Abstract
A quantitative approach based on decision and utility theories is applied to the selection of engineering management strategies for the operation of desalination plants. The method is powerful in dealing with multiobjective decisions and in accommodating for preferences of decision-makers. The analysis could be influenced by subjective valuation of attributes; however, thorough consideration of all the factors affecting the decision, both qualitatively and quantitatively is possible. As a demonstration of the methodology, analysis is made of the management policies of desalination plants in Saudi Arabia. The options in this case include reliance upon expatriates, indigent personnel, computer and automation or a mix between such alternate strategies. Qualitative investigation shows that shortage in properly trained manpower in developing countries, such as Saudi Arabia, and the associated eagerness for development have made reliance on foreign expertise inevitable. However, foreign experts face several difficulties which often result in discouraging competent personnel especially those with management experience from being actively engaged in management of desalination plants. The host country often suffers in implementing large desalination projects, because of the inferior quality of available personnel, the lack of dedication and the temporariness of the nature of jobs held by foreigners including management positions. Participation of indigent personnel in management of large desalination plants may increase the opportunity of success; however, this is often done prematurely leading to setbacks in the execution of those projects. Intuitively, a mix between foreign and local experts and the use of computers and management strategies requiring minimum number of personnel seems to provide a large potential of success. However, proper selection and supervision of foreign experts is necessary. Such option requires the simultaneous development of adequate data and information banks. Use of quantitative decision analysis shows that extensive use of computers with minimum utilization of indigent personnel is the most preferred option. The second preference is the dependence on indigent personnel with extensive foreign training. Rank order of other options is also given.
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