Article
Computer Science, Artificial Intelligence
Laith Abualigah, Mohamed Abd Elaziz, Putra Sumari, Zong Woo Geem, Amir H. Gandomi
Summary: The paper introduces a novel nature-inspired meta-heuristic optimizer, RSA, based on the hunting behavior of crocodiles. Through implementing two main steps of crocodile behavior, RSA shows unique search methods compared to existing algorithms, and achieves better results in various test functions and engineering problems.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Industrial
Xinlai Liu, Yishuo Jiang, Zicheng Wang, Ray Y. Zhong, H. H. Cheung, George Q. Huang
Summary: This paper proposes a unified five-layer blockchain-enabled secure digital twin platform architecture for small and middle enterprises (SMEs) in the manufacturing industry to overcome the limitations of traditional manufacturing patterns. The experimental results show that the proposed platform, named imseStudio, effectively digitizes manufacturing resources and promotes the transformation towards service manufacturing.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Iman Ahmadianfar, Ali Asghar Heidari, Saeed Noshadian, Huiling Chen, Amir H. Gandomi
Summary: This study presents the analysis and principle of an innovative optimizer called INFO, which utilizes the weighted mean method to optimize different problems. The results show that INFO outperforms other methods in terms of exploration and exploitation, and is capable of converging to satisfactory solutions in engineering problems.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Operations Research & Management Science
Giuseppe Fragapane, Dmitry Ivanov, Mirco Peron, Fabio Sgarbossa, Jan Ola Strandhagen
Summary: This study develops and tests an analytical model for throughput analysis of autonomous mobile robots (AMR)-based flexible production networks, revealing the conditions under which they are more advantageous compared to traditional production lines. Through circular loop and sensitivity analysis, key factors in improving flexibility and productivity are identified.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Engineering, Industrial
Ehsan Elahi, Zainab Khalid, Muhammad Zubair Tauni, Hongxia Zhang, Xing Lirong
Summary: Evaluation of climate-induced crop damages is important for developing innovative technologies and management strategies to reduce vulnerability in agriculture. This study analyzed survey data from 1232 wheat growers in Pakistan to estimate the production risk of weather shocks on wheat farms and the effectiveness of different management strategies. The results showed that extreme weather events had significant adverse effects on wheat crop damages, especially when occurring close to harvest time. The adoption of adaptive measures significantly reduced wheat losses, and factors such as education, farming experience, family size, cropping area, and access to weather forecast information also influenced the adoption of innovative management strategies.
Article
Engineering, Industrial
Yasanur Kayikci, Nachiappan Subramanian, Manoj Dora, Manjot Singh Bhatia
Summary: This paper presents a blockchain-enabled food supply chain framework developed through a systematic literature review and semi-structured case interviews in the context of emerging economies. It investigates the suitability of blockchain technology in resolving major challenges, such as traceability, trust, and accountability in the food industry. The study provides empirical evidence of blockchain technology implementation in the Industry 4.0 era and offers insights for future researchers to address technological and people-related challenges.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Engineering, Manufacturing
Tsan-Ming Choi, Subodha Kumar, Xiaohang Yue, Hau-Ling Chan
Summary: This study explores the relationship between disruptive technologies in the Industry 4.0 era and operations management. It analyzes their current applications, pros and cons, as well as potential areas of human-machine conflict. Moreover, measures to achieve human-machine reconciliation and sustainable social welfare are proposed, along with a discussion on the role of policy makers. Finally, a future research agenda covering both the Industry 4.0 and Industry 5.0 eras is established.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Management
Tomohiro Ando, Matthew Greenwood-Nimmo, Yongcheol Shin
Summary: This article introduces a new technique for estimating vector autoregressions with a common factor error structure using quantile regression, and applies it to study credit risk spillovers among sovereigns and their financial sectors. The study shows that idiosyncratic credit risk shocks have a stronger propagation effect in the tails of the conditional distribution than at the conditional mean or median. Furthermore, a measure of relative spillover intensity in the right and left tails of the conditional distribution is developed, which provides a timely aggregate measure of systemic financial fragility.
MANAGEMENT SCIENCE
(2022)
Article
Engineering, Manufacturing
Bin Shen, Ciwei Dong, Stefan Minner
Summary: Selling products through retailers with blockchain technology helps combat copycats, increase the profit of brand name companies, enhance consumer awareness, and reduce the profit of imitation products.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Operations Research & Management Science
Changsheng Lin, Gang Kou, Yi Peng, Fawaz E. Alsaadi
Summary: The paper proposes a new aggregation method called ANCM in AHP-GDM, which considers the acceptable consistency of individual PCMs. ANCM is independent of prioritization methods and complies with the Pareto principal of social choice theory, making it easy to program and implement for resolving complex group decision making problems. Two numerical examples showcase the applications and advantages of ANCM.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Operations Research & Management Science
Shahriar Akter, Katina Michael, Muhammad Rajib Uddin, Grace McCarthy, Mahfuzur Rahman
Summary: This study examines digital business transformation through the exploration of four emerging technologies: artificial intelligence, blockchain, cloud, and data analytics (ABCD). The findings highlight the wide-ranging applications and value propositions of these technologies in various vertical sectors, suggesting potential future research directions. Additionally, the study emphasizes the practical implications of these new technologies.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Operations Research & Management Science
Yan-Feng Li, Hong-Zhong Huang, Jinhua Mi, Weiwen Peng, Xiaomeng Han
Summary: This paper proposes a method that incorporates fuzzy probability and Bayesian network into multi-state systems with common cause failures. It develops the basic theories of multi-state BN and fuzzy probability, and illustrates a model integrating CCFs with BN. The paper also discusses the translation of fuzzy probability into accurate probability and conducts quantitative analysis based on BN.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Operations Research & Management Science
Yanyu Chen, E. Kusuma Kumara, V Sivakumar
Summary: This article discusses the importance of financial risk, digital financial services, and digital financial inclusion, as well as the role of digital technology in improving financial inclusion and promoting economic growth.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Hongru Cao, Haidong Shao, Xiang Zhong, Qianwang Deng, Xingkai Yang, Jianping Xuan
Summary: This paper proposes an unsupervised domain-share convolutional neural network method for efficient fault transfer diagnosis of machines from steady speeds to time-varying speeds. By improving the efficiency and robustness of feature adaptation and simultaneously extracting domain invariant features from the source domain and target domain, the proposed method aims to improve diagnosis accuracy and transferability.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Review
Operations Research & Management Science
Purva Grover, Arpan Kumar Kar, Yogesh K. Dwivedi
Summary: This study explores the feasibility of AI utilization in different elements of operations management and provides guidelines for managers based on the collective intelligence of experts on Twitter and academic literature.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Economics
Ludovica Principato, Luca Secondi, Clara Cicatiello, Giovanni Mattia
Summary: More than half of the food wasted in Europe comes from household food waste, mainly due to incorrect food management habits and behavior. This study found that during the Covid-19 lockdown, consumers wasted less food compared to before, especially among young consumers and those who practiced good food management habits. The logistical difficulties of grocery shopping during the lockdown also led to more careful household food consumption.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Engineering, Industrial
Enrico Zio
Summary: The paper discusses the impact of digital transformation on industry and emphasizes the importance of prognostics and health management methods for ensuring safety and reliability of structures and systems. The author highlights the advantages and application areas of PHM, while also pointing out key issues impeding the full deployment of PHM.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Management
Adam N. Elmachtoub, Paul Grigas
Summary: This text introduces a new framework called "Smart Predict, then Optimize" that leverages the structure of optimization problems to design better prediction models. Training with the SPO+ loss function can significantly improve performance under the predict-then-optimize paradigm.
MANAGEMENT SCIENCE
(2022)
Review
Computer Science, Artificial Intelligence
Weiwei Jiang, Jiayun Luo
Summary: Traffic forecasting is crucial for intelligent transportation systems. Graph neural networks have been widely used to model spatial and temporal dependencies in traffic forecasting problems, achieving state-of-the-art performance. This survey reviews the research on different graph neural networks in various traffic forecasting problems and provides a comprehensive list of open data and source codes for each problem, as well as identifies future research directions.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Review
Engineering, Industrial
Junliang Wang, Chuqiao Xu, Jie Zhang, Ray Zhong
Summary: This paper provides a comprehensive review of big data analytics (BDA) for intelligent manufacturing systems, covering the concepts, methodologies, and applications. BDA has shown great potential in improving the efficiency and outcomes of product design, manufacturing, and maintenance. However, there are still challenges and opportunities that need further research and exploration.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
