Design and Performance Review of a Trial Embankment on Deep Soft Ground Near Brisbane Airport, Australia

AbstractThe trend of globalization has led to a structural change in the sales and procurement markets of manufacturing companies in recent decades. In order not to be left behind by this change, companies have internationalized their production structures. Global production networks with diverse supply and service interdependencies are the result. However, the management of global production networks is highly complex. Key performance indicator (KPI) networks already exist at the corporate level and site level to support the management of complex systems. However, such KPI networks are not yet available to support the management of entire production networks. In this article, a KPI network for global production networks is presented, which links the key figures of the site level and the corporate level. By integrating both levels into a comprehensive KPI network, cause and effect relationship between the production-related KPIs and the strategic KPIs of a corporate strategy become transparent. To this end, this KPI network is integrated into a Performance Measurement and Management (PMM) methodology. This methodology consists of three phases: performance planning, performance improvement, and performance review. For testing the practical suitability, the PMM methodology is applied to the production network of an automotive supplier using a simulation model to estimate the effects of proposed improvement actions of the methodology.

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A validation of the performance management scale

International Journal of Quality & Reliability Management ◽

10.1108/ijqrm-04-2017-0064 ◽

2018 ◽

Vol 35 (6) ◽

pp. 1253-1267 ◽

Cited By ~ 10

Author(s):

Khahan Na-nan ◽

Kanokporn Chaiprasit ◽

Peerapong Pukkeeree

Keyword(s):

Factor Analysis ◽

Performance Evaluation ◽

Performance Management ◽

Goodness Of Fit ◽

Mean Square ◽

Evaluation Performance ◽

Content Type ◽

Performance Review ◽

And Performance ◽

Fit Index

Purpose The purpose of this paper is to develop a performance management (PM) scale questionnaire that encompasses the pre-requisite, performance planning, performance evaluation, performance review, and performance application dimensions of PM. Design/methodology/approach In the study, the 33 questionnaire questions were first validated using exploratory factor analysis (EFA) and then by confirmatory factor analysis (CFA) along the three performance dimensions. The research sample consists of 330 entrepreneurs. The factor analysis results confirm the validity of the questionnaire as a reliable entrepreneur PM evaluation tool, as evidenced by the composite reliability of 0.845 and the average variance extracted of 0.532. Findings All constructs revealed the acceptable internal consistency reliability. A good model fit was found for the measurement model using several fit index like χ2=449.983, degree of freedom=415, p-value (p)=0.114, goodness of fit index=0.927, adjusted goodness of fit index=0.901, root mean square error of approximation=0.016, and root of mean square residuals=0.032. Research limitations/implications The PM model was examined using EFA and CFA only. A sample with only SMEs entrepreneurs and large sample size and sample area can be used in future research. Practical implications This research paper is an endeavor to explore only the reliability and validity of the PM model. Thus all the five dimension, namely “pre-requisite” “performance planning,” “performance evaluation,” “performance review,” and “performance application” proved out of be reliable and validated when it will be tested in case of SMEs’ high-growth sectors and high-impact sectors. Originality/value The main contribution of this research is that all factors have a good fit and acceptable reliability value; each factor can be measured individually depending on the nature of the research.

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