Digital Performance Management: An Evaluation of Manufacturing Performance Management and Measurement Strategies in an Industry 4.0 Context

被引:0
作者
Smith, Nathaniel David [1 ]
Hovanski, Yuri [1 ]
Tenny, Joe [2 ]
Bergner, Sebastian [3 ]
机构
[1] Brigham Young Univ, Dept Mfg Engn, Provo, UT 84602 USA
[2] Northrup Grumman Space Syst, 9160 UT-83, Corinne, UT 84307 USA
[3] PTC Inc, 121 Seaport Blvd, Boston, MA 02210 USA
关键词
Industry; 4.0; performance management; manufacturing; Industrial Internet of Things; IIoT; overall equipment effectiveness; OEE; digital performance management; DPM; INTERNET; THINGS; OEE;
D O I
10.3390/machines12080555
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Manufacturing management and operations place heavy emphasis on monitoring and improving production performance. This supervision is accomplished through strategies of manufacturing performance management, a set of measurements and methods used to monitor production conditions. Over the last 30 years, the most prevalent measurement of traditional performance management has been overall equipment effectiveness, a percentile summary metric of a machine's utilization. The technologies encapsulated by Industry 4.0 have expanded the ability to gather, process, and store vast quantities of data, creating the opportunity to innovate on how performance is measured. A new method of managing manufacturing performance utilizing Industry 4.0 technologies has been proposed by McKinsey & Company (New York City, NY, USA), and software tools have been developed by PTC Inc. (Boston, MA, USA) to aid in performing what they both call digital performance management. To evaluate this new approach, the digital performance management tool was deployed on a Festo (Esslingen, Germany) Cyber-Physical Lab (FCPL), an educational mock production environment, and compared to a digitally enabled traditional performance management solution. Results from a multi-day production period displayed an increased level of detail in both the data presented to the user and the insights gained from the digital performance management solution as compared to the traditional approach. The time unit measurements presented by digital performance management paint a clear picture of what and where losses are occurring during production and the impact of those losses. This is contrasted by the single summary metric of a traditional performance management approach, which easily obfuscates the constituent data and requires further investigation to determine what and where production losses are occurring.
引用
收藏
页数:28
相关论文
共 27 条
[1]   METHODOLOGY OF OVERALL EQUIPMENT EFFECTIVENESS CALCULATION IN THE CONTEXT OF INDUSTRY 4.0 ENVIRONMENT [J].
Ales, Zdenek ;
Pavlu, Jindrich ;
Legat, Vaclav ;
Mosna, Frantisek ;
Jurca, Vladimir .
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2019, 21 (03) :411-418
[2]   A Scalable and Secure Publish/Subscribe-Based Framework for Industrial IoT [J].
Amoretti, Michele ;
Pecori, Riccardo ;
Protskaya, Yanina ;
Veltri, Luca ;
Zanichelli, Francesco .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (06) :3815-3825
[3]   On the complexity of using performance measures: Enhancing sustained production improvement capability by combining OEE and productivity [J].
Andersson, C. ;
Bellgran, M. .
JOURNAL OF MANUFACTURING SYSTEMS, 2015, 35 :144-154
[4]  
Benjamin G., 2020, Insights on Operations
[5]  
Dixon J.R., 1990, NEW PERFORMANCE CHAL
[6]  
Eloot K., 2019, Insights on Operations
[7]   A review of performance measurement: Towards performance management [J].
Folan, P ;
Browne, J .
COMPUTERS IN INDUSTRY, 2005, 56 (07) :663-680
[8]  
Gonzalez S., 2021, Plant Eng, V75, P39
[9]  
Heppelmann H., 2020, Digital Performance Management: From the Front Line to the Bottom Line
[10]   Manufacturing productivity improvement using effectiveness metrics and simulation analysis [J].
Huang, SH ;
Dismukes, JP ;
Shi, J ;
Su, Q ;
Razzak, MA ;
Bodhale, R ;
Robinson, DE .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2003, 41 (03) :513-527