Service System Design Considering Employee Satisfaction Through Introducing Service Robots - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Service System Design Considering Employee Satisfaction Through Introducing Service Robots

Tomomi Nonaka
  • Fonction : Auteur
  • PersonId : 1049506
Nobutada Fujii
  • Fonction : Auteur

Résumé

In this paper, we perform a basic analysis on employee satisfaction and production planning by introducing a service robot which delivers dishes in restaurant service. As an example of a service robot introduced in a Japanese restaurant, we focus on the pantry staff, kitchen staff, and customer service staff, as well as production planning that individual employees implicitly plan and update in their heads. The service robots are used to deliver the dishes prepared at the kitchen to the customer service floor, where the worker specifies the destination and transports the dishes while patroling the restaurant. By analyzing the productivity and employee satisfaction before and after the introduction of the service robots into the categories of serving, cooking area, and customer service, how employees can identify and coordinate work between humans and machines and change process design. From December 2019 to January 2020, an analysis was conducted based on the results of employee questionnaires and interviews conducted at a restaurant.
Fichier principal
Vignette du fichier
504014_1_En_79_Chapter.pdf (177.56 Ko) Télécharger le fichier
Origine : Accord explicite pour ce dépôt
Licence : CC BY - Paternité

Dates et versions

hal-03635637 , version 1 (20-06-2023)

Licence

Paternité

Identifiants

Citer

Tomomi Nonaka, Takeshi Shimmura, Nobutada Fujii. Service System Design Considering Employee Satisfaction Through Introducing Service Robots. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2020, Novi Sad, Serbia. pp.686-692, ⟨10.1007/978-3-030-57997-5_79⟩. ⟨hal-03635637⟩
37 Consultations
39 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More