Web Based Dss for Inventory and Scrap Optimization in a Printing & Packaging Industry

Abstract:

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This paper proposes a genetic algorithm based optimization of the product and scrap inventory levels in a printing and packaging industry so as to minimize total supply chain cost. The scrap optimization procedures are in the primitive level of implementation in the industries. Determining optimal levels of scrap inventory enables the industries to attack the problem of high scrap and high inventory, thus enables the industries to make quick and sound decisions regarding the production of paper boards in a printing and packaging industry.

Info:

Periodical:

Advanced Materials Research (Volumes 335-336)

Edited by:

Yun-Hae Kim, Prasad Yarlagadda, Xiaodong Zhang and Zhijiu Ai

Pages:

599-605

DOI:

10.4028/www.scientific.net/AMR.335-336.599

Citation:

V. Govindarajalu and V.S. Senthil Kumar, "Web Based Dss for Inventory and Scrap Optimization in a Printing & Packaging Industry", Advanced Materials Research, Vols. 335-336, pp. 599-605, 2011

Online since:

September 2011

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Price:

$35.00

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