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

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, Pinaki Kar
Copyright: © 2010 |Volume: 1 |Issue: 1 |Pages: 15
ISSN: 1947-9328|EISSN: 1947-9336|EISBN13: 9781616929985|DOI: 10.4018/joris.2010101301
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MLA

Lee, Hyoung-Gon, et al. "The Open System for Master Production Scheduling: Information Technology for Semantic Connections between Data and Mathematical Models." IJORIS vol.1, no.1 2010: pp.1-15. http://doi.org/10.4018/joris.2010101301

APA

Lee, H., Schuster, E. W., Allen, S. J., & Kar, P. (2010). The Open System for Master Production Scheduling: Information Technology for Semantic Connections between Data and Mathematical Models. International Journal of Operations Research and Information Systems (IJORIS), 1(1), 1-15. http://doi.org/10.4018/joris.2010101301

Chicago

Lee, Hyoung-Gon, et al. "The Open System for Master Production Scheduling: Information Technology for Semantic Connections between Data and Mathematical Models," International Journal of Operations Research and Information Systems (IJORIS) 1, no.1: 1-15. http://doi.org/10.4018/joris.2010101301

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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.

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