Efficient least-loss algorithm for a bi-objective trim-loss problem

Hesham K. Alfares, Omar G. Alsawafy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a new model and an efficient solution algorithm for a bi-objective one-dimensional trim-loss problem. In the trim-loss - or cutting-stock - problem, customer orders of different smaller item sizes are satisfied by cutting a number of larger standard-size objects. After cutting larger objects to satisfy orders for smaller items, the remaining parts are considered as useless or wasted material, which is called "trim-loss". The two objectives of the proposed model, in the order of priority, are to minimize: the total trim loss, and the number of partially-cut large objects. To produce near-optimum solutions, a two-stage least-loss algorithm (LLA) is used to determine the combinations of small item sizes that minimize the trim loss quantity. Solving several benchmark problems from the literature, the algorithm demonstrated considerable effectiveness in terms of both objectives, in addition to high computational efficiency.

Original languageEnglish
Title of host publication7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017
PublisherIEOM Society
Pages2118-2122
Number of pages5
ISBN (Print)9780985549763
StatePublished - 2017

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Bibliographical note

Publisher Copyright:
© IEOM Society International.

Keywords

  • Heuristic algorithms
  • Multiple-objective optimization models
  • One-dimensional cutting-stock problem
  • Trim-loss problem

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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