Using discrete event simulation to change from a functional layout to a cellular layout in an auto parts industry

This paper presents a discrete event simulation employed in a Brazilian automotive company. There was a huge waste caused by one family scrap. It was believed one reason was the company functional layout. In this case, changing from current to cellular layout, employee synergy and knowledge about this family would increase. Due to the complexity for dimensioning a new cellular layout, mainly because of batch size and client’s demand variation. In this case, discrete event simulation was used, which made possible to introduce those effects improving accuracy in final results. This accuracy will be shown by comparing results obtained with simulation and without it (as company used to do). To conclude, cellular layout was responsible for increasing 15% of productivity, reducing lead-time in 7 days and scrap in 15% for this family.

[1]  Masoud Rabbani,et al.  A comprehensive dynamic cell formation design: Benders' decomposition approach , 2011, Expert Syst. Appl..

[2]  John Ryan,et al.  Process modeling for simulation , 2006, Comput. Ind..

[3]  Seung Hwan Won,et al.  COMPARISON OF ALTERNATIVE SHIP-TO-YARD VEHICLES WITH THE CONSIDERATION OF THE BATCH PROCESS OF QUAY CRANES , 2013 .

[4]  Ravi Shankar,et al.  Agility and production flow layouts: An analytical decision analysis , 2012, Comput. Ind. Eng..

[5]  André Felipe Henriques Librantz,et al.  Improvement of the supply chain for the sugar cane exportation process employing discrete events simulation techniques , 2013 .

[6]  Nigel Slack,et al.  Operations management , 1994 .

[7]  José Arnaldo Barra Montevechi,et al.  Integrating soft systems methodology to aid simulation conceptual modeling , 2015, Int. Trans. Oper. Res..

[8]  Student,et al.  THE PROBABLE ERROR OF A MEAN , 1908 .

[9]  José Arnaldo Barra Montevechi,et al.  FOR OPERATIONAL VALIDATION OF DISCRETE SIMULATION MODELS , 2011 .

[10]  Stewart Robinson,et al.  Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers , 2010, Eur. J. Oper. Res..

[11]  Zhenyuan Jia,et al.  DESIGN AND IMPLEMENTATION OF LEAN FACILITY LAYOUT SYSTEM OF A PRODUCTION LINE , 2011 .

[12]  Jerry Banks,et al.  Discrete Event Simulation , 2002, Encyclopedia of Information Systems.

[13]  M. Laxmikanth,et al.  Simulation Modeling And Analysis , 2006 .

[14]  Abdessalem Jerbi,et al.  Comparing functional and cellular layouts using simulation and Taguchi method , 2010 .

[15]  Andrew Y. C. Nee,et al.  A novel facility layout planning and optimization methodology , 2013 .

[16]  Massimo Gastaldi,et al.  Production variability and shop configuration: An experimental analysis , 2000 .

[17]  Michal Šimon,et al.  Optimization of Layout Using Discrete Event Simulation , 2011 .

[18]  D. Darling,et al.  A Test of Goodness of Fit , 1954 .

[19]  G. W. Snedecor Statistical Methods , 1964 .

[20]  F. E. Satterthwaite An approximate distribution of estimates of variance components. , 1946, Biometrics.

[21]  David. Proverbs,et al.  A systematic modelling and simulation approach for JIT performance optimisation , 2008 .

[22]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[23]  Satterthwaite Fe An approximate distribution of estimates of variance components. , 1946 .

[24]  Robert V. Brill,et al.  Applied Statistics and Probability for Engineers , 2004, Technometrics.