Computers & Industrial Engineering最新文献

{"title":"A monolithic batch-centric MILP approach for a real-world integrated production and pipeline distribution scheduling problem","authors":"Mouad Sidki ,&nbsp;Nikolay Tchernev ,&nbsp;Pierre Féniès ,&nbsp;Libo Ren ,&nbsp;Selwa Elfirdoussi","doi":"10.1016/j.cie.2025.111028","DOIUrl":"10.1016/j.cie.2025.111028","url":null,"abstract":"<div><div>This paper addresses a real-world, comprehensive production and distribution operations scheduling problem within the context of an integrated phosphate supply chain. The supply chain considered belongs to the Khouribga mine site of the OCP Group. A monolithic batch-centric, continuous-time Mixed-Integer Linear Programming (MILP) model was developed to solve this industrial problem, encompassing a production scheduling problem, a multiproduct pipeline network transportation problem, and a multiproduct storage-sensitive management problem. The objective is to create a scheduling plan for all detailed operations in the integrated supply chain while maximizing the use of pipelines for product transportation and complying with production, transport, and storage constraints, as well as meeting customer demand requirements. The proposed MILP model was evaluated using real dataset instances from OCP’s supply chain; the experimental results demonstrate its efficiency in providing optimal and near-optimal solutions within a reasonable CPU time.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111028"},"PeriodicalIF":6.7,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600621","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 case study on order picking schedule deviations and their contributing factors","authors":"Aïcha Leroy ,&nbsp;An Caris ,&nbsp;Benoît Depaire ,&nbsp;Teun van Gils ,&nbsp;Kris Braekers","doi":"10.1016/j.cie.2025.111019","DOIUrl":"10.1016/j.cie.2025.111019","url":null,"abstract":"<div><div>Efficiency in order picking is crucial amid rising competition and customer expectations. It is common practice in warehouse literature to portray the order picking process as deterministic and fully predictable. However, this assumption is in most cases inconsistent with reality, leading to inaccurate system modelling. This case study analyses real-life data to identify and explore drivers behind deviations from the predetermined process flow in a manual order picking context. A generic methodology to learn deviations in both picking order and execution time is proposed, providing a framework for analogous data sets within diverse organisational contexts. Applied to a real-life data set of about three million picks performed by over 500 order pickers, the results indicate that several task- and human-related factors may drive deviations, affecting output predictability and overall efficiency. This case study empirically demonstrates that stochasticity is a significant yet often underestimated characteristic of order picking systems, as order pickers may ignore routing guidelines and may have varying working paces. The study concludes that data-driven decision-making can identify and help understand process deviations, leading to improved efficiency, cost savings, and potentially higher worker satisfaction by aligning managerial expectations with real-life performance.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111019"},"PeriodicalIF":6.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593683","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":"Designing a circular dual channel fish supply chain network considering sustainability: A case study","authors":"Parand Sojoudi,&nbsp;Mohammad Mahdi Paydar,&nbsp;Sina Nayeri","doi":"10.1016/j.cie.2025.111017","DOIUrl":"10.1016/j.cie.2025.111017","url":null,"abstract":"<div><div>Due to the increasing demand for seafood products driven by global population growth, the significance of supply chains, particularly for fish, has been greatly emphasized. This increase in food demand has affected the environment and raised significant environmental concerns. To tackle these issues, the circular economy (CE) and sustainability have been introduced. However, the literature shows that no study has focused on the circular fish supply chain considering sustainability dimensions. Therefore, this research presents a comprehensive study that designs a circular dual-channel fish supply chain (CDCFSC) network with sustainability pillars which is its main contribution. The proposed model is a multi-product, multi-period, multi-objective mixed-integer linear programming (MOMILP) framework that aims to maximize total profits and social impact while minimizing environmental impact. Moreover, the robust fuzzy programming (RFP) method is utilized to manage the uncertainties arising from the dynamic nature of the business environment. To solve the proposed multi-objective model, a novel solution procedure named Fuzzy Multi-Choice Chebyshev Goal Programming with Utility Function (FMCCGP-UF) is developed. To demonstrate the application of the developed framework, this research investigates a case study on a fish packaging plant in Amol, Iran. In addition to the novelties of this study, investigating discounts on the online channel and illustrating various eco-friendly packaging methods in plants within the fish supply chain are other innovations of this work. Based on the case study’s findings, some fish farms and packaging centers were selected and established, along with various packaging methods. Furthermore, Sensitivity analysis highlights a 20% increase in transportation costs alongside a corresponding 25% income boost (approximately 2,000,000,000 Rials) within a circular supply chain design. These findings emphasize the sustainability and CE dimensions in uncertain fish supply chain design. Additionally, sensitivity analyses show that a 30% increase in demand amplifies social impacts, while CO₂ emissions rise during transportation. Purchasing costs increase by 20%, offset by a 34% income gain. Conversely, a 30% increase in the discount rate leads to an 86% rise in demand and a 43% increase in income, resulting in overall profit growth. In the end, managerial insights conclude this work.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111017"},"PeriodicalIF":6.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580833","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":"Train service replanning in urban rail transit system: An integrated operation mode that combines express/local and short-turning strategies","authors":"Renjie Zhang ,&nbsp;Min Yang ,&nbsp;Mingye Zhang ,&nbsp;Hongwei Li ,&nbsp;Rui Peng","doi":"10.1016/j.cie.2025.111018","DOIUrl":"10.1016/j.cie.2025.111018","url":null,"abstract":"<div><div>With the expansion of urban rail network, traditional train operation mode is gradually difficult to meet the complex and changeable passenger demand. This paper focuses on an integrated train operation mode that combines express/local strategy and short-turning strategy and explores its applicability in the urban rail transit system. Considering that the traditional train service replanning method is hard to implemented in this special mode due to the complexity of its stopping patterns, train types, and turnaround patterns, all types of train in this mode are categorized into 4 cases and the potential passenger transfer choices are explores at first. Then, a service replanning model aiming at reducing both the passenger travel time as well as the train operation cost is proposed. A bi-stage adaptive NSGA-II algorithm is designed to deal with this mix integer nonlinear programming problem. Finally, numerical examples from Nanjing Metro Line S6 verify the effectiveness of the algorithm and the proposed model. Comparisons between this special mode and other modes such as all-stop mode, short-turning mode, and express/local mode are further made. The results indicate that the proposed integrated mode combines the advantages of other modes and can reduce 15.3% train operation cost as well as 2.8% passenger travel time, which is suitable to operate in urban rail transit.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111018"},"PeriodicalIF":6.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609413","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 location and operation for emergency road service: A machine learning-driven robust approach","authors":"Yuanbo Li ,&nbsp;Ziliang Jin ,&nbsp;Jing Ma ,&nbsp;Jiushenzi Luo ,&nbsp;Peixuan Li","doi":"10.1016/j.cie.2025.111016","DOIUrl":"10.1016/j.cie.2025.111016","url":null,"abstract":"<div><div>In emergency road services, the location of service centers and the allocation of mechanics are crucial for ensuring a rapid response. Their importance becomes even more pronounced when faced with uncertain accident repair demands. In this paper, we explore an integrated service area design and repair service operation problem in a transportation system under demand uncertainty. We formulate the problem as a two-stage stochastic mixed-integer linear programming (MILP) model. In the first stage, it determines the locations for service centers and allocates mechanics accordingly. In the second stage, it manages the mechanics to serve demands. To address incomplete demand distribution information, we further extend the stochastic model to a distributional robust optimization (DRO) model, which assumes that the true distribution lies in an ambiguity set and concerns the performance under the worst-case distribution within the set. To enhance the computational efficiency, we develop alternating direction method of multipliers (ADMM) algorithm and further integrate it with machine learning (ML) techniques to propose an ML-ADMM algorithm. Our numerical results using real data show that our approach can obtain a solution with a limited optimality gap while reducing computational time by 41.23%. Out-of-sample results show that DRO model demonstrates superior risk-averse performance, surpassing both risk-neutral and robust optimization methods. We reveal that choosing either too few or too many centers is not ideal, which can result in higher costs and lower service levels. While it is necessary to ensure all demands are served timely from a safety perspective, it is not cost-effective.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111016"},"PeriodicalIF":6.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580836","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":"Optimization of three-echelon logistics supply chain considering emergency scenarios under resilience strategy: A case study in power metering industry","authors":"Jianing Cao ,&nbsp;Miaohan Zhang ,&nbsp;Nan Pan ,&nbsp;Yuhang Han ,&nbsp;Jian Liu ,&nbsp;Zhaolei He ,&nbsp;Zhen Ai","doi":"10.1016/j.cie.2025.110985","DOIUrl":"10.1016/j.cie.2025.110985","url":null,"abstract":"<div><div>As supply chain management demands escalate, emergency response becomes crucial to its optimization, particularly in vital sectors like electric power, where an efficient and stable supply chain is essential for societal operations. This paper explores the optimization of three-echelon logistics supply chain for power metering equipment during emergency scenarios. It introduces a two-stage inventory routing optimization model which considers fuel consumption modeling of heterogeneous vehicles to more accurately reflect actual supply chain operations. In addition, a joint scheduling resilience strategy is devised to enhance supply chain robustness. Furthermore, an improved metaheuristics algorithm is designed to improve the efficiency and the quality of the solution. Though a case study based on real power metering data in Southwest China, the effectiveness of the designed model and resilience strategy are validated. Notably, the proposed method in different scale emergency scenarios have advantages over both existing traditional method and other cutting-edge algorithms, being able to reduce the total cost and logistics time by an average of 50.82% and 44.13%, respectively. This paper provides actionable approaches and instrumental analytics for power metering device logistics, contributing substantially to supply chain resiliency.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110985"},"PeriodicalIF":6.7,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631831","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":"Multi-objective optimization of two-echelon delivery with autonomous delivery vehicles and electric two-wheelers","authors":"Zhicheng Jin ,&nbsp;Miaojia Lu ,&nbsp;Xiangyong Li ,&nbsp;Shu Zhang ,&nbsp;Shu-Chien Hsu","doi":"10.1016/j.cie.2025.110999","DOIUrl":"10.1016/j.cie.2025.110999","url":null,"abstract":"<div><div>Couriers often make multiple round trips between warehouses and customer locations within short time frames in traditional last-mile delivery. A two-echelon delivery system that integrates autonomous delivery vehicles (ADVs) and electric two-wheelers (E2Ws) holds significant promise for minimizing detours and reducing empty mileage, thereby enhancing delivery efficiency and lowering labor costs. Consequently, we propose a two-echelon delivery problem for the routing and scheduling of ADVs and E2Ws, considering the synchronization reliability for two-echelon vehicles and the system cost, greenhouse gas emissions, and delivery risk. A hybrid algorithm integrating an adaptive large neighborhood search heuristic and a multi-objective genetic algorithm is designed to address the problem. Experiments in Shanghai reveal that our proposed model could reduce system costs (27.11%) and emissions (30.62%) when compared to traditional three-wheeler delivery. The multi-objective setting exhibits a substantial decline in delivery risk by above 20%. Finally, the stochastic simulation approach validates the superior performance of the synchronization reliability constraint.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110999"},"PeriodicalIF":6.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552267","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 synthetic buffer monitoring strategy in multi-project scheduling","authors":"Tian Min ,&nbsp;Dong Jiamin","doi":"10.1016/j.cie.2025.111025","DOIUrl":"10.1016/j.cie.2025.111025","url":null,"abstract":"<div><div>Most existing studies on critical chain buffer monitoring focus on single projects, with limited attention given to multi-projects. However, the scope and emphasis of multi-project monitoring differ from those in single projects, leading to more complex chain structures and trigger settings. This paper proposes a synthetic buffer monitoring strategy to improve the buffer monitoring process in multi-project scheduling. First, we design a hierarchical chain structure both within and across sub-projects, using sub-chain buffer monitoring to replace whole-chain buffer monitoring. Second, we propose a single-point synthetic buffer monitoring method based on dynamic buffer monitoring method and relative buffer monitoring method to enhance the flexibility of trigger settings. Finally, we use a multi-project example from an enterprise to verify the effectiveness of the synthetic buffer monitoring strategy and design four evaluation indicators to assess the outcomes of buffer monitoring. The results show that when a multi-project is delayed, the first warning time for buffer consumption entering the red area is significantly reduced, and the mean warning time after buffer consumption entering the red area is substantially shortened.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111025"},"PeriodicalIF":6.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552274","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":"Combining autonomous delivery robots and traditional vehicles with public transportation infrastructure in last-mile distribution","authors":"Gianpaolo Ghiani,&nbsp;Emanuela Guerriero,&nbsp;Emanuele Manni,&nbsp;Deborah Pareo","doi":"10.1016/j.cie.2025.111001","DOIUrl":"10.1016/j.cie.2025.111001","url":null,"abstract":"<div><div>The recent boom of e-commerce and the resulting concern about emissions increase are promoting the development of alternative paradigms for last-mile delivery, involving greener vehicles, such as air drones and autonomous delivery robots, which are also less sensitive to traffic congestion. In this paper, we study a last-mile distribution problem in which a heterogeneous fleet composed of both traditional vehicles and autonomous delivery robots is used to service a large number of customer requests in an urban area. The delivery robots use stations of the public transportation network as their depots. The problem amounts to building both van and delivery-robot routes in such a way as to minimize the distribution cost, meeting the constraints imposed by the different ranges and capacities of both vehicles. At the same time, another decision involves choosing at which stations of the public transportation network the delivery robots are based. For this purpose, we develop two variants of a matheuristic scheme based on the solution of a hybrid set-partitioning and location-based model. We perform thorough computational experiments on instances inspired by the problem of distributing drugs to pharmacies in the urban area of Rome (Italy) and show that, when the instance size grows, the proposed solution approach allows us to obtain significant cost reductions compared to both a straightforward solution of a mathematical model and a classical metaheuristic scheme. In addition, we show that combining autonomous delivery robots with traditional vehicles allows us to achieve important cost and emission reductions with respect to a traditional delivery scheme.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111001"},"PeriodicalIF":6.7,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A scalable federated learning-based approach for accurate traffic prediction in edge computing-enable metro optical networks","authors":"Citong Que,&nbsp;Faisal Nadeem Khan","doi":"10.1016/j.cie.2025.111004","DOIUrl":"10.1016/j.cie.2025.111004","url":null,"abstract":"<div><div>Accurate network traffic prediction is indispensable for efficient load-aware resource management and performance optimization in metro optical networks (MONs). Existing machine learning (ML)-based methods for network node traffic prediction typically adopt a centralized approach, in which a centralized learning model is trained with traffic data collected from all nodes. However, the requirement for transferring massive amount of data to a centralized server in such an approach may increase the communication delays and raise privacy concerns. Although these problems can be solved by using federated learning (FL) technique, the generalization ability and prediction accuracy of a global model in a federated setting are still affected by the diverse traffic patterns and scale of the MON, which are also the limitations of traditional centralized approaches for traffic prediction. To further improve the traffic prediction accuracy in edge computing-enabled MONs, we propose an FL-based traffic prediction framework, namely FedMON, that consists of a clustering strategy based on traffic patterns, and a two-stage model aggregation scheme, in which a scalable global model is collaboratively trained by edge nodes. By exploiting the traffic patterns-based clustering, obtained by applying seasonal and trend decomposition using locally estimated scatterplot smoothing (Loess) followed by the <em>K</em>-means clustering algorithm, the proposed FedMON framework performs intra- and inter-cluster model aggregation in a hierarchical manner to deal with the huge amount and heterogeneity of traffic data issues experienced in real MONs. We conducted detailed experiments using synthetic traffic data to evaluate the performance of FedMON for MONs of varying scales. The results demonstrate that FedMON outperforms baseline FL methods as well as a state-of-the-art centralized learning model. More importantly, the strong scalability of FedMON reduces the traffic prediction errors by up to 14% for large-scale MONs.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111004"},"PeriodicalIF":6.7,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682590","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}