Aprioristic factors ranking considered in the development of special clothing for workers of oil industry

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The article is devoted to the aprioristic ranking of factors considered in the development of specialclothing for workers in the oil industry. Carrying out a questionnaire on the basis of aprioristic ranking there were revealed a consistency between the opinions of experts that allows to make a conclusion onrationality of developing new special clothing for workers in the oil industry. The degree of consensus ofexperts and the results confirmed the concordance coefficient and Pearson's chi-squared test. As a result,the data revealed that the most needed special clothing for workers in the oil industry is the jacket andtrousers of straight silhouette and of red color made from anti-static fabric. It has been established that thespecial clothing must have good air permeability, oil and abrading resistance.

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Special clothing, oil industry, oil, aprioristic ranking

Короткий адрес: https://sciup.org/140205035

IDR: 140205035

Текст научной статьи Aprioristic factors ranking considered in the development of special clothing for workers of oil industry

Statistical data processing is characterized by many influencing interrelated factors acting in different directions, which causes some difficulties in their statistical treatment. In some cases there is a lack of original information, due to the inability to usesigns, for whatever reasons in quantitative form. The solution to this problem is possible by using the knowledge and experience of industry professionals by applying the questionnaire. With a broad survey of leading industry professionals there could be identified the most informative features with different ways of organizing of the questionnaire. This approach reduces the amount of an experimental prospective work, allows to accept or reject some preliminary hypotheses, in addition to determine the influence of various factors on the optimization parameter [1,2,3].

Objects and methods of Research

For the development of special clothing for workers of the oil industry, along with the study of working conditions and workers' basic labor movements [4,5] a questionnaire survey was conducted. Application of this method of identifying important information signs caused by the fact that all the signs describing special clothes are qualitative in nature, and cannot be quantified to express the simulated index [1].

For the processing of the results of the questionnaire we used the method of aprioristic ranking. Usually aprioristic factors ranking is performed in the following order: on the basis of literature data a list of factors affecting the studied parameters is made,and then set the domain of each of the factors. Then offer it to those skilled in the brahch, to arrange a series of factors in the degree of their influence. In addition, each expert can make additions to the list, if he, in his opinion, is not complete or express an opinion on changing the

Table 1 – Factors, characterizing special clothing

Fact ors

Cut

Color

Kit of special clothing

Fabrics

Hygienic properties

Dangerous harmful industrial factors

Wearing factors

1

2

3

4

5

6

7

xi

Straight

Red

Jacket and trousers

Fire retardant fabrics

Airpermeability

Oil

Tear

x2

Semifitting

Vinous

Jacket and short overalls

Antistatic fabrics

Hygroscopicity

Dust

Abrading

x3

Closefitting

Blue

Overalls and jacket

Thermofireprooffabrics

Watertightness

Static electricity

Washing

Table 2 – Matrix of ranks

Factors

Conditional numbers of experts

Sum of ranks

Bias of the sum ranks, A i

Squares of deviations, A 2

1

2

3

4

5

6

7

8

9

1 0

1

х 1

1

1

1

1

1

2

1

1

1

1

11

-9

81

х 2

2

3

2

2

3

1

3

2

2

2

22

2

4

х 3

3

2

3

3

2

3

2

3

3

3

27

7

49

TotaV^aij = 602™^ = 60/3=20

S=134

2

х i

2

1

1

1

1

1

1

1

1

1

11

-9

81

х 2

1

3

2

2

3

3

3

3

2

2

24

4

16

х 3

3

2

3

3

2

2

2

2

3

3

25

5

25

TotaL^ay = 602™^ = 60/3=20

S=122

3

х i

2

2

3

2

1

3

2

3

3

2

23

3

9

х 2

1

1

1

1

2

1

1

1

1

1

11

-9

81

х 3

3

3

2

3

3

2

3

2

2

3

26

6

36

Total:27 L 1aij = 6027 =^ = 60/3=20

S=126

4

х 1

1

1

1

1

1

1

1

1

1

1

10

-10

100

х 2

2

2

2

2

2

2

2

2

3

2

21

1

1

х 3

3

3

3

3

3

3

3

3

2

3

29

9

81

Total:27 L 1aij = 602™1 ^^ = 60/3=20

S=182

5

х 1

1

1

1

2

1

1

1

1

1

2

12

-8

64

х 2

3

3

2

1

3

3

3

3

2

3

26

6

36

х 3

2

2

3

3

2

2

2

2

3

1

22

2

4

Total:2™1 a tj = 602™^ = 60/3=20

S=104

6

х 1

1

1

1

1

1

1

1

1

1

1

10

-10

100

х 2

2

2

3

2

2

2

2

2

3

2

22

2

4

х 3

3

3

2

3

3

3

3

3

2

3

28

8

64

Total:2™1 ац = 602™^ = 60/3=20

S=168

7

х 1

2

2

3

2

2

2

2

2

3

3

23

3

9

х 2

1

1

1

1

1

1

1

1

1

2

11

-9

81

х 3

3

3

2

3

3

3

3

3

2

1

26

6

36

Total:2™1 a tj = 602™^ = 60/3=20

S=126

The obtained results of the mathematical           The significance of the concordance

processing of the matrix of ranks assess the      coefficient is checked by Pearson criterion which

degree of consensus of experts using the      is calculated by the formula:

concordance coefficient W:                           / p =m(n-1)xW,                            (2)

W= 2 12 ^ s —,                     (1)              Taking into account the 5% significance

m (n n)                                  level and the number of degrees of freedom f =

whereS – sum of squared deviations;

M - the number of experts;                     9,table value criteria z2 = 16.92. Since all of the

N - the number of estimated factors.            calculated values of Pearson criterion Z p 2 are

Concordance coefficient evaluates the     more than table one Z 2 , we can assume that the

degree of consensus of experts on ranking and      opinions of experts are agree.

varies from 0 to 1. In this case we can assume            In this case the obtained coefficients and

that between the opinions of experts has some      values z p are presented in Table 3.

agreement, because the coefficient of concordance is different from zero.

Table 3 - The values of the coefficient of concordance W and Pearson criterion/ 2

№ Factors Coefficient of concordance W Estimated value of the Pearson criterion/; 2 Color 0,61 12,2 3 Kit of special clothing 0,63 12,6 4 Fabrics 0,91 18,2 5 Hygienic properties 0,52 10,4 6 Dangerousharmfulindustrialfactor s 0,82 16,4 7 Wearing factors 0,63 12,6 intervals of variation. The contribution of each factor is measured by the rank-place assigned to a specialist of this factor when ranking all factors with regard to their expected impact. Factors that attributed the leading role, given the first place, the rest are arranged in descending order of their effects on the studied parameters. If it is difficult to determine the dominant influence of some factor over another, then they are assigned the same rank, the arithmetic mean of the estimated amount of

their ranks. The survey results of specialists are presented in the form of a rank matrix [6].

Results and discussion

The survey of experts was conducted with the help of questionnaires and personal interviews. The questionnaire was designed taking into account the appearance of uniforms and working conditions of workers of the oil industry, had a multistage nature and was included the factors listed in Table 1.

A total of 80 completed questionnaires were obtained. Matrix of rank obtained from the questionnaires is shown in Table 2. As can be seen from the table in the preparation of a matrix

of rank assessed each factor by assigning him the rank number. In accordance with the matrix rank is defined by the sum of ranks, deviationsof the sum ranksand their squares.

As a result, the data revealed that the most needed special clothing for workers in the oil industry is the jacket and trousers of straight silhouette and of red color made from anti-static fabric. It has been established that the special clothing must have good air permeability, oil and abrading resistance.

Conclusion

Thus, questionnaire on the basis of aprioristic ranking there were revealed a consistency between the opinions of experts that allows to make a conclusion on rationality of developingof new special clothing for workers in the oil industry. The degree of consensus of experts and the results confirmed the concordance coefficient and Pearson's chi-squared test. Matrix of ranks obtained on the basis of a questionnaire, show the ratio of questions about the artistic and aesthetic, mechanical, sanitary and protective properties and determine the choice of textile materials for the manufacture of special clothing for oil workers.

Список литературы Aprioristic factors ranking considered in the development of special clothing for workers of oil industry

  • Ryskulova B.R. Research methodology: A Tutorial.-Almaty: НЦНИИРК, 2011. -111 p.
  • Khlussov V.P. Basics of Marketing. М.: «Prior». -2000. -180 p.
  • Savel’eva I.N. Fundamentals of the theory, methodology and practice of design engineering working clothing. -Ufa: PD RSciEdMC MoE. -2005. -272 p.
  • Ganiyeva G.А., Ryskulova B.R. Study of basic labor movements of the oil industry workers/Proceedings of International scientific and practice Conference «Innovative development of Food Light and Hospitality Industry». -Аlmaty: АТU, 2014, P. 271-273
  • Ganiyeva G.А., Ryskulova B.R. Development of special clothing for workers in the oil industry through the study of working conditions/Proceedings of International scientific and practice Conference «Innovative development of Food Light and Hospitality Industry». -Аlmaty: АТU, 2014, P. 270-271
  • Aprioristic ranking of factors/ed. byShchekin. -, 2nd edition. -Khabarovsk: KhSUoT, 2004. -18 p.
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