| dc.description.abstract | Due to resources limit, middle and small construction firms, unlike large construction ones, don’t have many professionals and complete information system to analyze cases . Especially, while other similar companies offer lower prices for competition, how to make use of the existing resources effectively, choosing cases, and appointing personnel have become the most important topic for middle and small construction firms.For small-scale infrastructure, time-limits for submission of tenders and the contracted progress schedule will not take too long. Thus, in order to get the best profit, it requires an easy and fast equipment to filter and choose from different cases.
This study comprehends choosing cases in a short period and staff appointment for middle and small construction firms. Under the structure of integer programming, build up an optimal decision model to assist managers to choose the best cases and make the biggest profit for company. When the exterior conditions and interior resources alter, this research model can modulate parameters, based on the latest conditions, to re-choose cases and interior personnel appointment. In methods of solving, this research stipulates parameters and restricted conditions based on every case’s fundamental information and interior and exterior restricted conditions, and input data, in EXCEL form, to LINGO8.0 software. Then, we get the choice of every case, and the outcome of optimal profit. Testing a construction firm in this model and contrasting the outcome with personal experience and policy, in addition to being efficient, the profit increases significantly. For managers, this research model can be eminent equipment for assisting policy making.
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