Computers & Industrial Engineering最新文献

{"title":"Pricing and coordination strategy for new energy vehicles to dominate the automotive market under the dual credit policy","authors":"Shuaicheng Lin,&nbsp;Guitao Zhang","doi":"10.1016/j.cie.2025.111360","DOIUrl":"10.1016/j.cie.2025.111360","url":null,"abstract":"<div><div>The Chinese government has implemented the dual credit policy (DCP) to promote new energy vehicles (NEVs). In the future, NEVs will dominate the automotive market. To explore the impact of DCP expansion and the dynamic market dominance (power structures) of different vehicle types on the pricing of fuel vehicles (FVs) and NEVs, we constructed an automotive supply chain consisting of NEVs manufacturer, FVs manufacturer, and dealer. Firstly, demand functions for differentiated automotive products were established based on consumer utility theory. Three power structure modes were developed to reflect NEVs gradually gaining market dominance, providing optimal pricing strategies for the automotive supply chain under DCP. Subsequently, sensitivity analysis was conducted on key parameters of DCP, and comparative analyses were performed on automotive companies’ pricing, demand, and profits across different modes. Finally, two-part tariff contract was designed to coordinate and achieve Pareto improvement in the automotive supply chain. We have found some noteworthy conclusions: First, under the DCP expansion, FVs manufacturers face profit squeeze while NEVs manufacturers benefit. Dealers’ profits exhibit weak volatility due to differentiated profit trends among upstream members. Counterintuitively, excessively high NEVs proportion requirements would trigger negative effects across the entire supply chain (decreased by 5 %). Second, the experience value versus loss value for consumers purchasing NEVs constitutes the core pricing element for automotive companies. Manufacturers can foster virtuous competition by enhancing quality to drive consumer utility improvement. Third, NEVs capturing the automotive market is accompanied by price spillover effects, with demand and profits declining. Therefore, governments should coordinate ecosystem development between NEVs and FVs during promotion. Finally, competitive supply chains can achieve Pareto equilibrium through two-part tariff contract, where members’ ultimate returns depend on their bargaining power. The research findings provide decision-making support for automakers under the expansion of DCP and the market penetration of NEVs, while offering theoretical recommendations for governments to optimize policy formulation.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"208 ","pages":"Article 111360"},"PeriodicalIF":6.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ALNS algorithm for load handling and AGV routing with trolleys","authors":"Reşide Özkır ,&nbsp;Elvin Coban","doi":"10.1016/j.cie.2025.111334","DOIUrl":"10.1016/j.cie.2025.111334","url":null,"abstract":"<div><div>This study addresses a multi-load automated guided vehicle (AGV) routing problem, motivated by an industrial collaboration with Vestel Electronics, a global leader in consumer electronics and white goods manufacturing. The problem involves optimizing the routing and load handling of a homogeneous AGV fleet equipped with modular trolley attachments. While trolleys enhance load capacity, they also increase travel time proportionally to the number of attachments. Distinct from existing literature, this study integrates key complexities, including the impact of trolley attachments on travel time, time windows for transport requests, and penalties for deviations from these time windows, alongside minimizing total travel distance. To solve this problem, we develop a mixed-integer linear programming (MILP) model and propose an adaptive large neighborhood search (ALNS) heuristic, incorporating fourteen destroy-and-repair operators. The ALNS algorithm significantly outperforms both the MILP model and the rule-of-thumb approach currently used in practice. Through extensive computational experiments, including a real-life case study, we show that the ALNS algorithm is robust to the size of the instances and performs efficiently. Moreover, the contextual bandit-enhanced ALNS achieves superior solution quality, particularly when given sufficient iterations, and contributes to a more intelligent and adaptive search process. We also conduct a real-life case study on Vestel Electronics and conclude that Vestel Electronics can reduce its cost to 1/48th of its current value.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"208 ","pages":"Article 111334"},"PeriodicalIF":6.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vertical cooperation strategy of ports and shipping companies considering emission reduction","authors":"Lingpeng Meng,&nbsp;Haibin Qu,&nbsp;Xudong Wang,&nbsp;Wei Yan","doi":"10.1016/j.cie.2025.111357","DOIUrl":"10.1016/j.cie.2025.111357","url":null,"abstract":"<div><div>Carbon taxation policies has raised higher requirements for emissions reduction in the maritime supply chain. However, the insufficient momentum in emissions reduction caused by financial constraints and unclear reduction strategies has greatly impacted the effectiveness of emissions reduction efforts. This study considers a second-tier maritime supply chain under the carbon taxation regulation. A three-stage Stackelberg game model is constructed to analyze the investment strategies for vertical cooperative emission reduction in three scenarios. The research findings reveal that investment in information-sharing cooperative ports yields the lowest carbon emissions. Shipping companies achieves the highest profit by investing in information-sharing cooperative ports when the unit variable cost does not exceed the threshold (<span><math><mrow><msub><mi>c</mi><mi>e</mi></msub><mo>=</mo><mn>0.3</mn></mrow></math></span>). Otherwise, the highest profit is achieved by not investing. The information sharing discount level exhibits convex curve, inverse and positive relationship with the profit of information-sharing cooperative ports, non-cooperative ports, and shipping companies, respectively.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"207 ","pages":"Article 111357"},"PeriodicalIF":6.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How to develop recycling strategies for capital-constrained remanufacturer under carbon cap-and-trade mechanism?","authors":"Lin Qin ,&nbsp;Weida Chen ,&nbsp;Junfei Ding","doi":"10.1016/j.cie.2025.111275","DOIUrl":"10.1016/j.cie.2025.111275","url":null,"abstract":"<div><div>Previously, governments have implemented recycling regulations, such as mandatory take-back target, to compel corporations to collect used products. In recent years, however, there has been a shift toward implementing carbon cap-and-trade policy to drive companies toward environmental objectives. This transition prompts a critical question: Is it still necessary for governments to enforce stricter recycling legislation alongside a carbon cap-and-trade policy? Additionally, how can capital-constrained companies effectively optimize production decisions under these combined regulations and policies? To address these issues, we analyze manufacturing, collection, and remanufacturing strategies within capital-constrained and financing models under carbon cap-and-trade policy and varying regulation levels: no regulation, collection-only regulation, and dual regulations. Our findings reveal that: (1) Environmental performance varies significantly depending on carbon prices and regulation levels. Specifically, high carbon prices without regulations benefit the environment, whereas low carbon prices combined with strict regulations harm it. (2) Stricter regulations increase the volume of new product but decrease the volume of remanufactured product, while also reducing collection and remanufacturing efficiency. (3) Bank financing can enhance production quantities and profits compared to the capital-constrained scenario. These insights not only guide governments in designing effective policies but also enable companies to make strategic production decisions.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"208 ","pages":"Article 111275"},"PeriodicalIF":6.7,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reverse logistics for electric vehicle batteries: A systematic review","authors":"MD Mohiuddin ,&nbsp;Lihui Bai ,&nbsp;Weiwei Mo","doi":"10.1016/j.cie.2025.111327","DOIUrl":"10.1016/j.cie.2025.111327","url":null,"abstract":"<div><div>The electric vehicle (EV) market has expanded rapidly over the last decade, raising concerns about the sustainable supply of raw materials for EV batteries (EVBs) worldwide. Therefore, establishing an effective and efficient reverse logistics system for EVBs is essential. This paper has two main objectives. First, we present a comprehensive literature review on reverse logistics for EVBs, synthesizing findings from 165 articles published between January 2010 and March 2025. Second, we identify future directions by addressing specific gaps, real-world challenges, and research questions within the reverse logistics system for EVBs. In particular, this review categorizes the literature into three main areas: (1) manufacturing-oriented end-of-life (EoL) EVB processes, including disassembling, repurposing, remanufacturing, and recycling; (2) logistics-oriented operations, covering collection, transportation, and facility location; and (3) assessment-oriented activities, including life cycle assessment (LCA), and policy &amp; regulation. Through a gap analysis, we propose future research directions that are expected to grow in the next decade, including understanding economic dynamics among supply chain partners in EVB reverse logistics system, studying the critical material supply uncertainty, EoL EVB stockpile prediction, planning and modeling on facility location and transportation, developing a resilient supply chain for EoL EVBs, and integrating LCA in the design of a reverse logistics system for EVBs. Overall, this study provides a systematic review of the critical areas of the reverse logistics system for EVBs, identifies gaps requiring diverse industrial engineering expertise, and outlines promising research directions in logistics, circular economy, energy, and sustainable systems related to EoL EVBs.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"208 ","pages":"Article 111327"},"PeriodicalIF":6.7,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing the environmental value transmission chain of green agricultural products: An evolutionary game analysis with livestream e-commerce","authors":"Jie Jin ,&nbsp;Dongzhi Zhang ,&nbsp;Yu Hao","doi":"10.1016/j.cie.2025.111359","DOIUrl":"10.1016/j.cie.2025.111359","url":null,"abstract":"<div><div>The rise of livestream e-commerce provides new perspectives and possibilities for developing and promoting green consumption. This paper focuses on problems and obstacles in realizing the environmental value of green agricultural products, given the availability of livestream e-commerce. First, based on service scenario theory and using the value chain analysis method, the study analyzes the path associated with environmental value transmission in the livestream e-commerce supply chain. Based on this, evolutionary game theory is applied to depict interactions among three major participants in realizing environmental value: the supervising government department, the livestream e-commerce platform, and the consumer. By combining the system dynamics simulation method with the concept of dynamic evolution, this paper solves the established model and further analyzes the evolutionary path of the equilibrium strategy solution. The results show the following. (1) Supervision from government departments is key for realizing environmental value. The pressure of public opinion and oversight costs are important factors affecting the regulatory strategic choices for government departments. (2) Compared with simply increasing the penalties levied on livestream e-commerce platforms, the information interactions between government departments and the public help improve oversight effectiveness. (3) Targeted consumption incentives encourage consumers to pay a green premium. (4) The combination of regulation and incentives, and the linkage between the government, the public, and the market help create a green consumption atmosphere and encourage improvements in the environmental value transmission chain. The research results can help enterprises choose appropriate marketing strategies for green agricultural products in live streaming e-commerce scenarios, and provide policy recommendations for the government in terms of smart supervision and inclusive mechanisms for supporting green consumption.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"207 ","pages":"Article 111359"},"PeriodicalIF":6.7,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the dynamic scheduling problem of flexible job batch shop based on parallel proximal policy optimization algorithm","authors":"Jun Yan ,&nbsp;Linjing Wang ,&nbsp;Jiming Zha ,&nbsp;Tao Zhang ,&nbsp;Yueze Zhang ,&nbsp;Zhifeng Liu","doi":"10.1016/j.cie.2025.111362","DOIUrl":"10.1016/j.cie.2025.111362","url":null,"abstract":"<div><div>Flexible job batch shop scheduling problem (FJBSP) is widely used in many fields of manufacturing workshops. However, sudden disturbances such as equipment failure and order insertion seriously affect the production and delivery of flexible batch scheduling. According to the dynamic scheduling requirements of FJBSP, a workshop production environment state model considering machine, job and processing status is proposed to reflect the production process. A parallel proximal policy optimization (P-PPO) deep reinforcement learning algorithm and rescheduling strategy are proposed. Based on modeling and parallel algorithm, the combined effects of 12 kinds of action rules are compared and analyzed. Three action combination strategies for parallel coordination of P-PPO are proposed to improve the effect of dynamic scheduling decision. Finally, data experiments are carried out from the aspects of parameter selection, comparative experiment, generalization experiment. And the dynamic scheduling case verification was carried out under the sudden disturbance of machine failure and order insertion. The experimental results show that, the rescheduling ability of P-PPO training agent in flexible job shop batch scheduling problem with high quality and fast response. The proposed model and P-PPO algorithm can effectively solve the FJBSP dynamic scheduling problem.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"207 ","pages":"Article 111362"},"PeriodicalIF":6.7,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated optimization of dynamic flexible job shop scheduling with AGV breakdowns and multi-site equipment maintenance on the demand side","authors":"Liuran Lu ,&nbsp;Qianwang Deng ,&nbsp;Qiang Luo ,&nbsp;Yangyang Hu ,&nbsp;Jingxing Zhang ,&nbsp;Kaidan Deng","doi":"10.1016/j.cie.2025.111361","DOIUrl":"10.1016/j.cie.2025.111361","url":null,"abstract":"<div><div>Classical flexible job shop scheduling problems primarily emphasize machine flexibility and are usually conducted in static environments. However, in actual manufacturing processes, automated guided vehicles (AGVs) are often used to transport materials within the workshops and may break down randomly. Previous studies that consider dynamic events focus on the impact of disruptions on the manufacturer’s production schedule, but changes in the production schedule also further affect demand-side decisions. Therefore, we study a dynamic flexible job shop scheduling problem that considers AGV breakdowns and multi-site equipment maintenance decisions on the demand side (DFJSPT-EM). To describe the problem mathematically, a mixed integer linear programming (MILP) model is established with the objectives of minimizing the total energy consumption of the manufacturer and maximizing the total satisfaction of the demander. A hybrid rescheduling method is developed to address AGV breakdowns. Based on these, a two-stage hybrid memetic algorithm (THMA) is presented to tackle the DFJSPT-EM, incorporating some effective operators and a novel neighborhood search method in the first stage, along with energy-saving and satisfaction-improvement strategies developed in the second stage. Through comprehensive experiments based on 46 newly formulated benchmark instances, the results demonstrate that THMA outperforms four well-known comparison algorithms over 80% instances in terms of diversity, convergence and uniformity, and shows significant advancements in handling the DFJSPT-EM problem compared to existing methods.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"208 ","pages":"Article 111361"},"PeriodicalIF":6.7,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk assessment of urban underground logistics system operations in built-up areas: A hybrid fuzzy Bayesian network and machine learning approach","authors":"Qing Liu ,&nbsp;Wanjie Hu ,&nbsp;Kai Yang ,&nbsp;Jianping Yang","doi":"10.1016/j.cie.2025.111295","DOIUrl":"10.1016/j.cie.2025.111295","url":null,"abstract":"<div><div>As urbanization accelerates, underground logistics systems (ULS) have emerged as a key development direction for urban logistics, offering notable benefits for reducing congestion and fostering sustainability. However, ULS’ s advanced automation and complex infrastructure introduce evolving operational risks that require systematic evaluation. This study presents a hybrid risk assessment framework integrating fuzzy Bayesian networks (BN) with machine learning to overcome traditional methods’ shortcomings in uncertainty management and data-driven analysis. First, risk factors for different ULS construction modes are identified through expert knowledge and fault tree analysis. Second, a BN model is developed, incorporating fuzzy theory to predict risk probabilities and propagation paths. Third, a random forest model combined with Shapley value analysis was employed to identify critical risk nodes and quantify their contributions. This study validates the ULS of Xiong’ an New Area, China, as a case study. Results show operational risk probabilities of 20% for the purpose-built pipeline mode and 42% for the co-built with utility tunnel mode, primarily due to facility adaptability risks. Basic operating equipment emerged as the principal risk source, accounting for 11% of total risk in the purpose-built pipeline mode and 27% in the co-built with utility tunnel mode, while individual critical nodes’ influence on overall risk varied. These findings strengthen the theoretical foundations of ULS risk analysis and provide planners and decision-makers with a decision-support tool to enhance safety, optimize resource allocation, and facilitate the scientific utilization of subterranean space.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"207 ","pages":"Article 111295"},"PeriodicalIF":6.7,"publicationDate":"2025-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review on cognitive workload for industry 5.0","authors":"Micaela Vitti ,&nbsp;Antonio Padovano ,&nbsp;Francesco Facchini","doi":"10.1016/j.cie.2025.111350","DOIUrl":"10.1016/j.cie.2025.111350","url":null,"abstract":"<div><div>In the evolving landscape of Industry 5.0 (I5.0), where digital technologies are increasingly integrated into industrial processes, understanding cognitive workload (CWL) during maintenance tasks has become critical. CWL significantly influences an operator’s performance, safety, and overall well-being, especially in complex and demanding environments. The introduction of cognitive and assistive technologies, such as augmented reality (AR), virtual reality (VR), and artificial intelligence, holds the potential for reducing cognitive strain. However, existing research largely focuses on post-hoc CWL assessment rather than on integrating CWL considerations into the design phase of maintenance systems, according to an I5.0 perspective. Additionally, methodologies for accurately measuring and modelling CWL in real-time remain underdeveloped. In this context, assessing the operator’s CWL can be a key factor in evaluating design and management alternatives for industrial systems, aiming to ensure the operator’s well-being. Reducing CWL should, therefore, be a criterion for evaluating maintenance systems, including task execution methods and how support information is presented.</div><div>This study addresses these gaps by investigating, through a systematic literature review, the existing methods to evaluate operators’ CWL and explores how they can be integrated into managing maintenance operations in the I5.0 context, with a specific focus on scenarios where digital technologies provide support. The identified CWL assessment approaches were categorised into three primary areas: CWL as a factor influencing the operator’s performance, CWL as a measure for assessing the effectiveness of solutions, and CWL as a design driver. The findings reveal that AR and VR applications are widely adopted for supporting maintenance activities, but there are no clear results on their potential to reduce the operator’s CWL. Moreover, results indicate that practical methodologies for real-time CWL monitoring and predictive modelling are lacking. We highlight the need for robust models to minimize CWL based on task and environmental factors, aligning with I5.0′s emphasis on human-centred design.</div><div>The study contributes to the body of knowledge by identifying key research gaps and proposing a structured framework for CWL assessment in industrial systems development. It emphasizes the development of integrative methodologies for CWL assessment that are based on both subjective and physiological measurements. It moreover offers practical insights for designing maintenance systems that prioritize operator cognitive well-being alongside performance efficiency.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"207 ","pages":"Article 111350"},"PeriodicalIF":6.7,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144513584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}