Ayağ, Zeki2019-06-272019-06-272016400956-55151572-81450956-55151572-8145https://hdl.handle.net/20.500.12469/436A new product development (NPD) process can be thought as a comprehensive process in which the design is progressively detailed through a series of phases. At the end of each phase a design review is held to approve the design and release or not it to the next level. As one of these phases concept selection aiming to select the most appropriate concept for further development is conducted earlier in the process. As the further development progresses on a selected concept it becomes more difficult to make design changes in terms of cost and schedule dimensions and therefore selecting the best concept among a set of available alternatives has been an important issue for companies. On the other hand in the presence of many alternatives and selection criteria the selection problem becomes a multiple-criteria decision making concept selection problem. To solve this problem in this work an integrated approach bringing two popular methods together: the modified technique for order preference by similarity to ideal solution (TOPSIS) and the analytical network process (ANP). The ANP method is used to determine the relative weights of a set of quantitative and qualitative evaluation criteria as the modified TOPSIS method utilized to rank competing concept alternatives. In addition a real example is presented to demonstrate the effectiveness and applicability of the proposed approach for potential practitioners and readers.eninfo:eu-repo/semantics/closedAccessConcept selectionMultiple-criteria decision making (MCDM)Modified TOPSISAnalytic network process (ANP)Hot runner systemsArticle9911005527WOS:00038268240000610.1007/s10845-014-0930-72-s2.0-84901739697Q1Q1