%0 Journal Article
%T An Integrated Structure for Supplier Selection and Configuration of Knowledge-Based Networks Using QFD, ANP, and Mixed-Integer Programming Model
%A M. Abbasi
%A R. Hosnavi
%A B. Tabrizi
%J Journal of Industrial Engineering
%D 2013
%I Hindawi Publishing Corporation
%R 10.1155/2013/407573
%X Today¡¯s competitive world conditions and shortened product life cycles have led to the rise of attention towards new product development issue which can guarantee both growth and survival of organizations. The agility of new product development is directed by the efficiency and efficacy of knowledge management skills of an organization. A key issue in thorough success of such networks is the developed knowledge preservation amongst the members. Thus, it is important that reliable relations can be established between the members in order to promote further interactions. To do so, an integrated framework is developed in this paper to configure the new product development network so that sustainable collaborations can be maintained amongst the entities. The proposed framework consists of the network configuration in addition to the supplier selection phase. They are taken into consideration using a biobjective mathematical model in which incurred costs and suppliers' superiority determine the final configuration of the network. Finally, different numerical instances are solved to address the applicability of the proposed model. 1. Introduction Over the last years, engineering and manufacturing companies have extensively concentrated on developing innovative and new products, improving their value and design for modern goods and supplies. The emergence and rise of consumer demands for novel products, shortened product life cycles, and contemporary technological developments have highlighted the demand for new and innovative products. The aforementioned issues make the organizations burdened with significant financial and opportunity losses if the development or launch of their new product is postponed. For instance, Kurawarwala and Matsuo [1] stated that a six-eight-month delay in the launch of products such as computers and cellular phones by a computer manufacturer results in a 50¨C75% loss in revenue. In a more recent study, McGrath and MacMillan [2] showed that a six-month delay in the introduction of the product would decrease the project¡¯s net present value by over $2 million, with all other parameters remaining constant. These stimuli make organizations increasingly pay attention to their new product development capabilities, increase efficiency, reduce development costs, and slash the overall cycle time. New product development (NPD) is an iterative process of gathering, creating, and evaluating information for developing new, defect-free, and quality products. The agility of NPD is governed by the efficiency of knowledge management skills and
%U http://www.hindawi.com/journals/jie/2013/407573/