Computers & Industrial Engineering最新文献

{"title":"Dynamic unequal area facility layout design under stochastic material flow, re-arrangement cost, and change period","authors":"Mohammad Firouz ,&nbsp;Afshin Oroojlooy-Jadid ,&nbsp;Ardavan Asef-Vaziri","doi":"10.1016/j.cie.2025.110971","DOIUrl":"10.1016/j.cie.2025.110971","url":null,"abstract":"<div><div>In this paper, we present a novel approach to stochastic dynamic unequal area facility layout design while considering uncertainty in material flow, rearrangement costs, and change periods. Our method accounts for dynamic changes by adding new workcenters at stochastic time periods, material flows, and rearrangement costs. By leveraging slicing tree representations, a hybrid genetic algorithm, and a simulation-based evaluation framework, our approach effectively balances material handling efficiency and rearrangement costs, ensuring resilient layouts under stochastic scenarios. Our approach explicitly incorporates probabilistic modeling of material flows, dynamic cost functions, and stochastic event-driven layout adjustments in a unified framework. Computational experiments validate the effectiveness of our method, demonstrating significant improvements in cost optimization and adaptability. Our study reveals that deterministic solutions may not remain optimal under stochastic conditions, emphasizing the need for a range of material flow scenarios in the deterministic model. The results highlight the practical implications of our approach, enabling industries to reduce disruptions and operational costs while maintaining efficiency.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110971"},"PeriodicalIF":6.7,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474815","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":"An opinion evolution-based consensus-reaching model for large-scale group decision-making: Incorporating implicit trust and individual influence","authors":"Pei Wang ,&nbsp;Jing Zhang ,&nbsp;Youwu Lin ,&nbsp;Shuai Huang ,&nbsp;Xuanhua Xu","doi":"10.1016/j.cie.2025.110974","DOIUrl":"10.1016/j.cie.2025.110974","url":null,"abstract":"<div><div>Large-scale group decision-making (LGDM) often involves complex challenges, such as effectively clustering decision-makers, modeling asymmetric trust relationships, and balancing the influence of leaders and members to achieve consensus. This study proposes a novel opinion evolution-based consensus-reaching model to address these issues. A convex clustering method is developed, combining the strengths of K-means and hierarchical clustering to enable adaptive subgroup formation and automatic determination of the optimal number of clusters. A new asymmetric implicit trust measure is developed by combining partnership dynamics with the Pearson Correlation Coefficient, providing a realistic representation of trust relationships. Furthermore, the model identifies leaders and members within each subgroup, quantifies their mutual influence through dynamic weights, and incorporates these dynamics into an improved Friedkin–Johnsen framework to allow for iterative preference adjustments and alignment toward consensus. The feasibility and validity of the proposed method are demonstrated through a case study and sensitivity analysis, highlighting its adaptability and effectiveness. Simulation experiments further validate the model, showing superior performance compared to existing methods.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110974"},"PeriodicalIF":6.7,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487677","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":"Trade-offs in ready-mixed concrete truck scheduling considering stochastic congestion: A novel multi-objective model driven by strength Pareto evolutionary algorithm","authors":"Wenshun Wang ,&nbsp;Yuguo Zhang ,&nbsp;Lingyun Mi ,&nbsp;Qinglu Guo ,&nbsp;Lijie Qiao ,&nbsp;Li Wang ,&nbsp;Min Tao ,&nbsp;Jingqun Ma","doi":"10.1016/j.cie.2025.111000","DOIUrl":"10.1016/j.cie.2025.111000","url":null,"abstract":"<div><div>Ready-mixed concrete (RMC) is extensively used in the construction industry due to its high quality and efficiency. However, as market competition intensifies, RMC companies are under increasing pressure to improve their competitiveness while maintaining strong customer relationships. Efficiently dispatching trucks and optimizing RMC delivery to meet both customer demands and company needs has become a significant challenge for RMC companies’ development. To this end, this study first conducts a demand analysis of RMC truck scheduling from both supply and demand perspectives and identifies five key scheduling objectives: operational cost, load rate, load balancing, time windows, and continuity of concrete pouring. Secondly, objective dimensionality reduction is achieved by constructing composite load and penalty functions and integrating a congestion time function to simulate traffic congestion scenarios. On this basis, a tri-objective optimization model that balances total cost, composite load, and customer satisfaction is constructed, which reduces the complexity of model computation without compromising the integrity of objective constraints. Then, the study innovatively designs decision variables for truck numbers and departure intervals and employs the strength Pareto evolutionary algorithm based on reference direction (SPEA/R) to solve the model. Additionally, the mutation operation was improved by introducing traffic congestion variables and dynamically adjusting departure intervals to mitigate the impact of congestion on scheduling. This facilitates the refinement of RMC truck scheduling in terms of both truck configuration and dispatch planning under traffic congestion conditions. Finally, a Chinese RMC company case study was conducted to validate the effectiveness of the proposed model. Based on the findings, a two-dimensional RMC truck scheduling strategy matrix was developed, offering diverse guidance and recommendations for RMC factories to formulate truck scheduling plans that meet varying demands.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111000"},"PeriodicalIF":6.7,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509544","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":"Competing manufacturers blockchain technology adoption strategies for carbon emission misrepresentation under cap-and-trade regulation","authors":"Wenxue Ran,&nbsp;Yiting Duan","doi":"10.1016/j.cie.2025.110960","DOIUrl":"10.1016/j.cie.2025.110960","url":null,"abstract":"<div><div>Under cap-and-trade regulation, manufacturers may misrepresent their carbon emissions to gain more profits. Blockchain technology can enhance the transparency and credibility of information, making it a suitable solution for addressing such misrepresentation. To investigate the impacts of misrepresentation of carbon emissions and blockchain technology on the production process among competing manufacturers, we develop three supply chain models based on various blockchain adoption strategies and analyze the equilibrium decisions for each member, as well as the cost threshold for adopting blockchain technology. The results indicate that both manufacturers tend to moderately overstate carbon emissions to enhance profitability, but it ultimately impedes the long-term sustainable development of the supply chain. Furthermore, adopting blockchain technology can significantly enhance the profitability, consumer surplus, and social welfare of the supply chain. As more manufacturers adopt blockchain technology, these benefits are further amplified. However, the adoption of blockchain does not consistently lead to favorable outcomes. An increase in product demand will inevitably lead to a rise in total carbon emissions. Meanwhile, blockchain technology will only be adopted by manufacturers if its operational costs fall within a specific range, which is approximately 12% of their profit levels. Manufactures should collaborate with reputable and highly skilled blockchain companies, while governments should also provide appropriate subsidies to support manufacturers. Moreover, implementing cap-and-trade regulation and increasing the trading price of unit carbon emission permit can serve as incentives for manufacturers to invest in green technology aimed at reducing total carbon emissions.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110960"},"PeriodicalIF":6.7,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512386","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 sustainable multiobjective multi-site resource-constrained project scheduling problem","authors":"Fatemeh Dashti ,&nbsp;Ali Fallahi ,&nbsp;Hadi Mokhtari","doi":"10.1016/j.cie.2025.110968","DOIUrl":"10.1016/j.cie.2025.110968","url":null,"abstract":"<div><div>Project scheduling stands as a critical component in managing tasks within projects to optimize resource utilization and ensure efficient project execution. While traditional approaches to the resource-constrained project scheduling problem have primarily focused on single-site contexts, modern project environments often span multiple sites, necessitating the development of models that can accommodate this complexity. On the other hands, the growing importance of social sustainability in project planning underscores the need to address issues such as equitable workload distribution across project sites. This paper introduces a novel sustainable multiobjective multi-site resource-constrained project scheduling problem that integrates multi-site scheduling considerations with the principles of social sustainability. The problem formulation aims to minimize both project makespan and the deviation between maximum and minimum working loads across project sites. Additionally, three types of renewable, non-renewable, and doubly-constrained resources are simultaneously addressed in the problem for the first time to improve its realism. To solve this problem, an interactive fuzzy TH approach is proposed as an exact approach to handle the conflict between the objectives. In the second step, three well-known multiobjective metaheuristic algorithms, including NSGA-II, MOPSO, and SPEA-II, are designed and implemented to address the complexity of the problem in large-sized projects. An efficient repair algorithm is designed to ensure the feasibility of solutions and handle the problems’ constraints in the search procedure. Taguchi’s design of experiments is proposed to calibrate the input parameters of algorithms and improve their efficiency. Numerical examples from the literature are utilized to illustrate the efficacy of the proposed model and solution methodology. In this direction, the one-way analysis of variance and Kruskal–Wallis parametric and non-parametric statistical tests are also used to provide a more systematic comparison of results. In general, the results reveal the better performance of NSGA-II in terms of the quality of solutions, while SPEA-II outperforms in terms of CPU time. Finally, insights for project managers are discussed and the paper is concluded by suggesting some directions for future research.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110968"},"PeriodicalIF":6.7,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474814","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":"Competition and cooperation between green and non-green supply chains under Government’s subsidy and carbon tax to consumers","authors":"Wenfang Shang ,&nbsp;Zaixin Han ,&nbsp;Wei Wei ,&nbsp;Tao Li","doi":"10.1016/j.cie.2025.110957","DOIUrl":"10.1016/j.cie.2025.110957","url":null,"abstract":"<div><div>Consumers don’t always opt for green products. The government thus needs to provide a subsidy for consumers purchasing green products and impose a carbon tax penalty on those purchasing non-green products so as to foster the growth of green supply chains (GSCs). However, discussions regarding the effects of such interventions must take into account the competitive and cooperation mode between green and non-green supply chains (NGSC). This paper aids in identifying which mode is more conducive to the government’s intervention playing a positive role. It proposes a novel model focusing on two independent competitive supply chains: a GSC and a NGSC. In practice, the standard of green products is often determined by government and industry competition, rather than decisions made by green manufacturers themselves. Therefore, this paper regards it as an exogenous variable and considers how consumers’ acceptance for green products influences on consumers’ own utility, market demand, and supply chain members’ profits in different competition and cooperation modes. Results show that higher green costs will drive up the wholesale and retail prices of both green and non-green products. Subsidy and carbon tax will increase the wholesale and retail prices of green products, while reducing those of non-green products. The improvement of green standards will inevitably lead to an increase in the wholesale and retail prices of green products, but its impact on the pricing of non-green products depends on the quantitative relationship between the cost of unit greenness and the intensity of subsidies. The impact of the industrial standard for non-green products depends on the intensity comparison between subsidies and carbon taxes. The more consumers can accept green products, the more the wholesale and retail prices of green and non-green products have to be adjusted downward. When consumer acceptance exceeds a certain threshold, the profit of the green manufacturer can surpass that of the non-green manufacturer, and then subsidies can be appropriately reduced. Both retailer cooperation and manufacturer cooperation can make the total profit of the entire supply chain competition system greater than that of the completely independent competition state, but when both supply chains enter the manufacturer-retailer cooperation mode, the total profit is not as good as that of the completely independent state, which means that centralized decision-making in the supply chain is not always superior to decentralized decision-making.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110957"},"PeriodicalIF":6.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509545","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":"Competitive strategies for differentiated services of power trading platforms under the situation of release of electricity selling market","authors":"Kong Lingcheng ,&nbsp;Lu Kaiyu ,&nbsp;Xie Jiqing ,&nbsp;Zhu Zhenning","doi":"10.1016/j.cie.2025.110956","DOIUrl":"10.1016/j.cie.2025.110956","url":null,"abstract":"<div><div>With the gradual liberalization of the electricity selling market in China, an increasing number of power trading entities have emerged. Competition in the electricity selling market is highlighted, and introducing new challenges related to price bidding has become a new problem in power marketization. Following the latest reforms in the electricity selling market, an increasing number of power trading platforms have appeared in the electricity selling market, and the differentiated competition of service quality has become an essential means for these platforms to obtain users. Therefore, this paper studies the decision-making for service competition among power trading platforms under different power market structures such as monopoly, oligopoly and competitive market, and explores the optimal differentiation strategy for power trading platforms. The results show that: (1) Under different electricity selling market structures, the service quality level and service charge formation of the power trading platforms are related to the service input coefficient of the platform, and the changing relationship between these variables is also significantly affected by the market concentration degree in the competitive market; (2) The profit of the power trading platform is closely related to the level of its service quality, showing notable variations across different market structures; (3) Platform service charges are also related to the degree of differentiation of service quality and the degree of mismatch of users’ service expectations under the competition of platforms. Platforms offering high-quality services are more sensitive to changes in service quality differentiation compared to those offering lower quality services. This study can not only enrich the power market competition theory and provide theoretical reference for the competitive decision-making of power trading platform, but also provide theoretical guidance for developing high-end competition in the electricity selling market in the process of China’s electricity selling market reform.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110956"},"PeriodicalIF":6.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520267","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":"Intelligent managements of the plug-in electric vehicles and pumped storage power station integrated with the dynamic economic emission dispatch","authors":"Dexuan Zou ,&nbsp;Lejie Ma ,&nbsp;Fan Li ,&nbsp;Haibin Ouyang ,&nbsp;Yingying Shao","doi":"10.1016/j.cie.2025.110969","DOIUrl":"10.1016/j.cie.2025.110969","url":null,"abstract":"<div><div>This paper investigates an enhanced version of the dynamic economic emission dispatch with the charging/discharging of PEVs (DEED-PEV). Based on the limited charging stations and rated charging/discharging power for the PEVs, the charging/discharging power of the PEVs should comply with the capacity limits and be formulated as the variables of DEED-PEV. To avoid large fluctuations of power loads and guarantee steady operation of the power system, a load smooth function is formulated for the accumulated loads. In addition, the stored potential energies in the upstream reservoir are formulated as the variables of DEED-PEV to regulate the electricity outputs/inputs of the pumped storage power station. The electricity of the power grid can be utilized in a more efficient way. A NSGA-III method based on triangular distribution (NSGA-III-TD) and a constraint handling strategy (CHS) are proposed to tackle this issue. The former updates solutions according to triangular distribution in crossover, and the latter repairs infeasible solutions by a series of specific steps. Experimental results suggest that CHS can tackle the constraints efficiently and NSGA-III-TD can obtain the Pareto sets with relatively large hypervolumes and coverage rates in comparison with the other four MOEAs for four DEED-PEVs.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110969"},"PeriodicalIF":6.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474816","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":"Liner hub covering problem with elliptical coverage: Improving the cost performance of hub covering problems","authors":"Lingxiao Yang ,&nbsp;Jianfeng Zheng","doi":"10.1016/j.cie.2025.110992","DOIUrl":"10.1016/j.cie.2025.110992","url":null,"abstract":"<div><div>This paper investigates hub covering problems (HCPs), belonging to the service-type hub location problem, which addresses locating hubs and allocating feeders to hubs. Previous studies on HCPs are concerned with the service performance, leading to a poor cost performance. To improve the cost performance of HCPs, this paper presents an elliptical coverage applied in liner shipping, based on which we propose a liner hub covering problem, determining the location of hub ports and allocation of feeder ports. Following two different types of HCPs, we propose two mixed-integer linear programs as formulations of the proposed problem, which can be solved by CPLEX. Numerical results show that, 1) the proposed problem improves the cost performance of HCPs; 2) the proposed formulations give more practical results of the location of hubs and feeder allocation, as compared with conventional formulations of HCPs.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110992"},"PeriodicalIF":6.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512387","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 dual-path architecture based on time series decomposition and degradation correction for remaining useful life prediction of aero-engine","authors":"Chenchen Wu ,&nbsp;Jialong He ,&nbsp;Liang Wang ,&nbsp;Chi Ma ,&nbsp;Yan Liu","doi":"10.1016/j.cie.2025.110964","DOIUrl":"10.1016/j.cie.2025.110964","url":null,"abstract":"<div><div>Accurately predicting remaining useful life (RUL) is crucial to improving the reliability of aero-engines. Although data-driven approaches have become a powerful tool for RUL prediction, most studies only focus on improving model structure and ignore the characteristics of the data itself. Due to changes in the environment and operating conditions, monitoring data often show non-linearity, non-stationarity and high noise, which affects the accuracy of prediction. Therefore, this paper proposes a dual-path prediction architecture based on time series decomposition and degradation correction (DP-TSDDC) to mine fine-grained information in the data in a targeted manner. First, the time series decomposition is used to extract trend components and non-stationary components from the data. Then, the dual-path architecture is used to select networks in a targeted manner according to the characteristics of each component. For the trend component, the temporal convolutional network is introduced to extract the engine’s long-term degradation features; for the non-stationary component, the Patch idea is used for data preprocessing, the long short-term memory is used within the Patch to capture detail features, and the multi-head attention is used between the Patch to capture global correlation features. Then, based on the gated linear unit and the nonlinear relationship between each feature, the features are enhanced and adaptively fused. At the same time, the degradation correction constraint is established based on physical knowledge to reduce the impact of data noise on the prediction results. Finally, the prediction effect of the DP-TSDDC method is verified by experiments on the CMAPSS and N-CMAPSS datasets.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110964"},"PeriodicalIF":6.7,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474813","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}