Dissertation > Excellent graduate degree dissertation topics show

Study on Multiple Criteria Decision Making Methods Based on Collaboration Network Information

Author: FengBo
Tutor: FanZhiPing
School: Northeastern University
Course: Management Science and Engineering
Keywords: Collaboration network information problem structure model multiple criteria decision- making optimization model algorithm
CLC: C934
Type: PhD thesis
Year: 2009
Downloads: 331
Quote: 0
Read: Download Dissertation

Abstract

In the background of economic globalization and rapid development of information network technology, the collaboration networks within and among organizations (enterprises) develop rapidly. It becomes an inevitable trend. The cooperation relying on network organizations could achieve the opitimal configuration of science and technology resource, economic rescource and procuctivity factors. It is also one of the most effective means to put forword knowledge innovation. Furthermore, there are a lot of decision problems in the operation and management of collaboration networks, such as the construction and performance assessment of collaborative networks. The decision problem under collaboration network environment has been ranked as one of the most significant research issues by management science department of National Nature Science Foundation of China (NSFC) in the Eleventh Five-Year Plan (2006-2010) for management science and enginnering.Whithin a collaboration network, abundant collbaborative information produces due to the close interaction and cooperation among agents of the network. In a number of decision problems oriented to collaboration networks, not only the individual information asscociating with the agent of network commonly used in the existing decision-making methods, but also the collaborative information between a pairwise agents of network should be considered. We call this type of decision problem as the one based on collaboration information. It exists extensively in the real wold. Now, a number of schorlars have focused on the decision problem based on individual and collaborative information, namely collaboration network information. However, few studides are conducted to make decision using collaboration network information by scientific and effective decision-making methods. Therefore, it is a significant, necessary and urgent research issue to summarize the problem based on collaboration network information and propose the decision-making methodology according to a particular problem.The purpose of this thesis is to address the decision problem based on collaboration network information. With regard to the limitations in the existing research, a series of research works are conducted and the contributions are as follows:First, a new problem is presented and the theoretical framework for the research problem is proposed. The decision problem based on collaboration network information has extensive practical backgrounds. The study of this problem has profound theritical and pratical significanc. Thus, in this thesis, the decision problem with collagoration network information is presented based on the emerging problems. Moreover, the decision problems are divided into four categories, i.e., the problem of ranking and selecting agents of networks, the optimization deicision problem of selecting a sub-netwok from a parent network, the multiple criteria deicision problem of clinique selection, and the problem of performance evaluation of collaboration networks, and then each category problems are subdivided into several typical decision problems. Based on that, to solve the problem based on collaboration network information, the theoretical framework for the research problem is proposed, i.e.,ⅰ) The collaboration network and collaboration information are described and classified.ⅱ) The decision problem based on collaboration network information is described by network graph and is represented in the formalization, and then a structure model is preseted to character the general problem.ⅲ) A matrix model is proposed to analyze the decision problem based on collaboration network information. All of these works make the studies of the addressed problem to be theoretically systemic. Moreover, that provides a general theoretical guidance framework and analytical framework to the related problems and also lays a theoretical foundation to the extended issues and related applications.Second, with regard to the problem of ranking and selecting agents of networks, the multiple attribute decision making method for team member selection based on collaboration network information is proposed. Concretely, two type classical deicision problems are studied, and then two methods are proposed, i.e.,ⅰ) a method for member selection of codevelopment alliances based on collaboration network information, andⅱ) a method for member selection of program team based on collaboration network information.Third, with regard to the optimization deicision problem of selecting a sub-netwok from a parent network, the muti-objective decision-making method for team member selection based on collaboration network information is proposed. Concretely, three type problems are studied according to the research thought from the simple problem to the more complicated one, three methods are proposed as follows.ⅰ) A method for team member selection considering collaboration information, ii) A method for team member selection of R&D teams based on collaboration network information, iii) A method for team member selection of cross-funcational teams based on the individual and collaborative information.Fourth, with regard to the multiple criteria deicision problem of clinique selection, the decision-making method for excellent team selection based on collaboration network information is proposed. Concretely, a most representative problem, namely, the problem of found program selection of excellent innovation research group is studied. Then, a method for foud program selection of excellent innovation research group is proposed.Fifth, with regard to the problem of performance evaluation of collaboration networks, the method for evaluating team performance based on collaboration network information is proposed. Concretely, two type problems are studied according to the research thought from the simple problem to the more complicated one. Then, two methods are pososed, i.e.,ⅰ) a method for evaluating collaboration satisfaction of NPD teams using mutual-evaluation information, andⅱ) a method for mutual trust evaluation of virtual teams based on reputation and collaboration.The proposed method can solve many practicle problems. For instance, partner selection for cooperative R&D alliances, member selection for R&D teams, member selection for cross-functional teams, member selection for knowledge innovation teams, scientific fund project selection of innovation research groups, assessment on mutual trust of virtual teams, evaluation on collaborative satisfaction of NPD teams, and so on. The proposed mthods can further extend to solve other problems such as selecting technology combination alternative considering technology compatibility, configuring products considering component compatibility, sevice design based on sevice factors as well as product packge selection based on combinational utility and so on. The proposed methods in this thesis provide guidance and reference in methodology to futher studies on the decision problem with relative information.

Study on Multiple Criteria Decision Making Methods Based on Collaboration Network Information

Abstract

Related Dissertations