Computers & Industrial Engineering最新文献_第2页

A simheuristic for project portfolio optimization combining individual project risk, scheduling effects, interruptions, and project risk correlations 结合单个项目风险、进度影响、中断和项目风险相关性的项目组合优化模拟法

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-11-07 DOI: 10.1016/j.cie.2024.110694

Miguel Saiz , Laura Calvet , Angel A. Juan , David Lopez-Lopez

{"title":"A simheuristic for project portfolio optimization combining individual project risk, scheduling effects, interruptions, and project risk correlations","authors":"Miguel Saiz , Laura Calvet , Angel A. Juan , David Lopez-Lopez","doi":"10.1016/j.cie.2024.110694","DOIUrl":"10.1016/j.cie.2024.110694","url":null,"abstract":"<div><div>This paper introduces a simheuristic method to the Project Portfolio Selection Problem, designed to maximize the net present value of the portfolio while considering uncertain costs, schedules, interruptions, and inter-project risk correlations. The novel approach combines techniques from Monte Carlo simulation, critical path analysis, queuing theory, and optimization, integrating baseline schedules, project-level uncertainties, budgetary constraints, and risk correlations in a single model. A computational experiment is conducted on a realistic set of ten candidate projects and validated respect to the deterministic version of the problem, demonstrating its ability to select near optimal portfolio proposals with varying combinations of risk and net present value. The findings highlight the significant impact of factors such as contingency reserve allocation policies, operational interruptions, and project risk correlations on portfolio decisions, constituting a helpful framework for the decision-makers at portfolio level.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110694"},"PeriodicalIF":6.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662054","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

Two memory-based monitoring schemes for the ratio of two normal variables in short production runs 针对短期生产运行中两个正常变量比率的两种基于内存的监测方案

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-11-07 DOI: 10.1016/j.cie.2024.110690

XueLong Hu , YiTian Zhao , Ali Yeganeh , Sandile Charles Shongwe

{"title":"Two memory-based monitoring schemes for the ratio of two normal variables in short production runs","authors":"XueLong Hu , YiTian Zhao , Ali Yeganeh , Sandile Charles Shongwe","doi":"10.1016/j.cie.2024.110690","DOIUrl":"10.1016/j.cie.2024.110690","url":null,"abstract":"<div><div>In many production processes, monitoring the ratio of two normal random variables (RZ) plays an important role in ensuring product quality. In recent years, flexible manufacturing has become increasingly important to meet the ever-changing market demands, making small batch production very common in real industrial processes. However, it is worth noting that few studies have been conducted on monitoring the RZ in short production runs (SPR) processes. To address this issue, two popular memory-based schemes, i.e. the SPR exponentially weighted moving average (EWMA) and the SPR cumulative sum (CUSUM), are proposed to monitor the RZ. The truncated run length performance measures, i.e. truncated average run length (<em>TARL</em>) and truncated standard deviation of the run length (<em>TSDRL</em>), of the proposed monitoring schemes are obtained by using the Markov chain method. Furthermore, by comparing their statistical performance with that of the existing SPR Shewhart-RZ scheme, the superiority of the proposed schemes is demonstrated. The findings show that the advantages of the EWMA and CUSUM schemes over the Shewhart scheme increase with an increase in the number of batches and subgroups of samples. Finally, the implementation of SPR EWMA-RZ and SPR CUSUM-RZ schemes in the small batch production process is illustrated with a real data example.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110690"},"PeriodicalIF":6.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662052","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

Joint optimization of recyclable inventory routing problem under uncertainties in an incentive-based recycling system 基于激励的回收系统中不确定因素下可回收库存路线问题的联合优化

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-11-07 DOI: 10.1016/j.cie.2024.110692

Meimei Zheng , Yuan Li , Ningxin Du , Qingyi Wang , Edward Huang , Peng Jiang

{"title":"Joint optimization of recyclable inventory routing problem under uncertainties in an incentive-based recycling system","authors":"Meimei Zheng , Yuan Li , Ningxin Du , Qingyi Wang , Edward Huang , Peng Jiang","doi":"10.1016/j.cie.2024.110692","DOIUrl":"10.1016/j.cie.2024.110692","url":null,"abstract":"<div><div>Due to the value of resource recovery and the development of a circular economy, waste recycling has gathered global attention. Recently, many emerging cities designed new systems like an incentive-based recycling system (IBRS). In such systems, recyclables are collected through community recycling nodes by offering incentives, then transported to street recycling stations and sorted before being finally recycled. The increased recycling nodes and the incentives enhance the convenience and residents’ enthusiasm for waste recycling, but also intensify the uncertainty of recycling quantities and the complexity of the recycling operation management. Poor recycling operation management may result in increased recycling costs or greater loss of recyclables, which discourages residents from participating in recycling. Based on an existing IBRS, this study investigates the joint optimization problem of the recyclable inventory management at each community recycling node and the vehicle routing from the recycling nodes to the recycling station. A two-stage dual-objective multi-period stochastic programming model is established to minimize the loss of recyclables and logistics costs, which is further reformulated using the weighting method and transportation cost approximation parameters. To solve the reformulated model, a three-phase iterative algorithm is designed by combining the progressive hedging algorithm and route splitting algorithm based on the Lin-Kernighan heuristic. A case study is conducted using data from Shanghai’s IBRS. The proposed joint decision model is superior to separate decisions and the three-phase iterative algorithm can reduce the average total cost by up to 42.12% compared to the genetic algorithm and the Iteration-Move-Search method in the literature. Additionally, a sensitivity analysis is conducted to provide managerial insights.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110692"},"PeriodicalIF":6.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662074","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

Impulse synchronization strategy for supply chains considering combined effects and demand saturation 考虑综合效应和需求饱和的供应链脉冲同步策略

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-11-07 DOI: 10.1016/j.cie.2024.110696

Yang Peng , Jiang Wu

{"title":"Impulse synchronization strategy for supply chains considering combined effects and demand saturation","authors":"Yang Peng , Jiang Wu","doi":"10.1016/j.cie.2024.110696","DOIUrl":"10.1016/j.cie.2024.110696","url":null,"abstract":"<div><div>Supply chains often face sudden changes in production, distribution, and consumption as a result of factors such as pandemics, Black Friday, and mass production by manufacturers; this is called the ”impulse phenomenon.” The effect of the impulse phenomenon on the supply chain system can be positive or negative. Understanding how to use the impulse phenomenon to synchronize supply chain systems and avoid chaos is therefore important for supply chain management. Existing studies mainly use continuous synchronization strategies as a means to avoid chaos in supply chain systems; however, a discrete impulse synchronization strategy is easier to implement. Considering combined effects of consumption,distribution,production and demand saturation, this study constructs a supply chain system composed of a manufacturer, distributor, and retailer. We then construct a supply chain system with uncertain parameters and input disturbance. Using Lyapunov stability theory and matrix inequality, we obtain the impulse synchronization strategies of two supply chain systems. Finally, taking China’s supply chain system of corn, wheat, and rice as an example, we compare goodness of fit. The production, distribution, and consumption of rice are controlled using a temporary storage purchase policy, batch ordering, and promotion activities, and the effectiveness of the impulse synchronization strategy is verified. Our results show the following: (1) Considering combined effects and demand saturation, the supply chain system has better goodness of fit and better impulse synchronization. (2) When a chaotic supply chain system deviates from its expected state, if impulse intensity and the time interval satisfy Theorem 1 or 2, the supply chain system can be restored to its expected state; if not, the synchronization effect might not be achieved. (3) Generally, when impulse intensity is low, the time interval is short, if impulse intensity is high, the time interval should be longer.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110696"},"PeriodicalIF":6.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662053","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

An efficient and unified statistical monitoring framework for multivariate autocorrelated processes 多变量自相关过程的高效统一统计监测框架

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-11-07 DOI: 10.1016/j.cie.2024.110675

Kai Wang , Wanlin Xu , Jian Li

{"title":"An efficient and unified statistical monitoring framework for multivariate autocorrelated processes","authors":"Kai Wang , Wanlin Xu , Jian Li","doi":"10.1016/j.cie.2024.110675","DOIUrl":"10.1016/j.cie.2024.110675","url":null,"abstract":"<div><div>In current manufacturing and service systems, product quality or process status is typically characterized by multiple variables. The rapid advances of information technologies further make these multiple variables measured at a high-frequent manner and thus generate temporally correlated multivariate data. The statistical monitoring of such a multivariate autocorrelated process (MAP) is quite challenging due to the complicated correlation between different variables and different time lags. To solve this challenge, our paper proposes an efficient and unified MAP monitoring framework. The original serially-dependent multivariate vectors are first represented by a sequence of two-dimensional matrices that contain full information about the mean, cross-correlation and autocorrelation of MAP data. Then a matrix normal distribution with parsimonious properties is adopted to model these constructed matrix data, where a mean parameter is used to characterize the process mean and two covariance matrix parameters are used to capture the cross-correlation and autocorrelation, respectively. Finally, a powerful likelihood ratio test–based charting statistic is analytically derived which can jointly monitor process mean and variability. The superiority of our control chart has been validated by large-scale numerical experiments and a real case study of the Tennessee Eastman benchmark process.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110675"},"PeriodicalIF":6.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662108","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 novel method for solving dynamic flexible job-shop scheduling problem via DIFFormer and deep reinforcement learning 通过 DIFFormer 和深度强化学习解决动态灵活作业调度问题的新方法

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-11-06 DOI: 10.1016/j.cie.2024.110688

Lanjun Wan , Xueyan Cui , Haoxin Zhao , Long Fu , Changyun Li

{"title":"A novel method for solving dynamic flexible job-shop scheduling problem via DIFFormer and deep reinforcement learning","authors":"Lanjun Wan , Xueyan Cui , Haoxin Zhao , Long Fu , Changyun Li","doi":"10.1016/j.cie.2024.110688","DOIUrl":"10.1016/j.cie.2024.110688","url":null,"abstract":"<div><div>Due to the dynamic changes of manufacturing environments, heuristic scheduling rules are unstable in dynamic scheduling. Although meta-heuristic methods provide the best scheduling quality, their solution efficiency is limited by the scale of the problem. Therefore, a novel method for solving the dynamic flexible job-shop scheduling problem (DFJSP) via diffusion-based transformer (DIFFormer) and deep reinforcement learning (D-DRL) is proposed. Firstly, the DFJSP is modeled as a Markov decision process, where the state space is constructed in the form of the heterogeneous graph and the reward function is designed to minimize the makespan and maximize the machine utilization rate. Secondly, DIFFormer is used to encode the operation and machine nodes to better capture the complex dependencies between nodes, which can effectively improve the representation ability of the model. Thirdly, a selective rescheduling strategy is designed for dynamic events to enhance the solution quality of DFJSP. Fourthly, the twin delayed deep deterministic policy gradient (TD3) algorithm is adopted for training an efficient scheduling model. Finally, the effectiveness of the proposed D-DRL is validated through a series of experiments. The results indicate that D-DRL achieves better solution quality and higher solution efficiency when solving DFJSP instances.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110688"},"PeriodicalIF":6.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662102","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

Digital twin-based cross-enterprise production-delivery synchronization in a highly dynamic environment 在高度动态环境中实现基于数字孪生的跨企业生产与交付同步

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-11-05 DOI: 10.1016/j.cie.2024.110680

Zhicong Hong , Ting Qu , Yongheng Zhang , Mingxing Li , George Q. Huang , Zefeng Chen

{"title":"Digital twin-based cross-enterprise production-delivery synchronization in a highly dynamic environment","authors":"Zhicong Hong , Ting Qu , Yongheng Zhang , Mingxing Li , George Q. Huang , Zefeng Chen","doi":"10.1016/j.cie.2024.110680","DOIUrl":"10.1016/j.cie.2024.110680","url":null,"abstract":"<div><div>Efficient collaboration between production and logistics is crucial for timely order fulfillment and stable operations of system, necessitating closer cooperation between manufacturers and third-party logistics providers. However, achieving cross-enterprise synchronization presents three main challenges. First, concerns regarding information privacy and security lead to disjointed and non-shared resources. Second, the decision-making is not coordinated and consistent in dealing with dynamic interference. Third, differentiated strategies emerge as manufacturers and 3PLs employ different batch processing methods for customer orders in pursuit of economies of scale. This multifaceted disconnect leads to significant asynchronization in cross-enterprise production-logistics, resulting in inefficiencies and increased costs throughout the system. To address these challenges, this paper focuses on three key aspects: a digital twin-based cross-enterprise information-sharing framework, a cross-enterprise synchronized mechanism, and a collaborative optimization based distributed decision method. These aspects provide an intelligent production-logistics synchronization solution in the unique environment of Industry 4.0. Finally, through a case study of a paint enterprise, this paper comprehensively evaluates the differences in performance of the Production-Logistics Synchronization System (PLSS) under various synchronization modes. The results indicate that the proposed solution enhances the collaborative efficiency of production-logistics while ensuring the information security of the collaborating parties, effectively reducing production and delivery costs.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110680"},"PeriodicalIF":6.7,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662107","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

Joint scheduling of hybrid flow-shop with limited automatic guided vehicles: A hierarchical learning-based swarm optimizer 带有限自动制导车辆的混合流-车间联合调度：基于分层学习的蜂群优化器

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-11-05 DOI: 10.1016/j.cie.2024.110686

Shuizhen Xing , Zhongshi Shao , Weishi Shao , Jianrui Chen , Dechang Pi

{"title":"Joint scheduling of hybrid flow-shop with limited automatic guided vehicles: A hierarchical learning-based swarm optimizer","authors":"Shuizhen Xing , Zhongshi Shao , Weishi Shao , Jianrui Chen , Dechang Pi","doi":"10.1016/j.cie.2024.110686","DOIUrl":"10.1016/j.cie.2024.110686","url":null,"abstract":"<div><div>Transportation system in workshop is essential for high-efficient production scheduling. Due to the limited transportation resources, the joint scheduling of production and transportation has emerged as a pivotal issue in modern manufacturing. This paper investigates a joint scheduling of hybrid flow-shop with limited automatic guided vehicles (HFSP-LAGV), which extends the classical hybrid flow-shop scheduling by considering the limited number of the AGVs on the transportation resources. To solve such problem, a mixed integer linear programming (MILP) model is firstly built to formulate HFSP-LAGV. Then, a hierarchical learning-based swarm optimizer (HLSO) is proposed. An encoding and decoding method based on three dispatch rules is proposed. The framework of HLSO comprises a pyramid-based layering strategy, an inter-layer learning and an intra-layer learning. The pyramid-based layering strategy divides the swarm into several layers. In the inter-layer learning, the individuals in higher layers guide the evolution of individuals in lower layers to achieve the exploration of global area. In the intra-layer learning, an offline Q-learning-based local search is designed to implement the self-learning of elite individuals in higher layer to intensify the exploitation of the local area. A Q-learning model that has been pre-trained offline is used to guide the selection of appropriate operator of local search. Experimental results reveal the effectiveness of the designs and the superiority of HLSO over several well-performing methods on solving HFSP-LAGV.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110686"},"PeriodicalIF":6.7,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662111","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

Modelling for resource risk propagation in dynamic heterogeneous project portfolio network 动态异构项目组合网络中的资源风险传播建模

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-11-05 DOI: 10.1016/j.cie.2024.110683

Libiao Bai , Tiantian Tang , Yichen Sun , Xiaoyan Xie , Chenshuo Wang

引用次数: 0

A novel healthcare 4.0 system for testing respiratory diseases based on nanostructured biosensors and fog networking 基于纳米结构生物传感器和雾网络的新型呼吸系统疾病检测 4.0 系统

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-11-04 DOI: 10.1016/j.cie.2024.110698

Islam Asem Salah Abusohyon , Giuseppe Aiello , Cinzia Muriana , Maria Giuseppina Bruno , Bernardo Patella , Maria Ferraro , Serena Di Vincenzo , Chiara Cipollina , Elisabetta Pace , Rosalinda Inguanta , Mo’men Abu Sahyoun

{"title":"A novel healthcare 4.0 system for testing respiratory diseases based on nanostructured biosensors and fog networking","authors":"Islam Asem Salah Abusohyon , Giuseppe Aiello , Cinzia Muriana , Maria Giuseppina Bruno , Bernardo Patella , Maria Ferraro , Serena Di Vincenzo , Chiara Cipollina , Elisabetta Pace , Rosalinda Inguanta , Mo’men Abu Sahyoun","doi":"10.1016/j.cie.2024.110698","DOIUrl":"10.1016/j.cie.2024.110698","url":null,"abstract":"<div><div>New digital healthcare models based on advanced bio-sensing technologies are regarded as a possible solution to improve the screening and prevention processes and the overall performance of healthcare supply chains. This is particularly relevant for respiratory diseases, which are currently among the first causes of death and medical expenditures in industrialized countries. This research proposes a new e-health model based on a fog architecture and a smart device, enabling remote diagnostics of respiratory diseases and allowing for decentralized patient testing and self-testing. According to such a model, the patients’ testing is executed through the analysis of the exhaled breath collected using a smart device based on a novel nanostructured sensor and transferring relevant information to the medical staff involved in the diagnosis process. This research proposes an original testing method and system, validated in the lab through a comparative analysis of culture media samples collected from healthy patients, and subsequently exposed to cigarette smoke extract (CSE, an inducer of oxidative stress). The preliminary results obtained demonstrate the validity of the approach proposed, encouraging further experimental analyses on human patients for the implementation into clinical practice.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110698"},"PeriodicalIF":6.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662105","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