Egidio D’Amato, Elia Daniele, Lina Mallozzi and Giovanni Petrone
The purpose of this paper is to propose a numerical algorithm able to describe the Stackelberg strategy for a multi level hierarchical three-person game via genetic algorithm (GA…
Abstract
Purpose
The purpose of this paper is to propose a numerical algorithm able to describe the Stackelberg strategy for a multi level hierarchical three-person game via genetic algorithm (GA) evolution process. There is only one player for each hierarchical level: there is an upper level leader (player L0), an intermediate level leader (player L1) who acts as a follower for L0 and as a leader for the lower level player (player F) that is the sole actual follower of this situation.
Design/methodology/approach
The paper presents a computational result via GA approach. The idea of the Stackelberg-GA is to bring together GAs and Stackelberg strategy in order to process a GA to build the Stackelberg strategy. Any player acting as a follower makes his decision at each step of the evolutionary process, playing a simple optimization problem whose solution is supposed to be unique.
Findings
A GA procedure to compute the Stackelberg equilibrium of the three-level hierarchical problem is given. An application to a Authority-Provider-User (APU) model in the context of wireless networks is discussed. The algorithm convergence is illustrated by means of some test cases.
Research limitations/implications
The solution to each level of hierarchy is supposed to be unique.
Originality/value
The paper demonstrates the possibility of using computational procedures based on GAs in hierarchical three level decision problems extending previous results obtained in the classical two level case.
Details
Keywords
Chiara Carnazzo, Stefania Spada, Sebastiano Lamacchia, Federico Manuri, Andrea Sanna and Maria Pia Cavatorta
Preventive ergonomics is essential to protecting the health and safety of workers as is recognizing human variability. The purpose of this paper is to describe a Unity-based…
Abstract
Purpose
Preventive ergonomics is essential to protecting the health and safety of workers as is recognizing human variability. The purpose of this paper is to describe a Unity-based application designed for three-dimensional postural analysis and visualizations using motion capture data. Integration with virtual reality (VR) technologies allows the user to be immersed in the simulated working environment without the need for a physical prototype. The proposed application aims to facilitate the application of ergonomic principles in workplace design and assessment for a proactive, participatory and inclusive approach to worker well-being.
Design/methodology/approach
The authors developed an application that leverages motion capturing techniques and VR technologies and aims to support the analysts in the ergonomic assessment of physical prototypes as well as future workplaces. An innovative postural prediction module helps the analyst understanding what postures different users are likely to assume in the interaction with the workplace from a single data record.
Findings
The functionalities of the proposed application are illustrated on some case studies, presenting how different information is made available and can support workplace analysts and designers in an industrial context.
Originality/value
This paper provides insights into the experience and research carried out by an automotive company in the application of wearable sensors and VR to support a proactive and participatory approach to workplace ergonomics.