Traditional work models often need more flexibility and time autonomy for employees, especially in manufacturing. Quantitative approaches and Artificial Intelligence (AI) applications offer the potential to improve work design. However, current research does not entirely focus on human-centric...

Decentral production control plays a crucial role within the paradigm of Industry 4.0. Due to the fast and flexible decisions on allocation and sequencing required by this type of control, there is no baseline production schedule in advance. This creates a dilemma for efficient staff deployment...

The nurse-scheduling is a common problem in hospitals. The problem requires a timetable considering hospital regulations and nurses' demands and preferences. This study proposes an integrated Lexicographic goal programming and dynamic satisfaction function model for solving nurse-scheduling...

Einleitung -- Grundlagen der Personalplanung -- Überblick -- Kurz-, mittel- und langfristige Personalplanungen -- Diagnose-, Prognose-, Dezisions- und Simulationsmodelle der Personalplanung -- Ein- und Mehrzielmodelle der Personalplanung -- Heuristische und optimierende Ansätze der...

Problem definition. Motivated by the debate around drivers' welfare in on-demand transportation, we propose a framework to evaluate current practices and also possible alternatives. We study a setting in which riders seek drivers and a platform facilitates such matches over the course of the...

Weather affects the work of air traffic controllers, however, for staff scheduling in Remote Tower Centers (RTCs) it has not been taken into account. We study the impact of various weather phenomena on air traffic controller (ATCO) taskload through structured interviews with ATCOs. We deduce...

In transportation and logistic applications, scheduling hours of service for multiple, interdependent truck drivers to ensure compliance with regulatory resting requirements and service time windows is an extremely challenging task. Models previously designed to schedule truck drivers with...

This research proposed an optimization method using a solution technique based on two well-known techniques, differential evolution and particle swarm optimization, to tackle a multi-visit and multi-period workforce scheduling and routing problem in field service operation of a sugarcane mill...

The workforce scheduling problem is in general, the problem of determining how many workers must be assigned to each of the planning periods of work time for an organization. In this study the workforce scheduling problem is defined and its general characteristics are presented. The main focus...

"Strategic workforce planning (SWP)-the process of looking forward, assessing how to compete and win in your chosen market or business arena, and linking those insights to your existing and potential future workforce-is core to any institution that aspires to sustain itself over time. This...