STUDYING OPERATIONS STRATEGY THROUGH CAUSE AND EFFECT CORRELATION
Abstract
The companies use the performance results to identify their main problems and to analyse the cause roots in their production systems, supplier network and process technology. The purpose of this paper is to analyze cause and effect relationships among the performance dimensions and decision areas in the framework of operations strategy. The explored dataset is a research project named 4th Round of High Performance Manufacturing Project. The dataset holds indicators from 304 manufacturing companies in 13 countries. The techniques used for the analysis were descriptive statistics, normality test, factor analysis, and Multiple Linear Regression. As main results, the following cause and effect correlations for each manufacture performance dimension were found: innovation, flexibility, quality, cost, speed, and reliability. The results support the building of cause and effect diagrams regarding performance dimensions and decision areas to be used on improvements to the companies.
Keywords
High performance manufacturing, operations strategy, performance dimension, decision area
DOI
10.12783/dtetr/icpr2017/17579
10.12783/dtetr/icpr2017/17579
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