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Decision support system for sample development in the Hong Kong garment industry

机译:香港制衣业样本开发的决策支持系统

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摘要

In today's garment industry, speed to market is important considering the fast fashion trend. In particular, the efficiency of new product development (NPD) is critical in gaining competitive advantages. The garment industry is material intensive, thus making it more difficult for merchandisers to ensure material availability for sample development compared with other manufacturing industries. Conventionally, when materials with a long lead time affect the sample-making progress, merchandisers formulate action plans based solely on experience. Without any knowledge support for merchandising operations, these merchandisers may fail to make wise decisions, resulting in a long sample development cycle and poor customer satisfaction. The current paper proposes a sample development decision support system to provide knowledge support for sample development. The present study attempts to use rule-based reasoning for determining sample-making operation lead times and material delay times for sample making, followed by case-based reasoning to support the knowledge manipulation involved in sample order processing. After a pilot study in a Hong Kong garment company, the proposed system is found to help accelerate NPD processes by considering both material arrival dates and sample delivery dates to provide merchandisers with suggested guidelines in the sample development process.
机译:在当今的服装行业中,考虑到快速的流行趋势,加快上市速度非常重要。特别是,新产品开发(NPD)的效率对于获得竞争优势至关重要。服装行业是材料密集型行业,因此与其他制造业相比,采购员更难以确保样品开发所需的材料可用性。传统上,当交货时间长的材料影响样品制作进度时,销售人员仅根据经验制定行动计划。如果没有对销售操作的任何知识支持,这些销售商可能无法做出明智的决定,从而导致样本开发周期长且客户满意度低。本文提出了一种样本开发决策支持系统,为样本开发提供知识支持。本研究尝试使用基于规则的推理来确定样本制作的样本制作操作提前期和材料延迟时间,然后使用基于案例的推理来支持样本定单处理中涉及的知识操纵。在一家香港制衣公司进行了初步研究后,发现该提议的系统可以通过考虑物料到达日期和样品交付日期来帮助NPD流程加速,从而为商家提供样品开发过程中的建议指导。

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