Article
Engineering, Manufacturing
Peng Wang, Kai Pan, Zhenzhen Yan, Yun Fong Lim
Summary: Maximizing system productivity or minimizing inter-completion time variability is the goal. Through analytical derivation of throughput and coefficient of variation, optimal strategies for assigning work content based on worker speeds have been identified.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Manufacturing
Arnd Huchzermeier, Tobias Moench
Summary: Industry trends such as product customization, radical innovation, and local production are driving the adoption of mixed-model assembly lines (MMALs) to handle the increasing gap between model processing times and true build to order capability. The existing deviations in work content on these assembly lines pose challenges for production planning, particularly in assembly line sequencing. This study proposes an ideal variable rate launching (VRL) case that achieves 100% productivity by minimizing idle time and utility work, and demonstrates the benefits of open stations and variable takt in reducing labor costs and total line length.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Automation & Control Systems
Guangdong Tian, Cheng Zhang, Amir M. M. Fathollahi-Fard, Zhiwu Li, Chaoyong Zhang, Zhigang Jiang
Summary: This article proposes a bucket brigades disassembly line balancing optimization method that considers uncertainty, using a cloud model to represent uncertain disassembly time. The proposed method handles multiple objectives, such as smoothness, cost, and energy consumption, to be minimized. It also innovates a new heuristic method based on the social engineering optimizer to solve this complex problem.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Chemistry, Multidisciplinary
Ming-Liang Li
Summary: This study uses an algorithm to balance assembly lines by matching operators to workstations to achieve targeted output rates. By determining the number of operators needed at each workstation and matching their training and skills to workstation requirements, training time is reduced. Additionally, the proposed algorithm can solve the problems of balancing assembly lines and worker absences.
APPLIED SCIENCES-BASEL
(2021)
Article
Physics, Multidisciplinary
Tyler S. Harmon, Frank Julicher
Summary: In this study, we propose a reliable method for assembling protein complexes into the correct structure using an assembly line with a specific sequence of assembly steps. By utilizing droplet interfaces to position compartment boundaries, we demonstrate that an assembly line can be self-organized by active droplets. As a result, assembly steps can be spatially arranged to achieve a specific order of assembly and prevent incorrect assembly.
PHYSICAL REVIEW LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Dongxiang Yan, Yue Chen
Summary: This paper proposes a distributed online algorithm to address the supply-demand mismatch of electric vehicle charging stations caused by fluctuating renewable generation and unpredictable charging demands. The algorithm operates in a prediction-free manner and properly satisfies time-coupling constraints. It also provides a theoretical bound for the optimality gap between offline and online solutions. Additionally, an improved ADMM algorithm is proposed for distributed computation, ensuring privacy protection and online implementation. Case studies validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Computer Science, Information Systems
Sourabh Bharti, Alan Mcgibney
Summary: Industry 4.0 has transformed modern industrial assets into a valuable source of data for optimizing operations, ensuring efficiency, and reducing maintenance costs. Federated Learning offers a mechanism to mine distributed data in a privacy-preserving manner, providing new opportunities for collaborative asset management. However, challenges such as device heterogeneity and scalability need to be addressed to fully integrate FL into predictive maintenance applications.
Article
Energy & Fuels
Rumeng Yin, Jiang He
Summary: Small off-grid solar photovoltaic (PV) systems installed in small urban public space or on the roofs of urban facilities can allow PV power stored in shared EB batteries for using anytime and anywhere, and make almost no side effects on original functions of the system installation locations, which is an effective and economic approach for promoting solar energy utilization in cities.
Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yanping Xiang
Summary: Mission aborting aims to prevent catastrophic damages by modeling and optimizing a partial abort policy (PAP) for systems with multiple work-sharing units. The proposed PAP balances completed work and risk of damages, contributing to mission performance evaluation and optimization.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Economics
Richard Mix, Ricardo Hurtubia, Sebastian Raveau
Summary: This study proposes an integrated approach to model the demand of bike-sharing trips and the optimal location of stations in the system. Results suggest that the built environment, office land use, presence of bicycle lanes, and accessibility variables have an impact on the usage of public bicycles. The forecasted demand for the optimal distribution of stations is 64% higher than the observed demand.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Physics, Multidisciplinary
Lili Li, Xiaohan Li, Senbin Yu, Xiaojia Li, Jiaqi Dai
Summary: This paper examines the unbalanced usage pattern of bike-and-ride activities in free-floating bike sharing in Beijing. The study finds that the unbalance activities show a power-law distribution, with weekdays exhibiting more significant unbalanced features than weekends. The peak hours of unbalanced state at metro stations on weekdays suggest commuting between suburban and urban areas as the primary source of the unbalance usage of bike-and-ride in Beijing.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Leonardo Caggiani, Rosalia Camporeale, Zahra Hamidi, Chunli Zhao
Summary: This study focuses on efficiency evaluation of bike-sharing systems using data envelopment analysis (DEA), applied and tested on Malmobybike BSS in Sweden. Results highlight significant associations between station relative efficiency and urban context, providing insights for other cases and urban contexts. Overall, the DEA-based methodology could assist decision-makers and planners in developing operational strategies for BSS stations and networks.
Article
Engineering, Electrical & Electronic
Yingyu Liang, Yaotong Huo, Feng Zhao
Summary: The study introduces a new protection criterion for power systems based on projected reference impedance, aimed at accurately distinguishing internal and external faults, reducing fault response time, and ensuring high-speed operation of distance relays.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Eleonora Bottani, Roberto Montanari, Andrea Volpi, Letizia Tebaldi
Summary: Data collection can be time-consuming, but automation can bring multiple benefits. This paper proposes re-engineered solutions for automating data collection in four different situations, enabled by information integration. The case studies involve Statistical Process Control for quality management purposes on a filling machine, with the validation of systems and instruments using the ANOVA Gage Reproducibility & Repeatability method.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Engineering, Marine
Yaohua Guo, Yue Zhao, Shengxiao Zhao, Haijun Wang, Jijian Lian
Summary: The construction of deep-sea and offshore wind farms is crucial for the development of offshore wind power. This study reviews the latest developments in bottom supporting structures and installation methods, and introduces a novel integrated floating method. The proposed method has been validated and shown to enable efficient and quick installation under specific conditions.
SHIPS AND OFFSHORE STRUCTURES
(2023)
Article
Engineering, Industrial
Yun Fong Lim, Yan Zhang, Chen Wang
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2015)
Article
Management
Yun Fong Lim, Yunzeng Wang, Yue Wu
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2015)
Article
Management
Ruozhen Qiu, Minghe Sun, Yun Fong Lim
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2017)
Article
Management
Yun Fong Lim, Chen Wang
MANAGEMENT SCIENCE
(2017)
Article
Engineering, Manufacturing
Yun Fong Lim
PRODUCTION AND OPERATIONS MANAGEMENT
(2017)
Article
Management
Guang-Xin Gao, Zhi-Ping Fan, Xin Fang, Yun Fong Lim
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2018)
Article
Management
Marcus Ang, Yun Fong Lim
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2019)
Article
Engineering, Manufacturing
Yun Fong Lim, Bingnan Lu, Rowan Wang, Wenjia Zhang
PRODUCTION AND OPERATIONS MANAGEMENT
(2020)
Article
Management
Yun Fong Lim, Song Jiu, Marcus Ang
Summary: The study proposes a method that effectively reduces operating costs for online retailers by optimizing the replenishment, allocation, and fulfillment decisions to minimize total operating costs. Experimental results show that the approach outperforms existing methods and performs within 7% of a benchmark with perfect information. Real data study suggests that the method can significantly reduce the retailer's cumulative cost.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2021)
Article
Engineering, Manufacturing
Qiyuan Deng, Xin Fang, Yun Fong Lim
Summary: The increase in urban population and e-commerce activities has created a significant demand for urban last-mile delivery, leading to a need for solutions like urban consolidation centers and peer-to-peer platforms. Under the UCC model, carriers become more dependent on the center as their variable delivery cost increases, while the platform model ensures a balance of supply and demand. The UCC is more profitable when carriers have high variable delivery costs and becomes more dominant with an increase in carriers, while its efficiency in mitigating negative impacts depends on the number of carriers present.
PRODUCTION AND OPERATIONS MANAGEMENT
(2021)
Article
Engineering, Manufacturing
Peng Wang, Kai Pan, Zhenzhen Yan, Yun Fong Lim
Summary: Maximizing system productivity or minimizing inter-completion time variability is the goal. Through analytical derivation of throughput and coefficient of variation, optimal strategies for assigning work content based on worker speeds have been identified.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Management
Linqiu Li, Xin Fang, Yun Fong Lim
Summary: In this study, we analyze a C2C platform that offers an inspection service to address the issue of product authenticity uncertainty. A seller sells a product on the platform, and a buyer receives a signal of the product's authenticity from the price set by the seller. The platform's inspection service can detect counterfeits with a certain probability. If the product passes the inspection, it is sent to the buyer and the seller is charged a commission fee. Otherwise, the product is returned to the seller and a penalty fee is charged.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Management
Shouchang Chen, Zhenzhen Yan, Yun Fong Lim
Summary: In this study, we investigate the optimal holding time for consecutive orders from online consumers before sending them to a third-party logistics provider. Using a Markov decision process model, we find that a personalized threshold-type strategy outperforms benchmarks in terms of reducing order arrangement costs and potential delivery delays.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Management
Ziliang Jin, Yulan Wang, Yun Fong Lim, Kai Pan, Zuo-Jun Max Shen
Summary: Shared micromobility vehicles provide an eco-friendly form of short-distance travel within an urban area. To overcome the imbalance between vehicle supply and demand in different service regions, a micromobility operator can use reward incentives and engage a third-party logistics provider (3PL) for vehicle relocation. The study proposes a two-stage stochastic mixed-integer program to optimize vehicle allocation and relocation, and the results show that incorporating rider crowdsourcing and 3PL can increase profit and improve system efficiency.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Chen Wang, Hoong Chuin Lau, Yun Fong Lim
COMPUTATIONAL LOGISTICS (ICCL 2015)
(2015)