A mixed integer programming model for acquiring advanced engineering technologies
Computers and Industrial Engineering
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Acquiring advanced engineering technologies under conditions of performance improvement
Computers and Industrial Engineering
Integrating workers' differences into workforce planning
Computers and Industrial Engineering
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With the advent of government mandates to upgrade technologies which are owned by utilities but used by customers, utilities are pressurised into planning future workforce requirements. The smart meter rollout in Great Britain provides such an example. Previous models of workforce planning are numerous, but extensions for large-scale technology installation schemes have been paid less attention. This paper provides three contributions to the field: (i) a novel formulation of the aggregate planning model which accounts for learning rates of the workforce when executing a new task, (ii) an enhanced process of employing uncertainty analysis using Sobol sampling, and (iii) a numerical example supplying an illustrative instance of the modelling and uncertainty analysis in practice. The proposed modelling framework can be used as a tool to further the planning capabilities and strategic decision-making toolkits of the utility sector.