Using accurately measured production amounts to obtain calibration curve corrections of production line speed and stoppage duration consisting of measurement errors

A vital component of continuous improvement in production environments is measuring performance. For instance, in the total productive maintenance philosophy, overall equipment effectiveness is used as a key performance indicator. However, the validity of this and other performance indicators is a question when the measurements cannot be obtained accurately. In this study, measurements on production line speeds and unplanned stoppage durations are assumed to have measurement errors. A balance equation is developed for production loss amounts by formulating the relationship between accurate measurements and measurements with error. To obtain corrected values of the line speed and unplanned stoppage durations by using the measurements given by an operator, a nonlinear mathematical model is developed. It is shown that the solution to the mathematical formulation is unique and global optimum. The problem and its proposed solution is presented by a real world example from a PVC profile manufacturing, which motivated this research. A particular advantage of the proposed approach would be in obtaining better measures for process performance.

[1]  J. Konopka,et al.  Implementation of overall equipment effectiveness (OEE) system at a semiconductor manufacturer , 1997, Twenty First IEEE/CPMT International Electronics Manufacturing Technology Symposium Proceedings 1997 IEMT Symposium.

[2]  J. Konopka,et al.  Overall equipment effectiveness (OEE) and cost measurement [semiconductor manufacturing] , 1996, Nineteenth IEEE/CPMT International Electronics Manufacturing Technology Symposium.

[3]  Richard C.M. Yam,et al.  An Integrated Maintenance Management System for an Advanced Manufacturing Company , 2001 .

[4]  Victor Pantano,et al.  Insights from the Balanced Scorecard Performance measurement systems: successes, failures and future - a review , 2006 .

[5]  Hongyi Sun,et al.  The implementation and evaluation of Total Productive Maintenance (TPM)—an action case study in a Hong Kong manufacturing company , 2003 .

[6]  Panagiotis H. Tsarouhas,et al.  Equipment performance evaluation in a production plant of traditional Italian cheese , 2013 .

[7]  Sérgio Sousa,et al.  Uncertainty Components in Performance Measures , 2013 .

[8]  Salih O. Duffuaa,et al.  Maintenance and quality: the missing link , 1995 .

[9]  Raffaele Iannone,et al.  Managing OEE to Optimize Factory Performance , 2013 .

[10]  S. Nash,et al.  Linear and Nonlinear Optimization , 2008 .

[11]  Eberhard Abele,et al.  Enhancement of the overall equipment effectiveness measure: a contribution for handling uncertainty in shop floor optimisation and production planning , 2015 .

[12]  Andy Neely,et al.  Performance measurement system design , 1995 .

[13]  Francesco Zammori Fuzzy Overall Equipment Effectiveness (FOEE): capturing performance fluctuations through LR Fuzzy numbers , 2015 .

[14]  R. K. Garg,et al.  OEE Improvement by TPM Implementation: A Case Study , 2012 .

[15]  A. Neely The evolution of performance measurement research: Developments in the last decade and a research agenda for the next , 2005 .

[16]  Don T. Phillips,et al.  Operational efficiency and effectiveness measurement , 2001 .

[17]  Aditya Parida,et al.  Performance measurement and management for maintenance: a literature review , 2015 .

[18]  Peter Muchiri,et al.  Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion , 2008 .

[19]  Stefan Tangen,et al.  Evaluation and revision of performance measurement systems , 2004 .

[20]  Arun Ross,et al.  Score normalization in multimodal biometric systems , 2005, Pattern Recognit..

[21]  Chen-Fu Chien,et al.  Constructing the OGE for promoting tool group productivity in semiconductor manufacturing , 2007 .

[22]  Eberhard Abele,et al.  Uncertainty in the analysis of the overall equipment effectiveness on the shop floor , 2013 .