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Enhancing the effectiveness of AHP for environmental performance assessment of Thailand and Taiwan's food industry

机译:增强层次分析法在泰国和台湾食品工业环境绩效评估中的有效性

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摘要

The concept of green manufacturing is emerging as a means of enhancing a firm's competitiveness through intelligent systems and process improvement to eliminate adverse effects on the environment. However, environmental performance (EPA) is challenging from the decision-making perspective because of difficulty determining and prioritising the proper factors that have significant effect on a firm's EPA. This study was conducted with the objective of enhancing the effectiveness of the analytic hierarchy process (AHP) to assess EPA by integrating exploratory factor analysis and confirmatory factory analysis to validate suitable criteria and sub-criteria. A questionnaire survey was employed as a tool to collect data from 341 managers of Thailand and Taiwan's food industry and the AHP approach used for normalisation, ranking, and simulation of sensitivity analysis. The results obtained indicate that quality policy, quality assurance, and quality control, respectively, are the three most important factors in the measurement of EPA, whereas organisational support in innovativeness is assigned the lowest priority. Based on simulations for sensitivity analysis, the results can be applied to guide managers' decisions in the course of steering their firms towards sustainable manufacturing.
机译:绿色制造的概念正在兴起,它是通过智能系统和流程改进来消除对环境的不利影响来增强公司竞争力的一种手段。但是,从决策角度出发,环境绩效(EPA)面临挑战,因为难以确定和优先考虑对公司EPA有重大影响的适当因素。进行这项研究的目的是通过整合探索性因素分析和工厂验证性分析以验证合适的标准和子标准,从而提高层次分析法(AHP)评估EPA的有效性。问卷调查被用作从泰国和台湾食品行业的341位经理收集数据的工具,以及用于敏感性分析的归一化,排名和模拟的AHP方法。获得的结果表明,质量政策,质量保证和质量控制分别是衡量EPA的三个最重要因素,而创新方面的组织支持则被列为最低优先事项。基于敏感性分析的模拟结果,该结果可用于指导管理人员在引导公司迈向可持续制造过程中的决策。

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