| dc.description.abstract | Hsinchu Science Park’s waste water plant is the final place dealing with waste water. Its internal laboratory inspectors take charge of inspecting water samples, to guarantee discharged water quality conforms to laws and regulations and does not cause pollution to the environment. There are multiple types of water quality inspection regulated by environment inspection department, and each type of inspection costs different times. Inspectors are dispatched to the same type of inspection, causing uneven workload. The research mainly discusses inspectors’ inspection of water samples of the plant and manufacturers, and work out the most average workload dispatching mode of inspectors under limiting conditions, aiming to reduce difference of personnel’s workload. Besides, it can get the effective resource utilization through sensitiveness analysis of parameters, for reference in dispatching decision.
In term of rationality and practicability of the research, taking Hsinchu Science Park’s waste water treatment laboratory as the object, it uses basic information and limiting conditions to set parameters, and utilizes integer programming method to construct a mathematical optimal modle, to input information into LINGO software through Microsoft Excel, to work out the optimal result of personnel dispatching. By comparing dispatching in the optimal mode and dispatching in general practical experience, it is found that the mode dispatching has higher efficiency and is more fair than artificial experience dispatching. The mode experience in the research can be applied to laboratory’s personnel shift arrangement of the waste water treatment plant after being verified and confirmed, which does not only enable decision makers to plan dispatching behaviors more effectively, but also simulate and plan influence of condition change in advance, so as to help to avoid impact to the company’s operation due to emergency situation. | en_US |