Management and Production Engineering Review最新文献

The Effect of Green Maintenance on Environmental Performance Applied Research in the General Company for Oil Products 绿色维修对油品总公司环境绩效的影响及应用研究

Management and Production Engineering Review Pub Date : 2023-11-08 DOI: 10.24425/mper.2023.147192

引用次数: 0

Development and application of a decision making tool for fault diagnosis of turbocompressor basedon Bayesian network and fault tree 基于贝叶斯网络和故障树的涡轮压气机故障诊断决策工具的开发与应用

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/mper.2019.129565

Abdelaziz Lakehal, mourad nahal, Riad Harouz

引用次数: 6

142405 142405

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/mper.2022.142405

引用次数: 0

Complaint management system in building material factory 建材厂投诉管理系统

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.128243

M. Cieśla

引用次数: 1

A comparison of different redundancy based methods to solve the project scheduling problem with probabilistic activivies duration 基于不同冗余度的工程项目工期概率调度方法比较

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.129600

N. R. Ortiz-Pimiento, Francisco Javier Díaz-Serna

引用次数: 0

Implementing Monte Carlo simulation model for revenue forecasting under the impact of risk and uncertainty 在风险和不确定性影响下实现蒙特卡罗模拟模型的收益预测

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.131448

Z. Hussain

{"title":"Implementing Monte Carlo simulation model for revenue forecasting under the impact of risk and uncertainty","authors":"Z. Hussain","doi":"10.24425/MPER.2019.131448","DOIUrl":"https://doi.org/10.24425/MPER.2019.131448","url":null,"abstract":"Received: 28 August 2018 Abstract Accepted: 30 November 2019 In the existent world of continuous production systems, strong attention has been waged to anonymous risk that probably generates significant apprehension. The forecast for net present value is extremely important for any production plant. The objective of this paper is to implement Monte Carlo simulation technique for perceiving the impact of risk and uncertainty in prediction and forecasting company’s profitability. The production unit under study is interested to make the initial investment by installing an additional spray dryer plant. The expressive values acquied from the Monte Carlo technique established a range of certain results. The expected net present value of the cash flow is $14,605, hence the frequency chart outcomes confirmed that there is the highest level of certainty that the company will achieve its target. To forecast the net present value for the next period, the results confirmed that there are 50.73% chances of achieving the outcomes. Considering the minimum and maximum values at 80% certainty level, it was observed that 80% chances exist that expected outcomes will be between $5,830 and $22,587. The model’s sensitivity results validated that cash inflows had a greater sensitivity level of 21.1% and the cash inflows for the next year as 19.7%. Cumulative frequency distribution confirmed that the probability to achieve a maximum value of $23,520 is 90 % and for the value of $6,244 it is about 10 %. These validations suggested that controlling the expenditures, the company’s outflows can also be controlled definitely.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"10 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68951488","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: 7

Application of Instance-Based Learning for Cast Iron Casting Defects Prediction 实例学习在铸铁铸件缺陷预测中的应用

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.131450

Robert Sika, Damian Szajewski, J. Hajkowski, P. Popielarski

{"title":"Application of Instance-Based Learning for Cast Iron Casting Defects Prediction","authors":"Robert Sika, Damian Szajewski, J. Hajkowski, P. Popielarski","doi":"10.24425/MPER.2019.131450","DOIUrl":"https://doi.org/10.24425/MPER.2019.131450","url":null,"abstract":"Received: 23 May 2019 Abstract Accepted: 26 November 2019 The paper presents an example of Instance-Based Learning using a supervised classification method of predicting selected ductile cast iron castings defects. The test used the algorithm of k-nearest neighbours, which was implemented in the authors’ computer application. To ensure its proper work it is necessary to have historical data of casting parameter values registered during casting processes in a foundry (mould sand, pouring process, chemical composition) as well as the percentage share of defective castings (unrepairable casting defects). The result of an algorithm is a report with five most possible scenarios in terms of occurrence of a cast iron casting defects and their quantity and occurrence percentage in the casts series. During the algorithm testing, weights were adjusted for independent variables involved in the dependent variables learning process. The algorithms used to process numerous data sets should be characterized by high efficiency, which should be a priority when designing applications to be implemented in industry. As it turns out in the presented mathematical instance-based learning, the best quality of fit occurs for specific values of accepted weights (set #5) for number k = 5 nearest neighbours and taking into account the search criterion according to “product index”.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"10 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68951792","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: 10

Increasing the Efficiency of the Production Process by Production Levelling 通过生产平准提高生产过程的效率

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/mper.2019.129572

P. Rewers, M. Bozek, Wojciech Kulus

引用次数: 6

Generalized Utilization-Based Similarity Coefficient for Machine-Part Grouping Problem in Cellular Manufacturing 基于广义利用的元胞制造机件分组问题相似系数

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.131449

Tamal Ghosh

{"title":"Generalized Utilization-Based Similarity Coefficient for Machine-Part Grouping Problem in Cellular Manufacturing","authors":"Tamal Ghosh","doi":"10.24425/MPER.2019.131449","DOIUrl":"https://doi.org/10.24425/MPER.2019.131449","url":null,"abstract":"This article intends to justify the gap in the research of similarity coeﬃcient driven approach- es and cell formation problems (CFP) based on ratio data in cellular manufacturing systems (CMS). The actual implication of ratio data was vaguely addressed in past literature, which has been corrected recently. This research considered that newly projected CFP based on ration data. This study further revealed the lack of interest of researchers in investigation for an appropriate and improved similarity coeﬃcient primarily for CFP based on ratio data. For that matter a novel similarity coeﬃcient named as Generalized Utilization-based Simi- larity Coeﬃcient (GUSC) is introduced, which scientiﬁcally handles ratio data. Thereafter a two-stage cell formation technique is adopted. First, the proposed GUSC based method is employed to obtained eﬃcient machine cells. Second, a novel part allocating heuristic is proposed to obtain eﬀective part families. This proposed approach is successfully veriﬁed on the test problems and compared with algorithms based on another similarity coeﬃcient and a recent metaheuristic. The proposed method is shown to obtain 66.67% improved solutions.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"10 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68951651","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: 1

Nanostructured Wear-Resistant Coatings Based On Refractory Metals Nitrides: Physical-Mechanical Properties and Structural-Phase State 基于难熔金属氮化物的纳米结构耐磨涂层:物理力学性能和结构相态

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.131453

A. Panda, K. Dyadyura, Tatyana Hovorun, O. Pylypenko, M. Dunaeva, I. Pandová

引用次数: 2