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首页> 外文期刊>The Journal of the Textile Institute >Developing an analytic network process model for identifying critical factors to achieve apparel safety
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Developing an analytic network process model for identifying critical factors to achieve apparel safety

机译：开发分析网络过程模型以识别关键因素以实现服装安全

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摘要

Apparel safety is a key determinant of competitiveness in today's dynamic and turbulent business environment. Apparel risks may cause catastrophic damages to wearer and result in substantial costs in terms of lost production and emergency recall operations. Identification of user safety indicators associated with apparel design and production is a very complex and critical task. The aim of this paper was to propose an analytic network process (ANP) model that serves to identify critical indicators for achieving apparel safety. This was the first time that this method was used in such a context. First, we constructed a reference framework of the indicators that contribute to achieving apparel safety based on a systematic analysis of the related references. Then, we developed an ANP model that provides a systematic approach to explore and analyze influential relationships between safety indicators and computes a weight to each indicator representing its relative importance. A comparison was conducted between ANP and analytic hierarchy process which shows the differences between the two methods. Finally, managerial implications were presented for apparel firms. The model also provides an efficient evaluating mechanism for safety indicators of apparels in industry.
机译：在当今瞬息万变的商业环境中，服装安全是竞争力的关键决定因素。服装风险可能会对穿着者造成灾难性损害，并因生产损失和紧急召回操作而导致巨额成本。识别与服装设计和生产相关的用户安全指标是一项非常复杂且关键的任务。本文的目的是提出一个分析网络过程（ANP）模型，该模型可用于识别实现服装安全的关键指标。这是在这种情况下首次使用此方法。首先，我们在对相关参考文献进行系统分析的基础上，构建了有助于实现服装安全性的指标参考框架。然后，我们开发了一个ANP模型，该模型提供了系统的方法来探索和分析安全指标之间的影响关系，并计算代表其相对重要性的每个指标的权重。在ANP和层次分析法之间进行了比较，显示了两种方法之间的差异。最后，介绍了对服装公司的管理意义。该模型还为工业服装的安全指标提供了一种有效的评估机制。

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