Reengineering of design and manufacturing processes
Computers and Industrial Engineering
A predictive model of sequential iteration in engineering design
Management Science
Swarm intelligence
A discrete version of particle swarm optimization for flowshop scheduling problems
Computers and Operations Research
An improved particle swarm optimisation for solving generalised travelling salesman problem
International Journal of Computing Science and Mathematics
Relationships of swarm intelligence and artificial immune system
International Journal of Bio-Inspired Computation
Ant colony optimisation for vehicle traffic systems: applications and challenges
International Journal of Bio-Inspired Computation
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The design structure matrix (DSM) has received considerable attention in literature as a tool that provides a compact and clear representation of activities and the relationships among these activities in product development projects. As much of the time and cost of such projects is attributable to its iterative nature, determining the optimal sequence of project activities for efficient execution becomes a necessity. This paper presents a discrete particle swarm optimisation (DPSO) algorithm that determines the optimal sequence of activities execution within a product development or a design project that minimises project total iterative time. Algorithm performance was compared with published results and outperformed used methods. It was also used to minimise three other objective functions: iterative time/cost, number of feedbacks and total feedback length.