The Open System for Master Production Scheduling: Information Technology for Semantic Connections between Data and Mathematical Models

Hyoung-Gon Lee, Edmund W. Schuster, Stuart J. Allen and Pinaki Kar
Additional contact information
Hyoung-Gon Lee: Massachusetts Institute of Technology, USA
Edmund W. Schuster: Massachusetts Institute of Technology, USA
Stuart J. Allen: Marysville, USA
Pinaki Kar: New York, USA

International Journal of Operations Research and Information Systems (IJORIS), 2010, vol. 1, issue 1, 1-15

Abstract: Commonly provided by ERP vendors, master production scheduling (MPS) systems often strive to meet the needs of a large user base while limiting software functionality. Subsequently, business process reengineering becomes the means for firms to adapt to MPS software packages. This article develops a flexible approach for MPS delivery as an alternative to packaged software. The article examines the general case of open system architecture to deliver a specific master scheduling model to end-users. The open system approach fulfills a goal to standardize and speed the process of modeling in practice by creating a supply network for mathematical models that is searchable across the Internet with precision. The value lies on quickly putting state-of-the-art modeling in the hands of many users with no local computer implementation other than downloading an Excel spreadsheet.

Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/joris.2010101301 (application/pdf)

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:igg:joris0:v:1:y:2010:i:1:p:1-15

Access Statistics for this article

International Journal of Operations Research and Information Systems (IJORIS) is currently edited by John Wang

More articles in International Journal of Operations Research and Information Systems (IJORIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().