Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI) by Leung S Y S

Author:Leung, S Y S...
Language: eng
Format: epub
Published: 2014-04-24T05:51:48.834000+00:00

6.2 Packing method for optimized marker packing

The problem addressed in this study is to pack a set of irregular objects {p1, p2, . . ., pn} onto a stock sheet of infinite length CL and fixed width CH without overlap. Hence, a general methodology which integrates a grid approximation-based heuristic placement approach, a learning vector quantization neural network, and an (μ + λ) – evolutionary strategy is developed to obtain a packing pattern with minimal length. In this case, the following assumptions are taken into consideration to construct the methodology:

• The stock sheet is a rectangle with a fixed width and an infinite length.

• Each object has only two orientations, 0° and 180°, since this study focuses on the marker planning process of the clothing industry. That is to say, the original object and the object obtained by a 180° counterclockwise rotation are allowed while an object is packed onto the stock sheet.

• The length and the width of each object are not larger than the size of the stock sheet.

• Each object can be placed at any position on the stock sheet.

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