International Journal of Industrial Engineering Computations最新文献

Multi-fidelity simulation optimization for production releasing in re-entrant mixed-flow shops 可重入混流车间产品发布的多保真度仿真优化

IF 3.3 3区工程技术

International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI: 10.5267/j.ijiec.2022.9.004

Zhengmin Zhang, Z. Guan, L. Yue

引用次数: 0

An efficient production planning approach based demand driven MRP under resource constraints 资源约束下基于需求驱动MRP的高效生产计划方法

IF 3.3 3区工程技术

International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI: 10.5267/j.ijiec.2023.5.003

Guangyan Xu, Z. Guan, L. Yue, Jabir Mumtaz

{"title":"An efficient production planning approach based demand driven MRP under resource constraints","authors":"Guangyan Xu, Z. Guan, L. Yue, Jabir Mumtaz","doi":"10.5267/j.ijiec.2023.5.003","DOIUrl":"https://doi.org/10.5267/j.ijiec.2023.5.003","url":null,"abstract":"Production plans based on Material Requirement Planning (MRP) frequently fall short in reflecting actual customer demand and coping with demand fluctuations, mainly due to the rising complexity of the production environment and the challenge of making precise predictions. At the same time, MRP is deficient in effective adjustment strategies and has inadequate operability in plan optimization. To address material management challenges in a volatile supply-demand environment, this paper creates a make-to-stock (MTS) material production planning model that is based on customer demand and the demand-driven production planning and control framework. The objective of the model is to optimize material planning output under resource constraints (capacity and storage space constraints) to meet the fluctuating demand of customers. To solve constrained optimization problems, the demand-driven material requirements planning (DDMRP) management concept is integrated with the grey wolf optimization (GWO) algorithm and proposed the DDMRP-GWO algorithm. The proposed DDMRP-GWO algorithm is used to optimize the inventory levels, shortage rates, and production line capacity utilization simultaneously. To validate the effectiveness of the proposed approach, two sets of customer demand data with different levels of volatility are used in experiments. The results demonstrate that the DDMRP-GWO algorithm can optimize the production capacity allocation of different types of parts under the resource constraints, enhance the material supply level, reduce the shortage rate, and maintain a stable production process.","PeriodicalId":51356,"journal":{"name":"International Journal of Industrial Engineering Computations","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87645821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

MaOTLBO: Many-objective teaching-learning-based optimizer for control and monitoring the optimal power flow of modern power systems 基于多目标教-学的现代电力系统最优潮流控制与监测优化器

IF 3.3 3区工程技术

International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI: 10.5267/j.ijiec.2023.1.003

Pradeep Jangir, P. Manoharan, Sundaram B. Pandya, R. Sowmya

{"title":"MaOTLBO: Many-objective teaching-learning-based optimizer for control and monitoring the optimal power flow of modern power systems","authors":"Pradeep Jangir, P. Manoharan, Sundaram B. Pandya, R. Sowmya","doi":"10.5267/j.ijiec.2023.1.003","DOIUrl":"https://doi.org/10.5267/j.ijiec.2023.1.003","url":null,"abstract":"This paper recommends a new Many-Objective Teaching-Learning-Based Optimizer (MaOTLBO) to handle the Many-Objective Optimal Power Flow (MaO-OPF) problem of modern complex power systems while meeting different operating constraints. A reference point-based mechanism is utilized in the basic version of Teacher Learning-Based Optimizer (TLBO) to formulate the MaOTLBO algorithm and directly applied to DTLZ test benchmark functions with 5, 7, 10-objectives and IEEE-30 bus power system with six different objective functions, namely the minimization of the voltage magnitude deviation, total fuel cost, voltage stability indicator, total emission, active power loss, and reactive power loss. The results obtained from the MaOTLBO optimizer are compared with the well-known standard many-objective algorithms, such as the Multi-Objective Evolutionary Algorithm based on Decomposition with Dynamical Resource Allocation (MOEA/D-DRA) and Non-Dominated Sorting Genetic Algorithm-version-III (NSGA-III) presented in the literature. The results show the ability of the proposed MaOTLBO to solve the MaO-OPF problem in terms of convergence, coverage, and well-Spread Pareto optimal solutions. The experimental outcomes indicate that the suggested MaOTLBO gives improved individual output and compromised solutions than MOEA/D-DRA and NSGA-III algorithms.","PeriodicalId":51356,"journal":{"name":"International Journal of Industrial Engineering Computations","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89802015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 5

Assembly line balancing with cobots: An extensive review and critiques 装配线与协作机器人的平衡:广泛的回顾和批评

3区工程技术

International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI: 10.5267/j.ijiec.2023.7.001

Parames Chutima

{"title":"Assembly line balancing with cobots: An extensive review and critiques","authors":"Parames Chutima","doi":"10.5267/j.ijiec.2023.7.001","DOIUrl":"https://doi.org/10.5267/j.ijiec.2023.7.001","url":null,"abstract":"Industry 4.0 encourages industries to digitise the manufacturing system to facilitate human-robot collaboration (HRC) to foster efficiency, agility and resilience. This cutting-edge technology strikes a balance between fully automated and manual operations to maximise the benefits of both humans and assistant robots (known as cobots) working together on complicated and prone-to-hazardous tasks in a collaborative manner in an assembly system. However, the introduction of HRC poses a significant challenge for assembly line balancing since, besides typical assigning tasks to workstations, the other two important decisions must also be made regarding equipping workstations with appropriate cobots as well as scheduling collaborative tasks for workers and cobots. In this article, the cobot assembly line balancing problem (CoALBP), which just initially emerged a few years ago, is thoroughly reviewed. The 4M1E (i.e., man, machine, material, method and environment) framework is applied for categorising the problem to make the review process more effective. All of the articles reviewed are compared, and their key distinct features are summarised. Finally, guidelines for additional studies on the CoALBP are offered.","PeriodicalId":51356,"journal":{"name":"International Journal of Industrial Engineering Computations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135784220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1

Investigating the collective impact of postponement, scrap, and external suppliers on multiproduct replenishing decision 调查延迟，报废和外部供应商对多产品补充决策的总体影响

IF 3.3 3区工程技术

International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI: 10.5267/j.ijiec.2022.9.001

Yuan-Shyi P. Chiu, Zhongsheng Zhao, Fan-Yun Pai, Tiffany Chiu

{"title":"Investigating the collective impact of postponement, scrap, and external suppliers on multiproduct replenishing decision","authors":"Yuan-Shyi P. Chiu, Zhongsheng Zhao, Fan-Yun Pai, Tiffany Chiu","doi":"10.5267/j.ijiec.2022.9.001","DOIUrl":"https://doi.org/10.5267/j.ijiec.2022.9.001","url":null,"abstract":"This study examines the collective impact of postponement, scrap, and subcontracting standard components on the multiproduct replenishing decisions. Rapid response, desirable quality, and various goods guide the client’s demands in today’s competitive market. Therefore, many manufacturing firms search for alternative fabrication and outsourcing strategies during the production planning stage to satisfy the client’s expectations, minimize fabrication-inventory costs, and smoothen machine utilization. To effectively help producers meet today's client's needs and enhance their competitive advantage, we develop a two-stage multiproduct replenishing system incorporating scraps, standard parts subcontracting, commonality, and delayed differentiation. To reduce the production uptime, stage one has a hybrid fabrication process for the common components (i.e., a partial outsourcing strategy), and stage two manufactures the finished multiproduct. In-house fabrication processes in both stages are imperfect; a screening process detects and removes scraps to maintain the finished batch quality. We determine the cost-minimized operating cycle. The findings reveal the collective impact of postponement, scrap, and external suppliers on this multi-product replenishment problem and can be used to facilitate production planning and decision-making.","PeriodicalId":51356,"journal":{"name":"International Journal of Industrial Engineering Computations","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73618028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1

Impact of dual uptime-reducing strategies, postponement, multi-delivery, and rework on a multiproduct fabrication-shipping problem 双重正常运行时间减少策略、延迟、多次交付和返工对多产品制造运输问题的影响

IF 3.3 3区工程技术

International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI: 10.5267/j.ijiec.2023.1.001

Yuan-Shyi Peter Chiu, Tingting Yan, S. Chiu, Hui-Chi Wang, Tiffany Chiu

{"title":"Impact of dual uptime-reducing strategies, postponement, multi-delivery, and rework on a multiproduct fabrication-shipping problem","authors":"Yuan-Shyi Peter Chiu, Tingting Yan, S. Chiu, Hui-Chi Wang, Tiffany Chiu","doi":"10.5267/j.ijiec.2023.1.001","DOIUrl":"https://doi.org/10.5267/j.ijiec.2023.1.001","url":null,"abstract":"This study examines the joint impact of outsourcing, overtime, multi-delivery, rework, and postponement on a multiproduct fabrication problem. A growing/clear trend in today’s customer requirements turned into rapid response and desired quality of multi-merchandises and multiple fixed-amount deliveries in equal-interval time. To satisfy customers’ expectations, current manufacturing firms must effectively design/plan their multiproduct production scheme with minimum fabrication-inventory-shipping expenses and under confined capacity. Motivated by assisting manufacturing firms in making the right production decision, this study develops a decision-support delayed-differentiation model considering multi-shipment, rework, and dual uptime-reducing strategies (namely, overtime and outsourcing). Our delayed-differentiation model comprises stage one, which makes all common/standard parts of multi-end-merchandises, and stage two, which produces multiple end merchandise. For cutting making times, the study proposes subcontracting a portion of the common/standard part’s lot size and adopting overtime-making end merchandise in stage two. The screening and reworking tasks identify and repair faulty items to ensure customers’ desired quality. The finished lots of end merchandise are divided into a few equal-amount shipments and distributed to customers in equal-interval time. We employ mathematical derivation and optimization methodology to derive the annual expected fabrication- inventory-shipping expense and the cost-minimized production-shipping policy. A numerical demonstration is presented to exhibit our research scheme’s applicability and exposes the studied problem’s critical managerial insights, which help the management make beneficial decisions.","PeriodicalId":51356,"journal":{"name":"International Journal of Industrial Engineering Computations","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79205860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing 最小化以质量保证、故障概率、加班和外包为特征的制造系统的运营支出

IF 3.3 3区工程技术

International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI: 10.5267/j.ijiec.2022.10.001

Yuanshyi Peter Chiu, S. Chiu, Fan-Yun Pai, Victoria Chiu

{"title":"Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing","authors":"Yuanshyi Peter Chiu, S. Chiu, Fan-Yun Pai, Victoria Chiu","doi":"10.5267/j.ijiec.2022.10.001","DOIUrl":"https://doi.org/10.5267/j.ijiec.2022.10.001","url":null,"abstract":"Production management operating in recent competitive marketplaces must satisfy the client desired quality and shorter order lead-time and avoid internal fabricating disruption caused by inevitable defects and stochastic equipment failures. Achieving these operational tasks without undesirable quality goods, missing due dates, and fabrication interruption help the management minimize operating expenditures. Motivated by assisting manufacturing firms in the situations mentioned this study explores a manufacturing system that features quality reassurances through reworking or removal of defectives, correction of probabilistic failures, and partial overtime and outsourcing options for reducing uptime. This study finds the function of system operating expenditures through model building, mathematical formulations, optimization approaches, and algorithm proposition, shows its convexity, and derives the optimal batch time for the studied manufacturing model. Finally, this study offers numerical illustrations to confirm our work’s applicability and disclose its capability to provide various profound crucial system information that helps the management make strategic operating decisions.","PeriodicalId":51356,"journal":{"name":"International Journal of Industrial Engineering Computations","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73075837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 dynamic scheduling method with Conv-Dueling and generalized representation based on reinforcement learning 一种基于强化学习的卷积决斗和广义表示的动态调度方法

3区工程技术

International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI: 10.5267/j.ijiec.2023.6.003

Minghao Xia, Haibin Liu, Mingfei Li, Long Wang

{"title":"A dynamic scheduling method with Conv-Dueling and generalized representation based on reinforcement learning","authors":"Minghao Xia, Haibin Liu, Mingfei Li, Long Wang","doi":"10.5267/j.ijiec.2023.6.003","DOIUrl":"https://doi.org/10.5267/j.ijiec.2023.6.003","url":null,"abstract":"In modern industrial manufacturing, there are uncertain dynamic disturbances between processing machines and jobs which will disrupt the original production plan. This research focuses on dynamic multi-objective flexible scheduling problems such as the multi-constraint relationship among machines, jobs, and uncertain disturbance events. The possible disturbance events include job insertion, machine breakdown, and processing time change. The paper proposes a conv-dueling network model, a multidimensional state representation of the job processing information, and multiple scheduling objectives for minimizing makespan and delay time, while maximizing the completion punctuality rate. We design a multidimensional state space that includes job and machine processing information, an efficient and complete intelligent agent scheduling action space, and a compound scheduling reward function that combines the main task and the branch task. The unsupervised training of the network model utilizes the dueling-double-deep Q-network (D3QN) algorithm. Finally, based on the multi-constraint and multi-disturbance production environment information, the multidimensional state representation matrix of the job is used as input and the optimal scheduling rules are output after the feature extraction of the conv-dueling network model and decision making. This study carries out simulation experiments on 50 test cases. The results show the proposed conv-dueling network model can quickly converge for DQN, DDQN, and D3QN algorithms, and has good stability and universality. The experimental results indicate that the scheduling algorithm proposed in this paper outperforms DQN, DDQN, and single scheduling algorithms in all three scheduling objectives. It also demonstrates high robustness and excellent comprehensive scheduling performance.","PeriodicalId":51356,"journal":{"name":"International Journal of Industrial Engineering Computations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135784222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1

A kernel-free L1 norm regularized ν-support vector machine model with application 无核L1范数正则化支持向量机模型及其应用

3区工程技术

International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI: 10.5267/j.ijiec.2023.8.002

Junyuan Xiao, Guoyi Liu, Min Huang, Zhihua Yin, Zheming Gao

{"title":"A kernel-free L1 norm regularized ν-support vector machine model with application","authors":"Junyuan Xiao, Guoyi Liu, Min Huang, Zhihua Yin, Zheming Gao","doi":"10.5267/j.ijiec.2023.8.002","DOIUrl":"https://doi.org/10.5267/j.ijiec.2023.8.002","url":null,"abstract":"With a view to overcoming a few shortcomings resulting from the kernel-based SVM models, these kernel-free support vector machine (SVM) models are newly promoted and researched. With the aim of deeply enhancing the classification accuracy of present kernel-free quadratic surface support vector machine (QSSVM) models while avoiding computational complexity, an emerging kernel-free ν-fuzzy reduced QSSVM with L1 norm regularization model is proposed. The model has well-developed sparsity to avoid computational complexity and overfitting and has been simplified as these standard linear models on condition that the data points are (nearly) linearly separable. Computational tests are implemented on several public benchmark datasets for the purpose of showing the better performance of the presented model compared with a few known binary classification models. Similarly, the numerical consequences support the more elevated training effectiveness of the presented model in comparison with those of other kernel-free SVM models. What`s more, the presented model is smoothly employed in lung cancer subtype diagnosis with good performance, by using the gene expression RNAseq-based lung cancer subtype (LUAD/LUSC) dataset in the TCGA database.","PeriodicalId":51356,"journal":{"name":"International Journal of Industrial Engineering Computations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135784226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1

Fitness landscape analysis of the simple assembly line balancing problem type 1 简单装配线平衡问题类型的适应度景观分析

3区工程技术

International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI: 10.5267/j.ijiec.2023.9.005

Somayé Ghandi, Ellips Masehian

{"title":"Fitness landscape analysis of the simple assembly line balancing problem type 1","authors":"Somayé Ghandi, Ellips Masehian","doi":"10.5267/j.ijiec.2023.9.005","DOIUrl":"https://doi.org/10.5267/j.ijiec.2023.9.005","url":null,"abstract":"As the simple assembly line balancing problem type 1 (SALBP1) has been proven to be NP-hard, heuristic and metaheuristic approaches are widely used for solving middle to large instances. Nevertheless, the characteristics (fitness landscape) of the problem’s search space have not been studied so far and no rigorous justification for implementing various metaheuristic methods has been presented. Aiming to fill this gap in the literature, this study presents the first comprehensive and in-depth Fitness Landscape Analysis (FLA) study for SALBP1. The FLA was performed by generating a population of 1000 random solutions and improving them to local optimal solution, and then measuring various statistical indices such as average distance, gap, entropy, amplitude, length of the walk, autocorrelation, and fitness-distance among all solutions, to understand the complexity, structure, and topology of the solution space. We solved 83 benchmark problems with various cycle times taken from Scholl’s dataset which required 83000 local searches from initial to optimal solutions. The analysis showed that locally optimal assembly line balances in SALBP1 are distributed nearly uniformly in the landscape of the problem, and the small average difference between the amplitudes of the initial and optimal solutions implies that the landscape was almost plain. In addition, the large average gap between local and global solutions showed that global optimum solutions in SALBP1 are difficult to find, but the problem can be effectively solved using a single-solution-based metaheuristic to near-optimality. In addition to the FLA, a new mathematical formulation for the entropy (diversity) of solutions in the search space for SALBP1 is also presented in this paper.","PeriodicalId":51356,"journal":{"name":"International Journal of Industrial Engineering Computations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135784227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1