This study aims to identify the factors that have an influence on the success of benchmarking projects, and finds that listed South Aftican manufacturing companies achieve a high degree of success with their benchmarking projects. The key success factors are a cost-benefit analysis and the formulation of an implementation plan during the planning stage of the process. Other factors include limitation of the scope and length of the project, an optimum number of four partners, the selection of partners of similar size and the inclusion of partners from other industries. It was also found that the compliance with a code of conduct by all the partners and the consideration of ethical and legal aspects
are essential elements of success.
Helbig, Marde; Engelbrecht, Andries P.(Association for Computing, 2014-01)
Algorithms that solve Dynamic Multi-Objective Optimisation Problems (DMOOPs) should be tested on benchmark functions to determine whether the algorithm can overcome specific difficulties that can occur in real-world problems. ...
Oldewage, E.T. (Elre); Engelbrecht, Andries P.; Cleghorn, Christopher Wesley(Springer, 2018-10)
This paper illustrates the importance of independent, component-wise stochastic scaling values, from both a theoretical and empirical perspective. It is shown that a swarm employing scalar stochasticity is unable to express ...
The particle swarm optimization (PSO) algorithm is a stochastic search technique based on the social dynamics of a flock of birds. It has been established that the performance of the PSO algorithm is sensitive to the values ...
