The development of an expert system for the identification anodic coating process defects as a contribution to the dissemination of anodizing technology

Initially this thesis examines the various mechanisms by which technology is acquired within anodizing plants. In so doing the history of the evolution of anodizing technology is recorded, with particular reference to the growth of major markets and to the contribution of the marketing efforts of the aluminium industry. The business economics of various types of anodizing plants are analyzed. Consideration is also given to the impact of developments in anodizing technology on production economics and market growth. The economic costs associated with work rejected for process defects are considered. Recent changes in the industry have created conditions whereby information technology has a potentially important role to play in retaining existing knowledge. One such contribution is exemplified by the expert system which has been developed for the identification of anodizing process defects. Instead of using a "rule-based" expert system, a commercial neural networks program has been adapted for the task. The advantages of neural networks over 'rule-based' systems is that they are better suited to production problems, since the actual conditions prevailing when the defect was produced are often not known with certainty. In using the expert system, the user first identifies the process stage at which the defect probably occurred and is then directed to a file enabling the actual defects to be identified. After making this identification, the user can consult a database which gives a more detailed description of the defect, advises on remedial action and provides a bibliography of papers relating to the defect. The database uses a proprietary hypertext program, which also provides rapid cross-referencing to similar types of defect. Additionally, a graphics file can be accessed which (where appropriate) will display a graphic of the defect on screen. A total of 117 defects are included, together with 221 literature references, supplemented by 48 cross-reference hyperlinks. The main text of the thesis contains 179 literature references. (DX186565)

Expatriate managers adjustment and its impact on subordinates reactions: a cross cultural leadership study of Kenya and Ethiopia

Research on culture, leadership and adjustment shows that societal culture influences leadership in such a way that it can impact on expatriate managers' effectiveness and adjustment in a new culture. In previous research, cultural background, personality, motives or behaviour of expatriate managers and their followers' reactions to them have been investigated in Europe, America and Asia. However, little attention has been paid on research on expatriate managers in African cultures especially in Eastern Africa. The present study represents an attempt to address the gap by examining how societal culture, leadership and adjustment success are interrelated for expatriate managers in Kenya and Ethiopia. Questionnaire data were obtained from a) local middle managers (N=160) for studying societal culture and leadership in Kenya and Ethiopia, b) expatriate managers in non-governmental organizations - NGOs (N=28) for studying expatriate managers' personality, motives and adjustment success and c) their immediate subordinates (N=125) for studying the expatriate managers' behaviours and their subordinates' reactions to them. Additionally, expatriate managers were interviewed and responses were coded for implicit motives, experiences and adjustment. SPSS was used to analyse data from questionnaires to obtain cultural and leadership dimensions, leader behaviour and subordinate reactions. The NVIVO computer based disclosure analysis package was used to analyse interview data. Findings indicate that societal culture influences leadership behaviours and leadership perceptions while the expatriate managers' motives, behaviours, personality and the cross cultural training they received prior to their assignment impact on the expatriates' adjustment success and on subordinates' reactions to them. The cultural fit between expatriate managers' home country (19 countries) and the target country (Kenya or Ethiopia) had no significant association with adjustment success but was positively related to expatriate behaviour and negatively associated with subordinates reactions. However, some particular societal practices - obviously adopted by expatriates and transferred to their target country - did predict subordinates' commitment, motivation and job satisfaction. Furthermore, expatriates' responsibility motivation was positively related to their adjustment success. Regarding leadership behaviours and effectiveness, expatriate' supportive behaviours predicted subordinates' job satisfaction most strongly. Expatriate managers expressing their management philosophies and experience shed light on the various aspects of adjustment and management of NGOs. In addition, review of Kenyan and Ethiopian cultures and the NGO context in these countries offers valuable information for expatriate managers. This study's general imphcation for Cross Cultural Management and lnternational Human Resources Management is that the combination of culture general and culture specific knowledge and reflections on Eastern Africa countries can inform senior management and international HR staff about the critical issue of what to include in training, coaching, and actual experience in a particular host country in order to ensure effective leadership. Furthennore, this knowledge is expected to influence expatriate managers' behaviour modification to enhance positive subordinate reactions. Questions about how to prepare expatriate managers and subordinates to work more competently and sensitively across cultures are addressed. Further theoretical implications, limitations of the study and directions for future research are also addressed.

Modelling human performance within manufacturing systems design:from a theoretical towards a practical framework

Computer-based simulation is frequently used to evaluate the capabilities of proposed manufacturing system designs. Unfortunately, the real systems are often found to perform quite differently from simulation predictions and one possible reason for this is an over-simplistic representation of workers' behaviour within current simulation techniques. The accuracy of design predictions could be improved through a modelling tool that integrates with computer-based simulation and incorporates the factors and relationships that determine workers' performance. This paper explores the viability of developing a similar tool based on our previously published theoretical modelling framework. It focuses on evolving this purely theoretical framework towards a practical modelling tool that can actually be used to expand the capabilities of current simulation techniques. Based on an industrial study, the paper investigates how the theoretical framework works in practice, analyses strengths and weaknesses in its formulation, and proposes developments that can contribute towards enabling human performance modelling in a practical way.