{"title":"A combination of PSO-ANN hybrid algorithm and genetic algorithm to optimize technological parameters during milling 2017A alloy","authors":"Kamel Bousnina, Anis Hamza, N. Ben yahia","doi":"10.1080/21681015.2023.2243312","DOIUrl":"https://doi.org/10.1080/21681015.2023.2243312","url":null,"abstract":"ABSTRACT Numerically controlled machine tools are commonly used in metalworking processes due to their precision and reproducibility. However, finding the appropriate cutting parameters and machining process using simple machining features is limited, as parts may have complex interacting machining features. This study contributes to solving this problem by integrating PSO-ANN hybrid algorithm and genetic algorithm, to predict and optimize roughness, cost, and energy consumption for interactive features. From the research carried out, it was found that the output variables were highly correlated, with coefficients above 0.97%. In addition, it was demonstrated that proper selection of machining techniques and sequences could lead to a significant reduction in energy consumption, with a 99.25% variation between minimum and maximum values. The genetic algorithm identified the optimum cutting parameters, namely Vc = 25.45 m/min, f = 0.111 mm/rev, and ap = 0.58 mm, which led to a considerable improvement in the results obtained. Graphical Abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"554 - 571"},"PeriodicalIF":4.5,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43456006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Opportunistic maintenance modeling for series production systems based on bottleneck by considering energy consumption and market demand","authors":"A. Salmasnia, Amir Shabani","doi":"10.1080/21681015.2023.2234377","DOIUrl":"https://doi.org/10.1080/21681015.2023.2234377","url":null,"abstract":"ABSTRACT Nowadays, series production systems are broadly used in various branches of industry. In these kinds of production systems, any disruption in production flow can significantly increase production cost and time; therefore, a proper maintenance strategy considerably reduces the company’s costs and enhance organizational performance. In this research, a novel bottleneck-centered opportunistic maintenance policy for a series production line is proposed. First of all, the bottleneck is detected by the Lowest Production Rate method. Then, preventive maintenance time interval, reliability threshold, and number of maintenance cycles are determined by the particle swarm optimization algorithm. Finally, a novel opportunistic maintenance strategy is proposed based on analyzing the cost savings of preventive maintenance advancement and postponement. To demonstrate the model’s effectiveness, the proposed bottleneck-based opportunistic maintenance model is compared with two other maintenance models, and the results confirmed that the proposed strategy could efficiently eliminate unnecessary production breaks and achieve cost reduction. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"506 - 518"},"PeriodicalIF":4.5,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46300361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stefan Pajović, B. Radičević, Tanja Miodragović, Jovana Perić
{"title":"ACOUSTIC PROPERTIES OF HIGHLY ELASTIC POLYURETHANE FOAM VAPEN HR 3744","authors":"Stefan Pajović, B. Radičević, Tanja Miodragović, Jovana Perić","doi":"10.24867/jpe-2023-01-013","DOIUrl":"https://doi.org/10.24867/jpe-2023-01-013","url":null,"abstract":"Within this research, testing of the acoustic properties of polyurethane foam samples was conducted. The measurement of the absorption coefficient was performed using the transfer function method in an impedance tube, according to the SRPS EN ISO 10534-2:2008 standard. The tested samples represent highly elastic polyurethane foam of low density, with sample thickness ranging from 10 mm to 100 mm. The research results indicate the potential application of polyurethane foam in areas that require efficient sound insulation or noise control, particularly in the mid-frequency range. Therefore, polyurethane foam can be considered an excellent material with acoustic properties that exceed expectations within the given frequency range.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"1 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82170015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PRODUCT PROFITABILITY ASSESSMENT","authors":"V. Todić, Bojanić Ranko","doi":"10.24867/jpe-2023-01-019","DOIUrl":"https://doi.org/10.24867/jpe-2023-01-019","url":null,"abstract":"Product profitability assessment is one of the strategic management tools used in planning and managing product costs, or target profit. Product cost planning and management unfold as early as the development phase, as well as during the adoption of modern production processes. Target profit and product competitiveness on the market require continuous monitoring of market prices, as well as managing costs incurred in the production process. The paper presents the methodology used for product profitability assessment, which is based on the evaluation of product costs and maintaining competitive market prices.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"48 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75348331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Rodić, Marin Gostimirović, M. Sekulić, B. Savković, Anđelko Aleksić, D. Kukolj
{"title":"ANALSYS OF DEFECT LAYER IN ELECTRICAL DISCHARGE MACHINING OF NON-CONDUCTIVE CERAMIC","authors":"D. Rodić, Marin Gostimirović, M. Sekulić, B. Savković, Anđelko Aleksić, D. Kukolj","doi":"10.24867/jpe-2023-01-024","DOIUrl":"https://doi.org/10.24867/jpe-2023-01-024","url":null,"abstract":"The aim of the research is to describe a new approach for processing non-conductive ceramics. A method of electrical discharge machining with an assisting electrode is presented, which allows the machining of zirconium ceramics. An analysis of the defective layer, i.e., the recast layer and the heat-affected zone, was performed. Two parameters, discharge current and pulse duration, were chosen to study the effects on the thickness of the defect layer. The test results show that increasing the discharge current and pulse duration increases the thickness of the defect layer. This is due to the increase of discharge energy, which causes more heat in the machining zone. Future research can be directed to the analysis of a larger number of test points to see a better dependence between the machining parameters and the thickness of the defect layer.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"71 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83972684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"GEOMETRIC ANALYSIS AND DESIGN OF FLAT FORM TOOLS","authors":"Sándor Bodzás","doi":"10.24867/jpe-2023-01-001","DOIUrl":"https://doi.org/10.24867/jpe-2023-01-001","url":null,"abstract":"Form tool means a cutting tool which is appropriate manufacturing of workpieces having more complicated geometry. The contour of manufactured workpiece is manufactured by the tool profile. This cutting tool can be used in case of serial and quantity production. The advantageous of their usage are the lower turning time and the lower standard deviation of the workpiece sizes. The reached accuracy on the workpiece is independent from the qualification of the worker. The aim of this publication is the explanation of the geometric analysis and the design by analytical and constructional way. This type of tool is advantageously usable for manufacturing on CNC machine or conventional machine.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"199 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89931041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Additive manufacturing of metallic biomaterials: sustainability aspect, opportunity, and challenges","authors":"Pralhad Pesode, S. Barve","doi":"10.1080/21681015.2023.2229341","DOIUrl":"https://doi.org/10.1080/21681015.2023.2229341","url":null,"abstract":"ABSTRACT The use of cutting-edge techniques is beneficial for the research and development of biomaterials and the production of new sustainable biomaterials. Eco-friendly biomaterials should be promoted. As prospective substitutes for conventional materials, a variety of biomaterials have been conceived and produced to date and successfully used in various biomedical disciplines. The sustainability component in the additive manufacturing of biomaterials is the main goal of this article. There is discussion of various metallic biomaterials, including titanium, stainless steel, magnesium, cobalt-chromium alloy, zinc, tantalum etc. The effects of several additive manufacturing techniques on sustainability are examined. Also, the properties of additive manufactured biomaterials and sustainability aspect of biomaterials are discussed in detail. By reducing material waste and using time and energy efficiently, additive manufacturing can assist to lower costs and having less harmful effects on the environment. This article discussed sustainability aspects of different additive manufacturing techniques used for manufacturing of biomaterials. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"464 - 505"},"PeriodicalIF":4.5,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47146043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of train formation plan based on technical station under railcar demand fluctuation","authors":"Bing Li, Shangtao Jiang, Yanjie Zhou, H. Xuan","doi":"10.1080/21681015.2023.2221699","DOIUrl":"https://doi.org/10.1080/21681015.2023.2221699","url":null,"abstract":"ABSTRACT Train formation planning (TFP) is essential for rail freight logistics services. The fluctuation of railcar flows dramatically compared with before the outbreak of COVID-19. This paper studies train formation planning, considering three types of train services provided for railcar flow between pairs of technical stations (TS), including direct trains, district trains, and pickup trains. This paper introduces an optimization model with average railcars flow data (OMAD) and an optimization model with dynamic railcars flow data (OMDD) for the train formation planning based on TS under railcar demand fluctuation while minimizing railcar-hour consumption. The OMAD is a deterministic model, and the OMDD is a probability constraint model. To solve the OMDD, an approach for transforming probability constraints into deterministic constraints is presented. Various groups of scenarios are given to verify the effectiveness of the proposed models. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"448 - 463"},"PeriodicalIF":4.5,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49157449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Ghobakhloo, M. Iranmanesh, M. Tseng, Andrius Grybauskas, A. Stefanini, A. Amran
{"title":"Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values","authors":"M. Ghobakhloo, M. Iranmanesh, M. Tseng, Andrius Grybauskas, A. Stefanini, A. Amran","doi":"10.1080/21681015.2023.2216701","DOIUrl":"https://doi.org/10.1080/21681015.2023.2216701","url":null,"abstract":"ABSTRACT This study addresses the emerging concept of Industry 5.0, which aims to tackle societal concerns associated with the ongoing digital industrial transformation. However, there is still a lack of consensus on the definition and scope of Industry 5.0, as well as limited understanding of its technological components, design principles, and intended values. To bridge these knowledge gaps, the study conducts a content-centric review of relevant literature and synthesizes evidence to develop an architectural design for Industry 5.0. The findings reveal that Industry 5.0 represents the future of industrial transformation, offering potential solutions to socio-economic and environmental issues that were inadequately addressed or exacerbated by Industry 4.0. The study provides managers, industrialists, and policymakers with a comprehensive overview of Industry 5.0, including its technological constituents, design principles, and smart components, emphasizing the importance of stakeholder involvement and integration for effective governance of digital industrial transformation within this framework.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"432 - 447"},"PeriodicalIF":4.5,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45260398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammadreza Eslamipirharati, F. Jolai, A. Aghsami
{"title":"A Bi-objective two-stage stochastic optimization model for sustainable reverse supply chain network design under carbon tax policy and government subsidy considering product quality","authors":"Mohammadreza Eslamipirharati, F. Jolai, A. Aghsami","doi":"10.1080/21681015.2023.2213688","DOIUrl":"https://doi.org/10.1080/21681015.2023.2213688","url":null,"abstract":"ABSTRACT There is a growing concern over environmental pollution resulting from the production. Moreover, the expansion of various industries has led to an increased demand for raw materials. To address these challenges, this paper aims to investigate the bi-objective optimization of a sustainable reverse supply chain network while considering two key sources of uncertainty in the returned product quality and the remanufacturing capacity. Additionally, the study considers the effects of carbon tax policies and government subsidies on remanufactured products, while also focusing on three important sustainability aspects - economic, social, and environmental. The study uses two quality thresholds at inspection centers to sort products, and the epsilon constraint and NSGA-II are applied to solve the model. Through numerical analysis, the research demonstrates that objective functions are sensitive to uncertain parameters and minimum acceptable quality levels. Furthermore, the study reveals that government subsidies can offset the negative effects of carbon tax policies. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"411 - 431"},"PeriodicalIF":4.5,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46435782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}