Development of a fuzzy goal programming model for optimization of lead time and cost in an overlapped product development project using a Gaussian Adaptive Particle Swarm Optimization-based approach

Authors:
Satish K. Tyagi;Kai Yang;Annu Tyagi;Suren N. Dwivedi
Affiliations:
Department of Industrial and Systems Engineering, Wayne State University, Detroit, MI-48202, USA;Department of Industrial and Systems Engineering, Wayne State University, Detroit, MI-48202, USA;Lifetime Mobility's Private Limited, Thane, MH-400607, India;Department of Mechanical Engineering, University of Louisiana at Lafayette, Lafayette, LA-70504, USA
Venue:
Engineering Applications of Artificial Intelligence
Year:
2011

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Abstract

The aim of this paper is to present a model-based methodology to estimate the optimal amount of overlapping and communication policy with a view to minimizing product development lead time and cost. In the first step of methodology, the underlying two factors are considered in order to formulate mathematically a multi-objective function for a complete product development project. To add these objectives, incommensurate in nature, a fuzzy goal programming-based approach is adopted as the second step. In order to attain the optimal solution of formulated objective function, this paper introduces a novel approach, ''Gaussian Adaptive Particle Swarm Optimization'' (GA-PSO), which is embedded with two beneficial attributes: (1) Gaussian probability distribution, and (2) Time-Varying Acceleration Coefficients strategy. An illustrative hypothetical example of mobile phones is detailed to demonstrate the proposed model-based methodology. Experiments are performed on an underlying example, and computational results are reported to support the efficacy of the proposed model.