Computers & Industrial Engineering最新文献_第9页

Integrated design optimization for internal, external pipeline networks and equipment in gas storage injection and production system 储气注采系统内部、外部管网及设备的集成设计优化

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-28 DOI: 10.1016/j.cie.2025.111074

Jun Zhou , Zichen Li , Shitao Liu , Chengyu Li , Yunxiang Zhao , Zonghang Zhou , Jinghong Peng , Guangchuan Liang

{"title":"Integrated design optimization for internal, external pipeline networks and equipment in gas storage injection and production system","authors":"Jun Zhou , Zichen Li , Shitao Liu , Chengyu Li , Yunxiang Zhao , Zonghang Zhou , Jinghong Peng , Guangchuan Liang","doi":"10.1016/j.cie.2025.111074","DOIUrl":"10.1016/j.cie.2025.111074","url":null,"abstract":"<div><div>Due to the high investment, this highlights the pivotal role of the surface injection and production system (SIPS) in the construction of underground natural gas storage (UNGS), effective optimization design is crucial for the sustainable development. This paper focuses on the precise structure for optimization, providing a detailed analysis of internal pipelines (INPIPE) in stations and considering interconnection with external pipelines (EXPIPE). To meet the gas injection and production requirements, an integrated parameter optimization design model is developed to minimize the total investment of the SIPS, comprehensively considers boundary conditions such as pressure and flow rates, systematically designs equipment selection. This paper proposes the hybrid modified feasible directions method (HMFDM) and hybrid sequential quadratic programming (HSQP) algorithms to practical case studies. The results indicate that the HMFDM algorithm achieves an investment saving of 12.2203 × 10<sup>4</sup> CNY compared to the HSQP algorithm, highlighting its remarkable efficiency. Through comparative analysis, identifies an optimal pipeline network topology scheme and single pipeline mode is most effective under specific parameter conditions. These validate the reliability of the integrated parameter optimization design model as well as its effectiveness in reducing investments of SIPS.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111074"},"PeriodicalIF":6.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760954","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

Linking forward and backward product quality in a manufacturing/remanufacturing inventory system with price-quality-dependent demand and return rates 将制造/再制造库存系统中的前向和后向产品质量与依赖于价格质量的需求和退货率联系起来

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-28 DOI: 10.1016/j.cie.2025.111072

Mohammad Pazouki , Mohamad Y. Jaber , Hamid Afshari

{"title":"Linking forward and backward product quality in a manufacturing/remanufacturing inventory system with price-quality-dependent demand and return rates","authors":"Mohammad Pazouki , Mohamad Y. Jaber , Hamid Afshari","doi":"10.1016/j.cie.2025.111072","DOIUrl":"10.1016/j.cie.2025.111072","url":null,"abstract":"<div><div>The concepts of remanufacturing and reusing products in a reverse supply chain have garnered significant attention in recent decades. Numerous studies have focused on creating frameworks to model and optimize manufacturing/remanufacturing strategies and inventory levels, accounting for forward and reverse flows. Economic Order/Production/Manufacture Quantity models have consistently provided a solid foundation for scholars to design and enhance closed-loop supply chains across various industries. However, one crucial aspect often overlooked in the literature is the initial quality level of the product and its relationship with the end-of-use quality of returns. Higher quality levels allow for extracting more value from returned items but also demand more investment and higher prices. This study presents a model that addresses the link between forward and reverse quality while ensuring cost-effectiveness. It models the impact of product quality and selling price on demand as observed in practice. It also considers an acceptable return period, aligning with what is commonly practiced in the industry by well-known companies. The findings emphasize the importance of linking forward quality with salvage value and indicate that disregarding this connection can lead to suboptimal strategies. Several numerical analyses and randomized simulations were conducted to explore the model’s behavior and the influence of key factors on the outcomes. The results indicate that producing at a quality level above the minimum standard is not only more environmentally friendly (thanks to increased returns and remanufacturing) but also tends to be more profitable in most cases. The developed model will aid decision-makers in developing optimal supply chain designs and identifying effective remanufacturing and reverse supply chain strategies.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111072"},"PeriodicalIF":6.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783623","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

SOT-FER: A multi-tier entropy-based time series forecasting framework with an application to manufacturing 基于多层熵的时间序列预测框架及其在制造业中的应用

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-28 DOI: 10.1016/j.cie.2025.111071

Milton Soto-Ferrari

{"title":"SOT-FER: A multi-tier entropy-based time series forecasting framework with an application to manufacturing","authors":"Milton Soto-Ferrari","doi":"10.1016/j.cie.2025.111071","DOIUrl":"10.1016/j.cie.2025.111071","url":null,"abstract":"<div><div>Accurate forecasting is crucial for manufacturing systems’ production planning, inventory management, and resource allocation. However, managing multiple time-series datasets of varying complexity poses significant challenges, as traditional statistical models often fail to capture intricate patterns, and more advanced deep learning approaches—though powerful—can be computationally expensive. Nonetheless, these cutting-edge approaches are not always necessary since more straightforward machine learning (ML) techniques can achieve comparable performance in many cases. Therefore, balancing accuracy with efficiency thus requires identifying when to escalate to sophisticated models. This study introduces the System for Operational Time-series Forecasting and Entropy-based Review (SOT-FER), which uses a suite of entropy measures (Shannon, spectral, dispersion, permutation, and multiscale) alongside assessments of trend, seasonality, residual variability, and stationarity to quantify time-series complexity. SOT-FER employs hierarchical clustering to group series by level of pattern intricacy and guides the selective application of forecasting methods designated in tiers. Tier A features established statistical and ML models (State Space Exponential Smoothing, AutoRegressive Integrated Moving Average, Theta, Prophet, K-Nearest Neighbors, and Random Forest), while Tier B considers Long Short-Term Memory (LSTM) networks exclusively for the most challenging series. Applied to a real-world dataset of 128 monthly demand patterns from a U.S.-based manufacturing corporation, SOT-FER accurately pinpoints where advanced methods deliver significant gains, showcasing that selective Tier A + Tier B deployment improved forecast accuracy by over 50 % compared to a naïve baseline. This data-driven framework offers a scalable roadmap for improving forecasting strategies across diverse contexts by categorizing series according to inherent complexity.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111071"},"PeriodicalIF":6.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854917","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

MUH: Maximum-uncertainty-heuristic method of modeling belief function 最大不确定性启发式信念函数建模方法

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-28 DOI: 10.1016/j.cie.2025.111067

Zihan Yu , Zhen Li , Guohui Zhou , Yong Deng

引用次数: 0

The generalized energy-aware flexible job shop scheduling model: A constraint programming approach 广义能量感知柔性作业车间调度模型：一种约束规划方法

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-27 DOI: 10.1016/j.cie.2025.111065

Hajo Terbrack , Thorsten Claus

{"title":"The generalized energy-aware flexible job shop scheduling model: A constraint programming approach","authors":"Hajo Terbrack , Thorsten Claus","doi":"10.1016/j.cie.2025.111065","DOIUrl":"10.1016/j.cie.2025.111065","url":null,"abstract":"<div><div>Taking up the ongoing shift towards green production, this article addresses energy-oriented flexible job shop scheduling. Existing approaches mainly focus on single objectives in terms of energy utilization such as minimizing energy consumption. However, production control can affect multiple energy-related criteria. Therefore, we propose a flexible job shop scheduling model to minimize real-time pricing-related energy costs, peak demand and energy-related emissions. Motivated by the reported preeminence of Constraint Programming (CP) for a variety of scheduling problems, we extend a CP formulation for our study. To evaluate potential contradictory between energy objectives, we present nine objective functions by means of different lexicographic orders. In addition, we enhance the proposed scheduling model to account for sequence-dependent setup and due dates. To analyze and compare the effectiveness of the different model formulations, we present computational experiments for 20 small-, medium- and large-sized problem instances. Our study indicates that productivity can be maximized while, on average, energy costs are reduced by 5.3%, peak demand by 11.8%, emissions by 8.3% compared to traditional job scheduling. However, partly conflicting objectives require the decision maker to select the objective function most suitable to the individual needs. Including setup effort and due date compliance into energy-aware scheduling is possible and needed to make the concept of energy-aware scheduling applicable to industrial practice. We show that the additional aspects limit the potential improvement. Hence, it is crucial to understand such complex scheduling systems combining energy awareness, setup and due date compliance.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111065"},"PeriodicalIF":6.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738620","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

Two-phase optimization modelling with swarm computation and biomimetic intelligence learning for neural network training 基于群计算和仿生智能学习的神经网络两阶段优化建模

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-26 DOI: 10.1016/j.cie.2025.111058

Zhen-Yao Chen

{"title":"Two-phase optimization modelling with swarm computation and biomimetic intelligence learning for neural network training","authors":"Zhen-Yao Chen","doi":"10.1016/j.cie.2025.111058","DOIUrl":"10.1016/j.cie.2025.111058","url":null,"abstract":"<div><div>This study aims to enhance the tuning efficiency of radial basis function neural network (RNt) through the self-organized map (SOM) neural network (SOMnt) mode and several swarm intelligence (SI) algorithms. Next, ant colony optimization (ACO)-inspired approach and artificial immune system (AIS)-inspired approaches is integrated into the integration of ACO-inspired and AIS-inspired approaches (IACI) algorithm, which is then applied to RNt for modulation. The proposed two-phase hybrid of SOMnt mode and IACI algorithm (HSACI) method, offers diversity and incorporates intensive solutions to achieve optimized explication. The population variety characteristic demonstrates a higher success rate in reaching global extreme values in the five nonlinear function problems, replacing restricted local extreme values. The verification results indicate that the combination of SOMnt mode, ACO-inspired, and AIS-inspired approaches is a distinctive method and accordingly a two-phase HSACI method is proposed, which is capable to adjust to the best precision among relevant algorithms in this paper. The method is then evaluated on five nonlinear function problems as well as the results from an actual laptop demand forecasting exercise in Taiwan. The results demonstrate that the proposed two-phase HSACI method outperforms the relevant algorithms and the Box-Jenkins models in term of precision.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111058"},"PeriodicalIF":6.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724474","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

A novel nonlinear time-varying grey prediction framework for green transformation of manufacturing industry: Modeling of a non-equidistant perspective 制造业绿色转型的非线性时变灰色预测框架：非等距视角建模

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-26 DOI: 10.1016/j.cie.2025.111068

Shiwei Zhou , Yufeng Zhao , Xuemei Li , Rui Han

引用次数: 0

Joint optimization of route and frequency with flexible rail pricing in a container intermodal 集装箱多式联运中灵活定价的路线和频次联合优化

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-26 DOI: 10.1016/j.cie.2025.111070

Xichun Chen, Xiaopeng Tian, Shiya Cheng, Huimin Niu

{"title":"Joint optimization of route and frequency with flexible rail pricing in a container intermodal","authors":"Xichun Chen, Xiaopeng Tian, Shiya Cheng, Huimin Niu","doi":"10.1016/j.cie.2025.111070","DOIUrl":"10.1016/j.cie.2025.111070","url":null,"abstract":"<div><div>This paper focuses on how to optimize road-rail-combined routes and container-train-associated frequencies for effectively delivering freight demands from origins to destinations in a container intermodal network. Unlike common single-rate rail pricing contracts, we employ a flexible rail pricing (FRP) contract which depends on freight carrying volumes and average loading rates within the corresponding rail subnetwork. With the help of the formulated FRP requirements, a bi-objective integer programming model is developed for this problem, aiming to minimize the total freight transportation cost and maximize the total rail net profit. Further, we tackle the nonlinear constraints caused by FRP through the big-M method. The model, with the purpose of enhancing applicability and flexibility, is then extended to incorporate actual route selection rules. By using the ε-constraint method, the obtained bi-objective models are transformed into single-objective forms, which are addressed with state-of-the-art commercial solvers and heuristic strategies. Finally, we perform several different-sized numerical experiments to validate the efficiency and effectiveness of the proposed approach.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111070"},"PeriodicalIF":6.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767848","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 for hybrid flow shop with energy-efficiency and machine preventive maintenance in sheet metal manufacturing system 薄板制造系统中具有节能和机器预防性维护的混合流程车间调度

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-26 DOI: 10.1016/j.cie.2025.111050

Yan Ge , Hao Ding , Aimin Wang , Haigen Yang , Yinlu Wang

{"title":"Scheduling for hybrid flow shop with energy-efficiency and machine preventive maintenance in sheet metal manufacturing system","authors":"Yan Ge , Hao Ding , Aimin Wang , Haigen Yang , Yinlu Wang","doi":"10.1016/j.cie.2025.111050","DOIUrl":"10.1016/j.cie.2025.111050","url":null,"abstract":"<div><div>Hybrid flow shop scheduling (HFSS) is widely used in actual workshop production processes and is an important means of reducing delivery time, increasing cost savings, and improving production efficiency and quality. In this study, a HFSS with machining-speed-based energy efficiency and machine preventive maintenance (HFSE-PM) was investigated in the context of sheet metal processing, filling the gap in existing related researches. Based on the characteristics of HFSE-PM, the concepts of virtual machines, conventional machine maintenance, and effective machine maintenance were applied, and a linear programming model was established to minimize the makespan and total energy consumption of the machines. An improved teaching- and learning-based optimization (I-TLBO) algorithm framework was designed, in which a two-stage encoding operator, a decoding operator based on scenario evaluation, five types of neighborhood search operators in three phases, and a phased large-scale mutation strategy were also designed to generate initial solutions, avoid poor quality solutions, perform local optimization, and perform global optimization, respectively. Computational experiments demonstrated the effectiveness of the proposed model and the superiority of the proposed neighborhood search operators. In a comparison with three other excellent algorithms for solving similar problems, the superiority of I-TLBO in providing HFSE-PM was demonstrated. The model and research method constructed are not only applicable to production scheduling problems in the sheet metal processing industry but also to all practical production scheduling applications that can be modeled as HFSE-PM, HFSE, HFSS-PM, and HFSS.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111050"},"PeriodicalIF":6.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748594","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

E-retail platform or wholesale strategy for a manufacturer developing a market channel 制造商开发市场渠道的电子零售平台或批发策略

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2025-03-25 DOI: 10.1016/j.cie.2025.111078

Heng Du

{"title":"E-retail platform or wholesale strategy for a manufacturer developing a market channel","authors":"Heng Du","doi":"10.1016/j.cie.2025.111078","DOIUrl":"10.1016/j.cie.2025.111078","url":null,"abstract":"<div><div>Compared with the conventional wholesale mode, the e-retail platform has been regarded as an important alternative for a manufacturer building a market channel. Motivated by the observation, this paper develops two models to investigate a manufacturer’s e-retail platform and wholesale strategies by the methods of mathematics optimization and game theory. We first focus on the issue of whether to enter an e-retail platform for an upstream manufacturer. The manufacturer’s decisions and profits under two scenarios are contrasted. Next, a supply chain with a third party logistics provider, a manufacturer and an e-commerce platform is considered. We further explore how a third party logistics and channel power affect the manufacturer’s strategy motivation. Three strategies are examined including the wholesale strategy, the manufacturer-led e-commerce strategy, and the e-commerce strategy led by the third party. It is found that: (i) even though the online platform charge is large, the manufacturer should still insist on the e-retail strategy; (ii) if the manufacturer’s logistics service is provided by a third party, the platform charge and the logistics service cost simultaneously affect the manufacturer’s strategy choice motivation; (iii) in the e-retail environment, the manufacturer should utilize his own channel power to extract more channel profits if the platform fee is not large; otherwise, the manufacturer should give up the channel influence advantage.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"204 ","pages":"Article 111078"},"PeriodicalIF":6.7,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738621","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