Modeling and Evaluation of Manufacturing Value Network

• Main Authors: Yu-Hua Lin, 林玉華
• Other Authors: Yuan-Jye Tseng
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/90394411414678672726

博士 === 元智大學 === 工業工程與管理學系 === 93 === The efficiency of manufacturing resources that cannot be fully manipulated due to confinement of organizational boundaries will become a bottleneck for business development. However, the organizational dominance among the members is significantly different, and suppliers may conceal disadvantageous information based on egoism. As a result, we are not capable of conducting a prior assessment of production costs, quality, or other factors. Grey System Theory is focused on implementation of the grey relational analysis and its model under an indefinite systemic model and incomplete information to discuss the system’s characteristics and behaviors. To prevent confusion or risks from occurring to the value chain partners due to information asymmetry, the Grey Prediction Model and Grey Relational Analysis in Grey decision making theory are therefore applied to achieve “shrink of information asymmetry”. With this approach, we can integrate production/manufacturing resources of up- and down-stream companies to attain a manufacturing distribution mechanism that will respond to market needs quickly for consolidation of the organizational production mobility. Therefore, this research is aimed to develop a Manufacturing Value Network Model to assist industries in implementing an integrated manufacturers’ business system. First of all, multi-cost for performance characteristic with integrated manufacturing-value chain will be considered, and the Grey Decision Making theory for assessment to standardize suppliers’ job assignment will be adopted. Secondly, focusing on sources allocation of manufacturing-value chain, the initial step of multi-plant productivity and technical selection will be undertaken. It means that in according to inspection items listed on the order request, tested samples will be assessed at respective factories, as well as with Grey Decision Making theory to assess related digital data in order to build up an effective manufacturing-value chain. Finally, aiming directly at selection of suppliers, all related analysis of decision criteria will be analyzed in order to obtain decision makers’ bias information toward each spared proposal, and to synthesize priority. And based on production equipment bearing and sustaining related matrix defined by processing distinctive features of products manufacturing, thereafter, measurement of Analytic hierarchy process (AHP) is undertaken to conduct an assessment criteria for suppliers’ job assignment. Results of this research are evident. It is able to assist industries in taking charge of suppliers’ selection and appropriate job assignment, and, in the long run, we evaluate performance of these suppliers with the Data Envelopment Analysis (DEA). Meantime, in effectively proceeding economic analysis of suppliers’ management, as well as in establishing an integrated business operating model based on manufacturing-value chain.