scholarly journals An Expert System to Simplify the Management of Human Resources Mobility

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Abdoun Otman

In this paper, we interest to present an expert system to simplify the management the human resources mobility within a multi-sites enterprise. This expert system uses new methods to solve a complex problem of spatial mobility of Human resources witch is studied in works [01] and [02]. In this system, we incorporate algorithm based on bilateral permutation (transposition) algorithm, circular permutation algorithm and factious (virtual) post algorithm in order to simplify the management of Human resources mobility. The goal is improving the mobility rate, to reduce the number of operations, resulting in a significant reduction of computation time. We will apply this system on practical examples and the results obtained will be show the advantage of using it.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcilio Andrade ◽  
Dermeval Carinhana Jr

Purpose This purpose of this study is to structure complex problems to be solved with greater efficiency, optimising the relationship between root causes (RC) relevance of the problem and utilisation of human resources to treat them, minimising the use of manpower in problem-solving activity and thus contributing to greater productivity within organisations. Design/methodology/approach The authors built an approach under the concepts of theory of constraints and multiattribute and multiobjective decision-making methods that were applied in a real complex problem of the low development of Brazilian space industry, by theoretical perspective. Also, the authors submitted it in a simulation environment to assess in which situations it is successful considering number of problem’s RC, system complexity and number of people in the system. Findings The approach was successful on the real case, finding the optimal relationship between the RC relevance and the number of people involved to treat them. For certain complex problem inputs configurations, simulation results reveal that the approach is reliable obtaining more than 95% chance of success in finding the optimal relationship, when comparing with traditional prioritising methods. Originality/value This approach introduces an unprecedented way to locate and evaluate non-physical constraints within a system, which is used to determine RC relevance, as well as an unprecedented way of defining a single optimal solution for structuring a problem, considering the relevance of RC and the use of human resources. The approach is useful for organisations in general which often need managing complex problems with few resources.


2014 ◽  
Vol 54 (3) ◽  
pp. 197-204 ◽  
Author(s):  
Patrik Kutílek ◽  
Jan Hýbl ◽  
Jakub Mareš ◽  
Vladimír Socha ◽  
Pavel Smrčka

This paper describes new methods and systems designed for application in upper extremity prostheses. An artificial upper limb with this system is a robot arm controlled by EMG signals and a set of sensors. The new multi-sensor system is based on ultrasonic sensors, infrared sensors, Hall-effect sensors, a CO<sub>2</sub> sensor and a relative humidity sensor. The multi-sensor system is used to update a 3D map of objects in the robot’s environment, or it directly sends information about the environment to the control system of the myoelectric arm. Occupancy grid mapping is used to build a 3D map of the robot’s environment. The multi-sensor system can identify the distance of objects in 3D space, and the information from the system is used in a 3D map to identify potential collisions or a potentially dangerous environment, which could damage the prosthesis or the user. Information from the sensors and from the 3D map is evaluated using a fuzzy expert system. The control system of the myoelectric prosthetic arm can choose an adequate reaction on the basis of information from the fuzzy expert system. The systems and methods were designed and verified using MatLab/Simulink. They are aimed for use as assistive technology for disabled people.


2012 ◽  
Vol 601 ◽  
pp. 361-368
Author(s):  
Zong Xiao Yang ◽  
Tian Xiao ◽  
Lei Song ◽  
Guan Qiang Dong

Response and decision-making support in expressway emergency management and rescue greatly affects some key factors like emergency rescue plan, emergency duration time, effect range, economy and time loss. Experts system is a kind of intelligent program, using knowledge and reasoning to solve the complex problem that only experts can work out, it is a popular and efficient decision-support means, has some practical features that manual way cannot compare with and offers a modem scientific measure in incident management. Expert system can provide high-efficiency, rapid, exact and powerful assistance in decision support. In order to deal with various possible emergencies promptly and efficiently and therefore ensure the safety and unblocked state of the expressway, develop the expert system has become a trend of emergency rescue and management. In expert system,The knowledge representation is the key basic issues has the important influence to construction of the knowledge base and the reasoning of the expert system. So there has the practical significance to further research on knowledge representation of expressway accident management system, According to features of different knowledge, in exsiting expert systems different knowledge representation methods were adopted such as frame, production rule, procedure, first-order predicate logic, etc. This paper focus on the ontology’s application in the field of expressway emergency rescue and propose a expressway event managemnet expert system based on ontology and rule reasoning.


2004 ◽  
Vol 14 (03) ◽  
pp. 1129-1146 ◽  
Author(s):  
TOMOMICHI NAKAMURA ◽  
DEVIN KILMINSTER ◽  
KEVIN JUDD ◽  
ALISTAIR MEES

Constructing models of nonlinear time series is typically NP-hard. One of the difficulties is the local minima, and it is difficult to find a global best model. Some methods have already been proposed that attempt to find good models with reasonable computation time. In this paper we propose new methods that can compensate for a drawback of a method previously proposed by Judd and Mees. A standard approach to NP-hard problems is simulated annealing. We apply these methods to build models of annual sunspot numbers and a laser time series, and compare the results. The results indicate that the performance of the proposed method is comparable to that of simulated annealing in both time series. The performance of Judd and Mees method is almost the same as that of the other methods for the annual sunspot data, but not as good for laser time series. The Judd and Mees method is computationally the fastest of all the methods, and the proposed method is faster than simulated annealing.


2020 ◽  
Vol 67 (4) ◽  
pp. 1125-1139
Author(s):  
Sanela Ravlić ◽  
Jerko Glavaš ◽  
Željko Vojinović

The complexity of borders and border area in terms of European Union, cohesion policy, implementation of cross-border program 2007-2013 in urban and rural areas of Hungary and Croatia, monitoring the impact of invested funds and their comprehensiveness, the attitude of beneficiaries of infrastructural and human resources development projects are discussed in this paper. All in the light of given possibilities and untapped opportunities that can bring significant benefits to this area. The primary survey is conducted in the observed area after the implementation of all approved cross-border projects. Besides, available data sources and implemented research in the cross-border area of Hungary and Croatia are also discussed. The paper seeks to contribute to the discourse on the subject of monitoring the overall impact of the implemented activities in the cross-border area because there are no similar studies that comprehensively approach this complex problem for areas of cross-border cooperation in the European Union.


2021 ◽  
Author(s):  
Jozef Stašák ◽  
Eva Škorvagová

The contribution deals with qualitative and quantitative analysis of relationship between business processes performance to be investigated (hereinafter BP) versus performance of employees who are interested in that BP functionality hereinafter known as Employees). The qualitative analysis deals with human resources performance psychological aspects, while the quantitative analysis is closely related to BP and Employee performance quantification and modelling. On one hand, the qualitative analysis describes psychological aspects concerned to human resources and the investigated BP performance. On the other hand, the contribution deals with quantifying those relationships with use of linguistic sets, which create basis of business process linguistic modelling (BPLM) approach as well. The PBPL (Principle Business Process Linguistic) Equation is applied in order to create a conceptual model of the objective oriented expert system, which operates over the knowledge base, which contains adequate semantic networks (SNWs| and reference databases (RDBs), while an appropriate inference engine is applied for user communication with that expert system too.


1987 ◽  
Vol 15 (4) ◽  
pp. 261-275 ◽  
Author(s):  
K. Sarkar ◽  
Y. D. Kwon ◽  
D. C. Prevorsek

Abstract A new approach for the complete thermomechanical analysis of a pneumatic tire to estimate cyclic changes in the stresses and strains and obtain the pseudo-steady state temperature profile in a tire rolling under a load is described. The approach uses a commercially available finite element code and involves a simplified two-dimensional representation of the tire geometry to reduce computation time. The analysis includes three stages: inflation analysis, contact analysis, and temperature analysis. To handle the large deformations resulting from the inflation and contact loadings, the load is applied in small increments and a linearly elastic deformation is assumed in each increment. The structural and temperature analyses can be coupled through an iterative process to reflect the effect of temperature changes on material properties. Results obtained indicate that in spite of the simplifying assumptions made to reduce computation time, useful approximations to the solution of this complex problem can be obtained.


2016 ◽  
Vol 9 (3) ◽  
pp. 666-671
Author(s):  
Ryan G. Horn ◽  
Samuel E. Kaminsky ◽  
Tara S. Behrend

Chamorro-Premuzic, Winsborough, Sherman, and Hogan (2016) note that new talent signals recently adopted by organizations are related to older selection and assessment methods. Drawing this connection between old and new technologies is helpful; however, viewing new technology as either shiny new objects or a brave new world creates a false dichotomy. Recent technology-enhanced human resources (HR) processes like the widespread use of gamified practices and video-recorded interviewing are not just fads or the beginning of a transformation in HR but rather natural evolutions of methods that differ across specific dimensions that can be identified and measured. It is important to view these recent advances as extensions of the existing methods. That is, we need to focus onhowthese new methods are different and not onthatthey are different.


Author(s):  
Tkatek Said ◽  
Abdoun Otman ◽  
Abouchabaka Jaafar ◽  
Rafalia Najat

<span lang="EN-US">This paper presents an effective approach to optimize the reassignment of Human Resources in the enterprise that is formed by several units of productions to take into consideration the human characteristics. This approach consists of two steps; the first step is to formalize the studied problem that is practically take the form of the generalized assignment problem (GAP) known as NP-hard problem. Additionally, the variables in the formulation of our problem are interlinked by certain constraints. These two proprieties can to justify the important complexity of this problem. The second step is focused to solve this complex problem by using the genetic algorithm. We present the experimentally result for justifying the validity of the proposed approach. So, the solution obtained allowed us to get an optimal assignment of personnel that can lead to improve the average productivity or ratability or at least ensure its equilibration within sites of enterprise.</span>


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