Incorporating human factors into decision support models for production and logistics: current state of research. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Grosse, Eric H.; Calzavara, Martina; Glock, Christoph H.; Sgarbossa, Fabio
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 6900
• Page End: 6905
• Publication Date: 2017-07
• Subjects: ergonomics -- human factors -- decision support models -- logistics -- production planning -- systematic literature review; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.1214
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Decision support models for production and logistics have neglected human factors to a large extent in the past. For this reason, researchers have called for the development of more realistic planning models for production and logistics problems incorporating human factors. This call has recently been addressed by an increasing number of innovative approaches, which makes the study of human factors in decision support models for production and logistics a more and more maturing research field. The aim of this paper is to present the evolution of works that incorporate human factors into decision support models for production and logistics. For this reason, a systematic literature review is performed. The results of the literature review reveal the current state of research and highlight areas and approaches where additional research is promising.