Anthropometric Dimensions and Preferred Working Surface Heights for the Electronic Operators Workbench

The electronics industry in Malaysia is a leading contributor to the economy, and its contribution will undoubtedly rise in future. Currency it employs more than 168,000 workers and is expected to introduce more new jobs. Ergonomics studies have shown that workplace design greatly influences the performance of workers. Since workbenches are widely used in the electronics industry, design of workbenches with optimal assembly working surface heights for the workers must be considered. A study was conducted to gather data for recommendations for an optimal working surface height for female electronics operators in Malaysia. This paper presents the findings of the above study. Relevant anthropometric dimensions and work surface height preferences for 52 female adults in the Faculty of Engineering, Universiti Pertanian Malaysia, Serdang were recorded. The relationship between preferred work surface height and elbow height was analyse

Effect analysis on strategy implementation drivers

Currently, the strategy implementation is believed to be a dynamic activity within strategic management process. The main objective of this research is to examine the structural relationships between strategy implementation and performance within the small and medium manufacturing firms. In order to implement strategy effectively, it is crucial to consider several organizational issues. The literature indicates that, several researchers have identified three fundamental factors in Strategy Implementation: the structure, leadership style and resources. The current research particularly discusses the main drivers of strategy implementation, prevailing in the smaller industries. In this regard, empirical relationships are established relating strategy implementation and performance of the firm. We provide a structural equation model on the relationship among drivers of strategy implementation and organization performance and also sensitivity analysis on the drivers

Descriptive framework for entrepreneur`s capabilities.

This paper is a part of an PhD research effort to employ an empirically-based development taxonomy for smaller and medium enterprises (SMEs) aim to develop an understanding framework for the SME potential to success within which governments be able to benchmark and relate it to the benefit to the region to adopt their policies. Data from 321SME entrepreneurs in Iran gathered and attempts to descriptive analyze the Iranian SME entrepreneur’s capabilities

A new asymmetric bounded loss-based process capability index

Process capability indices such as Cp, Cpk, Cpu and Cpl are common metrics to evaluate and predict the performance of a process. Although higher process capability indices indicate higher process “quality”, but a high quality process does not necessarily guarantee the fewer rates of rejects. Therefore, a process capability index based on rate of rejects or real losses is more reliable and proper. This paper defines a novel process capability index called asymmetric inverted normal loss-based process capability index (AIPCI) with the aid of asymmetric inverted normal loss function. The logical idea is to compare the standard loss for a capable process with other cases. AIPCI is a bounded asymmetric process capability index and can provide a more realistic metric to evaluate and predict the performance of a process

New process capability index using Taguchi loss functions

Classic process capability indices such as Ca, Cp and Cpk are well-known process capability indices, which are using widely. Since, process capability indices predict the capability of a process, they must have a significant relation with rate of rejects and losses. Studies showed that mostly process capability indices do not have a significant relation with rate of rejects or losses. Therefore, the loss-based indices are more appropriate and suitable indices to predict the capability of a process. In order to define a new loss-based process capability index, Taguchi loss functions were employed and this study proposed a novel process capability index called Taguchi-based Process Capability Index (TPCI). The methodology of this process capability index is based on standard rate of rejects for a capable process compared to other cases. Therefore, this study develops a new process capability index, which is Taguchi loss function-based and sensitive to losses. This new process capability index can provide a realistic and applicable metric to evaluate a process

Modeling approach to the elements of TQM practice

This paper considers three factors; the selection of the Performance Measures, selection of the Critical Success Factors, and selection of quality tools as three elements of TQM. The qualitative research of this study tries to find and model the interrelation between elements of Total Quality Management (TQM) practice in companies

Relationship between drivers of performance in smaller firms.

This study builds a structural model for a generic theory of business success in the SME-context, based on literature from the areas of strategic management and small business management, as well as performance measurement and on empirical evidence from experts. The paper starts by discussing the importance of SME performance study and end the writing with a conceptual model on relationship between strategic management drivers and performance of smaller firms. The prediction ability of this SME performance study is also discussed here as this research result

A material and product audit method for determining the level of quality

This paper introduces a method for evaluating material and product quality. The method is developed based on the normal distribution. For quantitative variable, the method divides the tolerance zones to 3 parts according to normal distribution ±3σ and assigns different scores to tolerance region. For qualitative variables, the method take decision base on the fact that the measurement result can be occurred on two states as accept or reject. Therefore, a Level of Quality (LOQ) will be measured for the product quality based on the measurement of different samples of lot by quantitative and qualitative variables. The method is validated by a numerical example included 2 dimensions