Loading…

Model-supported supply chains for cost-efficient intelligent enterprises

Purpose - The twentieth century brought great competition and complexity to business life. Advanced technologies and new production techniques resulted in shortening product life cycles. Firms that wanted to survive began to implement different strategies directly focused on customer satisfaction. S...

Full description

Saved in:
Bibliographic Details
Published in:Journal of manufacturing technology management 2005-01, Vol.16 (1), p.75-86
Main Author: Esra Aslanertik, B
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Purpose - The twentieth century brought great competition and complexity to business life. Advanced technologies and new production techniques resulted in shortening product life cycles. Firms that wanted to survive began to implement different strategies directly focused on customer satisfaction. Supply chain management, as a management philosophy, highlighted a new area that has the potential to reduce cost further than production costs. This paper promotes the supply chains for cost-efficient intelligent enterprises.Design methodology approach - Promotes the use of supply chains by means of simulation and allocating the results to solver in Excel for decision modelling in order to integrate the supplier and manufacturer relationship for the cost-efficient enterprise.Findings - Finds that a manufacturing firm really needs to develop effective co-ordination within and beyond its boundaries in order to maximise the potential for converting competitive advantage into profitability. Good co-ordination with the key suppliers especially will increase product availability.Originality value - The synchronisation of activities in supply will create value to both its members (supplier and manufacturer) and in addition it will create value to the end customer by satisfying delivery dates.
ISSN:1741-038X
1758-7786
DOI:10.1108/17410380510574095