| dc.description.abstract | In personnel and machines dispatch of traditional tap-water pipeline maintenance engineering, people usually assign by empirical rule; when there are many cases and personnel needs permute complicatedly, it is very important of whether the dispatch of decision maker is appropriate or not. If the dispatch delays, it not only results in unnecessary fine, affect company’s good reputation, but also waste precious Water Resources.The field of this study includes daily report-back leaking cases, and personnel and machines dispatch of maintenance factory owner; besides, we use linear to map out optimization model, extract the dispatch of approach time and personnel, tool, and resource in every case, offer reference for contact factory owner when deciding about perfect dispatch; finally, obtain the goal of the quickest approach time and finishing case on time. In addition, we carry out susceptibility analysis by following the changing trend of susceptibility in every parameter to acquire minimum of acquired manpower and machines in every case, and then reach the goal of making best use of manpower and machines. In solution matter aspect, we input acquired manpower, machines, working-hour, time of reporting cases in EXCEL software to receive some basic information, such as overtime of every reported case; besides, we input LINGO 8.0 to expect the result of the quickest approach time, manpower, and tool when deciding dispatch. To test and verify the rationality and practicability of this model, we take one of the leaking factory owner in Taipei Water Department, South District Business Office as example to carry out imitating test; besides, we compare the result of dispatch by using optimization model and general personnel experience to test and verify the dispatch result which producing from optimization model in this study, and then make sure the approach time of dispatch by using optimization model is quicker and more effective than dispatch by using personnel experience. In a nutshell, people can use the result in this study flexibly to plan about earlier category and fluctuation of personnel and machines; finally, help decision maker to plan for perfect plan.
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