EconPapers    
Economics at your fingertips  
 

SCOR template--A simulation based dynamic supply chain analysis tool

Fredrik Persson

International Journal of Production Economics, 2011, vol. 131, issue 1, 288-294

Abstract: The supply chain operations reference model model (SCOR) is developed and maintained by the Supply Chain Council (SCC). The SCOR model is a reference model that can be used to map, benchmark, and improve supply chain operations. SCOR template is a simulation based analysis tool, developed to capture the dynamics of supply chain operations. The first version of the SCOR template was presented in a previous article by Persson and Araldi (2009). Since the finalisation of the first article concerning the SCOR template, a second version of the SCOR template has been constructed and tested in at a case company; Alfa Laval at Ronneby, Sweden--a manufacturer of heat exchangers. Version 2 of the SCOR template is more complete than the previous version. More metrics were introduced and the return processes included. Emphasis has been on making supply chain analysis simple with the introduction of a new building block--the metric module. The case study at Alfa Laval has been based on data from a value stream mapping (VSM) and aimed at comparing different scenarios in the production networks for one specific product. The results of the comparison are one of the pieces of data that the company managers will use when deciding where to allocate production resources in the international production network.

Keywords: Simulation; SCOR; Arena; Supply; chain; Supply; network (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925-5273(10)00367-1
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:131:y:2011:i:1:p:288-294

Access Statistics for this article

International Journal of Production Economics is currently edited by Stefan Minner

More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:proeco:v:131:y:2011:i:1:p:288-294