Development of bottleneck detection methods allowing for an effective fault repair prioritization in machining lines of the automobile industry

Fault repair prioritization is an important topic for organizing operators in every plant where their numbers are restricted. Prioritization helps the operators to focus on critical machines to increase the machining line’s output. The goal of this paper is to define and test effective fault repair prioritization methods based on analytically identified bottlenecks. For that purpose, several bottleneck detection methods known from the literature were analyzed; however, none of them was able to be used for a fault repair prioritization in typical machining lines of the automobile industry. Hence, three new bottleneck detection methods are going to be introduced in this paper. The new methods focus on the detection of short-term and real-time bottlenecks, as well as on near future bottlenecks. At the end of the paper the effectiveness of the new methods is tested using a simulation model of a real machining line in the automobile industry.

[1]  Hans-Peter Wiendahl,et al.  Bottleneck Analysis of Assembly Lines with Characteristic Curves , 2002 .

[2]  Arnold H. Buss,et al.  ECONOMIC ANALYSIS OF PRODUCTION BOTTLENECKS , 1995 .

[3]  Ratna Babu Chinnam,et al.  Simulation platform for anticipative plant-level maintenance decision support system , 2016 .

[4]  Lin Li,et al.  Bottleneck Detection of Manufacturing Systems Using Data Driven Method , 2007, 2007 IEEE International Symposium on Assembly and Manufacturing.

[5]  Sang C. Park,et al.  Short-Term Bottleneck Detection for Process Planning in a FAB , 2014 .

[6]  Maheshwaran Gopalakrishnan,et al.  Simulation-based planning of maintenance activities in the automotive industry , 2013, 2013 Winter Simulations Conference (WSC).

[7]  Stephan Biller,et al.  Supervisory Factory Control Based on Real-Time Production Feedback , 2007 .

[8]  Stephan Biller,et al.  Maintenance staffing management , 2007, J. Intell. Manuf..

[9]  James F. Cox,et al.  The Constraints Management Handbook , 1996 .

[10]  Jochen Deuse,et al.  Reliable Shop Floor Bottleneck Detection for Flow Lines through Process and Inventory Observations , 2014 .

[11]  Jong-Tae Lim,et al.  Bottlenecks in serial production lines: A system-theoretic approach , 1996 .

[12]  Minoru Tanaka,et al.  Shifting bottleneck detection , 2002, Proceedings of the Winter Simulation Conference.

[13]  Lin Li,et al.  Throughput Bottleneck Prediction of Manufacturing Systems Using Time Series Analysis , 2011 .

[14]  Yongji Wang,et al.  bottleneck prediction method based on improved adaptive network-based fuzzy inference system (anfis) in semiconductor manufacturing system , 2012 .

[15]  Stephan Biller,et al.  Simulation study of a bottleneck-based dispatching policy for a maintenance workforce , 2010 .

[16]  Minoru Tanaka,et al.  A practical bottleneck detection method , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[17]  Richard F. Hartl,et al.  Supply chain dynamics, control and disruption management , 2016 .

[18]  Seungchul Lee,et al.  Joint decision making for maintenance and production scheduling of production systems , 2013 .

[19]  Jun Ni,et al.  Short-term decision support system for maintenance task prioritization , 2009 .

[20]  Maheshwaran Gopalakrishnan,et al.  Simulation-based planning of maintenance activities by a shifting priority method , 2014, Proceedings of the Winter Simulation Conference 2014.

[21]  Arnold H. Buss,et al.  SHIFTING PRODUCTION BOTTLENECKS: CAUSES, CURES, AND CONUNDRUMS , 2009 .

[22]  Shigeo Shingo.  A Revolution in Manufacturing: The SMED System , 1985 .