During implementation of construction projects, durations of activities are affected by various factors. Because of this, both during the planning phase of the project as well as the construction phase, managers try to estimate, or predict, the length of any delays that may occur. Such estimates allow for the ability to take appropriate action in terms of planning and management during the execution of construction works. This paper presents the use of the non-deterministic concept for describing the uncertainty of estimating works duration. The concept uses the theory of fuzzy sets. The author describes a method for fuzzy estimations of construction works duration based on the fact that uncertain data is an inherent factor in the conditions of construction projects. An example application of the method is presented. The author shows a fuzzy estimation for the duration of an activity, taking into consideration the distorting influence caused by malfunctioning construction equipment and delivery delays of construction materials.

Simulation software can be used not only for checking the correctness of a particular design but also for finding rules which could be used

in majority of future designs. In the present work the recommendations for optimal distance between a side feeder and a casting wall were

formulated. The shrinkage problems with application of side feeders may arise from overheating of the moulding sand layer between

casting wall and the feeder in case the neck is too short as well as formation of a hot spot at the junction of the neck and the casting. A

large number of simulations using commercial software were carried out, in which the main independent variables were: the feeder’s neck

length, type and geometry of the feeder, as well as geometry and material of the casting. It was found that the shrinkage defects do not

appear for tubular castings, whereas for flat walled castings the neck length and the feeders’ geometry are important parameters to be set

properly in order to avoid the shrinkage defects. The rules for optimal lengths were found using the Rough Sets Theory approach,

separately for traditional and exothermic feeders.

The Decision Makers in the production organizations, which produce multiple different products

at the same time, set the priorities for what the organization desires to produce. This

priority is sorting the products in order to schedule the production based on these priorities.

The production organizations receive a huge number of orders from different customers, each

order contains many products with close delivery dates. The organization aims to produce

multiple different products at the same time, in order to satisfy all customers by delivering

all orders at the right time. This study will propose a method to prioritize the production

to produce a multiple different products at the same time, the production lines will produce

multiple different products. This method will prioritize the products using Multi Criteria

Decision Making technique, and prioritize the production operations using a new algorithm

called Algorithm for Prioritization of Production Operations. In addition, the study will provide

an algorithm for production scheduling using the production priority calculated based

on the proposed method. The study will also compare the scheduling based on the priority

rules and based on the proposed method through total production time and the variety of

products produced.

The report encompasses the activity of the Committee on Ethics in Science in the year 2017.

This article contributes to the growing literature on Art. 7 TEU by showcasing the strong and weak points of this provision in the context of the on-going rule of law backsliding in Hungary and Poland – backsliding which threatens the very fabric of EU constitutionalism. The article presents the general context of the EU’s institutional reactions to the so-called “reforms” in Poland and Hungary, which are aimed at hijacking the state machinery by the political parties in charge. Next it introduces the background of Art. 7 TEU and the hopes the provision was endowed with by its drafters before moving on to analysis of its scope and all the mechanisms made available through this instrument, including the key procedural rules governing their use. The author posits that it may be necessary to put our hopes in alternative instruments and policies to combat the current rule of law backsliding, and the article concludes by outlining three possible scenarios to reverse the backsliding, none of which are (necessarily) connected with Art. 7 as such.

The paper presents the results of assessment studies of the time course for technical wear in masonry buildings located in the area of mining-induced ground deformations. By using fuzzy inference system (FIS) and the “if-then” rule, corresponding language labels describing actual damage recorded in structure components were translated into scalar outputs describing the degree of damage to the building. Adopting this approach made it possible to separate damage resulting from additional effects coming from mining-induced ground deformations and the natural wear and tear of masonry structure. By using statistical analysis an exponential function for the condition of building damage and the function of natural wear and tear were developed. Both phenomena were subject to studies as a function of time regarding the technical age of building structure. The results obtained were used to develop a model for the course of technical wear of traditionally constructed buildings used within mining areas.

In the course of natural wear and tear buildings located in mining areas are additionally exposed to forced ground deformations. The increase of internal forces in structure components induced by those effects results in creating an additional stress factor and damage. The hairline cracks and cracks of building structure components take place when the intensity value of mining effects becomes higher than the component stress resistance and repeated effects result in the decrease of structure rigidity. The observations of building behaviour in mining areas show that the intensity of mining activity and the multiplicity of its effect play a substantial role in the course of technical wear of buildings. The studies show that the level of damage resulting from mining effects adds up to natural wear and tear of the building and impairs the global technical condition as compared to similar buildings used outside mining areas.

Groundwater quality modelling plays an important role in water resources management decision making processes. Accordingly, models must be developed to account for the uncertainty inherent in the modelling process, from the sample measurement stage through to the data interpretation stages. Artificial intelligence models, particularly fuzzy inference sys-tems (FIS), have been shown to be effective in groundwater quality evaluation for complex aquifers. In the current study, fuzzy set theory is applied to groundwater-quality related decision-making in an agricultural production context; the Mamdani, Sugeno, and Larsen fuzzy logic-based models (MFL, SFL, and LFL, respectively) are used to develop a series of new, generalized, rule-based fuzzy models for water quality evaluation using widely accepted irrigation indices and hydro-logical data from the Sarab Plain, Iran. Rather than drawing upon physiochemical groundwater quality parameters, the pre-sent research employs widely accepted agricultural indices (e.g., irrigation criteria) when developing the MFL, SFL and LFL groundwater quality models. These newly-developed models, generated significantly more consistent results than the United States Soil Laboratory (USSL) diagram, addressed the inherent uncertainty in threshold data, and were effective in assessing groundwater quality for agricultural uses. The SFL model is recommended as it outperforms both MFL and LFL in terms of accuracy when assessing groundwater quality using irrigation indices.

The size and complexity of decision problems in production systems and their impact on the economic results of companies make it

necessary to develop new methods of solving these problems. One of the latest methods of decision support is business rules management.

This approach can be used for the quantitative and qualitative decision, among them to production management. Our study has shown that

the concept of business rules BR can play at most a supporting role in manufacturing management, but alone cannot form a complete

solution for production management in foundries.

The application of the 5S methodology to warehouse management represents an important

step for all manufacturing companies, especially for managing products that consist of

a large number of components. Moreover, from a lean production point of view, inventory

management requires a reduction in inventory wastes in terms of costs, quantities and time

of non-added value tasks. Moving towards an Industry 4.0 environment, a deeper understanding

of data provided by production processes and supply chain operations is needed:

the application of Data Mining techniques can provide valuable support in such an objective.

In this context, a procedure aiming at reducing the number and the duration of picking

processes in an Automated Storage and Retrieval System. Association Rule Mining is applied

for reducing time wasted during the storage and retrieval activities of components

and finished products, pursuing the space and material management philosophy expressed

by the 5S methodology. The first step of the proposed procedure requires the evaluation

of the picking frequency for each component. Historical data are analyzed to extract the

association rules describing the sets of components frequently belonging to the same order.

Then, the allocation of items in the Automated Storage and Retrieval System is performed

considering (a) the association degree, i.e., the confidence of the rule, between the components

under analysis and (b) the spatial availability. The main contribution of this work is

the development of a versatile procedure for eliminating time waste in the picking processes

from an AS/RS. A real-life example of a manufacturing company is also presented to explain

the proposed procedure, as well as further research development worthy of investigation.

The goal of the article is the description and analyze of the exclusions of the maritime carrier’s liability, regulated in international conventions, known as the Hague-Visby Rules and the Hamburg Rules. Their construction is basically different and indicates, that their creators had quite the opposite approach in the way of regulation of the negative scope of maritime carrier’s liability.

In the article it has been compared each exclusion of liability in both conventions, especially with the consideration of the genuine differences with the carrier’s scope of liability. It has been analyzed the examples of the real cases, that have been ruled on the grounds of the maritime carrier’s liability. It has been also take a try to evaluate if the court’s sentence would be the same on the grounds of both conventions, or rather would be different.

The main topic of this article is retroactive application of procedural criminal law. In this text the question will be posed – and answered – whether the application of a new procedural provision that entered into force in the course of an ongoing proceeding should in that proceeding be considered as retroactive and in what scope or/and under what conditions can such retroactivity be allowed for. As will be shown the solutions in national jurisdictions differ according to the common law – continental law states divide. This problem will be discussed in the light of a decision in the ICC Ruto and Sang case. In this case the ICC Appeals Chamber had to answer several questions pertaining to the temporal application of new procedural provisions. Firstly, the Chamber had to decide whether a general ban on the retroactive application of substantive law should also apply to procedural criminal law. Secondly, the ICC Appeals Chamber had to analyze the criteria according to which it would evaluate whether the change of rules of criminal procedure in the course of an ongoing trial was to be considered as having a retroactive effect, and whether the change in the rules of admission of evidence could be considered detrimental to the accused. Thirdly, it will be shown that the ICC Appeals Chamber has chosen the common law concept of “due process rights” rather than the idea of “intertemporal rules” known from the continental doctrine, and why it chose to do so.

This article analyses the capacity of the African Charter on Democracy, Elections and Governance to counteract the democratic governance shortfall. It argues that the tangible impact of the treaty on the states’ practice has been limited by various endogenous and exogenous factors. The former are identified as directly linked to content of the document and refer to the accuracy of the drafting. The latter are rooted outside the text and beyond the character of the Charter and include issues relating to the states’ reluctance to ratify the document, certain constitutional constraints undermining implementation on the national level, and the weak international guarantees of enforcement.

The objective of this paper is to derive the characteristics of an effective governance framework ensuring incentives for conducting a prudent fiscal policy.We study this problem with the use of econometric tools and a sample of 28 European Union Member States between 2003 and 2017. By looking at specific reforms and measures, not only we verify the synthetic effectiveness of fiscal constraints but also we analyse specific elements of the governance framework.Our study shows that fiscal balances are affected not only by the economic cycle, but, among others, by the level of public debt and its cost. We find that the existence of numerical fiscal rules, in that specifically revenue and expenditures rules, their strong legal entrenchment, surveillance mechanisms, sanctions, and flexibility with respect to business cycle have a significant impact on curbing deficits.

Power big data contains a lot of information related to equipment fault. The analysis and processing of power big data can realize fault diagnosis. This study mainly analyzed the application of association rules in power big data processing. Firstly, the association rules and the Apriori algorithm were introduced. Then, aiming at the shortage of the Apriori algorithm, an IM-Apriori algorithm was designed, and a simulation experiment was carried out. The results showed that the IM-Apriori algorithm had a significant advantage over the Apriori algorithm in the running time. When the number of transactions was 100 000, the running of the IM-Apriori algorithm was 38.42% faster than that of the Apriori algorithm. The IM-Apriori algorithm was little affected by the value of supportmin. Compared with the Extreme Learning Machine (ELM), the IM-Apriori algorithm had better accuracy. The experimental results show the effectiveness of the IM-Apriori algorithm in fault diagnosis, and it can be further promoted and applied in power grid equipment.