Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 Management and Production Engineering Review

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Heart rate variability based assessment of cognitive workload in smart operators

Digiesi Salvatore, Manghisi Vito M., Facchini Francesco, Klose Elisa M., Foglia Mario M., Mummolo Carlotta

Management and Production Engineering Review

2020

Vol. 11, No. 3

56--64

The study on cognitive workload is a field of research of high interest in the digital society. The implementation of ‘Industry 4.0’ paradigm asks the smart operators in the digital factory to accomplish more ‘cognitive-oriented’ than ‘physical-oriented’ tasks. The Authors propose an analytical model in the information theory framework to estimate the cognitive workload of operators. In the model, subjective and physiological measures are adopted to measure the work load. The former refers to NASA-TLX test expressing subjective perceived work load. The latter adopts Heart Rate Variability (HRV) of individuals as an objective indirect measure of the work load. Subjective and physiological measures have been obtained by experiments on a sample subjects. Subjects were asked to accomplish standardized tasks with different cognitive loads according to the ‘n-back’ test procedure defined in literature. Results obtained showed potentialities and limits of the analytical model proposed as well as of the experimental subjective and physiological measures adopted. Research findings pave the way for future developments.

Dry port as a lean and green strategy in a container terminal hub: a mathematical programming model

Digiesi Salvatore, Facchini Francesco, Mummolo Giovanni

Management and Production Engineering Review

2019

Vol. 10, No. 1

14--28

Maritime freight transport represents an effective solution, allowing to ensure a low-impact service both under an economic and a sustainable perspective. As a consequence, in the last ten years, an increasing trend of goods transported by sea has been observed. In order to improve the terminal containers’ performance, recently published scientific studies shown the applicability of the ‘lean logistic’ concept as a strategic key for ensuring a continuous improvement of the logistic chain for inter-/intra terminal containers’ activities. According to this approach, the adoption of a dry port can positively affect terminal containers’ performance, but this requires resources and investments due to inter-terminal activities (e.g. transport of the container from port to dry port and vice versa). The purpose of the study is to develop a mathematical programming optimization model to support the decision making in identifying the best containers’ handling strategy for intermodal facilities, according to lean and green perspectives. Numerical experiments shown the effectiveness of the model in identifying efficient material handling strategies under lean and green perspective.