scholarly journals APPLICATION OF ECONOMIC AND MATHEMATICAL METHODS TO MANAGE PROJECTS

2018 ◽  
pp. 253-257
Author(s):  
Tetiana Yakovenko ◽  
Anastasiia Pustovit
Keyword(s):  
Selection Criteria ◽  
Critical Parameters ◽  
Optimal Selection ◽  
Mathematical Methods ◽  
Work Factors ◽  
Proposed Model ◽  
Production Capacities ◽  
The Cost ◽  
Future Work ◽  
Selection Of

Introduction. The deadline for the planned works in the project is one of the critical parameters that are not mostly approached. In addition, non-compliance with the deadline usually leads to an increase in the cost of the project. It can be the failure in fulfilling another critical parameter of the projects. One of the reasons of this problem is the non-optimal appointment of job executors. Purpose. The article aims to develop an economics and mathematical model for optimal selection of project executors under uncertainty. Results. In order to achieve the goal of the work, factors, which influence its scheduled completion, existing models of executors’ optimal selection are analysed. The unsolved parts of the problem are identified. Executors’ selection criteria and significant limitations of the model are analysed. It has been concluded that one of the most critical factors is the uncertainty of the executors’ production capacities at the time of their carrying out (the number of free technics or workers who will be free and may be involved in future work). The proposed model allows choosing the optimal executors not only under the term’s criteria, but also under taking into account the total cost of the planned works. It can also be used by enterprises and organizations that involve a subcontractor to perform certain work.

scholarly journals Efficiency application of different technologies cultivation by crops

2019 ◽  
pp. 195-199
Author(s):  
Dnes, V. ◽  
Kudrynetskyi, R. ◽  
Krypuch, S. ◽  
Skibchyk, V.
Keyword(s):  
Crop Rotation ◽  
Crop Production ◽  
Economic Effect ◽  
Mathematical Methods ◽  
Strict Adherence ◽  
No Till ◽  
Cultivation Technology ◽  
Reducing Costs ◽  
The Cost ◽  
Selection Of

Purpose. Improving the efficiency of crop production by reducing costs through rational selection of cultivation technology. Methods. Monographic, statistical, economic and mathematical methods were used. Results. The results of the analysis of the preconditions and comparison of the economic efficiency of the application of different technologies for growing crops are presented. The cost structure for using different crop cultivation technologies for model farming (2700 ha) has been determined. The cost of growing winter wheat by various technologies is also calculated. Conclusions. The results of the calculations show that the use of No-till technology provides savings of almost 2 times compared to differentiated technology, with investments per hectare of sown area to be 8.84 thousand UAH. Achieving the highest economic effect is possible only in the case of strict adherence to crop rotation, timely complete implementation of technological operations. Keywords: system of crop rotation, yield, minimum, differentiated and No-till technology, economic effect.

scholarly journals Mixture of Experts with Entropic Regularization for Data Classification

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 190
Author(s):  
Billy Peralta ◽  
Ariel Saavedra ◽  
Luis Caro ◽  
Alvaro Soto
Keyword(s):  
Weather Forecasting ◽  
Complex Data ◽  
Mixture Of Experts ◽  
Proposed Model ◽  
Entropic Regularization ◽  
Winner Takes All ◽  
Multiple Experts ◽  
Gating Network ◽  
The Cost ◽  
Future Work

Today, there is growing interest in the automatic classification of a variety of tasks, such as weather forecasting, product recommendations, intrusion detection, and people recognition. “Mixture-of-experts” is a well-known classification technique; it is a probabilistic model consisting of local expert classifiers weighted by a gate network that is typically based on softmax functions, combined with learnable complex patterns in data. In this scheme, one data point is influenced by only one expert; as a result, the training process can be misguided in real datasets for which complex data need to be explained by multiple experts. In this work, we propose a variant of the regular mixture-of-experts model. In the proposed model, the cost classification is penalized by the Shannon entropy of the gating network in order to avoid a “winner-takes-all” output for the gating network. Experiments show the advantage of our approach using several real datasets, with improvements in mean accuracy of 3–6% in some datasets. In future work, we plan to embed feature selection into this model.

Optimal Selection of Korean Dramas for Commercial TV Stations in Taiwan by Using the AHP

2013 ◽  
Vol 5 (2) ◽  
pp. 14-24 ◽  
Author(s):  
Pi-Fang Hsu ◽  
Shu-Yu Lin ◽  
Chia-Wen Tsai
Keyword(s):  
Delphi Method ◽  
Optimal Selection ◽  
Analytic Hierarchy ◽  
Modified Delphi ◽  
Evaluative Criteria ◽  
Advertising Budget ◽  
Proposed Model ◽  
Hierarchy Process ◽  
Model Apply ◽  
Selection Of

This study develops a model for selecting Korean dramas based on TV station manager’s perceptions. First, the proposed model adopts the modified Delphi method to find out the suitable evaluative criteria of Korean dramas. Next, the model apply the analytic hierarchy process (AHP) to determine the relative weights of evaluative criteria, then ranks the alternatives and selects the best Korean dramas. Additionally, a famous Taiwanese commercial TV station is used here in as an example of how a Korean dramas can be selected using this model. The results indicated that concerns think highly of criteria in order are drama content perspective, cast perspective, advertising budget perspective, foreign data of origin perspective. The proposed model helps commercial TV to effectively select Korean dramas, making it highly applicable for academia and commerce.

Mathematical Methods in Planning Production Capacity as Exemplified by Enterprises of the Footwear Sector

2014 ◽  
Vol 718 ◽  
pp. 28-33
Author(s):  
Joanna Nowakowska-Grunt ◽  
Robert Sałek
Keyword(s):  
Comparative Analysis ◽  
Mathematical Models ◽  
Manufacturing Process ◽  
Production Capacity ◽  
Optimal Selection ◽  
Mathematical Methods ◽  
Definition Of ◽  
Multi Phase ◽  
Planning Production ◽  
Selection Of

Planning the production capacity is an intricate and multi-phase undertaking, which consequently leads to the optimal selection of the means and resources that are appropriate for a given enterprise. In this paper, the application of mathematical methods in the planning of production for an enterprise in the sector of SMEs has been presented, which implemented innovative technological solutions in the manufacturing process. Finally, comparative analysis was carried out on the basis of the mathematical models created, which facilitated the definition of the changes in the production possibilities both prior to and following the implementation of innovation.

scholarly journals Selection of Material Handling Equipment using the AHP and MOORA

2021 ◽  
Vol 22 (1) ◽  
pp. 113-124
Author(s):  
Sule I Satoglu ◽  
İbrahim Türkekul
Keyword(s):  
Selection Criteria ◽  
Material Handling ◽  
Selection Process ◽  
Industrial Sector ◽  
Ratio Analysis ◽  
Material Handling Equipment ◽  
Cost Criterion ◽  
The Cost ◽  
Hierarchy Process ◽  
Selection Of

Choosing the best Material Handling Equipment (MHE) is an aspect that needs to be considered in the industrial sector because the amount of capital involved in the procurement process is very large. Many substantial factors influence the MHE selection process. One popular approach was chosen to resolve the MHE selection issue. The concept of Multi-Criteria Decision Making (MCDM) is popularly used because it can solve and handle conflicting components in the MHE selection process. This study proposes the Analytical Hierarchy Process (AHP) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) procedures in MHE selection. AHP is proposed to weigh the MHE selection criteria. MOORA is proposed to compute the rankings of the MHE alternatives. Case studies are applied to this problem. The results show that the cost criterion gives the greatest weight in selecting MHE. Other than that, Of the five selected MHE alternatives, Hand Pallet Truck is the MHE that has the best rating.

Determination of the minimum number of technological bases of a part

2020 ◽  
pp. 73-75
Author(s):  
B.M. Bazrov ◽  
T.M. Gaynutdinov
Keyword(s):  
Cost Price ◽  
Labor Input ◽  
Part Surface ◽  
Technological Base ◽  
Size Accuracy ◽  
Minimum Number ◽  
The Cost ◽  
Input Cost ◽  
Selection Of

The selection of technological bases is considered before the choice of the type of billet and the development of the route of the technological process. A technique is proposed for selecting the minimum number of sets of technological bases according to the criterion of equality in the cost price of manufacturing the part according to the principle of unity and combination of bases at this stage. Keywords: part, surface, coordinating size, accuracy, design and technological base, labor input, cost price. [email protected]

Selection of one-dimensional sedimentation: models for on-line use

1995 ◽  
Vol 31 (2) ◽  
pp. 193-204 ◽  
Author(s):  
Koen Grijspeerdt ◽  
Peter Vanrolleghem ◽  
Willy Verstraete
Keyword(s):  
Steady State ◽  
Selection Criteria ◽  
Data Sets ◽  
Concentration Profiles ◽  
A Posteriori ◽  
One Dimensional ◽  
On Line ◽  
Dynamic Concentration ◽  
Selection Of ◽  
Modelling Task

A comparative study of several recently proposed one-dimensional sedimentation models has been made. This has been achieved by fitting these models to steady-state and dynamic concentration profiles obtained in a down-scaled secondary decanter. The models were evaluated with several a posteriori model selection criteria. Since the purpose of the modelling task is to do on-line simulations, the calculation time was used as one of the selection criteria. Finally, the practical identifiability of the models for the available data sets was also investigated. It could be concluded that the model of Takács et al. (1991) gave the most reliable results.

Bioluminescent proteins prediction with voting strategy.

2020 ◽  
Vol 15 ◽  
Author(s):  
Shulin Zhao ◽  
Ying Ju ◽  
Xiucai Ye ◽  
Jun Zhang ◽  
Shuguang Han
Keyword(s):  
Amino Acid ◽  
Model Building ◽  
Prediction Method ◽  
Pair Composition ◽  
Proposed Model ◽  
Counting Rules ◽  
Significant Phenomenon ◽  
Voting Strategy ◽  
Improved Accuracy ◽  
Selection Of

Background: Bioluminescence is a unique and significant phenomenon in nature. Bioluminescence is important for the lifecycle of some organisms and is valuable in biomedical research, including for gene expression analysis and bioluminescence imaging technology.In recent years, researchers have identified a number of methods for predicting bioluminescent proteins (BLPs), which have increased in accuracy, but could be further improved. Method: In this paper, we propose a new bioluminescent proteins prediction method based on a voting algorithm. We used four methods of feature extraction based on the amino acid sequence. We extracted 314 dimensional features in total from amino acid composition, physicochemical properties and k-spacer amino acid pair composition. In order to obtain the highest MCC value to establish the optimal prediction model, then used a voting algorithm to build the model.To create the best performing model, we discuss the selection of base classifiers and vote counting rules. Results: Our proposed model achieved 93.4% accuracy, 93.4% sensitivity and 91.7% specificity in the test set, which was better than any other method. We also improved a previous prediction of bioluminescent proteins in three lineages using our model building method, resulting in greatly improved accuracy.

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