Advances in Production Engineering & Management最新文献_第7页

Fuel gas operation management practices for reheating furnace in iron and steel industry 钢铁工业加热炉燃气运行管理规范

IF 3.6 3区工程技术

Advances in Production Engineering & Management Pub Date : 2020-06-30 DOI: 10.14743/apem2020.2.357

D. Chen, Y. H. Liu, S. He, S. Xu, F. Dai, B. Lu

{"title":"Fuel gas operation management practices for reheating furnace in iron and steel industry","authors":"D. Chen, Y. H. Liu, S. He, S. Xu, F. Dai, B. Lu","doi":"10.14743/apem2020.2.357","DOIUrl":"https://doi.org/10.14743/apem2020.2.357","url":null,"abstract":"How to evaluate the fuel gas operation (FGO) of various working groups (WGs) and working shifts (WSs) in reheating furnace is still ambiguous problem. In this paper, a novelty time-series FGO evaluation model was proposed. The strategy mainly included: Firstly, the fuel gas per ton steel (FGTS) was calculated in certain time interval; Secondly, the FGTS time-series data set was formulated in statistical period; Thirdly, the FGTS time-series data set was divided according to working schedule; Lastly, the FGO evaluation model was established. Case study showed that: i) The fuel gas operation evaluation results of various WGs in different WSs were accorded with normal distribution; ii) For various WGs, A WG performed best, followed by C WG and D WG. The performance of B WG was the worst due to its violent fluctuation of fuel gas operation evaluation results in three WSs; iii) For different WSs, the day WS and swing WS performed well, whereas the performance of night WS was unsatisfactory. Discussion results showed that the improvement of working skills, working responsibility and working passion, which were effective measure to achieve energy saving in terms of operation, should be enhanced through skills training and the reward and punishment system. Generally, this novelty time-series FGO evaluation method could also be applied to other industrial equipment. © 2020 CPE, University of Maribor. All rights reserved.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":"99 1","pages":"179-191"},"PeriodicalIF":3.6,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80929256","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: 4

Improvement of logistics in manufacturing system by the use of simulation modelling: A real industrial case study 利用仿真建模改进制造系统中的物流:一个真实工业案例研究

IF 3.6 3区工程技术

Advances in Production Engineering & Management Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.346

M. Straka, S. Khouri, R. Lenort, P. Besta

引用次数: 17

Estimating the position and orientation of a mobile robot using neural network framework based on combined square-root cubature Kalman filter and simultaneous localization and mapping 基于联合平方根立方卡尔曼滤波和同步定位映射的神经网络框架估计移动机器人的位置和姿态

IF 3.6 3区工程技术

Advances in Production Engineering & Management Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.347

D. Wang, K. Tan, Y. Dong, G. Yuan, X. Du

{"title":"Estimating the position and orientation of a mobile robot using neural network framework based on combined square-root cubature Kalman filter and simultaneous localization and mapping","authors":"D. Wang, K. Tan, Y. Dong, G. Yuan, X. Du","doi":"10.14743/apem2020.1.347","DOIUrl":"https://doi.org/10.14743/apem2020.1.347","url":null,"abstract":"The real‐time performance of target tracking, detection, and positioning behaves not well for non‐Gaussian and nonlinear model with circumstance uncertainty. The weak observability of the system under large noise causes the algorithm unstable and slow to converge. A new estimation algorithm combining square‐root cubature Kalman filter (SRCKF) with simultaneous localization and mapping (SLAM) is proposed. By connecting neural network weights, network input, functional types and ideal output network, the algo‐ rithm firstly update iteratively the SRCKF‐SLAM state model and observation model, then conduct the cubature point estimate (weights) neural network framework. Thus, a point set better representing the target state and a more accurate state estimation are achieved, which can improve the filtering accu‐ racy. This paper also estimates robot and characteristic states by filtering in groups. The simulation results showed that the proposed algorithm is feasible and effective. Compared with other filtering algorithms such as SRUKF and SRCDKF, it improves the estimation accuracy. Applying the new algorithm to the position filtering estimation of mobile robot can effectively reduce the positioning error, achieve high‐precision tracking detection, and improve the accuracy of robot target detection. © 2020 CPE, University of Maribor. All rights reserved.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":"17 1","pages":"31-43"},"PeriodicalIF":3.6,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80585490","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: 4

A comparison of the tolerance analysis methods in the open-loop assembly 开环装配公差分析方法的比较

IF 3.6 3区工程技术

Advances in Production Engineering & Management Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.348

P. Kosec, S. Škec, D. Miler

引用次数: 10

Neuro-mechanistic model for cutting force prediction in helical end milling of metal materials layered in multiple directions 多方向分层金属材料螺旋立铣削切削力预测的神经机制模型

IF 3.6 3区工程技术

Advances in Production Engineering & Management Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.345

U. Župerl, F. Čuš, A. Zawada-Tomkiewicz, K. Stępień

{"title":"Neuro-mechanistic model for cutting force prediction in helical end milling of metal materials layered in multiple directions","authors":"U. Župerl, F. Čuš, A. Zawada-Tomkiewicz, K. Stępień","doi":"10.14743/apem2020.1.345","DOIUrl":"https://doi.org/10.14743/apem2020.1.345","url":null,"abstract":"In machining of multi‐layer metal materials used frequently for the manufac‐ ture of transfer sheet‐metal forming tools, the cutting edge is often damaged because of cutting force peaks. Therefore, a neuro‐mechanistic model, pre‐ sented in this paper, has been created for accurate prediction of cutting forces in helical end milling of multidirectional layered materials. The generalized model created takes into account the complex geometry of the helical end milling cutter, the instantaneous chip thickness and the direction of deposit‐ ing of the individual layer of the multidirectional layered material considered in the calculation through predicted specific cutting forces. For the prediction of specific cutting forces for individual layers a neural network is incorpo‐ rated in the model. The comparison with experimental data shows that the model predicts accurately the flow of cutting force in milling of multidirec‐ tional layered metal materials for any combination of cutting parameters, tool engagement angle and directions of depositing three layers of material. The predicted cutting force values agree well with the values obtained, the maxi‐ mum error of predicted cutting forces is 16.1 % for all comparison tests per‐ formed. © 2020 CPE, University of Maribor. All rights reserved.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":"13 1","pages":"5-17"},"PeriodicalIF":3.6,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89435947","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: 8

Awareness and readiness of Industry 4.0: The case of Turkish manufacturing industry 工业4.0的意识和准备:土耳其制造业的案例

IF 3.6 3区工程技术

Advances in Production Engineering & Management Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.349

T. Sari, H. K. Gules, B. Yiğitol

{"title":"Awareness and readiness of Industry 4.0: The case of Turkish manufacturing industry","authors":"T. Sari, H. K. Gules, B. Yiğitol","doi":"10.14743/apem2020.1.349","DOIUrl":"https://doi.org/10.14743/apem2020.1.349","url":null,"abstract":"The concept Industry 4.0 (I4.0) represents intelligent production processes combining cyber and physical systems through a set of technologies such as internet of things, big data and cloud computing. Transition to Industry 4.0 is expected to cause formidable structural changes, productivity increments and competitiveness in manufacturing industry in all over the world. This study aimed to investigate the general approach to the concept of Industry 4.0 and levels of adoption of the basic Industry 4.0 technologies in manufacturing firms across Turkey. For this purpose, a survey was conducted with 427 firms with various sizes (micro, small, medium and large) operating in six subsectors (automotive; electronic; machinery; chemical; food; and textile) of Turkish manufacturing. The paper examined nine I4.0 technologies: autonomous robots, big data applications, cloud computing, cyber security, simulation approaches, additive manufacturing, system integration, internet of things, and augmented reality. The results revealed that, there is a significant correlation between the degrees of importance and implementation of the basic Industry 4.0 technologies. Moreover, I4.0 implementation degree increases as the firm size increases. The top three industries in Turkish manufacturing that use the most basic Industry 4.0 technologies are automotive industry, electrical and electronics, and machinery, respectively. The analyses are aimed to achieve a better understanding of the concept Industry 4.0 by comparing different groups of manufacturers. © 2020 CPE, University of Maribor. All rights reserved.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":"45 1","pages":"57-68"},"PeriodicalIF":3.6,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78375603","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: 31

Assembly transport optimization for a reconfigurable flow shop based on a discrete event simulation 基于离散事件模拟的可重构流水车间装配运输优化

IF 3.6 3区工程技术

Advances in Production Engineering & Management Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.350

S. Yang, Z. G. Xu, G. Z. Li, J. Y. Wang

{"title":"Assembly transport optimization for a reconfigurable flow shop based on a discrete event simulation","authors":"S. Yang, Z. G. Xu, G. Z. Li, J. Y. Wang","doi":"10.14743/apem2020.1.350","DOIUrl":"https://doi.org/10.14743/apem2020.1.350","url":null,"abstract":"Reconfigurable Manufacturing Systems (RMSs) are widely used to produce small batches of customized products in the current manufacturing environment. We comprehensively optimized the assembly transport strategy, production process, and production configuration of a reconfigurable flow shop (RFS). Firstly, three assembly transfer strategies, one-to-one, one-to-many, and many-to-many, are proposed for an RFS, given the specific process limitations. In addition, a production simulation model of the RFS is established by the Plant Simulation software to verify and compare those three strategies with realistic production constraints considered. Moreover, the production processes are optimized, and the optimal buffer configuration and vehicle configuration are optimized by the design of experiment (DOE) method. After the optimization processes, the throughput and facility utilization under each strategy increases significantly. Additionally, the optimal buffer size and vehicle quantity under each strategy are determined and compared. The one-to-one strategy can maximize the production output, but it requires the most production resources. In addition, the many-to-many strategy is more efficient than the one-to-many strategy. Our study provides a variety of assembly transport strategies for an RFS and offers an efficient optimization method for production performance and production configuration.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":"65 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88986076","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: 10

Integrated management systems based on risk assessment: Methodology development and case studies 基于风险评估的综合管理系统:方法开发和案例研究

IF 3.6 3区工程技术

Advances in Production Engineering & Management Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.352

S. Vulanović, M. Delić, Bato Kamberović, I. Beker, B. Lalic

{"title":"Integrated management systems based on risk assessment: Methodology development and case studies","authors":"S. Vulanović, M. Delić, Bato Kamberović, I. Beker, B. Lalic","doi":"10.14743/apem2020.1.352","DOIUrl":"https://doi.org/10.14743/apem2020.1.352","url":null,"abstract":"The implementation of management systems in organizations is often based on a “blind” meeting of requirements set by the selected standard, while these requirements are not in direct relation to the risks of the organizations. Therefore, it often happens that the established management system is not operational or is not aligned with the context and real needs of the organization. This paper presents general model for the design of an integrated management system based on risk assessment of organization’s processes. The model was based on the primary hypothesis that a process that has a higher risk should be described in more detail in order to be adequately realized. The presented Model was tested on three diverse companies which had already implemented management systems according to international standards. Comparing the existing with the projected documentation in three companies, it was concluded that the number, scope and structure of documented information were optimized for successful risk management, which lowers the overall costs and enables efficient management of the company. The paper provides scientific approach and methodology for designing the integrated management system in any organization, using existing risks as universal integrating factor. © 2020 CPE, University of Maribor. All rights reserved.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":"154 1","pages":"93-106"},"PeriodicalIF":3.6,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86276805","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: 10

The impact of using different lean manufacturing tools on waste reduction 使用不同的精益生产工具对减少浪费的影响

IF 3.6 3区工程技术

Advances in Production Engineering & Management Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.351

I. Leksic, N. Štefanić, I. Veza

{"title":"The impact of using different lean manufacturing tools on waste reduction","authors":"I. Leksic, N. Štefanić, I. Veza","doi":"10.14743/apem2020.1.351","DOIUrl":"https://doi.org/10.14743/apem2020.1.351","url":null,"abstract":"Lean and green production was introduced to the western manufacturing industry nearly thirty years ago. The essence of the new business model was to eliminate waste through lean tools according to Taiichi Ohno’s eight cate‐ gories of waste. Many companies became more competitive with waste reduc‐ tion techniques but some of them faced, and still are facing failures. Such failures are closely related with misapplication of lean and green tools, and its sequential order of implementation. In order to define most powerful lean tools for reduction of certain types of waste, a study was made among lean companies. The concept of a study was to define best lean toolbox for reduc‐ tion of each category of waste and to determine right sequential order of lean tools implementation. Stepwise multiple regression model revealed that Total Productive Maintenance, Poka‐Yoke, Kaizen, 5S, Kanban, Six Big Losses, Heijunka, Takt Time, Andon, OEE, SMED, and KPIs are best waste management techniques. Nevertheless, it has been demonstrated that 5S, Kaizen, Kanban, Poka‐Yoke and TPM are highly recommended for start of every lean manufac‐ turing initiative. © 2020 CPE, University of Maribor. All rights reserved.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":"33 1","pages":"81-92"},"PeriodicalIF":3.6,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87211386","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: 55

Communication and validation of metrological smart data in IoT-networks 物联网中计量智能数据的通信与验证

IF 3.6 3区工程技术

Advances in Production Engineering & Management Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.353

B. Ačko, H. Weber, D. Hutzschenreuter, I. Smith

{"title":"Communication and validation of metrological smart data in IoT-networks","authors":"B. Ačko, H. Weber, D. Hutzschenreuter, I. Smith","doi":"10.14743/apem2020.1.353","DOIUrl":"https://doi.org/10.14743/apem2020.1.353","url":null,"abstract":"An Internet of Things–network (IoT– network) allows for the communication of data both within the network and to data hubs. However, the usefulness of the data depends on its ability to be interpreted correctly. For metrology data, effective use of the data is only possible if the numerical value, associated unit and uncertainty, expressed in a standard format, are also available. In order to develop, provide and distribute a formal framework for the transmission of metrology data on the basis of the International System of Units, European project EMPIR 17IND02 SmartCom was agreed between the European Com‐ mission and the European Association of National Metrology Institutes (Euramet). The SmartCom project aims to provide the methodological and technical foundation for the unambiguous, universal, safe and uniform com‐ munication of metrological smart data in the IoT and Industry 4.0. The project will increase the industrial capabilities and the provision of regulations for data exchange in the IoT. It will also assist countries within the European Union (EU) and those with an association agreement with the EU in develop‐ ing products that are able to communicate in IoT environments worldwide. In addition to describing the general ideas and aims of the project, this article presents the research results achieved in the first midterm period. © 2020 CPE, University of Maribor. All rights reserved.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":"80 1","pages":"107-117"},"PeriodicalIF":3.6,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89340099","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: 18