NDLI: From enterprise models to scheduling models: bridging the gap

Content Provider	Springer Nature Link
Author	Barták, Roman Little, James Manza, Oscar Sheahan, Con
Copyright Year	2008
Abstract	Enterprise models cover all aspects of modern enterprises, from accounting, through management of custom orders and invoicing, to operational data such as records on machines and workers. In other words, all data necessary for running the company are available in enterprise models. However, these data are not in the proper format for some tasks such as scheduling and optimization. Namely, the concepts and terminology used in enterprise models are different from what is traditionally used in scheduling and optimization software. This paper deals with the automated translation of data from the enterprise model to a scheduling model and back. In particular, we describe how to extract data from the enterprise model for solving the scheduling problem using constraint-based solvers.
Starting Page	121
Ending Page	132
Page Count	12
File Format	PDF
ISSN	09565515
Journal	Journal of Intelligent Manufacturing
Volume Number	21
Issue Number	1
e-ISSN	15728145
Language	English
Publisher	Springer US
Publisher Date	2008-11-07
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Enterprise modeling Optimization Automatic scheduling Constraint programming Manufacturing, Machines, Tools Production/Logistics Control , Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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From enterprise models to scheduling models: bridging the gap