Computers & Industrial Engineering最新文献_第8页

A decision-support system for ambulance management: A case study of the Portuguese EMS 救护车管理的决策支持系统：葡萄牙EMS的案例研究

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-04-02 DOI: 10.1016/j.cie.2025.111044

A.S. Carvalho, M.E. Captivo

引用次数: 0

Ant Colony Optimization for solving large-scale bi-level network design problems 求解大规模双层网络设计问题的蚁群算法

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-04-02 DOI: 10.1016/j.cie.2025.111077

Ertan Yakici , Mumtaz Karatas

{"title":"Ant Colony Optimization for solving large-scale bi-level network design problems","authors":"Ertan Yakici , Mumtaz Karatas","doi":"10.1016/j.cie.2025.111077","DOIUrl":"10.1016/j.cie.2025.111077","url":null,"abstract":"<div><div>In this study, we consider a bi-level hierarchical network design problem that encompasses both gradual and cooperative coverage. The lower-level facility serves as the primary point of contact for customers, while the upper-level facility acts as a supplier for the lower-level facilities. We first present a mathematical formulation of the problem, followed by an Ant Colony Optimization (ACO) approach to solve it. We then compare the performance of our method with commercial exact solvers. Our experiments, conducted on instances of various sizes, show that while exact methods may succeed in the long run, our heuristic provides a fast and reliable option for operational decisions that need to be made in a short period of time. In nine out of twelve instances, the exact solver failed to find a feasible solution within three hours for the high-budget case and two hours for the low-budget case. In contrast, our heuristic had run times between 0.1 and 0.4 h for 50 iterations. We also compare the performance of ACO with that of a Genetic Algorithm (GA) to evaluate its effectiveness among heuristics. Our numerical results demonstrate that ACO outperforms GA. This study contributes to the literature by offering a solid theoretical framework for the problem and implementing ACO to solve a bi-level facility location problem. Our results demonstrate that ACO can deliver good solutions in a reasonable time and serves as a promising alternative.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111077"},"PeriodicalIF":6.7,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143814755","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}

引用次数: 0

Reinforcement learning approach for outbound container stacking in container terminals 集装箱码头出站集装箱堆垛的强化学习方法

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-04-01 DOI: 10.1016/j.cie.2025.111069

Wonhee Lee , Sung Won Cho

{"title":"Reinforcement learning approach for outbound container stacking in container terminals","authors":"Wonhee Lee , Sung Won Cho","doi":"10.1016/j.cie.2025.111069","DOIUrl":"10.1016/j.cie.2025.111069","url":null,"abstract":"<div><div>The container stacking problem for outbound containers is a major planning task under yard operations in a container terminal. It is important to minimize the expected number of rehandling operations, which further helps maintain the productivity of yard operations and improve the efficiency of container terminals. In this paper, we propose a reinforcement learning based approach to determine the storage location of the arriving outbound containers. A reinforcement learning approach is developed to identify the appropriate storage location, aiming to minimize the expected number of rehandling operations during the loading operation. Furthermore, we developed suitable strategies related to reinforcement learning to determine the storage location by training the model using a sufficient number of episodes. Numerical experiments were conducted to compare the proposed model with existing algorithms using real-life container terminal data. The experimental results indicate that the proposed model is robust to uncertain environments, supports real-time decisions, and minimizes the expected number of rehandling operations.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111069"},"PeriodicalIF":6.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760952","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}

引用次数: 0

An automatic flood escape route identification method for existing underground spaces: From the perspective of multi-objective trade-offs 基于多目标权衡的既有地下空间洪水逃生路线自动识别方法

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-04-01 DOI: 10.1016/j.cie.2025.111082

Zhikun Ding , Zihuan Sun , Xiaoxiao Xu

{"title":"An automatic flood escape route identification method for existing underground spaces: From the perspective of multi-objective trade-offs","authors":"Zhikun Ding , Zihuan Sun , Xiaoxiao Xu","doi":"10.1016/j.cie.2025.111082","DOIUrl":"10.1016/j.cie.2025.111082","url":null,"abstract":"<div><div>Frequent occurrences of flood disasters pose a significant threat to the safety of urban residents. Although research on emergency management for building disasters has made progress, it has primarily focused on fire incidents, lacking comprehensive studies on flood disasters. Furthermore, existing studies on optimal escape route planning predominantly relied on single criteria, resulting in a limited evaluation perspective. To address this gap, this research introduces a dynamic, systematic, and versatile framework for optimizing escape routes in flood scenarios, which incorporates Building Information Modeling (BIM), flood fluid simulation, crowd evacuation simulation, and weighted multi-criteria evaluation. The effectiveness and superiority of the framework are demonstrated through a case study of an underground facility used for university teaching and research. The outcomes of this research contribute to bridging the theoretical gap in emergency management of underground spaces during flood disasters, providing valuable insights to enhance the emergency preparedness of buildings in flood-prone areas.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111082"},"PeriodicalIF":6.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767846","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}

引用次数: 0

Facility location and capacity planning for sampling and testing processes under demand uncertainty 在需求不确定的情况下，取样和测试过程的设施位置和能力规划

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-04-01 DOI: 10.1016/j.cie.2025.111094

Zhongbao Zhou , Wenting Sun , Tiantian Ren , Ximei Zeng

{"title":"Facility location and capacity planning for sampling and testing processes under demand uncertainty","authors":"Zhongbao Zhou , Wenting Sun , Tiantian Ren , Ximei Zeng","doi":"10.1016/j.cie.2025.111094","DOIUrl":"10.1016/j.cie.2025.111094","url":null,"abstract":"<div><div>During an outbreak, nucleic acid testing is essential for early infection detection and virus transmission control. In this study, we aim to location and capacity planning of testing facilities, balancing minimal costs with maximum population coverage during public health emergencies. We propose a novel two-stage robust optimization model that addresses uncertainties in sampling demand during an epidemic, with distinct phases for sampling and testing. Applying this model to medium and high-risk areas in Beijing during COVID-19, we use the column-and-constraint generation (C&CG) algorithm and compare its performance with three <em>meta</em>-heuristic algorithms: Differential Evolution (DE), Genetic Algorithm (GA), and Simulated Annealing (SA). Our findings reveal that the C&CG algorithm reduces sampling costs by 31.10% compared to DE, 26.77% to GA, and 21.17% to SA. It also lowers testing costs by 7.48%, 79.79%, and 60.63%, respectively, and achieves a higher completion rate for sampling and testing volumes, ranging from 93.12% to 100%. In addition, C&CG outperforms the other algorithms in handling large sample sizes by 43.98% to 61.84%. Despite its longer computational time, C&CG is more efficient in cost reduction and demand satisfaction. Furthermore, we analyze the impact of uncertainty set parameters, including a unified value of the demand risk parameter, and assess different cases. The corresponding location and capacity solutions can offer decision support for emergency agencies managing public health crises.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111094"},"PeriodicalIF":6.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785586","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}

引用次数: 0

A path-free modelling approach for the traffic counting location problem 交通计数定位问题的无路径建模方法

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-04-01 DOI: 10.1016/j.cie.2025.111079

Gokhan Karakose , İslam Diri

{"title":"A path-free modelling approach for the traffic counting location problem","authors":"Gokhan Karakose , İslam Diri","doi":"10.1016/j.cie.2025.111079","DOIUrl":"10.1016/j.cie.2025.111079","url":null,"abstract":"<div><div>Efficient sensor placement enhances traffic management, planning, and flow control by providing real-time traffic information. Given that the quality of this information is closely linked to sensor locations, this paper aims to find the optimal location of minimum number of counting sensors to efficiently monitor all origin–destination (<span><math><mrow><mi>O</mi><mi>D</mi></mrow></math></span>) trips. This problem is known as the Traffic Counting Location Problem (TCLP) in the literature. For this problem, the paper presents a path-free modelling approach, along with a search space reduction procedure. The proposed approach removes the need to explicitly track paths between all <span><math><mrow><mi>O</mi><mi>D</mi></mrow></math></span> pairs as well as excluding unnecessary route observations. This greatly reduces the solution return time and memory usage for the TCLP, showed in extensive computational experiments tested on well-known transportation networks and randomly generated networks. Specifically, the best existing method in the literature has demonstrated effectiveness only for networks with fewer than 2,000 nodes. In contrast, the proposed solution methodology in this paper successfully addresses networks exceeding 15,000 nodes, substantially extending the scalability of exact approaches in solving the TCLP. Hence, this paper fills a significant gap in the TCLP literature by introducing an efficient exact approach that rapidly generates optimal solutions for medium-scale networks, and provides, for the first time, an optimal solution of TCLP for many large-scale networks. This advancement contributes to the development of intelligent transportation systems in smart cities, facilitating better traffic management and improving overall urban efficiency</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111079"},"PeriodicalIF":6.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767847","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}

引用次数: 0

The community group buying models and strategic management for fresh food under supply uncertainty 供给不确定性下的生鲜食品社区团购模式及策略管理

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-31 DOI: 10.1016/j.cie.2025.111083

Xianjia Wang , Tianrun He

{"title":"The community group buying models and strategic management for fresh food under supply uncertainty","authors":"Xianjia Wang , Tianrun He","doi":"10.1016/j.cie.2025.111083","DOIUrl":"10.1016/j.cie.2025.111083","url":null,"abstract":"<div><div>This paper explores a community group buying fresh food model with one supplier, one platform and one community leader, where the platform adopts full payment pre-sale model, and the supplier has uncertain supply. We establish profit models for the centralized decision, decentralized decisions and semi-integrated decisions, and obtain management strategies. For decentralized decision-making, we introduce two kinds of wholesale price contracts considering shortage undertaking, and propose a new form of minimum commitment supply contract which enables the platform to obtain the supplier’s compensation for the shortage loss caused by uncertain supply and transfer part of it to the leader. Compared with traditional wholesale price contracts, we prove that the minimum commitment supply contract can coordinate the overall profit of the supply chain and enhance the effort levels of the members. This numerical study shows that whether the average supply is sufficient or short, the optimal decisions and the expected profit of each member of the supply chain increases with the decrease in supply uncertainty.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111083"},"PeriodicalIF":6.7,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748595","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}

引用次数: 0

A general preventive maintenance framework of a production system considering dynamic maintenance accessibility 考虑动态维护可及性的生产系统一般预防性维护框架

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-29 DOI: 10.1016/j.cie.2025.111054

Fei Zhao , Nan Zhang

{"title":"A general preventive maintenance framework of a production system considering dynamic maintenance accessibility","authors":"Fei Zhao , Nan Zhang","doi":"10.1016/j.cie.2025.111054","DOIUrl":"10.1016/j.cie.2025.111054","url":null,"abstract":"<div><div>In this paper, we investigate the maintenance problem of a production system where maintenance delay and dynamic environmental accessibility are considered. The system can be a single-component system or a series system with multiple components. It operates in a dynamic environment modeled by a discrete time Markov chain. The impact of the environment is twofold. Both the system productivity and the maintenance process depend on the environment state. Maintenance delay is taken into account in this work, such that the maintenance crew needs non-negligible times to arrive for maintenance activity. In addition, maintenance executing times are also non-negligible. We propose a preventive maintenance framework for a general production system. The component(s) are aging with time, described by their degradation levels or the time elapsed since their last renewal epochs, depending on their failure characteristics. For a specific maintenance scheduling, some reliability and production measure indexes such as the availability, environmental accessibility ratio and production loss rate are proposed to assess the system characteristics. The maintenance cost in the long-run horizon is also derived. We solve these problems in the framework of a semi-regenerative process. To further illustrate the properties of the policy, we show how the model is adaptive to single-component systems in detail. An example concerning a two-component production system is also presented. The model can provide theoretical references for decision-makers when maintenance delay and dynamic maintenance accessibility needs to be taken into account.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111054"},"PeriodicalIF":6.7,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738622","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}

引用次数: 0

Tensions in implementing a circular economy – Empirical insights from the automotive industry 实施循环经济的紧张关系——来自汽车行业的经验见解

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-29 DOI: 10.1016/j.cie.2025.111090

Christoph Hoppe , Thorsten Schoormann , Stephanie Winkelmann , Frederik Möller

{"title":"Tensions in implementing a circular economy – Empirical insights from the automotive industry","authors":"Christoph Hoppe , Thorsten Schoormann , Stephanie Winkelmann , Frederik Möller","doi":"10.1016/j.cie.2025.111090","DOIUrl":"10.1016/j.cie.2025.111090","url":null,"abstract":"<div><div>The automotive industry’s transition toward a circular economy (CE) presents challenges critical for achieving sustainability. Implementing circularity requires navigating through complex decisions, including legal issues, digital technologies, and organizational practices. Some of the decisions are even conflicting and lead to tensions that capture related opposites pulling in different directions. While understanding tensions is crucial, they often receive only limited attention, which is problematic because making appropriate decisions and developing coping mechanisms requires an awareness of potential tensions. This study, therefore, empirically investigates tensions in implementing CE strategies within the automotive industry. Through semi-structured interviews with 17 industry experts across diverse CE focus areas, six tensions for implementing circularity were identified that require careful management and reflection. Also, promising practices were extracted from the qualitative analysis. The presented findings contribute to the growing body of knowledge on CE by highlighting the role of transition processes, digital technologies, and data in enabling effective CE implementations. By identifying tensions, the paper provides actionable insights for scholars, practitioners, and policymakers, ultimately supporting the development of sustainable and circular economies.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111090"},"PeriodicalIF":6.7,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904547","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}

引用次数: 0

Scheduling and dynamic charging optimizations for electric buses with time-varying electricity tariffs 时变电价下电动公交车的调度与动态充电优化

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-28 DOI: 10.1016/j.cie.2025.111080

Dejian Feng , Ming Dong , Jiaqi Dong

引用次数: 0