MIM 2019 OPEN INVITED TRACK ON: Human factors in production and logistics systems of the future
28-30 August 2019
Fabio Sgarbossa (University of Padua, Italy) firstname.lastname@example.org
Daria Battini (University of Padua, Italy) email@example.com
Christoph H. Glock (Technische Universität Darmstadt, Germany) firstname.lastname@example.org
Eric H. Grosse (Technische Universität Darmstadt, Germany) email@example.com
W. Patrick Neumann (Ryerson University, Canada) firstname.lastname@example.org
Despite the opportunities the automatization of industrial and logistic systems offers, many companies still rely on human work in many areas. Most planning models that have been proposed in the past to support managerial decision making in industrial and logistic systems have neglected the specific characteristics of human workers, which often led to unrealistic planning outcomes or work schedules that may even be harmful to workers employed in the system. To guarantee a high level of productivity and efficiency and to make sure that decision support models reflect reality as much as possible, it is necessary to consider human factors (synonymous here with ergonomics) in designing industrial and logistic systems that are reliable, efficient, and safe workplaces. Even though recent research has started to integrate human factors issues into decision support models – for example by modelling learning effects or human energy expenditure – there still seems to be a large gap in the literature concerning the development of decision support models for industrial and logistic systems that take account of the interaction between the human worker and the design of the logistics system. The latter can, unlike the worker, be heavily influenced by the system designer.
Generally, human factors (perceptual, mental, physical and psychosocial aspects) determine the performance of industrial and logistic systems to a large extent if human operators are employed. This aspect becomes more challenging in light of demographic changes, which will likely put human factor-related issues in logistics – such as the risk of developing musculoskeletal disorders in labor-intensive work environments, for example – on top of the agendas in many companies. In addition, the consequences of using industry 4.0 technologies that assist operators in their manual work, such as augmented reality, adaptable workstations or cobots, are not yet fully understood in light of human performance and errors. This session aims at investigating the development of innovative approaches for the integration of human factors in system design to create human-centered production and logistics systems of the future.
Draft papers submission deadline: 15 December 2018
Notification of acceptance: 20 February 2019
Full papers submission deadline: 15 March 2019
Early registration deadline: 31 March 2019
Late registration deadline: 1st April 2019
Conference date: 28-30 August 2019