Study On The Forecast Models For Estimating Project Operating Costs

• Main Authors: CHANG,YEN-JUI, 張晏瑞
• Other Authors: HSU,YU-MING
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/43018121114768613721

碩士 === 中華大學 === 營建管理學系碩士班 === 98 === Following the announcement of Government Procurement Law on May 27, 1999, whenever government organizations need the procurement of technical services from outside sources, they have to select the best qualified vendor for price negotiation through an open and objective selection process in restricted tendering, thus price is no longer the only consideration. Under the current practices of domestic construction industry, it is very difficult to get a real grasp on the time, money, and manpower that are actually input into an architectural project; hence its operating efficiency and productivity cannot be objectively assessed. Since the market for domestic construction projects has very much saturated, and the business volume has declined noticeably among architectural firms. Currently handled cases are more refined, requiring more attention to details. The architecture market competition is even more intense, and many architectural firms are forced to cut down on design costs in order to attract more design business. Therefore, production efficiency and labor allocation are becoming increasingly important for architectural firms, as they would affect their productivity and service quality. At present, human resources planning and development are only superficial topics in most architectural firm, as they only evaluate the empirical factors of personnel in the quantifiable evaluation process, but lacking the systematic evaluation standards, and other consideration factors such as complicity of work and environmental issues. This research aims on the operation cost evaluation in order to analyze the background factors of operation personnel in relation to the project evaluation, and to analysis related factors such as performance time, efficiency, capacity and operating costs that will affect the operating efficiency.