Article
Engineering, Multidisciplinary
Do Thi Thanh Tuyen, Nguyen Van Hop
Summary: This article proposes a dynamic game approach to address the vehicle routing problem with random product returns. The proposed method is validated through numerical experiments and sensitivity analyses.
ENGINEERING OPTIMIZATION
(2023)
Article
Management
Lavanya Meherishi, Sushmita A. Narayana, K. S. Ranjani
Summary: This study focuses on the integrated lot-sizing and pricing decisions for product and secondary packaging in a profit-oriented two-stage supply chain. The research finds that decentralized channels have lower channel profits but generate less packaging waste compared to centralized channels. The study supports the notion that larger sized products can reduce packaging waste.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Chemical
Feng Fu, Shuangying Chen, Lin Sun
Summary: This study examines how OEMs' interchangeable design affects remanufacturing decisions, and suggests that remanufacturing outsourcing may be more beneficial for the environment, industry, and society.
Article
Mathematics, Interdisciplinary Applications
Yang Ying, Chai Rui, Sun Xinyu, Li Yiming
Summary: This paper explores the RI strategies of competing e-sellers and finds that low-reputation e-sellers are more likely to offer RI, and when sellers are more divergent, they are more likely to co-exist in the market.
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
(2022)
Article
Engineering, Industrial
Chang Hwan Lee, Byong-Duk Rhee
Summary: This study provides strategies for retailers' resale business from a manufacturer's perspective and how to incentivize retailers to make decisions for maximizing the benefit of the entire supply chain. With the growth of online shopping, retailers' resale markets have become a method to reduce product returns.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Management
Peter Csoka, Ferenc Illes, Tamas Solymosi
Summary: This study uses cooperative game theory and the Shapley value to address liability problems in which insolvent firms negotiate with creditors. The findings reveal that creditors benefit from increases in their claims and the asset value, while the impact on the firm depends on the configuration of liabilities. Additionally, creditors with larger claims benefit more from increases in the asset value.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Mathematics
Conrado M. Manuel, Daniel Martin
Summary: This paper extends the classical Banzhaf index of power to voting games with players who have weights representing different cooperation or bargaining abilities. The obtained value does not satisfy the classical total power property, but is monotonic in the weights. Three different characterizations of the value are obtained, and it is related to the Owen multilinear extension.
Article
Management
Wei Li, Dongyan Li, Ruimiao Tian, Junfeng Tian
Summary: This study develops game-theoretic models to analyze the sourcing strategies of two competing manufacturers in the presence of customer returns due to product design mismatch. The study finds that the manufacturers' sourcing decisions depend on the relative return from design investment. Higher costs of design efforts and greater horizontal product differentiation expand the range where symmetric outsourcing is an equilibrium, while higher costs related to returns shrink this range.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2022)
Article
Business
Dmitri Kuksov, Chenxi Liao
Summary: This paper explains why an intermediate level of restrictions on speculative resale may be optimal for a firm from the firm's perspective. It shows that consumer willingness to pay in advance and the firm's profit may be maximized with such restrictions. Additionally, the model suggests that consumer ability to resell may harm the firm, supporting the formulation of resale restrictions that only knowledgeable resellers can circumvent.
Article
Construction & Building Technology
Ashtad Javanmardi, Chuanni He, Simon M. Hsiang, S. Alireza Abbasian-Hosseini, Min Liu
Summary: This research aims to determine the appropriate level of effort for each step of the OPDCA cycle in order to improve the workflow reliability of construction projects. Empirical data from a bridge construction project was collected and analyzed to measure the contribution of each OPDCA step to workflow reliability. The results showed that the Observe, Plan, Do, Check, and reAct steps have different contributions to workflow reliability, and there is synergy between the Check step and other steps in the cycle. This methodology has potential implications for engineering managers and can help project managers find a balance between planning and control efforts to improve workflow.
Article
Management
Behrang Manouchehrabadi, Paolo Letizia, George Hendrikse
Summary: The article examines how committee members interact and make project selection decisions under democratic and elite governance structures. It is found that the efficient committee governance structure can be determined by focusing on specific communication between elite and common committee members.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Operations Research & Management Science
A. Chakraborty, Tarun Maiti, B. C. Giri
Summary: This paper investigates the consignment stock policy in a closed-loop supply chain and optimizes a three-level supply chain under a Stackelberg game scenario. The study shows that the supply chain achieves the best outcomes when the manufacturer has more power.
RAIRO-OPERATIONS RESEARCH
(2021)
Article
Economics
Lisha Wang, Jing Chen, Huaming Song
Summary: This paper examines the selling strategy of an internet platform retailer in the presence of customer returns, and identifies the conditions under which the supplier should offer an MBG in the direct channel. It also determines the platform retailer's optimal selling strategy and regions that achieve win-win for both supply chain members.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Multidisciplinary Sciences
Cal R. Abel
Summary: This article presents a generalization of game theory and provides new insights into utility and value. Through the use of quantum formalism, it is proven that classical game theory is a subset of quantum game theory. The equivalence of von Neumann entropy and von Neumann-Morgenstern utility, as well as the representation of value by the Hamiltonian operator, is demonstrated.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2023)
Article
Economics
Dan Li, Jing Chen, Bintong Chen, Yi Liao
Summary: This paper investigates return management strategies in a supply chain by using a game theoretical model. The research explores the optimal strategies for a manufacturer and a retailer facing customer returns. The findings show that different strategies can achieve Pareto improvement for all stakeholders in the supply chain.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Engineering, Industrial
Hamed Jalali, Amir Ansaripoor, Vinay Ramani, Pietro De Giovanni
Summary: This study introduces a game-theoretic model of a closed-loop supply chain involving an Original Equipment Manufacturer (OEM) and a social collector. The research shows that while the social collector is indifferent between coopetition and competition, the OEM strictly prefers coopetition.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Operations Research & Management Science
Pietro De Giovanni, Georges Zaccour
Summary: This paper surveys two crucial issues in Closed-loop Supply Chain (CLSC) research: return functions and coordination mechanisms. Return functions determine the rules for returning end-of-life/use products to a collector, while coordination mechanisms align the objectives of closed-loop supply chain members through the adoption of specific mechanisms, such as contracts. The paper describes the latest developments in these two major CLSC-related fields and suggests future research directions.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Management
Sara Rezaee Vessal, Pietro De Giovanni, Alborz Hassanzadeh
Summary: In the digital age, firms strive to meet the needs of sophisticated consumers by offering leading technologies and superior quality products. However, the complexity of these high-tech products can lead to feature fatigue, which generates frustration among consumers. This study examines the impact of feature fatigue on a manufacturing firm's product-service portfolio design and finds that it drives manufacturers to under invest in quality and change pricing policies. The study also shows that after-sales service cannot fully alleviate the detrimental effect of feature fatigue on a manufacturer's profits.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Business
Pier Giacomo Cardinali, Pietro De Giovanni
Summary: This research examines how firms can achieve responsible digitalization by combining digital technologies and green practices to fulfill corporate social responsibility goals. It identifies key factors for responsible digitalization.
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2022)
Article
Management
Debajyoti Biswas, Hamed Jalali, Amir H. Ansaripoor, Pietro De Giovanni
Summary: This research proposes a game theory model to analyze the trade-offs between traceability and sustainability in the adoption of blockchain technology in global supply chains. The study finds that high distrust levels discourage firms from implementing blockchain, while low distrust levels make it an economically suitable technology with minimal environmental damages. The study also highlights the importance of consumer sensitivity to price and quality in determining the adoption of blockchain technology.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Review
Management
Pietro De Giovanni, Georges Zaccour
Summary: This article reviews dynamic quality models in both single-agent setup and competitive frameworks. The objectives are to provide the reader with the latest developments in this field, identify the boundaries between different quality concepts, and outline a research agenda. The article is not only relevant to active researchers in the field but also to scholars and practitioners in operations management, marketing, industrial engineering, and operations research who are interested in quality dynamics.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Economics
Daniele Morganti, Pietro De Giovanni
Summary: This research examines firms' motivations for offshoring and finds that sustainable initiatives reduce the motivation for offshoring in most cases. Corporate Social Responsibility performance discourages offshoring related to labor cost benefits, energy savings, and host governments' sustainable programs. Domestic governments' sustainable initiatives can support firms that forfeit potential benefits, while suppliers' sustainable initiatives push firms towards offshoring.
RESEARCH IN TRANSPORTATION ECONOMICS
(2022)
Article
Green & Sustainable Science & Technology
Lorenzo Salandri, Giovanni Luca Cascio Rizzo, Alessandra Cozzolino, Pietro De Giovanni
Summary: This research paper investigates the impact of agility on the relationship between green practices and operational performance. The study finds that agility can improve the impact of green practices on operational performance. Specifically, focusing on green practices related to the circular economy, such as recycling, recovery, and reuse, can enhance operational performance. On the other hand, eco-materials and green packaging do not significantly affect operational performance. Moreover, the study suggests that agility can completely reverse the impact of green practices on operational performance. When agility plays a moderating role, recycling, recovery, and reuse have no significant impact, while eco-materials and green packaging have a positive influence on operational performance.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Rocco Furferi, Yary Volpe, Franco Mantellassi
Summary: Textile production has a significant impact on the environment. Developing a circular economy policy can transform used textiles into valuable resources and reduce waste generation.
Article
Green & Sustainable Science & Technology
Giorgia Sammarco, Daniel Ruzza, Behzad Maleki Vishkaei, Pietro De Giovanni
Summary: This study investigates the implications of COVID-19 on companies and explores how they can achieve resilience through performance robustness and digital technology adoption. The findings suggest that the robustness of Sales is particularly important in contributing to restoration time. Additionally, the deployment of technologies such as Blockchain, 3D Printing, and Artificial Intelligence has a positive impact on firms' resilience during the outbreak.
Article
Management
Alessandra Cozzolino, Pietro De Giovanni
Summary: This study examines sustainable practices adopted by Italian firms to enhance packaging circularity and assesses their impact on environmental performance indicators. The findings indicate that firms tend to focus on individual sustainable practices rather than portfolios, with raw material saving and logistics optimization being the most frequently adopted practices. The reuse of packaging contributes to reductions in CO2 emissions, energy usage, and water consumption.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Pietro De Giovanni
Summary: This study examines the sustainability of metaverse technology and its responsible adoption to drive the transition to Industry 5.0. It addresses the potential side effects of digital technologies, such as energy consumption, job displacement, and continuous payments, by providing frameworks to analyze the metaverse from a triple bottom line or ESG perspective, and linking it to business strategies or sustainable development goals. These tools enable responsible implementation, adoption, and management of the metaverse, allowing businesses to address and mitigate any negative impacts.
Article
Business
Behzad Maleki Vishkaei, Pietro De Giovanni
Summary: In this article, the Load-Dependent Vehicle Routing Problem (LDVRP) is studied to develop an optimal delivery plan for vehicles carrying different types of products. The model takes into account various factors such as customer demands, rejection rates of products, time windows, and speed limits. Digital technologies are used to support decision-making due to the dynamic nature of the system. The proposed model is mathematically discussed and solved using a Genetic Algorithm, leading to sustainable solutions balancing environmental, social, and economic aspects.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Management
Sara Romagnoli, Claudia Tarabu', Behzad Maleki Vishkaei, Pietro De Giovanni
Summary: This study investigates how firms can enhance their circular supply chains (CSCs) by adopting sustainable practices and digital technologies. The results show that green suppliers and environmental regulations, as well as transportation management systems (TMS) and the internet of things (IoT), are effective in promoting CSCs. Machine learning (ML) is effective in making green decisions and 3D printing extends product life.
Article
Business
Pietro De Giovanni, Valeria Belvedere, Alberto Grando
Summary: This article examines the impact of Industry 4.0 technologies on operational performance in manufacturing firms. It analyzes the relationships between the technologies, constructs portfolios based on operational targets, and identifies possible operational improvements. The use of Bayesian network and machine-learning algorithms helps guide investment decisions in these technologies.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Review
Management
Vinicius N. Motta, Miguel F. Anjos, Michel Gendreau
Summary: This survey presents a review of optimization approaches for the integration of demand response in power systems planning and highlights important future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Philipp Schulze, Armin Scholl, Rico Walter
Summary: This paper proposes an improved branch-and-bound algorithm, R-SALSA, for solving the simple assembly line balancing problem, which performs well in balancing workloads and providing initial solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Roshan Mahes, Michel Mandjes, Marko Boon, Peter Taylor
Summary: This paper discusses appointment scheduling and presents a phase-type-based approach to handle variations in service times. Numerical experiments with dynamic scheduling demonstrate the benefits of rescheduling.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Oleg S. Pianykh, Sebastian Perez, Chengzhao Richard Zhang
Summary: Efficient scheduling is crucial for optimizing resource allocation and system performance. This study focuses on critical utilization and efficient scheduling in discrete scheduling systems, and compares the results with classical queueing theory.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Hamed Jahani, Babak Abbasi, Jiuh-Biing Sheu, Walid Klibi
Summary: Supply chain network design is a large and growing area of research. This study comprehensively surveys and analyzes articles published from 2008 to 2021 to detect and report financial perspectives in SCND models. The study also identifies research gaps and offers future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Patrick Healy, Nicolas Jozefowiez, Pierre Laroche, Franc Marchetti, Sebastien Martin, Zsuzsanna Roka
Summary: The Connected Max-k-Cut Problem is an extension of the well-known Max-Cut Problem, where the objective is to partition a graph into k connected subgraphs by maximizing the cost of inter-partition edges. The researchers propose a new integer linear program and a branch-and-cut algorithm for this problem, and also use graph isomorphism to structure the instances and facilitate their resolution. Extensive computational experiments show that, if k > 2, their approach outperforms existing algorithms in terms of quality.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Victor J. Espana, Juan Aparicio, Xavier Barber, Miriam Esteve
Summary: This paper introduces a new methodology based on the machine learning technique MARS for estimating production functions that satisfy classical production theory axioms. The new approach overcomes the overfitting problem of DEA through generalized cross-validation and demonstrates better performance in reducing mean squared error and bias compared to DEA and C2NLS methods.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Stefano Nasini, Rabia Nessah
Summary: In this paper, the authors investigate the impact of time flexibility in job scheduling, showing that it can significantly affect operators' ability to solve the problem efficiently. They propose a new methodology based on convex quadratic programming approaches that allows for optimal solutions in large-scale instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin
Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu
Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Bjorn Bokelmann, Stefan Lessmann
Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Congzheng Liu, Wenqi Zhu
Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Laszlo Csato
Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Guowei Dou, Tsan-Ming Choi
Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)