The derivation of a brief Student Nurse Stress Index

The lack of an adequate measure of perceived sources of stress for student nurses led to the construction of the Student Nurse Stress Index (SNSI). Responses from 235 first-year student nurses to 35 items from the Beck and Srivastava Stress Inventory (Beck, and Srivastava, 1991), and 15 new items, were subjected to exploratory factor analysis using principal components analysis and oblimin rotation. A reliable 22-variable solution with a simple oblique structure including Academic load, Clinical sources, Interface worries, and Personal problems factors was obtained in this initial sample, and confirmed at an exploratory level in a further independent validation sample of 188 first-year students. Confirmatory factor analysis established the four-factor model in the first sample, but required that three variables load onto more than one factor. This more complex four-factor model was confirmed using independent data from the validation sample, and the total invariance of factor loadings and factor covariances of this more complex four-factor model was established in both data sets simultaneously using multi-sample techniques. The SNSI shows cross-sample factor congruence, good internal reliabilities, and concurrent and discriminant validity across a range of reporting conditions.     

A decomposition technique for quantifying real process performance

A decomposition technique for quantifying the impacts of changes in product mix and process performance on aggregate process-related indicators is presented. Through application of the technique, the real performance of a process can be quantified. Changes in real performance over time can be monitored to provide useful information for process evaluation and production planning. Two case studies, one related to the aggregate defective rate for an assembly line of an integrated circuit fabrication plant and the other to the aggregate inventory turnover for a tyre distribution company, are presented to illustrate the application of the technique.     

Systems innovation manager

Each year organizations spend a significant amount of money developing new products and processes in an effort to satisfy customer demands and manufacture high-quality products efficiently. Both development processes - product and process, are complex, resource intensive and thrive on innovation. They demand a variety of skills and resources, but in particular, participation among all staff in generating ideas, managing projects and implementing change. There are currently a number of software tools and methods that facilitate change in a systems environment. These range from complex modelling tools to information management tools. The tools have been developed around paradigms, e.g. world class manufacturing, total quality management and business process reengineering. They are often complex, requiring the efforts of skilled designers and managers. Current thinking within a systems environment reflects a more participative and less specialist approach to managing innovation and change. There is a need to create compromise between detailed project engineering and good management practice. This paper introduces a new paradigm centred on good management practice, and identifies the critical issues in systems innovation and change. The paradigm is articulated through a series of change levers and a methodology that guides managers and designers. It is supported by a series of software tools that together bring innovation management to life within the industrial organization.     

The impact of non-bottleneck variation in a manufacturing cell

Protective capacity is the 'extra' capacity placed at non-bottleneck resources to absorb random disruptions in planned levels of performance so that the bottleneck resource continues to be effectively utilized. A full factorial experiment with a simulation model was conducted to explore issues associated with the quantity and location of processing variance in a five-station manufacturing cell. The cell's performance was measured using both mean flow time ( MFT ) and bottleneck shiftiness ( SHIFT ) for 3 patterns of variance for the non-bottlenecks at 5 different levels of variation. In order to investigate the importance of the quantity of added capacity on the variation both a low level of protective capacity (10%) and a high level (50%) were considered. The results indicate that having the higher variation work centres close to the bottleneck provides reduced MFT and SHIFT . The performance measures improved at both the low and high setting of protective capacity.     

Survey of manufacturing curricula from around the world

In the manufacturing organization cost or more specifically cost reduction is an everyday obsession with managers and engineers. To compete globally and win new contracts, manufacturing firms need to learn how to be responsive, lean and efficient. On the other hand, in order to retain and motivate workers, improve systems efficiency and conform to various regulations including health, safety and the environment, manufacturing firms need to continuously invest. Both opposing pressures create a challenging environment for manufacturing managers and engineers. This paper introduces research into how the manufacturing environment is changing and in particular the type of issues that manufacturing managers and engineers need to learn. The paper presents the first results of a study being conducted by a number of academic institutions and industries from around the world into manufacturing education issues. The principle aim of the research consortium is to anticipate the needs of manufacturing organization of the future and to provide a framework for curriculum development within universities that meet these needs. This paper specifically outlines the results of a study of existing manufacturing curricula from around the world and takes an in-depth look at four recently developed masters programmes.     

A mathematical model and genetic algorithm-based approach for parallel two-sided assembly line balancing problem

Assembly lines are usually constructed as the last stage of the entire production system and efficiency of an assembly line is one of the most important factors which affect the performance of a complex production system. The main purpose of this paper is to mathematically formulate and to provide an insight for modelling the parallel two-sided assembly line balancing problem, where two or more two-sided assembly lines are constructed in parallel to each other. We also propose a new genetic algorithm (GA)-based approach in alternatively to the existing only solution approach in the literature, which is a tabu search algorithm. To the best of our knowledge, this is the first formal presentation of the problem as well as the proposed algorithm is the first attempt to solve the problem with a GA-based approach in the literature. The proposed approach is illustrated with an example to explain the procedures of the algorithm. Test problems are solved and promising results are obtained. Statistical tests are designed to analyse the advantage of line parallelisation in two-sided assembly lines through obtained test results. The response of the overall system to the changes in the cycle times of the parallel lines is also analysed through test problems for the first time in the literature.     

Expert system for production manager recruitment

Abstract

Production manager recruitment poses a three-fold problem: finding a broad-knowtedged recruiter; obtaining an objective evaluation of the candidate; and the ever present risk of accepting unqualified candidates and rejecting qualified candidates A prototype expert system (ES) was developed for the purpose of testing the technical potential for computer assisted recruiting. The ES embodied a three-fold strategy: probing the candidate's past; asking questions from a business case study; and from several human-behaviour, video-taped episodes. The candidate's responses are graded, rated for competency (excellent, good, fair, poor), and weighted. A hiring action is recommended based on the composite weight. The prototype effectively demonstrated thit potential for expert system-conducted recruiting.     

Planning and control systems in materials management-an empirical study

The article presents a conceptual framework for the planning and control system in materials management. By an empirical analysis, three phases of development of the planning and control system in materials management are derived. These are related significantly with the kind of materials management. The main influencing factors are quality of management, quality of controlling, importance of materials management, and importance of the goals of materials management.     

Trade-off between quoted lead time and price

In a make-to-order environment, lead time and price can play a crucial role in determining the financial success of a firm. Their importance increases when demand is sensitive to the quoted lead time and price. A model is presented which uses the quoted lead time and price as a mechanism to determine the optimal demand level. The relationships between the model parameters and their impacts on the firm's profit is also analysed. In addition, the effect of the number of job requests, and the mean processing time are examined. Based on the results presented in this paper, there is clear indication that the firm's profit is sensitive to the inventory holding rate, and that the inventory holding cost component is redundant in the presence of a tardiness cost component.     

Measuring and analysing supply chain schedule stability: A case study in the automotive industry

Final assembly plants send material schedules to first-tier suppliers who in turn send schedules to second-tier suppliers and so on through the multiple tiers of the supply chain. A key cost driver for the supply chain is a schedule characteristic termed stability. The Total Quality Management approach is applied to improve schedule stability in the supply chain of a large vertically integrated automotive manufacturer. A measurement described, actual stability results are provided, the causes of instability are listed, and some corrective actions are specified. Results indicate that schedule stability can be improved without damaging the performance of other measures such as inventory and customer responsiveness. and analysis process is