A few clarifications on the Technology-Organizations-People Tryptic

Ce document de synthèse présente et définit le terme socio-ergonomie, considéré comme un soutien sociologique, ontologique et méthodologique à l'intégration des systèmes humains (ISH). Il décrit l'évolution de l'ergonomie, des premières approches physiologiques aux sciences sociales contemporaines en passant par la psychologie, pour soutenir l'ingénierie des systèmes sociotechniques de l'industrie 4.0. Il présente une extension des niveaux de préparation technologique (TRL) aux niveaux de préparation organisationnelle (ORL) et un départ vers une approche socio-ergonomique qui inclut des propriétés systémiques telles que la flexibilité, la séparabilité et les faits sociaux émergents.This position paper introduces and coins the term socioergonomics, considered as a sociological, ontological and methodological support to human systems integration (HSI). It describes the evolution of ergonomics from early physiological to psychological to contemporary social sciences approaches supporting Industry 4.0 sociotechnical systems engineering. It presents a Technology Readiness Levels (TRLs) extension to Organizational Readiness Levels (ORLs) and a departure toward a socioergonomics approach that includes systemic properties such as flexibility, separability and emergent social facts

Optimized synthesis of cost-effective, controllable oil system architectures for turbofan engines

Turbofan oil systems are used to provide lubrication and cooling in the engine . There is an increasing interest in oil system architectures which utilize electric pumps and/or valves to give optimized control of flows to individual oil chambers, leading to improved thermal management of oil and lubrication efficiency. The challenges here lie in the trade-off between increasing controllability and minimizing the addition of new components, which adds unwanted production and maintenance costs. This paper formulates the oil system architecture design as a constrained, multiobjective optimization problem. An architecture is described using a graph with nodes representing components and edges representing interconnections between components. A fixed set of nodes called the architecture template is provided as an input and the edges are optimized for a multicriteria objective function. A heuristic method for determining similarities between the different oil chamber flow requirements is presented. This is used in the optimization to evaluate the controllability objective based on the structure of the valve architecture. The methodology provides benefits to system designers by selecting cheaper architectures with fewer valves when the need to control oil chambers separately is small. The effect of manipulating the cost/controllability criteria weightings is investigated to show the impact on the resulting architecture