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1

Approach to Performance Rating of Retroreflective Textile Material Considering Production Technology and Reflector Size

Glombikova Viera, Komarkova Petra, Vik Michal, Adamcova Jaroslava, Nemcokova Renata, Vikova Martina, Havelka Antonin

Autex Research Journal

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2022

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Vol. 22, no. 4

446--457

EN

The study investigates retroreflective fabrics’ efficiency from the point of view of the interaction of their visibility, thermo-physiological comfort properties, and durability (represented by physical-mechanical performance). The effect of the combination of two production technologies (reflective transfer films and screen printing method) and two reflector covering sizes (25% and 85%) was examined. Technique for order of preference by similarity to ideal solution (TOPSIS) method was used to determine the best solution considering the abovementioned tested categories of properties. Retroreflective performance was in congruence with the used design coverage factor of the tested pattern. It was found that retroreflection of the tested pattern produced using screen printing technology was significantly lower than retroreflection of an identical pattern made by a transfer film. On the contrary, in terms of thermo-physiological comfort and physical-mechanical performance of the tested samples, screen printing technology shows significantly better results in almost all tested properties, especially in water vapor permeability, moisture management, and physical-mechanical performance. The solution for the abovementioned contradictory results can be achieved by using a combination of the advantages associated with each of these technology methods. Screen printing can be applied to specific regions of clothing that are exposed to extreme loading or sweating, and the transfer of film elements ensures high visibility with respect to the standards and biomotion principles that are deployed as prevalent benchmarks in the industry.

2

Hybrid genetic algorithm for bi-criteria objectives in scheduling process

Raghavendra B. V.

Management and Production Engineering Review

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2020

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Vol. 11, No. 2

107--112

EN

Scheduling of multiobjective problems has gained the interest of the researchers. Past many decades, various classical techniques have been developed to address the multiobjective problems, but evolutionary optimizations such as genetic algorithm, particle swarm, tabu search method and many more are being successfully used. Researchers have reported that hybrid of these algorithms has increased the eﬃciency and eﬀectiveness of the solution. Genetic algorithms in conjunction with Pareto optimization are used to ﬁnd the best solution for bi-criteria objectives. Numbers of applications involve many objective functions, and application of the Pareto front method may have a large number of potential solutions. Selecting a feasible solution from such a large set is diﬃcult to arrive the right solution for the decision maker. In this paper Pareto front ranking method is proposed to select the best parents for producing oﬀspring’s necessary to generate the new populations sets in genetic algorithms. The bi-criteria objectives minimizing the machine idleness and penalty cost for scheduling process is solved using genetic algorithm based Pareto front ranking method. The algorithm is coded in Matlab, and simulations were carried out for the crossover probability of 0.6, 0.7, 0.8, and 0.9. The results obtained from the simulations are encouraging and consistent for a crossover probability of 0.6.

3

Haulage system selection for Parvadeh Coal Mine using multi-criteria decision making methods

Ghasvareh Mohammad Amin, Safari Mohsen, Nikkhah Majid

Mining Science

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2019

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Vol. 26

69--90

EN

One of the key components of any project, especially mining projects, is the selection and design of haulage equipment. In most mining activities, which sometimes include mining machinery, haulage costs form a major part of the operating expenses as a matter of concern to mine managers. Due to various factors affecting the selection process of a haulage system, it is not considered a crystal clear one. Because of the complexity and multi-criterion characteristic of the selection process, the use of multi-criterion decision-making methods can be of great help to solve this problem. The TOPSIS, AHP and VIKOR methods among the multi-criterion decision-making methods are some options which are based on priority ranking. In the current paper, the loading systems of conveyors, wagons and winches as well as the locomotives and wagons are investigated. Then, the aforementioned systems are used to make a hybrid based on eight criteria, which yields the best loading system for the Parvadeh Coal Mine in Tabas. Since the obtained results were not consistent with each other in some cases, some integration techniques were utilized to employ the above methods. After integrating the results of the ranking methods, the conveyor haulage system was eventually introduced as the best option.

4

Handling The Multiplicity of Solutions in a Moea Based Pda-Theseus Framework for Multi-Criteria Sorting

Covantes E., Fernández E., Navarro J.

Foundations of Computing and Decision Sciences

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2016

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Vol. 41, No. 4

213--235

EN

This paper proposes the combination of the THESEUS multi-criteria sorting method with an evolutionary optimization-based preference-disaggregation analysis. The main features of the combined method are studied by performing an extensive computer experiment that explores many models of preferences and sizes of problems as well as different degrees of decision-maker involvement. As a result of the experiment, the effectiveness of the combined framework and the importance of the decision-maker’s involvement are characterized.

5

Automatic Enhancement of the Reference Set for Multi-Criteria Sorting in The Frame of Theseus Method

Fernandez E., Navarro J., Salomon E.

Foundations of Computing and Decision Sciences

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2014

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Vol. 39, No. 2

57--77

EN

Some recent works have established the importance of handling abundant reference information in multi-criteria sorting problems. More valid information allows a better characterization of the agent’s assignment policy, which can lead to an improved decision support. However, sometimes information for enhancing the reference set may be not available, or may be too expensive. This paper explores an automatic mode of enhancing the reference set in the framework of the THESEUS multi-criteria sorting method. Some performance measures are defined in order to test results of the enhancement. Several theoretical arguments and practical experiments are provided here, supporting a basic advantage of the automatic enhancement: a reduction of the vagueness measure that improves the THESEUS accuracy, without additional efforts from the decision agent. The experiments suggest that the errors coming from inadequate automatic assignments can be kept at a manageable level.

6

The application of AHP approach to selection of optimum underground mining method, case study: Jajarm bauxite mine (Iran)

Jamshidi J., Ataei M., Sereshki F, Jalali Seyed M. E.

Archives of Mining Sciences

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2009

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Vol. 54, no 1

103-117

EN

One of the most critical and complicated steps of designing a mine is a suitable mining method selection based upon geological, geotechnical, geo-graphical and economical parameters. Since there are many factors involved in mining method selection; the decision-making process is so difficult. In this paper, Analytical Hierarchy Proces s (AHP), with 13 criteria is used to develop a suitable mining method for the Golbini No.8 deposit in Jajarm (Iran). Six alternatives (Conventional Cut & Fili, Mechanized Cut & Fili, Shrinkage Stoping, Sublevel Stoping, Bench mining and StulI Stoping) are evaluated. The studies show that the suitable mining method for this deposit by regarding to the present situation is conventional Cut & FilI method.

PL

Jednym z kluczowych i niezwykle złożonych etapów projektowania kopalni jest dobór odpowiedniej metody prowadzenia wydobycia w oparciu o parametry geologiczne, geotechniczne, geograficzne oraz ekonomiczne. Ponieważ wybór taki wymaga uwzględniania dużej liczby czynników, proces decyzyjny staje się utrudniony. Obecna praca opisuje zastosowanie podejścia AHP (Analytical Hierarchy Process - Analityczny Proces Wyboru Hierarchii) wykorzystujące 13 kryteriów w celu wyboru odpowiedniej metody eksploatacji pokładu 8 złoża Golbini w Jajarm (Iran). Ocenie poddano sześć opcji alternatywnych: wybieranie konwencjonalne z podsadzką, wybieranie mechaniczne z podsadzką, wybieranie magazynowe, wybieranie podpoziomowe, wybieranie warstwami, wybieranie z obudową rozporową). Badania wykazały, że najodpowiedniejszą metoda eksploatacji danego złoża będzie konwencjonalna metoda wybierania z podsadzką.

7

A Multi-Criteria Decision Method Based on Rank Distance

Dinu L.P., Popescu M.

Fundamenta Informaticae

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2008

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Vol. 86, nr 1-2

79-91

EN

The multi-criteria decision making process can be summarized as follows. Given a pattern d and a set C = {c_1, c_2, .., c_m} of allmpossible categories of d, we are interested in predicting its class by using a set of n classifiers l_1, l_2, .., l_n. Each classifier produces a ranking of categories. In this paper we propose and test a decision method which combines the rankings by using a particular method, called rank distance categorization. This method is actually based on the rank distance, a metric which was successfully used in computational linguistics and bioinformatics. We define the method, present some of its mathematical and computational properties and we test it on the digit dataset consisting of handwritten numerals ('0', .., '9') extracted from a collection of Dutch utility maps. We compare our experimental results with other reported experiments which used the same dataset but different combining methods