A state-space solution search method for apparel industry spreading and cutting

Nascimento, Daniela Brandão; Figueiredo, João Neiva de; Mayerle, Sérgio Fernando; Nascimento, P.R.; Casali, Massimiliano

doi:10.1016/j.ijpe.2010.07.035

Cited by 13 publications

(9 citation statements)

References 20 publications

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“…The majority of the garment manufacturing cost occurs in the garment cutting process. 47,48 Costs relative to the garment cutting process 23,24,49,50 can be divided into two groups: one group is caused by consumption of materials (i.e. fabrics and markers), and the other is induced by operations (i.e.…”

Section: Methodsmentioning

confidence: 99%

Garment mass customization methods for the cutting-related processes

Thomassey

Zeng

2020

Textile Research Journal

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In the garment industry, upgrading from mass production to mass customization is imperative, due to ever-changing fashion trends and customers’ increasing personal demands. Based on pattern variations, several practical mass customization methods in terms of custom-fit and co-design are developed in this study for cutting-related processes (i.e. the sizing process and the cutting process). The increment of size number by generating additional sizes and the expansion of size capacity by setting multi-sized darts are two custom-fit methods, while material (fabric) variation by spreading “rainbow plies” and module variation by making a stepwise cutting are two co-design methods. Compared with existing mass customization methods mainly related to the garment design processes, the proposed methods emphasize the garment manufacturing processes in order to resolve the conflict between personalization and cost. A case study on the women’s basic straight skirt is conducted for the performance evaluation (about personalization and cost) of the proposed methods. The experimental results demonstrate the ability of these methods to significantly raise the personalization level with an acceptable price in garment customization. This study provides a reference for garment manufacturers to make proper production strategies, enabling garment mass customization.

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Section: Methodsmentioning

confidence: 99%

Garment mass customization methods for the cutting-related processes

Thomassey

Zeng

2020

Textile Research Journal

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“…En general, el análisis realizado permitió encontrar "cuellos de botella", estaciones de servicio clave y otros puntos en los cuales se pueda impactar con soluciones que ofrezcan un incremento en la productividad con el menor costo de forma similar a las reportadas en [28][29]. …”

Section: Conclusionesunclassified

Análisis del proceso productivo de una empresa de confecciones: Modelación y simulación

Sánchez¹,

Ceballos

Torres

2015

Cien.Ing.Neogranadina

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<p class="Texto">El modelado y simulación de pequeños sistemas industriales ha adquirido gran importancia en los procesos de toma de decisiones, toda vez que les permite a microempresas fundamentar sus decisiones de producción. Este artículo hace un análisis de una empresa dedicada a la confección de ropa exterior masculina con una producción semanal promedio de 490 prendas. La motivación del estudio radica en el interés de incrementar su productividad; por esto, se desarrolló un modelo del sistema real con la herramienta Arena®, logrando identificar las partes de los procesos responsables de atrasos y “cuellos de botella” que permitieron plantear el escenario de solución. Este documento muestra los resultados de la simulación del sistema real y una comparación con un escenario de mejora que presentó un aumento en la productividad.<strong></strong></p>

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“…Nascimento et al. () propose a general graph‐based model to identify the minimal cost spreading and cutting schedule. Their state‐space approach defines a graph where a node is an n ‐tuple that contains the spreading and cutting schedule for a given garment.…”

Section: Literature Reviewmentioning

confidence: 99%

Heuristics for the combined cut order planning two‐dimensional layout problem in the apparel industry

M’Hallah

Bouziri

2014

Int Trans Operational Res

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Cut order planning (COP) is an NP-hard nonlinear optimization problem. Managers of apparel manufacturing units face this problem during the planning of the first stage of the manufacturing process. It affects the fluidity of the work flow and use of fabric. It consists in dividing every garment's order into sections, assigning the sizes to them, and determining their lengths and numbers of layers such that the total fabric length is minimized. Current industrial practice assumes that the length of the layout of a section is known a priori, and it does not depend on its combination of sizes. That is, the industry solves COP independently of the two-dimensional layout (TDL) that is the second stage of the manufacturing process. By relying on the length estimates in lieu of determining the actual length of a section, the industry is obtaining erroneous estimates of the true length used. Herein, COP and TDL are combined into a single problem CT (CT = COP + TDL) whose objective is to minimize fabric length. CT is solved using constructive heuristics, and three metaheuristics: a stochastic local improvement method, global improvement method, and hybrid approach. The approaches are tested on existing benchmark instances and new industrial cases. Their results provide computational proof of the benefits that industry can ripe by combining COP and TDL. The comparison of the performance of the approaches highlights their respective academic and practical utilities.

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A state-space solution search method for apparel industry spreading and cutting

Cited by 13 publications

References 20 publications

Garment mass customization methods for the cutting-related processes

Garment mass customization methods for the cutting-related processes

Análisis del proceso productivo de una empresa de confecciones: Modelación y simulación

Heuristics for the combined cut order planning two‐dimensional layout problem in the apparel industry

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