Article
Computer Science, Artificial Intelligence
Raphael Herding, Lars Moench
Summary: This paper discusses the interactions between different planning functions in semiconductor supply chains and introduces a software agent-based experimental infrastructure design and implementation. The benefits of the experimental environment and distributed computing techniques are illustrated by studying the interaction between master planning and demand fulfillment, and between master planning and production planning.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Energy & Fuels
Xiaoliang Dong, Ning Chen, Xian Zhang, Caixia Wang, Ning Qiao, Hongyu Long
Summary: In this paper, the authors propose environmental and economic indicators based on reactive power pricing for electricity trading and formulate the novel environmental economic power dispatch (NEED) problems. They also introduce an improved tunicate swarm algorithm (ITSA) to deal with these problems effectively. Simulation tests are conducted to compare the performance of ITSA, TSA, and PSO, and the results demonstrate the high efficiency of ITSA in handling the NEED problems.
Article
Mathematics
Maoyang Wang, Peng Wu, Qin Luo
Summary: This paper proposes a chain portrait framework of the software supply chain (SSC) based on a resource perspective, which comprehensively depicts the threat model and threat surface indicator system of the SSC. The effectiveness of the proposed portrait model is verified through existing SSC security events, domain experts, and event visualization based on security analysis models.
Article
Mathematics, Interdisciplinary Applications
Da Wang, Yuexiao Zhang, Wandong Lou, Wenke Zang
Summary: This paper investigates the dynamical behaviors of the classical dual-channel supply chain from the perspective of fractal theory. The definition of filled Julia set in supply chain price competition model is introduced, and it is divided into several sub basins based on the periodicities of the attractors. The importance of mixed coexisting attraction basins' connectivity is illustrated. The inner characteristics of filled Julia sets under different online preferences are analyzed, indicating the negative influence of online preference increase on filled Julia sets' structures. Three control strategies are adopted for unstable cases caused by high online preference, and their control effects are analyzed by quantifying the connectivity restorations.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Management
Jinhao Xie, Chao Chen
Summary: This paper studies the development trend of global supply chain and logistic management (SCLM) under economic globalization and proposes an economic analysis model based on IoT. Empirical data proves the effectiveness of the model, and further analysis shows that it can maximize enterprise interests and shorten the supply chain process effectively.
OPERATIONS MANAGEMENT RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Qiang Han, Zhenlong Yang, Zheng Zhang, Liang Shen
Summary: This study investigates the decision behavior of low-carbon product manufacturers in offline traditional retail channels and online e-commerce channels in the presence of a carbon trading market. Findings show that the establishment of a carbon market can help reduce carbon emissions for manufacturers sensitive to carbon prices or with high emissions, and whether manufacturers transition to online channels depends on consumer sensitivity to sales service. Different channels are more conducive to carbon emission reduction based on product type.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Review
Green & Sustainable Science & Technology
Carlos Antonio Rufino Junior, Eleonora Riva Sanseverino, Pierluigi Gallo, Daniel Koch, Hans-Georg Schweiger, Hudson Zanin
Summary: This study investigates the battery industry and proposes a blockchain-based supply chain platform to improve battery performance and environmental impact control. Through a systematic review, the researchers found that developing a blockchain-based battery tracking platform can enhance transparency and traceability across the entire supply chain, preventing illicit markets, misuse, and pollution release.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Management
Xi Li, Yanzhi Li, Ying-Ju Chen
Summary: The study examines the effects of strategic inventory in the context of chain-to-chain competition, finding that the role of strategic inventory may be altered or even reversed under such competition. Retailers may increase inventory levels in fiercer competition, intensifying supply chain competition. A prisoner's dilemma can arise in supply chain competition, where manufacturers cannot avoid strategic inventory despite it being potentially harmful.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Environmental Sciences
Huiling Zeng, Rita Yi Man Li, Liyun Zeng
Summary: ESG plays a significant role in supply chain management, with operational and environmental performance receiving more attention than profitability. This study contributes to the literature by incorporating ESG into the evaluation of green supply chain performance.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Martha Lucia Sabogal-De la Pava, Carlos Julio Vidal-Holguin, Diego Fernando Manotas-Duque, Juan Jose Bravo-Bastidas
Summary: This article presents a mathematical programming model for designing a sustainable supply chain, considering economic, social, and environmental dimensions. The objective is to maximize market value added, while addressing issues such as cost calculation, location selection, and carbon emissions.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Huijin Cheng, Hao Ding
Summary: In the context of economic globalization, corporate social responsibility has become increasingly important in competitive supply chains. Research shows that CSR is an effective tool to achieve sustainable supply chain, with the greatest impact in centralized supply chains. Factors such as consumer CSR preference, CSR efficiency, and competition intensity influence CSR efforts in supply chains.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Mathematics
Liang Shen, Xiaodi Wang, Qinqin Liu, Yuyan Wang, Lingxue Lv, Rongyun Tang
Summary: The study constructs a game decision-making model for the low-carbon e-commerce supply chain (LCE-SC) considering the carbon trading mechanism and consumers' preference for low-carbon products. The results show that the establishment of carbon trading pilots alleviates the negative impact of unfair profit distribution and increasing commission rate within a reasonable range improves profitability. Additionally, the implementation of carbon trading is conducive to regional sustainable development and controlling environmental governance intensity promotes carbon productivity.
Article
Engineering, Industrial
Andrew Brint, Andrea Genovese, Carmela Piccolo, Gerardo J. Taboada-Perez
Summary: The recent trend of collecting large amounts of data allows organizations to discover unknown data patterns that can improve performance, but the cost of continuing this data collection can be high. This study introduces a statistical method based on PCA and TOPSIS to reduce KPIs, successfully reducing 28 KPIs to 8. The results show that having extra indicators provided little additional precision for the considered time interval, demonstrating the value of reducing a large number of KPIs to a more manageable set.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Economics
Yigang Wei, Xin Liang, Liang Xu, Gang Kou, Julien Chevallier
Summary: The study provides firm-level evidence of regulated firms’ strategic responses under the Shanghai ETS and proposes a model to simulate trading interactions among diversified firms. The results indicate non-monotonic L-shaped trend in carbon prices, increased trading activity with higher carbon prices, and limitations in the current ETS penalty. Policy suggestions are provided for optimizing the ETS mechanism.
Article
Engineering, Industrial
Tongshui Xia, Yuyan Wang, Lingxue Lv, Liang Shen, T. C. E. Cheng
Summary: Fierce market competition and consumers' environmental awareness drive manufacturers to seek competitive advantages through low-carbon production. This paper constructs three financing strategic models under chain-to-chain competition and analyzes the impact of market competition intensity and consumers' low-carbon preference on decision-making and profits. Comparative analysis is conducted to find the optimal financing strategy, and numerical simulation is used for further analysis and robustness tests.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Manufacturing
Konstantina Valogianni, Wolfgang Ketter, John Collins, Dmitry Zhdanov
PRODUCTION AND OPERATIONS MANAGEMENT
(2020)
Article
Energy & Fuels
Johannes Kaufmann, Philipp Artur Kienscherf, Wolfgang Ketter
Article
Green & Sustainable Science & Technology
Joshua Paundra, Jan van Dalen, Laurens Rook, Wolfgang Ketter
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Energy & Fuels
Mohammad Ansarin, Yashar Ghiassi-Farrokhfal, Wolfgang Ketter, John Collins
Article
Computer Science, Artificial Intelligence
Yashar Ghiassi-Farrokhfal, Wolfgang Ketter, John Collins
Summary: Many companies purchase green energy to meet their energy needs in compliance with sustainability goals through power purchase agreements (PPAs) with renewable energy producers (REPs). PPAs can bring quantity uncertainty for buyers, but various strategies are used to encourage accurate predictions from sellers. The use of batteries by REPs can shift production uncertainty risk and improve reliability in a win-win PPA structure.
DECISION SUPPORT SYSTEMS
(2021)
Article
Computer Science, Information Systems
Andreas Fuegener, Jorn Grahl, Alok Gupta, Wolfgang Ketter
Summary: The study reveals that interaction between humans and AI leads to convergence in human choices, improving individual accuracy but reducing unique human knowledge. This loss of individuality may result in negative outcomes in decision-making environments, as demonstrated by the harmful impact on the wisdom of crowds. Mitigation techniques, such as personalizing AI advice, can help maintain both individual performance and group effectiveness.
Article
Computer Science, Artificial Intelligence
Erik Steinmetz, Maria Gini
Summary: The study demonstrates that parallelizing the tree building process using multiple independent trees can improve results when time is limited in Monte Carlo tree search, especially in the domain of computer Go.
IEEE TRANSACTIONS ON GAMES
(2021)
Article
Transportation
Joshua Paundra, Jan van Dalen, Laurens Rook, Wolfgang Ketter
Summary: The sudden discontinuation of the three-in-one policy in Jakarta led to a significant increase in passenger volume in the bus rapid transit system, especially during peak hours in the evening. The extent of the increase depended on whether the area had been subject to the initial policy restriction.
CASE STUDIES ON TRANSPORT POLICY
(2021)
Article
Economics
Derck Koolen, Derek Bunn, Wolfgang Ketter
Summary: The study examines how the introduction of the same renewable energy technology in different parts of the electricity supply chain impacts price formation in wholesale power markets. By developing a model and empirically validating the effects of technology shift on price formation, it reveals that wind and solar technologies have opposite effects on forward risk premiums, providing important insights for market participants, regulators, and policymakers.
Article
Operations Research & Management Science
Karsten Schroer, Wolfgang Ketter, Thomas Y. Lee, Alok Gupta, Micha Kahlen
Summary: A novel competitor-aware model considering vehicle positioning in competitive markets incorporates online machine learning and dynamic mixed integer nonlinear programming. Through simulation, the model outperforms traditional ones in profit improvement, suitable for scenarios of fleet expansion and demand growth.
TRANSPORTATION SCIENCE
(2022)
Article
Information Science & Library Science
Andreas Fuegener, Jorn Grahl, Alok Gupta, Wolfgang Ketter
Summary: The study shows that humans can outperform AI when they collaborate in classification tasks, but only when the AI delegates work to humans. Humans, on the other hand, do not benefit from delegating work to AI. The lack of metaknowledge in humans leads to poor delegation decisions.
INFORMATION SYSTEMS RESEARCH
(2022)
Proceedings Paper
Automation & Control Systems
Minyoung Jeong, John Harwell, Maria Gini
Summary: This study focuses on the exploration time of a swarm of robots doing object gathering. The theoretical analysis and experimental results show how different properties can affect the time required for exploration.
INTELLIGENT AUTONOMOUS SYSTEMS 16, IAS-16
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Aditya Gaydhani, Raymond Finzel, Sheena Dufresne, Maria Gini, Serguei V. S. Pakhomov
Summary: CADLAC is a multi-modal conversational agent system designed to impersonate individuals with various levels of ability in activities of daily living for training professional assessors. The system features advanced components like a Bidirectional Long Short-Term Memory topic tracker and a rule-based Natural Language Generation module, delivering conversations via web frameworks with a voice interface.
EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS
(2021)
Article
Management
Ayman Abdelwahed, Pieter L. van den Berg, Tobias Brandt, Wolfgang Ketter, Judith Mulder
Summary: This study presents a Dutch project on electrifying public transport buses, involving optimization of charging schedules and development of real-time decision support systems to address operational uncertainties. The findings demonstrate the advantages of real-time optimization over offline planning and greedy strategies in handling extreme uncertainty conditions, contributing to successful phase results. The research highlights the potential positive impact of coordination between renewable energy generation and electric bus charging schedules.
INFORMS JOURNAL ON APPLIED ANALYTICS
(2021)
Article
Automation & Control Systems
Julio Godoy, Stephen J. Guy, Maria Gini, Ioannis Karamouzas
ROBOTICS AND AUTONOMOUS SYSTEMS
(2020)
