A Hybrid Methodology for Nesting Irregular Shapes: Case Study on a Textile Industry

Bonfim, A.; Pinheiro, Plácido Rogério; Saraiva, Rommel Dias

doi:10.3182/20130911-3-br-3021.00056

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…It is difficult to achieve the best grouping for redesign through the manual hit and trial method. The heuristic approach of the GA can achieve the best redesign fit for the group (Fischer and Dagli, 2004; Junior et al , 2013). In an IGA, the user (designer) can customize redesign for extracted parts, and at the same time, IGA can also suggest an optimal design to designers.…”

Section: Methodsmentioning

confidence: 99%

A sustainable model based on genetic algorithm for garment redesign process

Paras

Wang

Ekwall

2023

JFMM

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PurposeThis study proposes a garment modularization model based on an interactive genetic algorithm. The suggested model consists of extraction and identification of parts and the determination and implementation of connections. Rules and corresponding mathematical equations have been formulated for the part's extractions from the discarded products and connections for the redesigned products.Design/methodology/approachSustainability entices scholars and practitioners while referring to reducing waste to control environmental degradation. One of the ways to safeguard natural resources is to increase the reuse of old or discarded products. The current study focuses on the redesign process to improve the reuse of products.FindingsThe intelligent system proposed based on the modularization techniques is expected to simplify and quantify the redesign process. The model can further help in the minimization of wastage and environmental degradation.Originality/valuePresently, manual decisions are taken by the designers based on their memory, experience and intuition to extract and join the parts.

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Section: Methodsmentioning

confidence: 99%

A sustainable model based on genetic algorithm for garment redesign process

Paras

Wang

Ekwall

2023

JFMM

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“…For large models structured, considering the traveling salesman problem approach becomes necessary for other methodologies [30][31][32].…”

Section: Structuring For Testmentioning

confidence: 99%

Dye Schedule Optimization: A Case Study in a Textile Industry

Gomes¹,

Pinheiro

Saraiva

2021

Applied Sciences

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In a demanding and globalized market, production management plays a fundamental role in the company’s reference. Proper management of the production area allows companies to obtain productivity gains, reducing operational costs and make contributions to face the competitiveness of their competitors. When defining its strategic objectives in a productive system, it is necessary to formulate plans to manage human resources and strategies based on requirements. In this context, planning, production, and control (PPC) is an excellent ally of the organizations. The adequate development of the activities of the PPC allows companies to minimize production orders not attended, minimize stocks of raw materials, and finished products, minimize idleness of human resources by efficient allocation of work and minimize production processing times. The present work proposes a study to organize and develop a model that guides the prediction of the setup gain in the fabric dyeing process, structured by the traveling salesman problem.

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“…It is difficult to achieve the best grouping through the manual method involving the hit and trial approach. The heuristic approach of the genetic algorithm can achieve the best fit to the group [27,28]. In the grouping genetic algorithm (GGA), the user can achieve fitness by grouping the components through an iterative process.…”

Section: Grouping Genetic Algorithmmentioning

confidence: 99%

A Sustainable Application Based on Grouping Genetic Algorithm for Modularized Redesign Model in Apparel Reverse Supply Chain

et al. 2018

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The scarcity of natural resources and the problem of pollution have initiated the need for extending the life and use of existing products. The concept of the reverse supply chain provides an opportunity to recover value from discarded products. The potential for recovery and the improvement of value in the reverse supply chain of apparel has been barely studied. In this research, a novel modularized redesign model is developed and applied to the garment redesign process. The concept of modularization is used to extract parts from the end-of-use or end-of-life of products. The extracted parts are reassembled or reconstructed with the help of a proposed group genetic algorithm by using domain and industry-specific knowledge. Design fitness is calculated to achieve the optimal redesign. Subsequently, the practical relevance of the model is investigated with the help of an industrial case in Sweden. The case study finding reveals that the proposed method and model to calculate the design fitness could simplify the redesign process. The design fitness calculation is illustrated with the example of a polo t-shirt. The redesigned system-based modularization is in accordance with the practical situations because of its flexibility and viability to formulate redesign decisions. The grouping genetic algorithm could enable fast redesign decisions for designers.

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A Hybrid Methodology for Nesting Irregular Shapes: Case Study on a Textile Industry

Cited by 9 publications

References 22 publications

A sustainable model based on genetic algorithm for garment redesign process

A sustainable model based on genetic algorithm for garment redesign process

Dye Schedule Optimization: A Case Study in a Textile Industry

A Sustainable Application Based on Grouping Genetic Algorithm for Modularized Redesign Model in Apparel Reverse Supply Chain

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