Multi-objective team formation optimization for new product development

نویسندگان

  • Lianying Zhang
  • Xiang Zhang
چکیده

The formation of effective new product development (NPD) teams has played a crucial role in successful NPD projects. We propose 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 proposed model. Finally, a real world example is provided to illustrate application of the model, and the Multi-objective Particle Swarm Optimization (MOPSO) algorithm is implemented to search for Pareto solutions that represent the alternatives for optimal team composition. The results suggest that the proposed optimization model is both effective and practical. 2013 Elsevier Ltd. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization

Mathematical programming and artificial intelligence (AI) methods are known as the most effective and applicable procedures to form manufacturing cells in designing a cellular manufacturing system (CMS). In this paper, a bi-objective programming model is presented to consider the cell formation problem that is solved by a proposed multi-objective particle swarm optimization (MOPSO). The model c...

متن کامل

Multi-objective optimization approach for cost management during product design at the conceptual phase

The effective cost management during the conceptual design phase of a product is essential to develop a product with minimum cost and desired quality. The integration of the methodologies of quality function deployment (QFD), value engineering (VE) and target costing (TC) could be applied to the continuous improvement of any product during product development. To optimize customer satisfaction ...

متن کامل

An improved particle swarm optimization with a new swap operator for team formation problem

Formation of effective teams of experts has played a crucial role in successful projects especially in social networks. In this paper, a new particle swarm optimization (PSO) algorithm is proposed for solving a team formation optimization problem by minimizing the communication cost among experts. The proposed algorithm is called by improved particle optimization with new swap operator (IPSONSO...

متن کامل

A New Multi-Objective Model for Dynamic Cell Formation Problem with Fuzzy Parameters

This paper proposes a comprehensive, multi-objective, mixed-integer, nonlinear programming (MINLP) model for a cell formation problem (CFP) under fuzzy and dynamic conditions aiming at: (1) minimizing the total cost which consists of the costs of intercellular movements and subcontracting parts as well as the cost of purchasing, operation, maintenance and reconfiguration of machines, (2) maximi...

متن کامل

Pareto Optimization of a Two-degree of Freedom Passive Linear Suspension Using a New Multi-objective Genetic Algorithm (TECHNICAL NOTE)

The primary function of a suspension system of a vehicle is to isolate the road excitations experienced by the tires from being transmitted to the passengers. In this paper, we formulate an optimal vehicle suspension design problem with the quarter-car vehicle dynamic model. A new multi-objective genetic algorithm is used for Pareto optimization of a two-degree of freedom vehicle vibration mode...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Computers & Industrial Engineering

دوره 64  شماره 

صفحات  -

تاریخ انتشار 2013