Pantit Varnakomala and Anucha Thapayom
Aim: The productivity management of the manufacturing industry is a foundation for driving the country towards a stable, stable economy and has an effect on increasing the country's competitiveness. The purposes of this research were to study the strategy of productivity management for Thailand manufacturing. Methodology: The model has been simulated from the findings of both quantitative and qualitative of 500 questionnaires distributed to executive, manager or engineer of the manufacturing business in Thailand that recognized and won the global or nation industry rewards in productivity or quality management. The data were analyzed be descriptive analysis categorized into medium & small and large size manufacturer to conduct the model in compatible with empirical data. Finding: The results reveal that: 1) the simulation model in strategy of productivity management for Thailand manufacturing consists of 4 factors i.e. process management, labor management, supply chain management and innovation management. The executive, manager and engineer gave very high importance on productivity management strategic at 3.80 on medium & small and 4.14 on large size manufacturer respectively. The analysis of the importance on each aspect shows high importance on productivity management strategic in all factors 2) The development of SEM shows that the model fits with the empirical data at the 0.072 Chi-square probability levels, relative chi-square at 1.186, goodness of fit index at 0.967 and root mean square error of approximation at 0.019. 3) The hypothesis results shows the following influencing factors: Labor management has direct influence on process management at the statistically significant level of 0.001, Labor management has direct influence on innovation management at the statistically significant level of 0.001, Process management has direct influence on supply chain management at the statistically significant level of 0.001 and innovation technology management has direct influence on supply chain management at the statistically significant level of 0.001. Conclusion: The Strategy of Productivity Management for Thailand Manufacturing comprises four main factors which are very high important on labor management of both medium & small and large manufacturer. The factors are ranked according to their important levels referred Linkert’s scale as follows: Labor Management, Process Management, Supply Chain Management and Innovation Management respectively. The medium & small size give the most important factor on labor management and large size give the most important factor on process management to be a Strategy of Productivity Management for Thailand Manufacturing. The show passing the criteria of the model fitting with the empirical data. It was found that ChiSquare Probability Level equaled 0.072, Relative Chi-square was 1.186, Goodness of fit index was 0.967 and Root Mean Square Error of approximation was 0.019.