Article
Business
Jianjia He, Ni Zhang
Summary: With the development of industrial interconnection and the change of collaboration models, an industry interconnection supply and demand network resource matching platform based on the Alliance blockchain has been built, which simplifies the transaction process and improves the efficiency of resource allocation.
JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Thi-Thanh-An Nguyen, Duy-An Ha, Wen-Yuan Zhu, Shyan-Ming Yuan
Summary: This research proposes a real-time filtering bid requests (RFBR) model to predict whether an incoming bid request is intentional or non-intentional from the demand-side platform's viewpoint (DSP). The model consists of three stages: analyzing attributes, building a classification model, and implementing the RFBR model, which effectively classifies incoming bid requests.
APPLIED SCIENCES-BASEL
(2022)
Article
Green & Sustainable Science & Technology
Amir Hossein Sheikh Azadi, Vahid Shamsi Nesary, Omid Kebriyaii, Mohammad Khalilzadeh, Jurgita Antucheviciene
Summary: Nowadays, the design of supply chain networks should consider both environmental issues and customer needs. This study uses the Kano model to categorize product features and designs a green supply chain network based on Kano's conceptual model. The proposed mathematical model considers customer demand, minimizes transportation pollution, and uses Cooperative Game Theory to solve the model.
Article
Computer Science, Information Systems
Pengwei Zhou, Zuhua Xu, Xiaoping Zhu, Jun Zhao, Chunyue Song, Zhijiang Shao
Summary: In this paper, a real-time scheduling problem of a multi-product gas supply network is modeled using reinforcement learning. A safe RL method with prediction and safeguard modules is developed to predict state changes and replace dangerous actions. The active prediction-safeguard strategy helps reduce trial-and-error costs, speed up training, and run online. Case studies on an actual gas supply network demonstrate the advantages of the proposed method.
INFORMATION SCIENCES
(2023)
Article
Engineering, Industrial
Junhyeok Lee, Changseong Ko, Ilkyeong Moon
Summary: This paper presents a study on designing e-commerce supply chain networks considering on-demand warehousing and decisions for commitment periods. The proposed two-stage stochastic programming model captures inherent uncertainties and formulates the problem effectively. The developed method, which generates effective initial cuts for improving the convergence speed of the Benders decomposition algorithm, shows significant cost-saving effects when an on-demand warehousing system is used.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Economics
Enoch Lee, Xuekai Cen, Hong K. Lo
Summary: This paper proposes a zonal-based flexible bus service scheduling method that considers elastic stochastic demand, stochastic location, time-dependent travel time, and passenger time window constraints. The scheduling problem is formulated as a two-stage decision-dependent stochastic problem with recourse, and various solution methods are introduced. Numerical studies demonstrate the efficiency and quality of the proposed method and its advantage over the frequency-based approach in reducing ad hoc service cost.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Chemistry, Multidisciplinary
David A. Ruvalcaba-Sandoval, Elias Olivares-Benitez, Omar Rojas, Guillermo Sosa-Gomez
Summary: This research addresses the complex task of supply-chain network design with the proposal of two matheuristic algorithms that proved successful in obtaining better results for larger instances in shorter execution times.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Xianlong Ge, Yuanzhi Jin, Jingzheng Ren
Summary: The transition from conventional vehicles to Hydrogen Fuel Cell Vehicles (HFCVs) can benefit low-carbon city development by improving air quality and health significantly. This research presents a basic model for the Two-level Hydrogen Supply Network Design (THSND) with stochastic demand, considering hydrogen plant and refueling station decisions to construct low-cost and environmentally friendly hydrogen supply networks (HSNs) in urban areas. Four extended models are established to evaluate the carbon reduction impact on the total cost of HSNs. A robust data-driven approach is developed to solve the models, which shows applicability and generalizability in simulations. The best suitable decision result on plants and stations is found to be cost-effective and environmentally successful under the model considering carbon cap and trade.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Automation & Control Systems
Hunmin Kim, Minghui Zhu
Summary: Entities in multiagent systems may compete due to conflicting subobjectives. To address performance degradation, a bilevel lottery model where a social planner selects a reward and players determine a Nash equilibrium is proposed. Efficiency losses may occur when the Nash equilibrium does not align with the social optimum. An optimal bilevel lottery design problem is formulated to find the least reward and perturbations that produce a socially optimal payoff. The price of anarchy and the behavior of public goods and Nash equilibrium are characterized with respect to the reward and perturbations. A convex approximation relaxes the problem, and conditions for exactness are identified.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Transportation Science & Technology
Qingyun Tian, Yun Hui Lin, David Z. W. Wang
Summary: This paper focuses on the operation design of a future public transit service adopting modular vehicles. The unique feature of modular vehicles allows for assembling and disassembling operations along each trip to dynamically adjust the vehicle formation at stations. A mathematical model is proposed to determine the optimal scheduling and modular vehicle formation, considering time-dependent travel demand and module availability. The model is solved using exact reformulation techniques and a two-step heuristic approach, showing the validity and efficiency of the formulation and solution methods. It is found that modular transit services have remarkable advantages in reducing both operator's and passengers' costs.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Materials Science, Multidisciplinary
H. T. M. Nghiem, T. A. Costi
Summary: The self-energy method accurately calculates equilibrium spectral functions by expressing the correlation part in terms of the ratio of two Green's functions, particularly in strong correlation models. In the time-dependent situation, closed expressions for the local Green's function can be obtained using the equation-of-motion method.
Article
Computer Science, Artificial Intelligence
Mingqiang Yin, Min Huang, Xiaohu Qian, Dazhi Wang, Xingwei Wang, Loo Hay Lee
Summary: Due to the growing competitiveness of the global market, controlling delivery time has become a crucial advantage for enterprises. This paper proposes a novel fourth-party logistics (4PL) network design problem that aims to minimize overall cost while considering service time constraint and stochastic demand. A two-stage nonlinear stochastic programming model is proposed to address this problem, and it is transformed into a mixed integer linear programming (MILP) model by linearizing the service time constraint using auxiliary variables and utilizing the sample average approximation (SAA) method to handle the stochastic demand. A variable separation (VS) strategy is introduced to enhance the dual decomposition and Lagrangian relaxation (DDLR) approach, resulting in the VSDDLR-SAA algorithm for solving the MILP model. Numerical examples and a real-life case demonstrate the effectiveness of the proposed model and algorithm. Comparison analysis reveals that 4PL, in collaboration with third-party logistics providers, can deliver products within the prescribed time at a lower cost compared to the supply chain network.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Engineering, Chemical
Vanessa Klementzki, Elke Glistau, Sebastian Trojahn, Norge Isaias Coello Machado
Summary: The present era is marked by various events that have an impact on supply chains and supply networks, such as war, epidemics, natural disasters, accidents, strikes, political instability, and political sanctions. In order to mitigate the risk of supply chain disruption, preventive and proactive measures need to be taken in supply chain management, including planning. This paper aims to summarize the current state of knowledge, derive a new definition, and establish an analogy to maintenance. It also compares concepts and lists important proactive measures for increasing resilience, extending the scope of action from supplier exchange to the entire supply chain network and customer exchange.
Article
Green & Sustainable Science & Technology
Rong Fu, Qiang (Patrick) Qiang, Ke Ke, Zuqing Huang
Summary: Closed loop supply chain (CLSC) is beneficial to the environment but complex, with most studies focusing on product homogeneity and involving single manufacturers, distributors, or retailers. Rarely do studies analyze CLSC with network structures involving multiple competing and coordinating agents. Inspired by recent business cases, a coupled CLSC network model for heterogeneous products facing different market demands is developed.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Physics, Fluids & Plasmas
Victor F. Los
Summary: The article introduces a new version of the nonlinear Nakajima-Zwanzig inhomogeneous generalized master equation for N-particle distribution functions based on a special time-dependent projection operator P(t). This method accurately handles the evolution of the relevant part of the distribution function and proposes a rigorous conversion method for dealing with initial correlation terms, then demonstrates the equivalence conditions between the homogeneous nonlinear GME for one-particle distribution functions and the nonlinear Boltzmann equation.
Article
Transportation Science & Technology
Shuyang Zhang, Hong K. Lo
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Transportation Science & Technology
A. U. Z. Patwary, Wei Huang, Hong K. Lo
Summary: This paper introduces a metamodel-based simulation optimization framework for calibrating an agent-based multimodal traffic microsimulator, which combines a simplified multimodal traffic model with the metamodel to enhance the efficiency and adaptability of the calibration process.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Operations Research & Management Science
Kai Yuan, Hong K. Lo
Summary: This study investigates the impact of multiple classes of moving bottlenecks on the fundamental diagram, categorizing vehicles into different classes, developing analytical formulas, and validating the results through simulations.
TRANSPORTATION SCIENCE
(2021)
Article
Economics
Lu Li, Hong K. Lo, Wei Huang, Feng Xiao
Summary: This paper presents a framework for addressing the multi-depot vehicle location-routing scheduling problem with multiple vehicle types, including electric buses, under range uncertainty. The concept of range reliability is introduced to minimize the expected total cost of the system using stochastic programming and gradient algorithm. The proposed approach shows promising results in bus services in Hong Kong by considering the effects of driving range uncertainty.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Economics
Yue Huai, Hong K. Lo, Ka Fai Ng
Summary: The study examines the impact of activity resource allocation, transport network improvement, and property development on urban communities. Results show that centralized resource allocation increases producer surplus but reduces household disposable income, with job reallocation being the most effective in alleviating traffic congestion. The outcomes suggest it is challenging to find an urban form that benefits all three stakeholder groups in the case study example.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Transportation Science & Technology
A. U. Z. Patwary, Wei Huang, Hong K. Lo
Summary: The research proposes a link-to-link segment-based Kriging metamodel to address issues in dynamic network loading, improving computational speed while maintaining some desirable analytical properties. In experiments, the proposed Kriging metamodel performed better than a state-of-the-art neural network model and demonstrated reasonable performance under balanced route demand and different levels of congestion.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Economics
Enoch Lee, Xuekai Cen, Hong K. Lo
Summary: This study investigates the use of flexible buses to reduce urban congestion by providing door-to-door service with multiple passengers sharing vehicles. The solution approach combines gradient-based and greedy search approaches to maximize profits while accounting for detour time costs. By introducing reliability measures for demand volume and detour time, the solution effectively optimizes flexible bus routing plans. Promising results were achieved using real data in Chengdu, China.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Transportation
Gege Jiang, Shuling Wang, Hong K. Lo, Zheng Liang
Summary: This study introduces the importance of valuing travel time reliability and defines the concept of variation cost. The proposed single-step tolling scheme aims to reduce cost variability and queuing cost. Through the framework, the study explores the combined impact of cost variability, capacity degradation, and road pricing on travelers' departure profile and the overall system generalized cost.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2022)
Article
Operations Research & Management Science
Enoch Lee, Xuekai Cen, Hong K. Lo, Ka Fai Ng
Summary: By considering spatial and volume stochastic variations of passenger demands, a zonal-based flexible bus service (ZBFBS) is developed with a two-stage stochastic program to minimize operating costs. Reliability requirements are introduced to ensure service quality and the problem is separated into two phases for efficient solutions.
TRANSPORTATION SCIENCE
(2021)
Article
Engineering, Civil
Lubing Li, Wei Huang, Andy H. F. Chow, Hong K. Lo
Summary: This study develops a cell-based two-stage stochastic program to address the dynamic, spatial, and stochastic characteristics of traffic flow for arterial adaptive signal control. By incorporating the concept of Phase Clearance Reliability (PCR) and using a gradient-based solution algorithm, the study enhances solution efficiency and validates findings through VISSIM. Results show the importance of capturing dynamic, spatial, and stochastic features for traffic control in order to avoid delay performance degradation.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Operations Research & Management Science
A. U. Z. Patwary, Shuling Wang, Hong K. Lo
Summary: This paper proposes an efficient gradient estimation method called Iterative Back-propagation (IB) for network optimization problems with an embedded static traffic assignment (TA) model. The method exploits the iterative structure of the TA solution process to calculate the gradients simultaneously, without requiring additional function evaluations, and scales well with higher dimensions. Application of the method to the OD estimation problem in the Hong Kong multimodal network demonstrates its effectiveness in reducing errors and matching link counts.
TRANSPORTATION SCIENCE
(2023)
Article
Engineering, Civil
Enoch Lee, Hong K. Lo, Manzi Li
Summary: This paper optimizes the zoning, scheduling, and pricing of a zonal-based flexible bus service (ZBFBS) by considering dynamic stochastic demand volume, ride request locations, and time window constraints. Two approaches are proposed: the demand-responsive method and the stochastic programming approach. The results show the benefit of the bi-level framework in producing an optimal zonal design and the superiority of the bi-level stochastic zonal design framework over the demand-responsive method in a tight planning time.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation
Gege Jiang, Hong K. Lo, Qinrui Tang, Zheng Liang, Shuling Wang
Summary: This paper analyzes the impact of road pricing on the departure profiles and system performance in the presence of endogenous traffic congestion and travel time variability. It finds that travel time variability leads to smoother departure profiles, reducing queuing costs for travelers but also decreasing social surplus for the overall system. Road pricing is identified as a potential tool to offset or mitigate the reduction in social surplus caused by travel time variability.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2021)
Review
Transportation
Shuyang Zhang, Hong K. Lo, Ka Fai Ng, Guojun Chen
Summary: Disruptions in the metro system can cause chaos in public transport, which can be managed through internal adjustments and substitute bus services. Research on this topic has grown significantly in the past decade, with literature classified into three groups: preparation, internal management, and bus service management. Future focus should be on the development of substitute bus services.
Proceedings Paper
Computer Science, Artificial Intelligence
Enoch Lee, Ashraf Uz Zaman Patwary, Wei Huang, Hong K. Lo
11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS
(2020)
Article
Economics
Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2024)
