Reducing waste in garment factories by intelligent planning of optimal cutting orders

Alsamarah, Walaa; Younes, Basel; Yousef, Maged

doi:10.1080/00405000.2021.1956711

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…Recently, Tsao et al (2020) presented a SA-based GA and a tabu-searchbased GA to solve the COP problem. Alsamarah et al (2022) applies GA to optimize the cutting table and minimize the fabric waste. Their proposed scheduling methods included the movement of orders when comparing with the original process to reduce in the percentage of waste of fabric by 2.62%.…”

Section: Heuristics For Copmentioning

confidence: 99%

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Design heuristics for cut order planning problems in the apparel industry

Tsao,

Liu,

Chen

et al. 2024

IJCST

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PurposeIn recent years, the demand for garments has significantly increased, requiring manufacturers to speed up their production to attract customers. Cut order planning (COP) is one of the most important processes in the apparel manufacturing industry. The appropriate stencil arrangement can reduce costs and fabric waste. The COP problem focuses on determining the size combination for a pattern, which is determined by the length of the cutting table, width, demand order, and height of the cutting equipment.Design/methodology/approachThis study proposes new heuristics: genetic algorithm (GA), symbiotic organism search, and divide-and-search-based Lite heuristic and a One-by-One (ObO) heuristic to address the COP problem. The objective of the COP problem is to determine the optimal combination of stencils to meet demand requirements and minimize the total fabric length.FindingsA comparison between our proposed heuristics and other simulated annealing and GA-based heuristics, and a hybrid approach (conventional algorithm + GA) was conducted to demonstrate the effectiveness and efficiency of the proposed heuristics. The test results show that the ObO heuristic can significantly improve the solution efficiency and find the near optimal solution for extreme demands.Originality/valueThis paper proposes a new heuristic, the One-by-One (ObO) heuristic, to solve the COP problem. The results show that the proposed approaches overcome the long operation time required to determine the fitting arrangement of stencils. In particular, our proposed ObO heuristic can significantly improve the solution efficiency, i.e. finding the near optimal solution for extreme demands within a very short time.

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Section: Heuristics For Copmentioning

confidence: 99%

“…(2020) presented a SA-based GA and a tabu-search-based GA to solve the COP problem. Alsamarah et al . (2022) applies GA to optimize the cutting table and minimize the fabric waste.…”

Section: Literature Reviewmentioning

confidence: 99%

Design heuristics for cut order planning problems in the apparel industry

Tsao,

Liu,

Chen

et al. 2024

IJCST

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Section: Market’s Needs Limitations Performance and Problemsmentioning

confidence: 99%

“…27 In garment industry/cutting department, a new designed algorithm demonstrated its ability to arrange the parts of the molds within the marker more efficiently than the traditional method, as the algorithm achieved an improvement in the percentage of fabric consumption 2.5-3% and reduced waste. 99 Smart E-textiles provides a new advantage to the wearer for different application such as 40 Medical and health monitoring (wireless-enabled garment for simultaneous acquisition and continuous monitoring of electrocardiographic, respiration, electromyogram, and physical activity, sensitized vest, and wearable sensitized garment/smart shirt, remote monitoring of a patient), Military and defense (personal protective clothing, individual equipment, and defense system and weapons), and Sport applications (tennis rackets, pole vault poles, athletic sports apparels, advanced computer stimulations and motion capture).…”

Section: Smart E-textiles Applicationsmentioning

confidence: 99%

Smart E-textiles: A review of their aspects and applications

Younes

2023

Journal of Industrial Textiles

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The innovation in high-converging technology using electronics and textiles augments the functionality of E-textiles as Smart E-Textiles (SETs), which overcome the gap between interactivity and inter-connectivity. The current article presents a review about the recent developments in Smart E-textiles and their relationship with other modern technologies. Smart E-Textiles can be developed via smart sensors, wireless communication technologies, embedded technologies, and nanotechnology, which can monitor activity for modern applications. Investments in research and development of Smart E-Textiles will encourage the use of them as sustainable and cost-effective options for light-weight, high-performance wearable technology for monitoring a wide range of the digitization activities of Smart E-Textiles applications.

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“…And a third-dimensional (3D) software program is used in zero-waste vogue sketch with a focal factor on its utility in the industry (5,6) . A mathematical mannequin used to be developed to be used in combined integer nonlinear programming for a manual minimize order plan, and a software code used to be created in LINGO optimization software, ideal effects that cannot be manually calculated (7,8) . The working association of the reduced template is dealt with as a cut order format (COP) to optimize slicing templates of cloth lowering feature in clothing manufacturing.…”

Section: Introductionmentioning

confidence: 99%

Reduction of Garments Cutting Wastage for Bulk Production by Increasing or Decreasing Pattern Size Matching with Garments Size Tolerance

Ali¹

2022

IJST

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Objectives:The purpose of this study is to reduce fabric consumption by improving marker efficiency. The improvements of the existing markers lead to reduce fabric wastage during the cutting process. Methods: The Gerber CAD/CAM software version AccuMark 8.5.1 is used in the present study was made pattern and marker. A noble approach is used to conduct this experiment through Gerber CAD/CAM software. Easy marker produced at the initial stage then it replaces by the actual market by considering the allowance of developed specimen. Wastes have decreased and overall efficiency has increase up to 9.25%. Findings: The marker efficiency considerably varies in accordance to the aggregate of pattern size, size ratio and adjustment of pattern size with garments size tolerance. The enhancements in the marker efficiency decrease the fabric consumption per garment and amplify aid effectively while preventing waste generation. A saving of up to 9.25% material that saves millions of lots per year has an enormous impact on reducing aid depletion and environmental pollution. Novelty: A novel method is used to increase the marker efficiency and the style no S22BL202, Polo-TsT101, S22-W20201, S22-W20201 have used to conduct our research. As based of our knowledge, this noble approach with above style is not reported yet. So, this study will contribute to increase the increase marker efficiency followed by the save fabric and money.

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Reducing waste in garment factories by intelligent planning of optimal cutting orders

Cited by 6 publications

References 10 publications

Design heuristics for cut order planning problems in the apparel industry

Design heuristics for cut order planning problems in the apparel industry

Smart E-textiles: A review of their aspects and applications

Reduction of Garments Cutting Wastage for Bulk Production by Increasing or Decreasing Pattern Size Matching with Garments Size Tolerance

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