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A Global Method for a Two-Dimensional Cutting Stock Problem in the Manufacturing Industry

In: Application of Decision Science in Business and Management

Author

Listed:
  • Yao-Huei Huang
  • Hao-Chun Lu
  • Yun-Cheng Wang
  • Yu-Fang Chang
  • Chun-Kai Gao

Abstract

A two-dimensional cutting stock problem (2DCSP) needs to cut a set of given rectangular items from standard-sized rectangular materials with the objective of minimizing the number of materials used. This problem frequently arises in different manufacturing industries such as glass, wood, paper, plastic, etc. However, the current literatures lack a deterministic method for solving the 2DCSP. However, this study proposes a global method to solve the 2DCSP. It aims to reduce the number of binary variables for the proposed model to speed up the solving time and obtain the optimal solution. Our experiments demonstrate that the proposed method is superior to current reference methods for solving the 2DCSP.

Suggested Citation

  • Yao-Huei Huang & Hao-Chun Lu & Yun-Cheng Wang & Yu-Fang Chang & Chun-Kai Gao, 2020. "A Global Method for a Two-Dimensional Cutting Stock Problem in the Manufacturing Industry," Chapters, in: Fausto Pedro Garcia Marquez (ed.), Application of Decision Science in Business and Management, IntechOpen.
    • Handle: RePEc:ito:pchaps:200913
    DOI: 10.5772/intechopen.89376
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    More about this item

    Keywords

    two-dimensional cutting stock problem (2DCSP); rectangular items; optimal solution; deterministic model;
    All these keywords.

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making

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