Article
Engineering, Industrial
Xiaofeng Xu, Ziru Lin, Xiang Li, Changjing Shang, Qiang Shen
Summary: This study addresses the refined oil distribution problem with shortages using a multi-objective optimization approach, including a robust optimization model (ROM) to manage uncertainty in demand and a multi-objective particle swarm optimization (MOPSO) algorithm. Results show that these models and algorithms effectively improve station satisfaction, reduce operation costs and overtime penalties, providing possibilities for the efficient distribution of scarce resources.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Xiaoping Xu, Yujing Chen, Ping He, Yugang Yu, Gongbing Bi
Summary: This paper investigates the cooperating mode selection problem of a manufacturer selling products through offline and online channels. The study finds that demand disruptions and cross-channel effects significantly influence the manufacturer's optimal operational decisions and platform mode selection. The presence of demand disruptions complicates the manufacturer's mode selection, and higher cross-channel effects can lead to increased production. Furthermore, demand disruptions have a significant impact on the profits of both the manufacturer and the platform.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
ManMohan S. Sodhi, Christopher S. Tang, Evan T. Willenson
Summary: The COVID-19 pandemic has put the supply chains for medically critical items and common household goods to the test, particularly in terms of severe shortages of personal protective equipment (PPE) and ventilators in the United States. These shortages have revealed vulnerabilities in the supply chains of essential products during times of crisis, leading to public pressure on corporations to reconsider their supply chains. Drawing from lessons learned during the pandemic, this paper proposes a research agenda and opportunities to develop responsive supply chains to combat future pandemics and major public health emergencies.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Business
Yuan Sun, Zhebin Ding, Zuopeng Zhang
Summary: In recent years, China has made great progress in the adoption and use of emerging information technologies. The popularity of enterprise social media (ESM) in Chinese enterprises and the resulting innovation practices provide an opportunity to explore relevant theories and assumptions. This article applies the organizational information processing theory (OIPT) to study the innovative use cases of ESM in China and identify contributing factors through a multicase-analysis approach. The research contributes to the literature by studying the innovative use cases in the ESM context and provides valuable insights for practitioners in designing and implementing ESM effectively.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Engineering, Industrial
Xue-Yan Wu, Zhi-Ping Fan, Bing-Bing Cao
Summary: This paper investigates the strategies for adopting blockchain technology in the fresh product supply chain and finds that it is not always the optimal decision. Regardless of the power and status of each member in the supply chain, they can lead the construction of the blockchain system. From the perspective of whole supply chain's profit maximisation, the leader of the supply chain should lead the construction of the blockchain system.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Engineering, Industrial
Yang Hu, Xuewen Miao, Yong Si, Ershun Pan, Enrico Zio
Summary: This paper reviews the state-of-the-art of PHM from the perspectives of Design, Development, and Decision (DE3), extracting research conclusions from 235 related publications and identifying gaps and challenges in existing PHM concerning DE3. It aims to provide clear directions for advancing PHM methodologies and maturing them into practical technologies.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Alexandre Dolgui, Dmitry Ivanov
Summary: The paper discusses the potential impact of 5G on digital supply chain and smart operations management, offering directions for future research. It highlights how 5G can enhance intelligence, visibility, transparency, dynamic networking, and connectivity in supply chain and operations, while also discussing cost-benefit trade-offs.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Chunling Luo, Lijuan Shen, Ancha Xu
Summary: A statistical model is proposed to evaluate system reliability by considering correlated component lifetimes and lifetime ordering constraints. The effects of dynamic environments are incorporated using an exponential dispersion process, and lifetime ordering constraints are modeled by truncating the joint lifetime distribution support. Statistical inference is discussed based on the proposed model, with point estimates obtained using maximum likelihood and confidence intervals constructed using generalized pivots. Extensive simulations demonstrate accurate coverage of the proposed interval estimation procedures even under small sample sizes. Two real examples are used to illustrate the proposed modeling and estimation framework.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Computer Science, Interdisciplinary Applications
Yumei Xing, Mingshuo Cao, Yujia Liu, Mi Zhou, Jian Wu
Summary: This article presents a new Choquet Integral based interval type-2 (IT2TrFS) trapezoidal fuzzy multiple attribute group decision making method for Sustainable Supplier Selection. It addresses the interaction between criteria, obtains a consensus evaluation matrix, calculates criteria weight and expert weight through several steps to obtain the final group evaluation matrix.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Review
Engineering, Industrial
Nam Vu, Abhijeet Ghadge, Michael Bourlakis
Summary: This study conducts a systematic literature review of 69 high-quality articles to explore the drivers, barriers, applications, and implementation stages of Blockchain in food supply chains. The study identifies current issues and proposes a three-stage implementation framework, aiming to assist food chain managers in determining the suitability of Blockchain and providing guidance for adoption in the industry.
PRODUCTION PLANNING & CONTROL
(2023)
Review
Engineering, Industrial
Fei Tao, Bin Xiao, Qinglin Qi, Jiangfeng Cheng, Ping Ji
Summary: This paper provides a systematic research on the current studies of digital twin modeling and conducts a comprehensive and insightful analysis of digital twin models. It also investigates and summarizes the enabling technologies and tools for digital twin modeling and presents observations and future research recommendations.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Engineering, Industrial
Sihan Huang, Baicun Wang, Xingyu Li, Pai Zheng, Dimitris Mourtzis, Lihui Wang
Summary: This article discusses the recent attention given to Industry 5.0 and Society 5.0, which are futuristic concepts focusing on sustainable and human-centric industries and resolving social problems. The coexistence of these two concepts raises questions that need to be answered for their development.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Behavioral Sciences
Erin K. Chiou, John D. Lee
Summary: This paper reviews recent articles related to human trust in automation and proposes a relational framework to guide future research and design for automation responsivity and more resilient human-automation systems.
Article
Engineering, Industrial
Rossella Pozzi, Tommaso Rossi, Raffaele Secchi
Summary: This research uses case studies of eight implementations of Industry 4.0 technologies in Italy to supplement existent literature, and identifies continuous improvement/lean management, quality and flexibility-based competition, top management leadership, establishment of inter-functional teams, conducting of preparatory activities, project planning and training activities as critical success factors for Industry 4.0 implementations.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Automation & Control Systems
Chunhua Hu, Weicun Fan, Elan Zeng, Zhi Hang, Fan Wang, Lianyong Qi, Md Zakirul Alam Bhuiyan
Summary: This article proposes a digital twin-assisted real-time traffic data prediction method, which analyzes the traffic flow and velocity data monitored by IoV sensors and transmitted through 5G to optimize traffic scheduling and alleviate traffic jams.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Automation & Control Systems
Mamoun Alazab, Swarna R. M. Priya, M. Parimala, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Quoc-Viet Pham
Summary: This article presents the application of federated learning in enhancing cybersecurity and preventing cyberattacks in real-time scenarios. The authors conducted a comprehensive survey on various federated learning models developed by researchers for authentication, privacy, trust management, and attack detection. Real-time use cases and the adoption of federated learning for data privacy and system performance improvement are also discussed. The article concludes with prominent challenges and future directions for researchers to focus on.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Automation & Control Systems
Xing Chen, Ming Li, Hao Zhong, Yun Ma, Ching-Hsien Hsu
Summary: This article introduces a solution for running DNN-based applications on intelligent devices with limited resources, employing computation offloading technology to transfer some computation-intensive tasks to the cloud or edges. By rewriting the source code and dynamically determining the offloading scheme, this solution demonstrates significant performance advantages on a real-world intelligent application.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Review
Business
Leili Soltanisehat, Reza Alizadeh, Haijing Hao, Kim-Kwang Raymond Choo
Summary: Blockchain has the potential to transform healthcare systems as a secure and smart transaction system. This article conducts a systematic review of 64 articles on blockchain-based healthcare systems to answer key questions about its applications, technical aspects, and future research directions. The findings reveal that most proposed systems use private blockchain and Ethereum platforms, and the majority of authors are affiliated with research institutions in the USA and China. The article also discusses potential future directions such as integrating blockchain with AI and cloud computing.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Engineering, Industrial
Maurizio Massaro
Summary: Healthcare research is a multidisciplinary field that examines the entire stakeholder ecosystem. Digital transformation has the potential to address issues in medical practice by introducing new value creation trends. Blockchain technology can expedite this transformation by addressing data management issues, and this study aims to compare expectations for blockchain implementation in healthcare from both research papers and patents to bridge the research-practice gap.
Article
Engineering, Industrial
Te Han, Yan-Fu Li
Summary: This article presents a novel OOD detection-assisted trustworthy machinery fault diagnosis approach, which integrates multiple deep neural networks and utilizes uncertainty analysis to enhance the reliability and safety of intelligent models, showing significant advantages in identifying OOD samples.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
