Open Access System for Information Sharing

Login Library

 

Article
Cited 2 time in webofscience Cited 2 time in scopus
Metadata Downloads

Development of a Heuristic Algorithm for Cutting Stock Problems in Flat Glass Production Processes SCIE SCOPUS

Title
Development of a Heuristic Algorithm for Cutting Stock Problems in Flat Glass Production Processes
Authors
Park, KTRyu, JHLee, HKLee, IB
Date Issued
2012-03
Publisher
The Society of Chemical Engineers, Japan
Abstract
Flat glass is widely employed in many applications such as for buildings and commercial products. It is the product of a series of chemical processes. In order to raise the profitability of flat glass companies, various issues in the process should be considered. An important but unexplored issue is minimization of the waste generated by cutting the original large sized mother glass into multiple items of small size. The resulting problem is called a cutting stock problem and is an important issue because of its financial impact. The profitability of a glass company is thus dependent on developing efficient algorithms to solve this problem. Motivated by the practical needs, a heuristic algorithm for the cutting stock problem is proposed to minimize the waste of the glass bin while meeting demand. Several case studies from actual flat glass companies are presented to illustrate the applicability of the algorithm with some remarks.
Keywords
Cutting Stock Problem; Sequential Heuristic Procedure; Flat Glass; Level Algorithm; BIN PACKING PROBLEMS; TYPOLOGY
URI
https://oasis.postech.ac.kr/handle/2014.oak/16660
DOI
10.1252/JCEJ.11WE209
ISSN
0021-9592
Article Type
Article
Citation
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, vol. 45, no. 3, page. 219 - 227, 2012-03
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

이인범LEE, IN BEUM
Dept. of Chemical Enginrg
Read more

Views & Downloads

Browse