Article
Green & Sustainable Science & Technology
Luigi Pio Prencipe, J. Theresia van Essen, Leonardo Caggiani, Michele Ottomanelli, Goncalo Homem de Almeida Correia
Summary: The integration of electric car-sharing systems and V2G technology is a promising business model that can provide economic and environmental benefits. This study presents an optimization model using mixed integer linear programming to find the optimal management strategy, maximizing revenue by combining electric car-sharing system operations with V2G technology.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Operations Research & Management Science
Bin Zhang, Yi Yi, Chavi Chi-Yun Fletcher-Chen, Pengyu Zou, Zhaohua Wang
Summary: Sustainable operation considers the harmonious development of environment, economy, and society, but research on electric vehicles' sharing in sustainable operation is lacking. This paper explores the use of digital technologies to analyze behavioral patterns and carbon emissions in EVS, using a large-scale travel record dataset from Shenzhen, China. The results show that short-distance EVS does not bring low-carbon benefits, while long-distance travel patterns have the best emission reduction effects. Shared travel in urban traffic is concentrated in commercial and residential areas, not only during peak times but also at noon, and usage on weekends and holidays has increased significantly. Interestingly, a group of users continue low-carbon travel at public transportation locations.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Management
Chun Cheng, Yossiri Adulyasak, Louis-Martin Rousseau
Summary: Facility location decision is strategic and should consider uncertainties; Solutions to fixed charge location problems and facility fortification problems were studied and compared; Experimental results show that robust models can better handle problems under uncertainties, assisting managers in making more informed decisions.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Engineering, Manufacturing
Hossein Abouee-Mehrizi, Opher Baron, Oded Berman, David Chen
Summary: This study suggests that using electric vehicles in the car sharing market is only optimal when the charging speed, availability of charging stations, and range of EVs are sufficient. Introducing EVs to the car sharing market may lead to higher total emissions, and governments should implement taxation or subsidies based on the environmental impact.
PRODUCTION AND OPERATIONS MANAGEMENT
(2021)
Article
Operations Research & Management Science
Peter Egri, Balazs David, Tamas Kis, Miklos Kresz
Summary: This paper focuses on the design problem of waste wood supply network and proposes solutions through mathematical models and methods. The study includes facility location problem, economies of scale, and robustness. The experiments show that the models and methods have good performance.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Civil
Bingshan Ma, Dawei Hu, Xue Wu
Summary: The study proposes a location routing problem for the car-sharing system with autonomous electric vehicles, determining optimal station location and vehicle routing while considering different recharging and service options. The efficiency of the algorithm is demonstrated through comparative experimental results, showing that significant cost savings can be achieved by allowing partial recharge.
KSCE JOURNAL OF CIVIL ENGINEERING
(2021)
Article
Management
Ahmed Saif, Erick Delage
Summary: This study focuses on a distributionally robust version of the capacitated facility location problem, addressing uncertainties in customer demands through various approximation schemes and algorithms. Numerical experiments on benchmark instances demonstrate the efficiency of exact solution algorithms and the performance guarantee of the solutions on out-of-sample data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Transportation Science & Technology
Tengkuo Zhu, Stephen D. Boyles, Avinash Unnikrishnan
Summary: This paper discusses a short-term post-disaster UAV humanitarian relief application, considering demand uncertainty using demand scenarios. It proposes a location-allocation plan with minimal cost and compares the performance of different models.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Computer Science, Interdisciplinary Applications
Tianqi Liu, Guiyu Li
Summary: This study proposes a structured paradigm of finitely adaptive distributionally robust optimization to tackle the unobservability and ambiguity of feedstock condition. Experimental results demonstrate the effectiveness of the approach in mitigating unobservability and ambiguity effects in recycling planning, and the scalability advantage suggests potential applications in other areas.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Multidisciplinary Sciences
Elisabetta Perotti, Ana M. Ospina, Gianluca Bianchin, Andrea Simonetto, Emiliano Dall'Anese
Summary: This paper explores methods to maximize renewable-based EV charging in ride-sharing enterprises, introducing the concept of charge request. Using a game-theoretic approach, a mechanism is proposed where the power utility company offers incentives and the ride-sharing platform assigns vehicles based on Nash equilibria. Numerical results demonstrate the possibility of shifting EV charging to periods of high renewable generation while minimizing impact on service quality.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Information Systems
Alessandro Ciociola, Danilo Giordano, Luca Vassio, Marco Mellia
Summary: This paper analyzes the impact of different demand intensities on system design options for electric vehicle free-floating car sharing systems (EV-FFCS). Data from a car sharing system in three different cities are used to build demand and supply models. The performance of different design options is evaluated from the perspectives of customers and operators in terms of service quality and profitability. The study examines the number and placement of chargers, as well as fleet size. The results highlight the importance of scaling charging infrastructure capacity proportionally to mobility demand and the potential for profitability with increased demand and fleet size.
INFORMATION SCIENCES
(2023)
Article
Engineering, Electrical & Electronic
Su-Yang Shieh, Tulga Ersal, Huei Peng
Summary: This paper focuses on the pulse-and-glide (PnG) control for a parallel hybrid electric vehicle (HEV) in car-following. A control method is proposed to utilize both the vehicle body and the battery as the energy buffers simultaneously in the PnG operation. Numerical simulations show significant improvements in fuel economy while maintaining ride comfort and SOC sustenance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Karmel S. Shehadeh, Ece Sanci
Summary: This paper considers a decision-maker who needs to determine a subset of locations to open facilities from a set of candidate sites and assign customer demand accordingly. The study focuses on a new setting where customer demand is bimodal, with two spatially distinct probability distributions. By constructing a scenario-wise ambiguity set and formulating a distributionally robust facility location model, the study seeks to minimize costs while considering the ambiguity and multimodality of demand distributions in strategic real-world problems.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Operations Research & Management Science
Meysam Hosseini, Arsalan Rahmani, F. Hooshmand
Summary: This paper discusses the issue of inadequate recharging infrastructure in the development of alternative fuel vehicles, presents a robust model that maximizes the probability of drivers completing their trips, and develops a corresponding solution algorithm. Computational results confirm the effectiveness of the model and algorithms.
OPERATIONAL RESEARCH
(2022)
Article
Management
Beste Basciftci, Shabbir Ahmed, Siqian Shen
Summary: This paper discusses a distributionally robust facility location problem, highlighting the significant impact of facility location decisions on customer demand. The proposed decision-dependent distributionally robust optimization model demonstrates superior performance in profit and service quality across different scenarios.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
Sheng Liu, Zuo-Jun Max Shen, Xiang Ji
Summary: This study focuses on urban bike lane planning based on fine-grained bike trajectory data. It develops an optimization framework to guide bike lane planning, capturing cyclists' route choices and utility functions. The research demonstrates efficiency of proposed algorithms and quantifies trade-offs between bike trip coverage and lane continuity, highlighting the importance of understanding cyclists' route choices.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Management
Jian Chen, Yong Liang, Hao Shen, Zuo-Jun Max Shen, Mengying Xue
Summary: The study proposes a solution to help omnichannel retailers make offline store location and assortment decisions to maximize profits across online and offline channels. It finds that omnichannel retailers should provide location-dependent offline assortments, the importance of jointly determining offline store locations and assortments, and the necessity of incorporating the online channel in offline-channel planning decisions.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Manufacturing
Shaochong Lin, Youhua (Frank) Chen, Yanzhi Li, Zuo-Jun Max Shen
Summary: The study introduces a data-driven risk-averse newsvendor model that utilizes machine learning methods to weigh the similarity between a new product and previous products based on covariates, enabling efficient computation of expected profit and profit risk constraints. The model is proven to be asymptotically optimal.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Management
Hansheng Jiang, Junyu Cao, Zuo-Jun Max Shen
Summary: This study examines the impact of reference effects and consumer heterogeneity on intertemporal pricing and proposes a methodology to estimate heterogeneous consumer reference effects and compute the optimal pricing policy efficiently. The findings emphasize the importance of considering consumer heterogeneity in pricing strategies and suggest that heterogeneous reference effects motivate promotions and price fluctuations.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Manufacturing
Long He, Sheng Liu, Zuo-Jun Max Shen
Summary: This study reviews innovative applications and related research areas in urban transport and logistics (UTL), highlighting the sources, types, and uses of data as well as business analytics techniques and software for planning and managing UTL systems. The paper concludes by reflecting on emerging trends and potential research directions in data-driven decision making for smart UTL.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Industrial
Jingchuan Chen, Zuo-Jun Max Shen
Summary: This study proposes a fast algorithm for predicting the production process performance in flexible production lines with delayed differentiation under operation control. By formulating practical problems into a mathematical model and offering prediction algorithms, the study verifies the accuracy of these methods and provides a foundation for other transient-based studies.
Article
Management
Zhiyu Zeng, Hengchen Dai, Dennis J. Zhang, Heng Zhang, Renyu Zhang, Zhiwei Xu, Zuo-Jun Max Shen
Summary: Content-sharing social network platforms rely on user-generated content and face limited control over content provision. This study explores the use of social nudges to stimulate content production through social interactions between users. The results show that social nudges immediately increase content supply without affecting quality and also lead to more nudges sent by providers. These effects persist over time and are amplified when there are stronger ties between senders and recipients. The research highlights the value of leveraging co-user influence and provides guidance for incorporating intervention diffusion in social network estimation.
MANAGEMENT SCIENCE
(2023)
Article
Engineering, Industrial
Li Xiao, Zuo-jun Max Shen
Summary: This article examines the impact of providing a carpooling service on customer waiting time and driver utilization in an on-demand service platform. The efficiency of the carpooling service is influenced by the source of customers and the length of a normalized detour. If the carpooling service attracts new customers, both waiting time and driver utilization increase. If the service primarily attracts existing customers, the impact depends on the detour length.
Article
Management
Siddharth Arora, James W. Taylor, Ho-Yin Mak
Summary: This study focuses on estimating the probability distribution of individual patient waiting times in an emergency department using a machine learning approach. The proposed method provides more accurate probabilistic forecasts compared to existing methods that only focus on point forecasts. This can improve overall patient satisfaction and prevent patient abandonment.
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)
Article
Robotics
Jingchuan Chen, Zuo-Jun Max Shen
Summary: This article investigates the interactions between manufacturing systems and inventory models, and proposes effective algorithms for analyzing the dynamic behavior of manufacturing systems with regular orders. The approach reduces the state space of the problem and maintains high accuracy.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Engineering, Industrial
Xiaohong Chen, Tianhu Deng, Zuo-Jun Max Shen, Yi Yu
Summary: This article introduces the mission of the Institute of Industrial and Systems Engineers (IISE) and the problems it faces. It identifies three major bottlenecks that limit the industrial implementation of research outcomes and proposes potential solutions, highlighting the importance of data-driven decision methods.
Article
Management
Xiaojing Feng, Ying Rong, Zuo-Jun Max Shen, Lawrence V. Snyder
Summary: When supply disruptions occur, firms need to employ the right pricing strategy. Fixed pricing strategy offers stability but lower profit, while naive pricing strategy brings higher profit. One-period correction strategy results in volatile customer order process and smaller profit. Regression pricing strategy, though advanced, leads to lower profit and greater customer order variability. It is advisable to adjust price to match supply and demand and not eliminate customer order variability completely.
