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A Fuzzy-Logic advisory system for lean manufacturing within SMEs

机译:中小企业精益生产的模糊逻辑咨询系统

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摘要

This research paper presents the development of a fuzzy-logic advisory system to assist small-medium size companies (SMEs) as a decision support tool for implementing lean manufacturing. The system is developed using fuzzy logic rules, with a combination of research methodology approaches employed in the research study that included data collection from ten manufacturing SMEs through documentation analysis, observation of companies' practices and semi-structured interviews. The overall system comprises three fuzzy-logic advisory sub-systems that feed into a main system. These outputs are relative cost of lean implementation, a company lean readiness status and the level of value-add to be achieved (impact/benefits). The three sub-systems were validated with hard data that enabled the assignment of a number of input variables whose membership functions aided the definition of the linguistic variables used. The main system yielded heuristic rules that enable the postulation of scenarios of lean implementation (Do-it, Probably do-it, Possibly do-it and Do not do-it). This was also validated with a number of firms based within the UK. Moreover, expert opinions encompassed those in both academic and industrial settings. The developed system has the capability to assess the impact of implementing lean manufacturing within small-to-medium sized manufacturers. Hence, a major contribution of the developed system is its provision of the heuristic rules that aid decision-making process for lean implementation at the early implementation stage. The visualisation facility of the developed system is also a useful tool in enabling potential lean users to forecast the relative cost of the lean project upfront, anticipate lean benefits, and realise the degree of lean readiness.
机译:本研究论文提出了一种模糊逻辑咨询系统的开发,以协助中小型公司(SME)作为实施精益制造的决策支持工具。该系统是使用模糊逻辑规则开发的,并结合了研究研究中使用的研究方法论方法,其中包括通过文档分析,对公司实践的观察和半结构化访谈从十个制造业中小型企业收集数据。整个系统包括三个进入主系统的模糊逻辑咨询子系统。这些输出是精益实施的相对成本,公司精益准备状态和要实现的增值水平(影响/收益)。这三个子系统已通过硬数据验证,该数据可分配多个输入变量,这些输入变量的隶属函数有助于定义所使用的语言变量。主系统产生了启发式规则,这些规则支持精益实施方案的假设(“执行”,“可能执行”,“可能执行”和“不执行”)。英国的多家公司也对此进行了验证。此外,专家意见涵盖了学术和工业领域的意见。开发的系统具有评估在中小型制造商中实施精益制造的影响的能力。因此,已开发系统的主要贡献在于它提供了启发式规则,有助于在早期实施阶段帮助决策过程实现精益实施。开发的系统的可视化工具也是使潜在的精益用户能够预先预测精益项目的相对成本,预测精益收益并实现精益准备程度的有用工具。

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