scholarly journals Optimisation of the rational proportion of intelligent technologies application in service organisations

Organizacija ◽  
2021 ◽  
Vol 54 (2) ◽  
pp. 162-177
Author(s):  
Anton Ivaschenko ◽  
Alfiya R. Diyazitdinova ◽  
Tatiyana Nikiforova

Abstract Background and Purpose: The growing role and involvement of Artificial Intelligence in modern digital enterprises leads to a considerable reduction of personnel and reorientation of the remaining staff to new responsibilities. However, in many areas like services and support the total elimination of the employed human resources still remains impossible. It is proposed to study the organisational problem of finding the optimal proportion of computer agents and human actors in the mixed collaborative environment. Methods: Using the technology of semantic and statistical analysis, we developed an original model of computer agents’ and human actors’ cooperative interaction and an optimization method, which is novel in considering the focus of the executors while calculating the compliance indicators. Results: The problem was studied by an example of service desk automation. Considering the semantics of the problem domain in the form of ontology introduces the logic for better distribution and automation of tasks. Conclusion: In a modern digital enterprise there exists and can be estimated a rational balance between the computer agents and human actors, which becomes a significant indicator of its performance. In general, human actors are preferable for processing unpredictable events in real time, while agents are better at the modelling and simulation.

Symmetry ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1175 ◽  
Author(s):  
Urbaniak ◽  
Kardas-Cinal ◽  
Jacyna

In the article, possible ways of using energy recovered during regenerative braking of trains are presented. It is pointed out that the return of recovered electricity directly to the catenary and its use in the energy cooperation of vehicles can be a no-cost method (without additional infrastructure). The method of energy cooperation between trains and its main assumptions, that uses the law of conservation of energy, are described in detail. An original model is proposed which assumes optimization by controlling the train arrival time at the station within the technical time reserve. Optimization method was used metaheuristic and adapted swarm algorithm called the firefly algorithm. An exemplary simulation of the energy cooperation of trains for selected stops of a double-track railway line of the Tricity Rapid Urban Railway has been done and the obtained results are presented. Finally, in discussion and conclusions, the results were summarized and the significance of the development of the discussed method for transport rationalization was presented.


2011 ◽  
Vol 421 ◽  
pp. 759-763 ◽  
Author(s):  
Tian Zhong Sui ◽  
Lei Wang ◽  
Zhen Tan ◽  
Pei Chao Jia

With a view to the whole digging process, a multi-objective optimization model based on digging process is established. Applying the mind of system theory and complex optimization method, taking model P&H2800XP excavator for example, the structure parameter optimization of its working device is accomplished. The rational parameters obtained from this. Comparing with an original model, optimized results are ideal comparatively and the performance is improved.


Author(s):  
Chihsiung Lo ◽  
Panos Y. Papalambros

Abstract A new design optimization method is described for finding global solutions of models with a nonconvex objective function and nonlinear constraints. All functions are assumed to be generalized polynomials. By introducing new variables, the original model is transformed into one with a linear objective function, one convex and one reversed convex constraint. A two-phase algorithm that includes global feasible searches and local optimal searches is used for globally optimizing the transformed model. Several examples illustrate the method.


1996 ◽  
Vol 118 (1) ◽  
pp. 75-81 ◽  
Author(s):  
Chihsiung Lo ◽  
P. Y. Papalambros

A new design optimization method is described for finding global solutions of models with a nonconvex objective function and nonlinear constraints. All functions are assumed to be generalized polynomials. By introducing new variables, the original model is transformed into one with a linear objective function, one convex and one reversed convex constraint. A two-phase algorithm that includes global feasible search and local optimal search is used for globally optimizing the transformed model. Several examples illustrate the method.


2006 ◽  
Vol 20 (25n27) ◽  
pp. 4099-4104 ◽  
Author(s):  
YOUNG-SHIN LEE ◽  
HYUN-SEUNG LEE ◽  
YOUNG-JIN CHOI ◽  
SEONG-WOO BYUN ◽  
WEOL-TAE KIM

A LCD glass plate is supported by multi-pins and golf-tee type support. In the FEM analysis, the support condition is treated as a simply supported boundary condition. In this study, the optimization on the location of multi-simply support is conducted. The size optimization method of ANSYS 8.0 is used as the optimization tool to search for the optimal support location of LCD glass plate. In the manufacturing process, the support condition is a fatal factor of quality control of LCD production. From the results of optimization, deflection decreases 51% compared with the original model.


Author(s):  
B. Jouffrey ◽  
D. Dorignac ◽  
A. Bourret

Since the early works on GP zones and the model independently proposed by Preston and Guinier on the first steps of precipitation in supersaturated solid solution of aluminium containing a few percent of copper, many works have been performed to understand the structure of different stages in the sequence of precipitation.The scheme which is generally admitted can be drawn from a work by Phillips.In their original model Guinier and Preston analysed a GP zone as composed of a single (100) copperrich plane surrounded by aluminum atomic planes with a slightly shorter distance from the original plane than in the solid solution.From X-ray measurements it has also been shown that GP1 zones were not only copper monolayer zones. They could be up to a few atomic planes thick. Different models were proposed by Guinier, Gerold, Toman. Using synchrotron radiation, proposals have been recently made.


CICTP 2019 ◽  
2019 ◽  
Author(s):  
Yuchen Wang ◽  
Tao Lu ◽  
Hongxing Zhao ◽  
Zhiying Bao
Keyword(s):  

Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory


TAPPI Journal ◽  
2015 ◽  
Vol 14 (2) ◽  
pp. 119-129 ◽  
Author(s):  
VILJAMI MAAKALA ◽  
PASI MIIKKULAINEN

Capacities of the largest new recovery boilers are steadily rising, and there is every reason to expect this trend to continue. However, the furnace designs for these large boilers have not been optimized and, in general, are based on semiheuristic rules and experience with smaller boilers. We present a multiobjective optimization code suitable for diverse optimization tasks and use it to dimension a high-capacity recovery boiler furnace. The objective was to find the furnace dimensions (width, depth, and height) that optimize eight performance criteria while satisfying additional inequality constraints. The optimization procedure was carried out in a fully automatic manner by means of the code, which is based on a genetic algorithm optimization method and a radial basis function network surrogate model. The code was coupled with a recovery boiler furnace computational fluid dynamics model that was used to obtain performance information on the individual furnace designs considered. The optimization code found numerous furnace geometries that deliver better performance than the base design, which was taken as a starting point. We propose one of these as a better design for the high-capacity recovery boiler. In particular, the proposed design reduces the number of liquor particles landing on the walls by 37%, the average carbon monoxide (CO) content at nose level by 81%, and the regions of high CO content at nose level by 78% from the values obtained with the base design. We show that optimizing the furnace design can significantly improve recovery boiler performance.


2019 ◽  
Vol 49 (1) ◽  
pp. 90-104
Author(s):  
Robert Kiely

A world-ecological perspective of cultural production refuses a dualist conception of nature and society – which imagines nature as an external site of static outputs  – and instead foregrounds the fact that human and extra-human natures are completely intertwined. This essay seeks to reinterpret the satirical writing of a canonical figure within the Irish literary tradition, Brian O'Nolan, in light of the energy history of Ireland, understood as co-produced by both human actors and biophysical nature. How does the energy imaginary of O'Nolan's work refract and mediate the Irish environment and the socio-ecological relations shaping the fuel supply-chains that power the Irish energy regime dominant under the Irish Free State? I discuss the relationship between peat as fuel and Brian O'Nolan's pseudonymous newspaper columns, and indicate how questions about energy regimes and ecology can lead us to read his Irish language novel An Béal Bocht [The Poor Mouth] (1941) in a new light. The moments I select and analyze from O'Nolan's output feature a kind of satire that exposes the folly of separating society from nature, by presenting an exaggerated form of the myth of nature as an infinite resource.


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