Preview

Xhtdc

Powerful Essays
Open Document
Open Document
7582 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Xhtdc
SIMULATION http://sim.sagepub.com A Simulation Model for Multi-Product Inventory Control Management
Masood A. Badri SIMULATION 1999; 72; 20 DOI: 10.1177/003754979907200103 The online version of this article can be found at: http://sim.sagepub.com/cgi/content/abstract/72/1/20

Published by: http://www.sagepublications.com On behalf of:

Society for Modeling and Simulation International (SCS)

Additional services and information for SIMULATION can be found at: Email Alerts: http://sim.sagepub.com/cgi/alerts Subscriptions: http://sim.sagepub.com/subscriptions Reprints: http://www.sagepub.com/journalsReprints.nav Permissions: http://www.sagepub.com/journalsPermissions.nav Citations (this article cites 18 articles hosted on the SAGE Journals Online and HighWire Press platforms): http://sim.sagepub.com/cgi/content/refs/72/1/20

Downloaded from http://sim.sagepub.com at PENNSYLVANIA STATE UNIV on April 17, 2008 © 1999 Simulation Councils Inc.. All rights reserved. Not for commercial use or unauthorized distribution.

TECHNICAL ARTICLE

A Simulation Model for Multi-Product

Inventory Control Management
Masood A. Badri
United Arab Emirates University Faculty of Business & Economics Department of Business Administration Al-Ain, United Arab Emirates E-mail: Masood@uaeu.ac.ae

A simulation based-decision support system for multi-product inventory control management is developed. The system permits management to obtain an inventory system-wide view of the effect of changes in decision variables on the performance measures of a furniture manufacturing firm. The simulation model considers the effect of variations in demand, re-order point, stock-control level, time between reviews, and lead time. The decision support system generates policy scenarios based on management specifications. The effect of each scenario on system performance is then analysed. A set of search methods is combined with the DSS to aid in the optimisation process. The developed



Citations: Downloaded from http://sim.sagepub.com at PENNSYLVANIA STATE UNIV on April 17, 2008 © 1999 Simulation Councils Inc.. All rights reserved. Not for commercial use or unauthorized distribution. Downloaded from http://sim.sagepub.com at PENNSYLVANIA STATE UNIV on April 17, 2008 © 1999 Simulation Councils Inc.. All rights reserved. Not for commercial use or unauthorized distribution.

You May Also Find These Documents Helpful