Rapid and never- ending improvement in technological aspects, change in customers needs, pressure of global competition, force the NPD teams to introduce new products to their markets as rapidly as possible. The formation of effective new product development (NPD) teams has played a crucial role in successful NPD projects.
We proposed a multi-objective team formation optimization model for NPD projects that considers the comprehensive capabilities and interpersonal relationships of all members. To address the member capabilities, an improved fuzzy Analytic Hierarchy Process based on fuzzy linguistic preference relations is applied to ensure the precision and consistency of the evaluation and overcome the drawbacks of the use of crisp values. Moreover, the Myers-Briggs Type Indicator (MBTI) is employed to model interpersonal relationships based on the personality groupings in the MBTI and to facilitate a numerical description of these relationships in the model. We used an exact and a meta heuristic procedure to solve the problem. The suggested exact method is fuzzy goal programming that uses a Membership function or Utility function to optimize each objective function. Genetic Algorithm ( GA ) is one of the Evolutionary Algorithms that is used to solve the proposed model. The results of compairing these two methods demonstrates that the programmed GA in MatLab has a better performance, both in terms of time and the answer quality.
Keywords: New product development(NPD), team formation, fuzzy AHP, MBTI test, fuzzy goal progamming
New Product developement ↑
Fuzzy Analytic Hierarchy Process ↑
Fuzzy Linguistic Preference Relations ↑
Myers-Briggs Type Indicator ↑
Conation ↑
Kolbe Conative Index ↑
Simple Additive Weighting approach ↑
Integrated Product Development ↑
Yager’s Weighted Goals Method ↑
Fuzzy Inference System ↑
Genetic Algorithm ↑
New Product Developement ↑
Mayers and Briggs Type Indicator ↑
Provider ↑
Supervisors ↑
Protectors ↑
Inspectors ↑
Promoter ↑
Performers ↑
Composer ↑
Crafter ↑
Fieldmarshal ↑
Inventor ↑
Mastermind ↑
Architect ↑
Champions ↑
Teachers ↑
Counselor ↑
Healer ↑
Multi-criteria Optimization ↑
Vector Optimization ↑
Multi-objective optimization problems (MOPS) ↑
.Conflict ↑
۲٫Satisfactory trade-off ↑
