Distributed computing approaches toward manufacturing scheduling problems.: An article from: IIE Transactions
Book Details
Author(s)Thomas K. Keyser, Robert P. Davis
ISBN / ASINB000987K2O
ISBN-13978B000987K20
AvailabilityAvailable for download now
Sales Rank14,301,403
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This digital document is an article from IIE Transactions, published by Institute of Industrial Engineers, Inc. (IIE) on April 1, 1998. The length of the article is 8680 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
From the author: This paper investigates the solution of manufacturing scheduling problems using different distributed computer schemes. The distributed computer schemes vary with respect to task partitioning, task allocation and the number of processors used. The best combinations of these variations are presented with respect to problem scenario and size. The distributed computing models, are analyzed with respect to computational advantages gained vs. traditional computing models. The models are implemented over a distributed computer network, designed for heterogeneous application, and are transportable to other operating systems and networks of computers. The advantages of these models are discussed and several useful extensions are presented.
Citation Details
Title: Distributed computing approaches toward manufacturing scheduling problems.
Author: Thomas K. Keyser
Publication:IIE Transactions (Refereed)
Date: April 1, 1998
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v30 Issue: n4 Page: p379(12)
Distributed by Thomson Gale
From the author: This paper investigates the solution of manufacturing scheduling problems using different distributed computer schemes. The distributed computer schemes vary with respect to task partitioning, task allocation and the number of processors used. The best combinations of these variations are presented with respect to problem scenario and size. The distributed computing models, are analyzed with respect to computational advantages gained vs. traditional computing models. The models are implemented over a distributed computer network, designed for heterogeneous application, and are transportable to other operating systems and networks of computers. The advantages of these models are discussed and several useful extensions are presented.
Citation Details
Title: Distributed computing approaches toward manufacturing scheduling problems.
Author: Thomas K. Keyser
Publication:IIE Transactions (Refereed)
Date: April 1, 1998
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v30 Issue: n4 Page: p379(12)
Distributed by Thomson Gale
