{"title":"Modeling Truck Congestion in Landside Air Cargo Processes","authors":"Mayukh Ghosh;Taha Huzeyfe Aktas;Chintan Amrit;Alex Kuiper;Guido van-Capelleveen;Douwe de-Jongh","doi":"10.1109/TEM.2025.3581853","DOIUrl":"https://doi.org/10.1109/TEM.2025.3581853","url":null,"abstract":"Truck congestion results from temporary capacity overloads that can cause severe delays in logistical processes. These delays directly impact supply chain cost, performance, and environmental emissions. However, existing solutions often focus on scheduled arrivals, which are not feasible in this context. This article presents a novel integrated approach to modeling and mitigating uncoordinated truck congestion in air cargo operations. We develop a hybrid simulation methodology that combines an analytical queuing network model with a detailed discrete event simulation. This allows us to capture the complex and stochastic nature of air cargo processes while efficiently evaluating both infrastructure and operational improvements. Our key innovation is simultaneously considering capacity expansions, fast lanes, and sequencing rules through an integrated perspective. We evaluate multiple scenarios using real operational data and seven performance measures. Our results demonstrate that while infrastructure investments provide the largest reductions in congestion, carefully designed fast lanes and sequencing rules offer substantial benefits at a lower cost. This research provides air cargo managers with data-driven insights to optimize operations, reduce congestion, and improve sustainability through an innovative modeling approach tailored to the unique challenges of uncoordinated truck arrivals in air cargo handling.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2861-2882"},"PeriodicalIF":4.6,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144640945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Greenwashing in the Shadow of Customer Concentration: A Stakeholder Perspective","authors":"Xun Tong","doi":"10.1109/TEM.2025.3579974","DOIUrl":"https://doi.org/10.1109/TEM.2025.3579974","url":null,"abstract":"This study investigates the relationship between customer concentration and greenwashing and further examines how internal governance mechanism (sustainability committees), interorganizational relationship (strategic alliances), and external institutional force (analyst coverage) moderate this relationship. Based on a sample of U.S. publicly traded manufacturing firms, this research reveals that higher customer concentration leads to increased greenwashing in supplier firms. The moderating factors further amplify this main effect. This study integrates theories of stakeholder influence, supply chain governance, and symbolic compliance and contributes to engineering management literature by elucidating how structural dependencies and reputational pressures shape environmental disclosure practices in business-to-business (i.e., buyer-supplier) contexts.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2723-2735"},"PeriodicalIF":4.6,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimizing and Coordinating R&D Investment in a Decentralized Supply Chain Under Tax Incentives","authors":"Wei Xiao;Jiangming Gao;Hong Fu;Ruiyuan Wei","doi":"10.1109/TEM.2025.3581023","DOIUrl":"https://doi.org/10.1109/TEM.2025.3581023","url":null,"abstract":"To improve firms’ enthusiasm for R&D investment, governments worldwide have implemented a series of tax incentives, such as the Super Tax Deduction policy (STD-policy), and the Preferential Income Tax policy (PIT-policy). This article considers a decentralized supply chain, where a supplier conducts R&D activity to improve the quality of its product and then sells it to a retailer who faces a price and quality sensitive demand. We analyze the R&D investment strategy and the corresponding pricing decisions of supply chain players under the two tax incentives. Interestingly, we show that the two tax incentives can not always improve the R&D investment enthusiasm of the supplier. Furthermore, the existence of the PIT-policy poses a technical challenge for coordination, as the wholesale price may not be offset when calculating the total after-tax profits of the two players. We develop a coordination mechanism with three parameters, which has sufficient flexibility to achieve Pareto improvement for both players. We also extend the model by considering continuous product quality, collaborative R&D investment, stochastic market demand, capital-constrained supplier, respectively, and obtain some useful insights.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2768-2782"},"PeriodicalIF":4.6,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring the Evolution of Collaborative Innovation in the Construction and Demolition Waste Management Industry: Evidence From China","authors":"Mengqi Yuan;Haoran Liu;Hui Wang;Yudan Dou;Xianfei Yin","doi":"10.1109/TEM.2025.3580426","DOIUrl":"https://doi.org/10.1109/TEM.2025.3580426","url":null,"abstract":"The construction and demolition waste management industry (CDWMI) plays a strategic role in energy conservation, emission reduction, and the development of a circular economy. Technological innovation, the cornerstone of efficient waste reduction, reuse, and recycling practices, has increasingly attracted global attention. The complexity and uncertainty of CDWMI innovation necessitate collaborative approaches. However, existing research primarily focuses on developing and applying specific technologies, overlooking macroscopic and quantitative measurements of collaborative innovation in the CDWMI. This research evaluates the overall state and dynamics of CDWMI collaborative innovation. First, we collected 1050 cooperative patents and categorized the industry development into distinct stages using technology life cycle analysis. Next, we examined the network structure of collaborative innovation through social network analysis. Finally, we revealed network characteristics and evolutionary processes across different stages from geographical, technological, and organizational dimensions. The results indicate that geographical distance has no significant impact on partnership formation, the technological focus has shifted from recycled building materials to crushing technology, and core enterprises-dominated subgroups have emerged, exhibiting an island effect. This research offers an overview of the actual state of CDWMI collaborative innovation and its underlying causes, marking an advancement over existing research. The findings can assist policymakers in formulating evidence-based strategies to promote industry development.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2978-2994"},"PeriodicalIF":4.6,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144671158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of the Influence of Decision Makers’ Fuzzy Behavioral Patterns Under Power Asymmetry Conflict","authors":"Lu Chen;Witold Pedrycz;Haiyan Xu","doi":"10.1109/TEM.2025.3579959","DOIUrl":"https://doi.org/10.1109/TEM.2025.3579959","url":null,"abstract":"Asymmetric power conflicts arise from resource imbalances among stakeholders, where dominant parties often control situations through rule-setting, while weaker parties face suppression and manipulation. Decision makers (DMs) in such conflicts exhibit bounded rationality and diverse risk attitudes, significantly influencing conflict outcomes. Traditional conflict resolution frameworks, like the graph model for conflict resolution (GMCR), inadequately address power asymmetry and risk attitudes, leading to unrealistic equilibria. This study aims to bridge this gap by integrating risk attitude analysis into the GMCR framework, enhancing its capability to resolve asymmetric power conflicts. Specifically, we introduce a novel approach called triangular fuzzy optimal discrete fitting to assess the risk attitude of DMs amidst asymmetric power conflicts. Additionally, we enhance the principles for categorizing DMs’ risk attitude types, surpassing the original optimal discrete fitting method’s limitations. Moreover, we define the behavioral pattern stability concepts for the leader and the follower in the GMCR framework during power asymmetry conflicts. Applied to a carbon emission reduction conflict case, we find that as a general risk seeker, although the follower will not choose the options that damage the leader’s benefit, it will counter the leader’s sanctions by several risky measures for its own benefit. Our methodology and algorithm not only demonstrate practical application but also assist DMs in identifying conflict resolution strategies across varied behavioral patterns.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2631-2645"},"PeriodicalIF":4.6,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
William Fahey;Gareth Thornton;Eimear O'Brien;Olivia McDermott;Paula Carroll
{"title":"Identifying Meaningful Targets for Complex Lean 4.0 Manufacturing Using Business Analytics: A Case Study in Biopharmaceutical Manufacturing","authors":"William Fahey;Gareth Thornton;Eimear O'Brien;Olivia McDermott;Paula Carroll","doi":"10.1109/TEM.2025.3575692","DOIUrl":"https://doi.org/10.1109/TEM.2025.3575692","url":null,"abstract":"Traditional lean manufacturing (LM) material waste and immaterial (time and effort) reduction targets may not be of significant value for complex manufacturing. A competitive advantage in complex manufacturing lies in the accumulation of process knowledge and leveraging this knowledge to improve performance metrics, such as yield. The study demonstrates how business analytics (BAs) using cross-industry standard process for data mining can extract process knowledge from human experts and historical manufacturing data to provide actionable insights. The study explores how established LM tools, such as standard work and 5s, can be adapted to deploy the s recommendations on the manufacturing floor, leading to Lean 4.0. The proposed approach is validated on a case study in biopharmaceutical manufacturing, resulting in a 6% increase in product yield. The study discusses how the successful combination of BAs and LM can provide useful process knowledge insights in complex manufacturing through an adapted Lean 4.0 framework to target non-traditional performance measures such as yield.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2356-2362"},"PeriodicalIF":4.6,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144367012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Implementation of Blockchain Technology in a Joint Sustainability Development","authors":"Jiho Yoon;Ju Myung Song;Ji-Hung Choi;Srinivas Talluri;Keumah Jung","doi":"10.1109/TEM.2025.3576617","DOIUrl":"https://doi.org/10.1109/TEM.2025.3576617","url":null,"abstract":"Recent advancements in supply chain literature have focused on joint sustainability within the context of supplier-manufacturer relationships, particularly in scenarios in which suppliers may exhibit insufficient sustainability efforts. This study examines the intersection of joint sustainability and advanced digital technology adoption (such as Blockchain) from the fourth industrial revolution (Industry 4.0) perspective. This investigation elucidates the potential effects of implementing such technologies. However, the effects of these technologies on overall channel member profits are not a straightforward outcome due to the currently insufficient digitization levels among the stakeholders. By employing a game theory-based numerical analysis approach, the efficacy of Blockchain technology in enhancing joint sustainability efforts is assessed. We found that implementing Blockchain technology can improve channel members’ profits by enabling them to make better decisions regarding pricing, subsidies, and sustainability efforts in the joint sustainability context. We also found that while the implementation can provide more benefits to the market, individual consumer benefits can be harmed by the supplier’s opportunistic implementation behavior. This research contributes to a deeper understanding of the complexities surrounding joint sustainability development and the integration of Blockchain technology in the evolving landscape of digital supply chain innovation.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2700-2722"},"PeriodicalIF":4.6,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Technology Sharing Strategies for New Product Diffusion With Consideration of Firms’ Risk Aversion","authors":"Weijun Zeng;Minqiang Li","doi":"10.1109/TEM.2025.3578797","DOIUrl":"https://doi.org/10.1109/TEM.2025.3578797","url":null,"abstract":"This article examines the effects of risk aversion on the incentive for an incumbent to share its new technology with a potential entrant. While competition emerges with technology sharing, the involvement of additional firm in the development of the new-technology-based products increases the lowest willingness to pay (LWTP) of consumers for the products. A game-theoretic model is developed to analyze the two-firm competition. Results show that asymmetric risk preferences of firms can lead to their asymmetric competitive advantages (or disadvantages), which increase (decrease) the quantity of products offered by the less risk-averse firm (the more risk-averse firm) under high product substitutability. Generally, the more risk-averse the incumbent is, the more likely it is to freely share its technology; however, if competitive disadvantage exists for the entrant, then the less risk-averse incumbent is more likely to share. Moreover, the incumbent earns more (less) from licensing than from wholesaling when it is substantially less (more) risk averse than the entrant. Interestingly, while the enhancement in the consumers’ LWTP generally promotes technology sharing, it may restrain the lowly risk-averse incumbent from wholesaling to the highly risk-averse entrant in that the first-mover advantage of the entrant can mitigate its competitive disadvantage.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2569-2582"},"PeriodicalIF":4.6,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data-Driven Process Management for High-Quality Hip Joint Implants—A Case Study in Investment Casting","authors":"Janak Suthar;Jinil Persis","doi":"10.1109/TEM.2025.3575024","DOIUrl":"https://doi.org/10.1109/TEM.2025.3575024","url":null,"abstract":"Quality 4.0 aims to make zero-defect manufacturing possible across industries through automating and digitizing quality functions. Casting companies suffer from the rejection of cast components in the post production quality checks, resulting in low profitability. While meeting the clients’ specifications is vital, casting companies should upgrade their production processes digitally to compete in global markets. This article proposes a Quality 4.0 deployment framework for investment casting companies. We adopt a case-based research methodology, and the case company makes metallic hip joint implants in an investment casting plant. We characterize each defect type and mechanical property, exploring various machine learning algorithms, and the best-fit models are those with high predictive performance (88% accurate in predicting defects and a root mean squared error of 0.09 in predicting mechanical properties). We perform within-case analysis to quantify the influence of potential causal variables and show the causal relationships among the implants’ quality characteristics. Furthermore, the proposed quality management system with real-time process sensing capability involves a repetitive quality inferencing scheme to predict the quality of the items being cast, which enables process regulation and further leads to the production of zero-defective castings. Hence, this case study fortifies the causal relationship of data-driven process management with the process outcomes of zero-defective casting of parts. The proposed Quality 4.0 theoretical framework, hence, emphasizes the feedback intervention and self-regulation capabilities of the casting companies for effective process management and encourages future researchers to investigate the role of data-driven process management in enhancing customer satisfaction and driving operational performance.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2504-2520"},"PeriodicalIF":4.6,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benjamin Müßigmann;Heiko von der Gracht;Evi Hartmann
{"title":"Foresight Scenarios: The Future Impact of Technology in Freight Forwarding, an International Delphi Study","authors":"Benjamin Müßigmann;Heiko von der Gracht;Evi Hartmann","doi":"10.1109/TEM.2023.3264112","DOIUrl":"https://doi.org/10.1109/TEM.2023.3264112","url":null,"abstract":"The freight forwarding (FF) industry plays a key role in running global supply chains, with a sales revenue of $180.66 billion in 2021. Digitization in supply chain management, a thriving topic in the past few years, has been accelerated by the challenges of COVID-19 and presents both challenges and opportunities for the FF industry which requires freight forwarders to adapt. Since technological foresight studies for the FF space are scarce, the specific expected impacts of digitization in FF remain unrevealed today. The aim of this study is to examine upcoming changes in the FF industry expected by FF professionals and academics over the next 30 years against the background of current technological developments and to identify related resilience measures for FF organizations. Overall, 84 international experts shared their estimates in a Delphi survey. The results are clustered into four clusters that provide an outlook for the future of FF. The results show that FF organizations should adapt to developing customer expectations, a change in the FF profile due to new requirements and a change of vision for the development of human resources. Still, experts see a high relevance for FF services in the future despite all technological developments.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"308-325"},"PeriodicalIF":4.6,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144264229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}