A new heuristic development and implementation to a paper cutting problem: Case of AL-Khoutaf Company

Rahma Bouaziz, Slim Kammoun, Wafik Hachicha, H. Chabchoub
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Abstract

This paper deals with the cutting stock problem a well-known problem in operational research and in supply chain management, met frequently in paper and tissues industry. This problem is classified among the NP-hard problems for which, it is difficult to find the optimal solution; indeed the only known method able to solve this kind of problem would be the resolution through heuristic methods. The aim of this paper is the development and the computing implementation of a new heuristic for a specific cutting stock problem, which is evoked by an industrial print company. The objective is to determine the characteristics of reel to be orders while respecting a set of constraints fixed by the manufacturer. In order to validate the performance of the proposed heuristic several critical problems were tested. Huge profits are recognized compared with the current method used by the company. We believe that our solution can help company to make supplying decision automatically in appropriate ways.
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剪纸问题的一种新的启发式发展与实现:以AL-Khoutaf公司为例
本文研究了在运筹学和供应链管理中经常遇到的切料问题。该问题属于难以找到最优解的np困难问题;事实上,唯一已知的能够解决这类问题的方法是通过启发式方法来解决。本文的目的是开发和计算实现一个新的启发式的具体切割库存问题,由一个工业印刷公司。目标是在尊重制造商设定的一组约束条件的同时,确定要订购的卷筒的特性。为了验证启发式算法的性能,对几个关键问题进行了测试。与公司目前使用的方法相比,确认了巨大的利润。我们相信我们的解决方案可以帮助企业以适当的方式自动做出供应决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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