Modelling and performance analysis of a supply chain using timed coloured Petri nets

Maurizio Bevilacqua, Filippo Emanuele Ciarapica and Giovanni Mazzuto

International Journal of Business Performance and Supply Chain Modelling, 2012, vol. 4, issue 3/4, 285-316

Abstract: This paper aims at developing a new methodology to design and manage a supply chain (SC) and, at the same time, to evaluate the performance of every stakeholder involved in production chains. The methodology we propose is based on timed coloured Petri nets (TCPNs) and has been applied to a footwear SC, analysing a production system which consists of a manufactures and suppliers network of services, related to logistics systems. The model developed, uses TCPNs to represent a SC: PN places are the resources, whereas the tokens are jobs and orders, while the colour represents the attributes of the job. These colours are used to encode different data types and values attached to tokens. The SC model, developed in this work, using TCPNs allows creating a compact representation of actions of the system. Another particularity of this network is its structure which allows designers an easy realisation of simulators.

Keywords: timed coloured Petri nets; TCPN; supply chain management; supply chain modelling; SCM; performance evaluation; simulation; supply chain design; footwear supply chains. (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=50386 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijbpsc:v:4:y:2012:i:3/4:p:285-316

Access Statistics for this article

More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().