Algorithm and Simulation of Holonic Worker Selection Guide with Case Study on Task Urgency and Skill Rating

Abstract

This paper explicates the Worker Selection Guide (WOSEG), that is, a functional branch of Holonic Workforce Allocation Model (HWM). A case study is conducted on reckoning the task urgency and skill rating parameters in a job-shop setting, from which the workforce performance data are acquired. The destined performance measures encompass overdue rate, average skill level, interpersonal and intrapersonal skill deviations, which can be generated via computer simulation. The corresponding simulation model is built with the software of Witness, Visual Basic, and Microsoft Access for the input instruction coding and output analysis purposes.

Keywords: Holonic manufacturing, worker selection, algorithm, simulation