The workflow-enabled supply chain, the Civil Construction Enterprise case study

• Type: Article in International Conference Proceedings Book
• Date: 2002

Authors

M. P. T. Pinto (Author) Other; João José Pinto Ferreira (Author) FEUP

Conference proceedings International

Title: COLLABORATIVE BUSINESS ECOSYSTEMS AND VIRTUAL ENTERPRISES

Pages: 561-568

3rd Working Conference on Infrastructures for Virtual Enterprises (PRO-VE 02)

SESIMBRA, PORTUGAL, MAY 01-03, 2002

Indexing

ISI Web of Knowledge - 0 Citations

Other information

Authenticus ID: P-000-QZQ

Abstract (EN): This paper presents on-going research in the supply-chain management area. With this effort, we aim at bridging the gap between business process modelling in the supply chain and business process co-ordination by means of innovative workflow management tools. In this context we present the Supply Chain Operation Reference Model (SCOR) and illustrate its usage in a Civil Construction Enterprise case study. The civil construction enterprise presents, usually, a distributed organisational structure (strategic enterprise, construction sites, warehouses, head-offices, etc.), and operates in a transient and variable environment, according to the collection of works in progress. A common scenario is the construction process that involves the interaction with several suppliers and the co-ordination of many smaller firms (subcontractors), normally coordinated by one contractor. The relationship with the enterprise suppliers as well as between contractor and sub-contractor features a clear Source-Make-Deliver and Return pattern, demanding coordination and interoperability along those processes that cross the enterprise boundaries. The SCOR model process-orientation greatly facilitates supply chain business process decomposition, fostering therefore greater effectiveness process integration along the supply chain, The paper concludes with a proposal of new business process management concepts to be supported by novel distributed workflow management tools.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8