Girija Moona

A Retrospective Investigation of Different Uncertainty of Measurement Estimation Approaches

The general method which has been widely used for computation of Uncertainty of measurement is law of propagation of uncertainty (LPU) method as discussed in Guide for Uncertainty of Measurement (GUM). Numbers of other new methods, with the time, have been evolved for the assessment of Uncertainty of measurement in metrological and measurement related applications. Monte Carlo Method (MCM), has been given the most emphasis and has been recommended by JCGM wide its supplement for Uncertainty of measurement vide JCGM supplement 101: 2008. This paper is an attempt to discuss briefly, the procedure and role of Monte Carlo Method technique in Uncertainty of measurement.

Evaluation of uncertainty of measurement of shadow mask dot pitch using different approaches

The present paper discusses procedure for uncertainty of measurement evaluation in an experimental investigation to measure shadow mask dot pitch using laser interferometry. Here, we discuss evaluation of uncertainty of measurement in accordance to Law of propagation of uncertainties (GUM/LPU) and Monte Carlo Simulation (MCS) approaches. MCS has been recognized as an alternative approach to LPU in guide to measurement uncertainties (GUM) for evaluation of uncertainty of measurement and other related applications. A comparison of findings of GUM/LPU and MCS is made, which appears to be in good agreement. The present study attempts to investigate the suitability of MCS for evaluation of measurement of uncertainty in case of shadow mask dot pitch and reveals the significance of MCS in this regard.

Restructuring of a plant production layout by using different array-based clustering techniques

This paper deals with restructuring of plant production layout by using two different clustering technique algorithms, namely rank order clustering (ROC) and genetic algorithm (GA) for manufacturing cell formation, with a real-life example to identify the effectiveness of the two clustering techniques. The objective is to cluster the machines and parts in such a manner, so that the advantages of cellular manufacturing systems/group technology are attained in terms of optimisation of setup time, reduction of material handling and reduction of total manufacturing lead time. A comparative study is done between the conventional layout and restructured layouts. The results obtained show that with ROC the total setup time for all 13 parts is reduced by 56%, total distance travelled during material handling is reduced by 56% and total lead time for all 13 parts is reduced by 20% as compared to the conventional layout, while with GA the total setup time for all 13 parts is reduced by 67%, the total distance travelled during material handling is reduced by 62% and total lead time for all 13 parts is reduced by 25% as compared to the conventional layout.