A pattern generation-integer programming based formulation for the carpet loading problem

In this work, an optimization problem related to the carpet weaving industry is introduced, modeled and solved using an enumeration algorithm and integer programming. The problem is to schedule orders of carpets with known widths, lengths and ordered amounts to looms with fixed widths. Although, it is a two-dimensional stock cutting problem with the objective being to fulfill the orders with minimum total scrap (empty area woven) and using the least number of setups, the problem exhibits some unique characteristics. Our approach consists of preprocessing the problem to find all reasonable two-dimensional patterns and then formulating and solving a pure integer problem.