Abstract
This paper looks as initial results of research into the validity of application of selected priority rules in the development of a levelled production plan. The development of a levelled production plan is the key stage of the authors' own methodology of levelling production to mitigate the adverse impact of variable demand. A levelled production plan permits to maximize effects, defined as being able to deliver diverse products in a timely manner and at the same time reduce stocks and optimize efficient use of manufacturing resources. Application of an appropriate priority rule in the development of a levelled production plan is the key factor determining the effectiveness of the developed methodology. Initial research has been conducted for twenty automatically generated task sets. One hundred manufacturing schedules have been developed in total-five schedules for each set, according to the selected priority rules (shortest task time, longest task time, shortest processing time, longest processing time, first in first out). The schedules have been assessed in terms of meeting the selected key criteria for the objectives of levelled production.

Abstract
Machine Learning (ML) progressed significantly in the last decade, evolving the computer-based learning/prediction paradigm to a much more effective class of models known as Deep learning (DL). Since then, hyperspectral data processing relying on DL approaches is getting more popular, competing with the traditional classification techniques. In this paper, a valid ML/DL-based works applied to hyperspectral data processing is reviewed in order to get an insight regarding the approaches available for the effective meaning extraction from this type of data. Next, a general DL-based methodology focusing on hyperspectral data processing to provide farmers and winemakers effective tools for earlier threat detection is proposed.

Abstract
The wine sector is one of the most economically important agro-food businesses. The wine market value is largely associated to terroir, in some cases resulting in highly expensive wines that attract fraudulent practices. The existent wine traceability system has some limitations that can be overcome with the development of new technological approaches that can tackle this problem with several means. This review aims to call attention to the problem and to present several strategies that can assure a more reliable and authentic wine system, identifying existent technologies developed for the sector, which can be incorporated into the current traceability system.

Abstract
One of the most important tasks for a mobile robot is to navigate in an environment. The path planning is required to design the trajectory that generates useful motions from the original to the desired position. There are several methodologies to perform the path planning. In this paper, a new method of approximate cells decomposition, called K-Framed Quadtrees is present, to which the algorithm A ? is applied to determine trajectories between two points. To validate the new approach, we made a comparative analysis between the present method, the grid decomposition, quadtree decomposition and framed quadtree decomposition. Results and implementation specifications of the four methods are presented. © 2018, Springer International Publishing AG.

Abstract

Abstract
This paper presents results of a study of the level of agreement of assessments and decisions made by quality controllers in a sensory inspection. The study subjects included persons with hearing disability. The study was conducted in an automotive manufacturing company. The employees with hearing loss perform product quality inspection which includes, among other things, visual inspection of the goods. The measurement system analysis (MSA) procedure for attributes, with the use of Gwet's AC(1) coefficient, was applied to estimate the level of agreement of decisions made by the raters. The study results show that the quality of work performed by employees with hearing disability is at least as good as that of able-bodied employees. Based on the knowledge possessed by the authors, this approach to the problem is characterized by novelty.