Management and Production Engineering Review最新文献_第9页

A Data Mining Approach for Analysis of a Wire Electrical Discharge Machining Process 线材放电加工过程分析的数据挖掘方法

IF 1.4

Management and Production Engineering Review Pub Date : 2023-07-20 DOI: 10.24425/mper.2021.138536

S. Dandge, S. Chakraborty

{"title":"A Data Mining Approach for Analysis of a Wire Electrical Discharge Machining Process","authors":"S. Dandge, S. Chakraborty","doi":"10.24425/mper.2021.138536","DOIUrl":"https://doi.org/10.24425/mper.2021.138536","url":null,"abstract":"Wire electrical discharge machining (WEDM) is a non-conventional material-removal process where a continuously travelling electrically conductive wire is used as an electrode to erode material from a workpiece. To explore its fullest machining potential, there is always a requirement to examine the eﬀects of its varied input parameters on the responses and resolve the best parametric setting. This paper proposes parametric analysis of a WEDM process by applying non-parametric decision tree algorithm, based on a past experimental dataset. Two decision tree-based classiﬁcation methods, i.e. classiﬁcation and regression tree (CART) and Chi-squared automatic interaction detection (CHAID) are considered here as the data mining tools to examine the inﬂuences of six WEDM process parameters on four responses, and identify the most preferred parametric mix to help in achieving the desired response values. The developed decision trees recognize pulse-on time as the most indicative WEDM process parameter impacting almost all the responses. Furthermore, a comparative analysis on the classiﬁcation performance of CART and CHAID algorithms demonstrates the superiority of CART with higher overall classiﬁcation accuracy and lower prediction risk.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42523814","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}

引用次数: 0

Human and Equipment Risk Factors Evaluation in Horizontal Directional Drilling Technology Using Failure Mode and Effect Analysis 基于失效模式和效果分析的水平定向钻井技术人员和设备风险因素评价

IF 1.4

Management and Production Engineering Review Pub Date : 2023-07-20 DOI: 10.24425/MPER.2021.137677

Adam Krechowicz, W. Gierulski, Stephen Loneragan, H. Kruse

{"title":"Human and Equipment Risk Factors Evaluation in Horizontal Directional Drilling Technology Using Failure Mode and Effect Analysis","authors":"Adam Krechowicz, W. Gierulski, Stephen Loneragan, H. Kruse","doi":"10.24425/MPER.2021.137677","DOIUrl":"https://doi.org/10.24425/MPER.2021.137677","url":null,"abstract":"Horizontal Directional Drilling (HDD) technology is a highly complex process connected with high risk and uncertainty due the high variability underground strata, often limited access to specialised equipment, dynamic natural environment, technical disruptions, human factor and changes in economic environment that further complicate the gathering of reliable information and data. This work presents a new risk evaluation model tailored for HDD technology, in which failure mode and eﬀect analysis (FMEA) modelling were applied. This paper focuses on 15 human risk factors and 9 equipment risk factors in HDD technology. The proposed approach takes into account not only the probability of the risk factor occurrence, but also its severity and the possibility of detecting faults, which were not clearly separated and analyzed in the previous works. Application of the proposed model shows the relationship between occurrence, severity and detection for the analyzed failures. Moreover, many detection possibilities for the identiﬁed failures were presented. The calculated risk priority numbers allowed to rank HDD failures and identify the most critical risks for which one should look for risk treatment possibilities beyond risk cause reduction, such as risk eﬀect reduction, risk transfer, risk elimination or active risk retention.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42169106","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}

引用次数: 4

Literature review on emissions from additive manufacturing by FDM method and their impact on human health FDM法增材制造排放及其对人类健康影响的文献综述

IF 1.4

Management and Production Engineering Review Pub Date : 2023-07-20 DOI: 10.24425/MPER.2020.134933

A. Karwasz, F. Osiński

引用次数: 5

An open source framework for the storage and reuse of industrial knowledge through the integrationof PLM and MES 通过集成PLM和MES来存储和重用工业知识的开源框架

IF 1.4

Management and Production Engineering Review Pub Date : 2023-07-20 DOI: 10.24425/MPER.2020.133729

G. Bruno, Alberto Faveto, Emiliano Traini

{"title":"An open source framework for the storage and reuse of industrial knowledge through the integrationof PLM and MES","authors":"G. Bruno, Alberto Faveto, Emiliano Traini","doi":"10.24425/MPER.2020.133729","DOIUrl":"https://doi.org/10.24425/MPER.2020.133729","url":null,"abstract":"Received: 16 March 2020 Abstract Accepted: 6 June 2020 Today, the changes in market requirements and the technological advancements are influencing the product development process. Customers demand a product of high quality and fast delivery at a low price, while simultaneously expecting that the product meet their individual needs and requirements. For companies characterized by a highly customized production, it is essential to reduce the trial-and-errors cycles to design new products and process. In such situation most of the company’s knowledge relies on the lessons learnt by operators in years of work experience, and their ability to reuse this knowledge to face new problems. In order to develop unique product and complex processes in short time, it is mandatory to reuse the acquired information in the most efficient way. Several commercial software applications are already available for product lifecycle management (PLM) and manufacturing execution system (MES). However, these two applications are scarcely integrated, thus preventing an efficient and pervasive collection of data and the consequent creation of useful information. The aim of this paper is to develop a framework able to structure and relate information from design and execution of processes, especially the ones related to anomalies and critical situations occurring at the shop floor, in order to reduce the time for finalizing a new product. The framework has been developed by exploiting open source systems, such as ARAS PLM and PostgreSQL. A case study has been developed for a car prototyping company to illustrate the potentiality of the proposed solution.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46842166","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}

引用次数: 2

The Impact of the Enterprise Management System on the Energy Efficiency of Auxiliary Processes 企业管理体系对辅助过程能效的影响

IF 1.4

Management and Production Engineering Review Pub Date : 2023-07-20 DOI: 10.24425/mper.2022.140871

Ł. Grudzień, F. Osiński

{"title":"The Impact of the Enterprise Management System on the Energy Efficiency of Auxiliary Processes","authors":"Ł. Grudzień, F. Osiński","doi":"10.24425/mper.2022.140871","DOIUrl":"https://doi.org/10.24425/mper.2022.140871","url":null,"abstract":"The consumption of various forms of primary and secondary energy is one of the main sources of greenhouse gas emissions to the atmosphere. Also, the increase in the prices of energy resources is an important factor aﬀecting the economic proﬁtability of running a business organization. Legal requirements in the European Union also aﬀect the need to implement appropriate solutions aimed at increasing energy eﬃciency, which translates into the need of implementing Energy Management Systems, based the ISO 50001 standard, in many enterprises.. In the case study presented in the article, which is based on a company from the energy industry in Poland, the most important Energy Performance Indexes and the impact of the quality of their information on the results obtained were reviewed. In the analyzed example, the main process used only 28% of the total energy consumption in the organization. Insuﬃcient attention to auxiliary processes led to an undercut of Energy Performance by nearly 11% in the ﬁrst year of operation. It is partic-ularly important to properly collect data on auxiliary processes, which are very often omitted or treated in general in companies, and as shown may constitute a signiﬁcant share in the total amount of energy consumed.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46728596","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}

引用次数: 0

Simulation Modeling in Production Effectiveness Improvement – Case Study 生产效率改进中的仿真建模-案例研究

IF 1.4

Management and Production Engineering Review Pub Date : 2023-07-20 DOI: 10.24425/MPER.2021.137680

A. Burduk, Dagmara Łapczyńska, P. Popiel

引用次数: 2

Industry 4.0 Implementation and Industry 5.0 Readiness in Industrial Enterprises 工业企业的工业4.0实施和工业5.0准备

IF 1.4

Management and Production Engineering Review Pub Date : 2023-07-20 DOI: 10.24425/mper.2022.142387

Laura Lachvajderová, J. Kádárová

引用次数: 5

Evaluation of the Results of Support for Schools by Manufacturing Enterprises – a Competence Management Aiding Model 制造企业对学校支持效果的评价——一个能力管理辅助模型

IF 1.4

Management and Production Engineering Review Pub Date : 2023-07-20 DOI: 10.24425/mper.2022.142059

M. Szafrański

引用次数: 1

The role of product cost deployment in the early product management methodology within the WCM system– a case study 产品成本部署在WCM系统早期产品管理方法中的作用——一个案例研究

IF 1.4

Management and Production Engineering Review Pub Date : 2023-07-20 DOI: 10.24425/mper.2020.136116

A. Mróz

引用次数: 0

Prioritizing and Scheduling of Production Orders in Non-homogenous Production Systems 非同质生产系统中生产订单的优先级排序

IF 1.4

Management and Production Engineering Review Pub Date : 2023-07-20 DOI: 10.24425/mper.2022.140877

Bożena Skołud, A. Szopa, K. Kalinowski

{"title":"Prioritizing and Scheduling of Production Orders in Non-homogenous Production Systems","authors":"Bożena Skołud, A. Szopa, K. Kalinowski","doi":"10.24425/mper.2022.140877","DOIUrl":"https://doi.org/10.24425/mper.2022.140877","url":null,"abstract":"The aim of the work was to develop a prioritizing and scheduling method to be followed in small and medium-sized companies operating under conditions of non-rhythmic and non-repeatable production. A system in which make to stock, make to order and engineer to order (MTS, MTO and ETO) tasks are carried out concurrently, referred to as a non-homogenous system, has been considered. Particular types of tasks have diﬀerent priority indicators. Processes involved in the implementation of these tasks are dependent processes, which compete for access to resources. The work is based on the assumption that the developed procedure should be a universal tool that can be easily used by planners. It should also eliminate the intuitive manner of prioritizing tasks while providing a fast and easy to calculate way of obtaining an answer, i.e. a ready plan or schedule. As orders enter the system on an ongoing basis, the created plan and schedule should enable fast analysis of the result and make it possible to implement subsequent orders appearing in the system. The investigations were based on data from the non-homogenous production system functioning at the Experimental Plant of the Łukasiewicz Research Network – Institute of Ceramics and Building Materials, Refractory Materials Division – ICIMB. The developed procedure includes the following steps: 1 – Initial estimation of resource availability, 2 – MTS tasks planning, 3 – Production sys-tem capacity analysis, 4 – ETO tasks planning, 5 – MTO orders planning, 6 – Evaluation of the obtained schedule. The scheduling procedure is supported by KbRS (Knowledge-based Rescheduling System), which has been modiﬁed in functional terms for the needs of this work assumption.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45016590","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}

引用次数: 0