Optimal Ordering of Activities of New Product Development Projects with Time and Cost Considerations

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Author(s): Hisham M. Abdelsalam (Cairo University, Egypt)and Amany Magdy (Cairo University, Egypt)
Copyright: 2013
Pages: 18
Source title: Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
Source Author(s)/Editor(s): Pandian M. Vasant (Petronas University of Technology, Malaysia)
DOI: 10.4018/978-1-4666-2086-5.ch018

Keywords: Algorithms / Artificial Intelligence / Computer Science & IT / Information Science Reference

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Abstract

This chapter presents a Discrete Multi-objective Particle Swarm Optimization (MOPSO) algorithm that determines the optimal order of activities execution within a design project that minimizes project total iterative time and cost. Numerical Design Structure Matrix (DSM) was used to model project activities’ execution order along with their interactions providing a base for calculating the objective functions. Algorithm performance was tested on a hypothetical project data and results showed its ability to reach Pareto fronts on different sets of objective functions.

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Optimal Ordering of Activities of New Product Development Projects with Time and Cost Considerations

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