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
| Autor: | Satish Tyagi, Kai Yang, Annu Tyagi, Suren N. Dwivedi |
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| Rok vydání: | 2011 |
| Předmět: |
Mathematical optimization
Concurrent engineering business.industry Computer science Gaussian Particle swarm optimization Function (mathematics) symbols.namesake Artificial Intelligence Control and Systems Engineering New product development symbols Probability distribution Electrical and Electronic Engineering Multi-swarm optimization business Lead time |
| Zdroj: | Engineering Applications of Artificial Intelligence. 24:866-879 |
| ISSN: | 0952-1976 |
| DOI: | 10.1016/j.engappai.2011.02.009 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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