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.

Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management. The main purpose of Management and Production Engineering Review is to publish the results of cutting-edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed. We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials. Letters to the Editor-in-Chief are highly encouraged.

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.