Cut Order Planning Under Cost, Time and Waste Constraints in Furniture Industry

Authors

  • Betul Coban Abdullah Gul University
  • Merve Safa Alpergün Abdullah Gül University, Kayseri

Abstract

The study addresses the optimization of fabric cutting of production in the furniture industry, aiming to minimize costs and improve production efficiency. The problem is defined as the need to optimize variables such as marker type, quantity, and the number of plies to reduce wastage. A marker is a fabric layer placed in a single or multiple plies on which the cutting layout for the pattern is placed. The methodology involves analyzing the current system, identifying problem symptoms, and developing models for cut order planning. The research focuses on minimizing fabric-cutting costs by making optimal marker types and plies decisions. A mixed integer linear programming (MILP) model is formulated to optimize fabric-cutting decisions, leading to cost savings in production processes. The results indicate the potential for improved cut-order planning, increasing potential savings, reducing production timelines, and enhancing overall operational performance by considering cost, time, and waste constraints.

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Published

2023-09-15

How to Cite

Cut Order Planning Under Cost, Time and Waste Constraints in Furniture Industry. (2023). International Journal of Applied Optimization Studies, 3(2), 33-45. http://ijaos.com/index.php/home/article/view/76