Manufacturing enterprise decisions can be classified into four groups: business decisions, design decisions, engineering decisions, and production decisions. Numerous physical and software simulation techniques have been used to evaluate specific decisions by predicting their impact on either system performance or product performance. In this paper, we focus on the impact of production decisions, evaluated using discrete-event-simulation models, on enterprise-level performance measures. We argue that these discrete-event models alone are not enough to capture this impact. To address this problem, we propose integrating discrete-event simulation models with system dynamics models in a hybrid approach to the simulation of the entire enterprise. This hybrid approach is conceptually consistent with current business trend toward integrated systems. We show the potential for using this approach through an example of a semiconductor enterprise

Customer-driven markets, decreasing product lifecycle times in combination with the demand for customer-tailored products for minimum prices has triggered new organisational concepts. In contrast to single enterprises with a high vertical range of manufacture nowadays companies aims to join in networks where each of the involved partners contributes its core competencies. These networks can then provide products and services in a more efficient and flexible way than the partners could on their own and thus helps them all to become better and more competitive in a global market. In the field of production these structures are called value added production networks. Dependant upon

reproduced or used in any form or by any means graphic, electronic, or mechanical, including photocopying, recording, taping, or information storage and retrieval systems without the written permission of the copyright holder.

Versioning and contribution history

Versioning and contribution history

Abstract not found