Expert system application for prioritizing preventive actions for shift work: shift expert.
Int J Occup Saf Ergon
; 25(1): 123-137, 2019 Mar.
Article
em En
| MEDLINE
| ID: mdl-28675084
ABSTRACT
INTRODUCTION:
Shift patterns, work hours, work arrangements and worker motivations have increasingly become key factors for job performance. The main objective of this article is to design an expert system that identifies the negative effects of shift work and prioritizes mitigation efforts according to their importance in preventing these negative effects. The proposed expert system will be referred to as the shift expert.METHODS:
A thorough literature review is conducted to determine the effects of shift work on workers. Our work indicates that shift work is linked to demographic variables, sleepiness and fatigue, health and well-being, and social and domestic conditions. These parameters constitute the sections of a questionnaire designed to focus on 26 important issues related to shift work. The shift expert is then constructed to provide prevention advice at the individual and organizational levels, and it prioritizes this advice using a fuzzy analytic hierarchy process model, which considers comparison matrices provided by users during the prioritization process. An empirical study of 61 workers working on three rotating shifts is performed. After administering the questionnaires, the collected data are analyzed statistically, and then the shift expert produces individual and organizational recommendations for these workers.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Tolerância ao Trabalho Programado
/
Sistemas Inteligentes
/
Saúde Ocupacional
/
Transtornos do Sono do Ritmo Circadiano
Tipo de estudo:
Prognostic_studies
Aspecto:
Determinantes_sociais_saude
Limite:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
País/Região como assunto:
Asia
Idioma:
En
Revista:
Int J Occup Saf Ergon
Assunto da revista:
MEDICINA OCUPACIONAL
/
PSICOLOGIA
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Turquia