An integrated approach to the lot sizing and cutting stock problems

Author

Malik, M.M. ; Qiu, M. ; Taplin, J.

Author_Institution

Bus. Sch., Univ. of Western Australia, Perth, WA, Australia

fYear

2009

fDate

8-11 Dec. 2009

Firstpage

1111

Lastpage

1115

Abstract

Various industries consist of the cutting stock and lot-sizing problems in successive stages. Traditionally, these two problems are dealt separately which may adversely affect the overall performance of the supply chain. In this paper, an integrated approach is advocated and a model is proposed to jointly optimize the changeover, inventory holding cost and trim loss for a paper mill. It also defines the sequence of the cutting patterns to be used during conversion process. Moreover, the relationship between the ensuing cycle service levels and the total joint costs is also discussed.

Keywords

bin packing; genetic algorithms; inventory management; lot sizing; paper industry; paper mills; cutting stock problems; genetic algorithm; inventory holding cost; lot sizing problems; paper industry; paper mill; supply chain; trim loss; Australia; Cost function; Genetic algorithms; Job shop scheduling; Lot sizing; Metals industry; Paper mills; Production planning; Pulp and paper industry; Supply chains; Genetic Algorithms; Integrated Cutting Stock and Lot-Sizing; Production Planning in the Paper Industry;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-4869-2

Electronic_ISBN

978-1-4244-4870-8

Type

conf

DOI

10.1109/IEEM.2009.5372960

Filename

5372960