Integration of Simulation and Lean Tools in Effective Production Systems - Case Study

被引:20
作者
Bozickovic, Ranko [2 ]
Radosevic, Milan [1 ]
Cosic, Ilija [1 ]
Sokovic, Mirko [3 ]
Rikalovic, Aleksandar [1 ]
机构
[1] Univ Novi Sad, Fac Tech Sci, Novi Sad 21000, Serbia
[2] Univ E Sarajevo, Fac Transport & Traff Engn, Sarajevo, Bosnia & Herceg
[3] Univ Ljubljana, Fac Mech Engn, Ljubljana 61000, Slovenia
来源
STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING | 2012年 / 58卷 / 11期
关键词
lean; effective systems; group technology; simulation; MANAGEMENT;
D O I
10.5545/sv-jme.2012.387
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Production systems that are by their structure designed according to principles of group technology must, despite their perfection, rapidly adapt to changes in surroundings and engage in a battle with their market rivals. First of all, they must get closer to customers and suppliers, representing one of first principles of lean philosophy. It is one of the ways to successfully valorise comparative values with competition, despite its internal restructuring. This paper presents the influence of certain lean tools as well as application of statistical analyses, simulation and graphics tools for achieving greater effectiveness and efficiency of production systems. Application or integration of these tools enables shortening of the production cycle, reduces the degree of complexity of material flows, reduces the supplies and expenditure of energy resources while it creates an increased degree of functionality of the organisation, utilization of workspace etc. Combination of different tools presented in this paper can valorise new technological, organisational and informational achievements in production that will secure an even better position on the market for industrial systems.
引用
收藏
页码:642 / 652
页数:11
相关论文
共 29 条
[1]   Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study [J].
Abdulmalek, Fawaz A. ;
Rajgopal, Jayant .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2007, 107 (01) :223-236
[2]  
[Anonymous], 2014, SIMULATION MODELING
[3]  
Arsovski S, 2009, STROJ VESTN-J MECH E, V55, P33
[4]  
Bozickovic R., 2011, 15 INT SCI C IND SYS, P483
[5]  
Bozickovic R., 2005, THESIS U NOVI SAD NO
[6]  
Chung C., 2003, SIMULATION MODELING, DOI [10.1201/9780203496466, DOI 10.1201/9780203496466]
[7]   Quantifying benefits of conversion to lean manufacturing with discrete event simulation: a case study [J].
Detty, RB ;
Yingling, JC .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2000, 38 (02) :429-445
[8]  
Feld W.M., 2000, Lean Manufacturing Tools, Techniques, and How To Use Them, DOI DOI 10.1201/9781420025538
[9]  
Fetvaci C, 2010, STROJ VESTN-J MECH E, V56, P644
[10]  
George S., 1998, TOTAL QUALITY MANAGE, V2nd