Dynamic Allocation of Additional Human Resources Using Hybrid Simulation

Abstract

This work simulated several alternatives for the dynamic allocation of additional human resources in a company that produces a group of specific products. The goal was to increase the average amount of the margin of the total contribution through a hybrid application of a discrete event simulation (DES) and an agent-based modelling simulation (ABMS). Two different decision-making forms were proposed to determine which workstation should receive an additional operator. The first proposal was based on the occupancy level of the operators, while the second one was based on the intermediate queue size. The computational model was operationally validated by comparing the results with actual production data from the company. Twelve scenarios were analysed using a margin of the established contribution. Based on the occupancy rate, the ratio improved on average by 27.68 %, with an additional operator in the workstation. According to the second criterion, this improvement raised to 117.51 %.

[Retracted] Enterprise Human Resource Optimization Algorithm Using PSO Model in Big Data and Complex Environment

“…There are some available decisions in each stage, and their immediate effects can be easily calculated [ 12 ]. Sena et al analyzed the main problems existing in the HR allocation of state-owned enterprises by discussing the internal and external conditions of HR allocation of state-owned enterprises [ 13 ]. Aiming at the problem that the actual scheduling process is constrained by multiple resources, Nadkarni and Stening established a dual-resource multiobjective scheduling model considering the differential operation efficiency [ 14 ].…”

Shock Transfer in Futures and Spot Markets: An Agent-Based Simulation Modelling Method

“…e agent-based modelling method, which is a hot topic and has been used in multiple fields and disciplines in recent years (see Li et al [30]; Li et al [31]; Sena et al [32]; Zhao et al [33]; Rupnik et al [34]; Fragapane et al [35]; and Yang et al [36]), provides us with an alternative approach. Agentbased modelling is a bottom-up approach with more realistic bottom settings and can produce much more stylized facts than theoretically oriented models.…”