Automatic guided vehicle system (AGVs) plays a vital role in material handling operations for a flexible manufacturing system (FMS).Optimum AGVs fleet size selection is one of the most sig-nificant decisions in effective design and control of automated material handling system. The fleet size estimation and optimization of AGVs requires an in-depth understanding of the various factors that AGVs in the FMS relies on. In this paper, an investigation for fleet size optimization of AGVs in different layouts of FMS by application of the analytical method and grey wolf optimization al-gorithm (GWO) is carried out. Layout design is one of the significant factors for optimization of AGV’s fleet size in any FMS. Results yield from analytical and grey wolf optimization algorithm are compared and validated for the different sizes of FMS layouts by computational experiments.

In the construction industry there are several problems that negatively impact the environment from the process of obtaining materials, the construction of buildings and their use. That is why the bibliographic review research analyzes the use and application of the hemp-based brick with the support of the Scopus database and the VOSviewer software as data analytics, the characteristics of the brick were taken into account as well As an air pollution purifier, humidity reduction and thermal insulation, graphs related to these characteristics were obtained, highlighting the words with the highest frequency in the research, countries that published and bibliometric maps worldwide. The results help us determine that there is an application of this brick in countries with the greatest needs and growth and also in potential countries, however we believe that in Peru there is no analysis or interest in this brick. This hemp-based brick has positive advantages for the environment and is potentially ecological from the beginning of obtaining the materials, used in the construction of houses and then as waste, in these three phases it contributes to the environment. The purpose of the research is to be the beginning for future investments and research related to the hemp-based brick applied in the construction industry and the other objective is to motivate professionals to use and apply this brick that will have benefits for the environment.

The purpose of the study is to improve the performance characteristics of powder pseudo-alloy materials using surface heat treatment. Such materials have unique properties, for example, self-lubrication under dry friction conditions, high thermal conductivity coefficient, and high electroerosion resistance. The disadvantage of powder pseudo-alloys is their relatively low strength. The paper considers the method of surface hardening by high-energy treatment - laser radiation. The paper describes the method of experimental research, describes the method of obtaining powder material, its chemical composition, shows the equipment used. The results of studies of the microstructure and microhardness of the surface layer of steel-copper powder pseudo-alloy after laser heat treatment (LHT) of a continuous-wave fiber laser with a maximum power of 1 kW are given, LHT modes are indicated, the influence of LHT parameters on the characteristics of the hardened layer is evaluated. It is revealed that the partial melting region in which melting occurs in the volumes of the fusible component (copper) in the initial structure and contacting segments of steel matrix is formed in the material in addition to the total melting zone. Then the quenching zone from the solid state follows, in which the maximal hardness up to 1000 HV is attained for best samples in the volume of martensite, which is formed in perlite colonies of the initial steel–copper material.

Lamotrigine (LMT), chemically known as [6-(2,3-dichlorophenyl)-1,2,4-triazine-3,5-diamine], is a broad spectrum antiepileptic drug, used as monotherapy and as an adjunct with other antiepileptic drugs for treatment of partial and generalized toxic-clonic seizures. It is used to treat neurological lesions and as a tranquilizer. A selective electrochemical membrane sensor has been developed and validated for determination of LMT. The membrane constructed using LMT and molybdophosphoric acid in THF and PVC is applicable for the detection of 5 × 10^-4 to 9 × 10^-3 M LMT in the pH range between 4.6 and 5.8 with the Nernstian slope of 57.14±1 mV/decade. The regression coefficient value of 0.9932 showed a good linear correlation between the concentrations of LMT and measured cell potentials. The limits of detection (LOD) and quantification (LOQ) values for the fabricated sensor were 1.3 × 10^-5 and 4 × 10^-5 M LMT, respectively. Various experimental conditions were optimized to reach the effective performance characteristics of the sensor. The effect of various cations, anions and organic species on the performance of sensor was studied by following standard-addition procedure. The results revealed no such variations due to presence of foreign ions or species. The fabricated sensor was subjected to validation to check accuracy, precision, robustness and ruggedness. The mean accuracy for determination of LMT was found to be 99.16%. The developed sensor was successfully used to determine LMT in tablets and in spiked human urine.

This bibliographical review allows us to know clearly and concisely the use and effectiveness of photocatalytic concrete applied to tracks or roads, and in buildings. This study analyzes sustainable concrete based on photocatalytic to reduce the environmental impact in large-scale works through the application for the collection and review of articles published in the scientific base of Scopus using the VOSviewer software tool that analyzes a large amount of data from a group of investigations, this research is carried out from the publications of the year 2000 to the year 2022. Graphs were obtained from the database analysis with the words “Concrete”, “Photocatalytic”, “Environmental” and “Work” with the highest interest in all analysis groups. The results obtained allow us to understand the innovation of concrete based on photocatalytic in order to reduce air pollution since this need is current throughout the world, more so in globalized and rapidly growing countries, the analysis in Peru is not found no research related to the subject and there are no large-scale works related to reducing air pollution, but there are proposals to improve air quality in Lima, the capital of Peru, however this contribution is minimal to be able to positively impact the air . The manufacturing process and the materials to implement for the manufacture of concrete based on the photocatalytic were also analyzed, visualizing the advantages and disadvantages of this concrete based on the photocatalytic, adding other additional components to improve the durability of the concrete application and being viable. to apply to large-scale works. This research has the purpose of presenting a general view of the application, manufacture, advantages and disadvantages of concrete based on photocatalytic, it is important to develop and apply it in large-scale works subsidized by the Peruvian state, since these can generate a positive impact on society and the environment.

The increasing phenomenon of the shadow economy is progressing dramatically in the absence of State culture among officials, whether legislators or implementers, in the absence or ineffectiveness of an organized production sector. Non-compliance with tax accounting procedures is one of the first problems generated by the shadow economy and most difficult not to include it in national output. The lack of tax commitment in the shadow economy leads to an annual tax gap of billions of dollars, if there is no logical interest on the part of the taxing bodies in developing countries, and if domestic and international tax provisions and legislation are not amended to consider of these important economic developments, and how to keep up with this. The issue of the shadow economy is thorny, and the practical way to raise the revenue needed to finance government spending on the goods and services required by society lies in the local and international tax treatment at the technical and legislative levels. Consequently, the current tax systems and their related regulations must be prepared, whether at the technical or legislative level, especially in light of the flow rate of oil barrels and the alternative if it comes into force. The taxation processes allow time to study the tax accounting and tax and take what suits the Saudi environment from them - lessons for the Kingdom of Saudi Arabia, Critical terms for research/shadow economy, tax regulations and systems, tax gab, tax accounting.

Nowadays, with the expansion of economic businesses and also the dependency of economic activ-ists on the insurance industry to provide the capitals security, there is now a growing need to identi-fy and evaluate risks of the insurance industry. Therefore, in this study, a comprehensive model was developed to evaluate and manage business risk by reviewing the research literature, extensive-ly. For this purpose, an adaptive neuro-fuzzy inference system (ANFIS) was developed for every business risk after identifying the relevant dimensions and the criteria and collecting the necessary data from the central insurance databases. Finally, a general model was presented to evaluate and manage risks of the insurance industry. Four major problems were also considered: optimal and ef-ficient normalization, optimal training for testing ratio for every neural network, model validation, and the easiness of user communication with the system. The results show that the model can pro-vide an accurate estimation for risk evaluation and management. Thus, this system can be consid-ered as an appropriate tool for business risk evaluation and management of insurance companies. Furthermore, the effectiveness of this method in evaluating and managing the risk at insurance companies can be turned into a neural network and such a neural network can be used as an appro-priate decision-making support tool.

In this research, acheiving submicrocrystalline structure in commercially pure Al is investigated using severe plastic deformation (SPD) method named constrained groove pressing (CGP). In order to find a procedure that acts more effective in grain refinement and mechanical properties enhancement, three experimental procedures were defined and carried out. The procedures were defined by variables of die groove angle (45° and 50°) and using Cu covering sheets at top and down of the specimens instead of rigid die surface as a lubricant. Grain refinement during CGP process was investigated by William-hall analysis on X-Ray diffraction pattern and scanning electron microscopy (SEM). The results show that CGP process in all three procedures can severely refine the microstructure to an ultra-fine grained (UFG) structure with less than 1 micron grain size. Although grain refinement rate in die with 50° groove angle is higher but because of facility of applying extra CGP passes in 45° groove angle die with covering sheets (procedure 2), final grain size in procedure B is lesser. Mechanical properties of CGPed samples was investigated by tensile and hardness tests and the results show that at primary passes in all procedures strength-related properties increases significantly through a decrease in elongation, but at subsequent passes this behaviuor is diffentent for each procedure.

Metal–organic frameworks (MOFs) are combinations of metal ions or clusters accommodated to organic ligands to shape different dimensional structures. MOFs are considered as a subclass of coordination polymers, with the possible characteristics that they are normally porous. The metals are considered to offer flexible, co-ordination environment under virtually various topologies. Besides, because of the usual liability of metal complexes, the shape of the coordination bonds between the metal ions and the organic linkers can be reversible and this helps the rearrangement of metal ions and organic linkers through the process of polymerization to give highly ordered framework structures. The study has indicated that MOFs has maintained extensive applications in Biological imaging and sensing, Drug delivery systems, Methane storage, Semiconductors, Bio-mimetic mineralization, Carbon capture, Desalination/ion separation, Water vapor capture and Ferroelectrics and Multiferroics. This paper presents a scientometrics study on 1273 papers published articles, books, patents, etc. indexed in Web of Science database over the period 2001-2019. The study presents the most popular keywords used in the literature, determines the network of scientific scholars and discusses the clusters of keywords used for different surveys. The results indicate that metalorganic frameworks and zeoitic imidazolate frameworks are two keywords considered as motor keywords in MOFs studies.

This paper aims at presenting an algorithm for solving the blocking flow shop problem with sequence dependent setup times (BFSP-SDST) with minimization of the makespan. In order to do so, we propose an adapted Bounded Dynamic Programming (BDP-SN) algorithm as solution method, since the problem itself does not present a significant number of sources in the state-of-art references and also because Dynamic Programming and its variants have been resurfacing in the flowshop literature. Therefore, we apply the modified method to two sets of problems and compare the results computationally and statistically for instances with a MILP and a B&B method for at most 20 jobs and 20 machines. The results show that BDP-SN is promising and outperforms both MILP and B&B within the established time limit. In addition, some suggestions are made in order to improve the method and employ it in parallel research regarding other branches of machine scheduling.