Simulation of cost driven value stream mapping

Eva Jordan (Author), Tomaž Berlec (Author), Lidija Rihar (Author), Janez Kušar (Author)

Abstract

Value stream mapping (VSM) is based on an analysis of the times required to carry out production processes throughout the customer-manufacturer-supplier logistics chain. The goal of VSM is to identify wastes and eliminate them, thereby increasing the added value of a product. The paper presents an extension of the VSM concept which is based on determining the costs associated with the necessary operations and determining, based on said costs, the total costs of the entire production process. When eliminating those activities that represent waste, we can, by simulating the total costs, determine the contribution of the implemented measure to the reduction of lead time and, above all, the reduction of costs and thus the economic efficiency of the production process. For the presentation, by simulating the identified cost effects of the anticipated changes, we can calculate the leanness cost index and, using portfolio analysis of the leanness of the production system, analyse the effects. The application of the proposed methodology is shown in the case of transition from individual to lean and agile series production of ceramic capacitors.

Keywords

lean production;value stream mapping (VSM);simulation;leanness cost index;portfolio analysis of production system leanness;

Data

Language:	English
Year of publishing:	2020
Typology:	1.01 - Original Scientific Article
Organization:	UL FS - Faculty of Mechanical Engineering
UDC:	519.876.5+005.935:658.5(045)
COBISS:	27881731
ISSN:	1726-4529
Views:	477
Downloads:	218
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	vitka proizvodnja;analiza toka vrednosti (ATV);simulacije;stroškovni indeks vitkosti;portfeljska analiza vitkosti proizvodnega sistema;
Type (COBISS):	Article
Pages:	str. 458-469
Volume:	ǂVol. ǂ19
Issue:	ǂno. ǂ3
Chronology:	Sep. 2020
DOI:	10.2507/IJSIMM19-3-527
ID:	12048532