| dc.description.abstract | It is an important topic for a policy maker to gain a biggest profit for company. Under such an keen business competition, he do need to realize how to utilizes the existing human resources to select cases and assign jobs properly in an effective way. In the past, policy-maker makes decisions in case choice and the work designation by subjective experience or intuition. Such kind of policy decisions is usually unable to make use of human resources effectively. Moreover, policy makers might make a strategic decision improperly.
Due to this reason, scope of this research is about how a middle and small scale project consultants to choose cases and assign jobs. Goal of this research is to develop an integer programming model. This model can assist the policy-maker to produce an optimal decision in case selection and job assignment under limits of manpower and work hours. Moreover, this causes company to obtain the greatest income. If external environment and constrained condition are changed, this research model will adjust its parameters according to the latest condition to produce a new combination of case-selection and job assignment. Furthermore, by the means of the sensitivity analysis, we may understand extent of how various parameters change has influence on the company profit. The policy-makers are able to adjust the correlation parameters such as human resources in accordance with the change tendency of parameters to meet the present situation. They even may examine the condition or consider to find another company as subcontractors to do partial work of this project.
As to the way of solution, a variety of parameters which are based on different cases, such as : work load of various labor items, duration of a project, working efficiency of workers , wages, work hours, will be as inputs of the LINGO 7.0 software. Optimal case-selection and job-assignment will be the output. In order to verify the applicability of this model, this study take one consultant as test, the test result of using this model compared with the result of traditional pattern which is simply based on personal experience is better. Therefore this research model can be useful and assist policy makers in selecting cases and assigning job to a proper person. | en_US |