing supply chains.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Yeu-Shiang Huang, Jyh-Wen Ho, Hong-Jin Jian, Tzu-Liang (Bill) Tseng
Summary: This study focuses on developing an optimal long-term ordering policy in a two-echelon supply chain using a quantity discount-coordination mechanism. Coordinating quantity discounts can reduce demand uncertainty, decrease retailer orders, and effectively increase the supply chain's overall benefits.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Tarun Roy, Jose Arturo Garza-Reyes, Vikas Kumar, Anil Kumar, Rohit Agrawal
Summary: Transitioning to a Circular Economy (CE) is considered the most promising way to achieve economic and environmental sustainability. However, companies and governments face challenges in re-designing existing linear supply chains (SCs) into circular supply chains (CSCs). This study identifies key barriers and develops a classification to facilitate their mitigation in the global manufacturing sector. The findings indicate significant restraints towards CSCs implementation due to lack of incentives, policies, and product complexity.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Green & Sustainable Science & Technology
Thanh Tiep Le, Xuan Hung Kieu, Abhishek Behl, Vijay Pereira
Summary: This study examines the mechanism for businesses in the food value chain to overcome post-pandemic challenges and promote sustainability. By analyzing the relationships between driving factors and sustainable supply chain management, the study identifies the mechanisms for enhancing the sustainability of the food value chain. By exploring how socially, environmentally, and economically responsible practices affect supply chain management, this study contributes to the knowledge of supply chain management and broadens the concept of corporate social responsibility.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Franklin Enrique Reyes-Soriano, Juan Carlos Muyulema-Allaica, Christina Michelle Menendez-Zaruma, Jorge Manuel Lucin-Borbor, Isabel Del Rocio Balon-Ramos, Gerardo Antonio Herrera-Brunett
Summary: This article aims to identify the major countries and organizations worldwide that have contributed to the research on sustainable supply chains (SSCs). Through bibliometric scanning and network visualization, the study reveals that China, the United Kingdom, the United States, Italy, and the Netherlands have made the greatest scientific contributions in the field of SSCs in the last three years, and the organizations with the highest interaction belong to the European Union.
Article
Green & Sustainable Science & Technology
Arpita Chari, Johan Stahre, Maja Ba, Melanie Despeisse, Dan Li, Martin Friis, Magnus Morstam, Bjorn Johansson
Summary: This study examines the challenges, requirements, and opportunities associated with leveraging digital platforms for resilient supply chains in the manufacturing industry through qualitative empirical research. It also demonstrates the use of structured modelling technique to identify interconnected antecedents that support the use of digital platforms in building resilience within manufacturing supply chains.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
N. J. Chrisandina, S. Vedant, E. Iakovou, E. N. Pistikopoulos, M. M. El-Halwagi
Summary: This article discusses the challenges faced by energy supply chain resilience and the necessity of adopting a multi-scale approach. The authors propose a framework for energy supply chain resilience and list four scales of operation.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Business
Sharfuddin Ahmed Khan, Muhammad Shujaat Mubarik, Simonov Kusi-Sarpong, Himanshu Gupta, Syed Imran Zaman, Mobashar Mubarik
Summary: The emergence of blockchain technologies is transforming the management of traditional supply chains by enhancing traceability, accountability, and sustainability. However, the direct impact of blockchain technologies on supply chain sustainability is not significant, with the improvement in sustainability being largely attributed to supply chain integration and mapping facilitated by blockchain.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Operations Research & Management Science
Zhong-Zhong Jiang, Na He, Xuwei Qin, Minghe Sun, Pengfei Wang
Summary: This study investigates a service-oriented manufacturing supply chain, where decisions about equipment quality and maintenance service are made by the manufacturer and the operator. The results show that decentralized decisions cannot achieve supply chain coordination, and therefore, cost-sharing and performance-based strategies are introduced to coordinate the supply chain. Furthermore, the learning behavior of the manufacturer also impacts the profit and coordination strategy preferences in the supply chain.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Engineering, Industrial
Junkai Wang, Fei Qiao, Fu Zhao, John W. Sutherland
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2016)
Article
Engineering, Manufacturing
Junkai Wang, Fei Qiao, Fu Zhao, John W. Sutherland
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2016)
Article
Automation & Control Systems
Lianlian Zhang, Fei Qiao, Junkai Wang, Xiaodong Zhai
Summary: The proposed framework in this paper uses health degree (HD) to quantitatively describe the health status of equipment. The method first removes redundant features using principal component analysis (PCA), then extracts normal observations using a support vector data description (SVDD) algorithm. Finally, an improved incremental SVDD algorithm (NISVDD) is introduced for online updating of the normal sample set to improve accuracy and computational efficiency.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Robotics
Peng Zhang, Fei Qiao, Junkai Wang, John W. Sutherland
Summary: This study proposes a multi-criteria evaluation method based on FANP-CVIKOR for evaluating sustainability. It constructs a four-layer indicator system and uses a fuzzy-improved ANP method to determine weight, and then utilizes a CPT-enhanced VIKOR method to rank candidate scheduling schemes. A case study in a flexible job shop validates the correctness and effectiveness of the proposed methodology.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Proceedings Paper
Computer Science, Cybernetics
Hangming Du, Fei Qiao, Junkai Wang, Hong Lu
Summary: This paper presents a mixed integer programming model and two new paradigms of a hybrid metaheuristic algorithm combining genetic algorithm with novel heuristic decoding methods for the dual resource constrained flexible flow shop scheduling problem. A new methodology for adaptable assignment heuristic algorithm is designed to allocate human resources during the manufacturing process to meet the fatigue constraint. Experimental results demonstrate that the scheduling strategy based on the hybrid metaheuristic algorithm can meet the human fatigue constraint while ensuring economic benefits.
2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
(2021)
Proceedings Paper
Computer Science, Cybernetics
Dongyuan Wang, Fei Qiao, Junkai Wang, Juan Liu, Weichang Kong
2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
(2020)
Proceedings Paper
Computer Science, Cybernetics
Junkai Wang, Yumin Ma, Fei Qiao, Xiaodong Zhai, Juan Liu
2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)
(2019)
Proceedings Paper
Automation & Control Systems
Lianlian Zhang, Fei Qiao, Junkai Wang
2018 IEEE 14TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)
(2018)