Parallel Genetic Algorithm for the Workforce Planning Problem

Abstract

Decision making associated with workforce planning results in difficult optimization problems, this is so it involves multiple levels of complexity. In fact, the workforce planning problem that we tackle in this chapter consists of two sets of decisions: selection and assignment. The first step selects a small set of employees from a large number of available workers and the second (decision) assigns this staff to the tasks to be performed. The objective is to minimize the costs associated to the human resources needed to fulfill the work requirements. An effective workforce plan is an essential tool to identify appropriate workload staffing levels and justify budget allocations so that organizations can meet their objectives.