Authors

  • Masharipov Shodlik Masharipovich
    PhD, Tashkent state technical university, Uzbekistan
  • Erkaboyev Abrorjon Khabibullo ogli
    PhD student, Namangan engineering-construction institute, Uzbekistan

DOI:

https://doi.org/10.37547/ajast/Volume03Issue06-07

Keywords:

Analytical testing laboratory risk

Abstract

This article provides information on a study on the identification of risks in analytical testing laboratories. The process of “acceptance of applications for testing, examination of samples and formalization of test results” in the quality analytical laboratory of the research object was obtained.


background image

Volume 03 Issue 06-2023

30


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

03

ISSUE

06

Pages:

30-33

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.063

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

ABSTRACT

This article provides information on a study on the identification of risks in analytical testing laboratories. The process

of “acceptance of applications for testing, examination of samples and formalization of test results” in the quality

analytical laboratory of the research object was obtained.

KEYWORDS

A

nalytical testing laboratory, risk, risk management, risk identification, “brainstorming” method.

INTRODUCTION

Risk management in analytical laboratories where the
object of testing is food, chemical and other fields,
according to the previous interpretation of the
international standard ISO/IEC 17025 points 4.12.2 and
5.4.5.3, it is necessary to consider the risk consideration
in its context when making decisions. In the last
interpretation of the standard, it was determined the
need to develop a full-fledged procedure for risk
management [1, 3].

The risk management process should begin with an
attempt to understand the external and internal
factors that may affect the laboratory's success in

achieving its objectives. The greater the number of
factors that make up the external and internal context,
the greater the number of risks to be considered.

Context is the external or internal environment in
which

the

testing

laboratory

works:

legal

requirements, customers, management, availability of
resources, direction and density of information flows,
management system of the organization, etc. For
example, putting occupational safety requirements
into context involves risk management in this area. It is
customary for testing laboratories (in addition to the
tests themselves) to consider risks in the field of

Research Article

IDENTIFICATION OF RISKS IN ANALYTICAL TESTING LABORATORIES

Submission Date:

June 06, 2023,

Accepted Date:

June 11, 2023,

Published Date:

June 16, 2023

Crossref doi:

https://doi.org/10.37547/ajast/Volume03Issue06-07


Masharipov Shodlik Masharipovich

PhD, Tashkent state technical university, Uzbekistan

Erkaboyev Abrorjon Khabibullo ogli

PhD student, Namangan engineering-construction institute, Uzbekistan

Journal

Website:

https://theusajournals.
com/index.php/ajast

Copyright:

Original

content from this work
may be used under the
terms of the creative
commons

attributes

4.0 licence.


background image

Volume 03 Issue 06-2023

31


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

03

ISSUE

06

Pages:

30-33

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.063

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

accreditation, keeping state and commercial secrets,
working with highly toxic and radioactive substances,
ensuring industrial, fire, environmental, sanitary safety,
etc. [5].

METHOD

The purpose of identification of risks is to find,
recognize, and describe risks that may help or hinder
the laboratory from achieving its goals. The relevance,
appropriateness and relevance of the information used
in the identification of risks is important.

A laboratory may use a number of methods to identify
uncertainties that may affect one or more objectives.

In particular, in the “brainstorming” m

ethod, the list of

risks is identified in a meeting with 10-15 people. This
meeting is also a requirement of the ISO 31000:2018

standard, which constitutes the initial - communication
and consultation stage of the risk management
process. Each participant can propose their own risks,
and risks can be expanded or detailed during the joint
discussion. The risks are then categorized and defined.

This article also used the “brainstorming” method [2,

4].

RESULTS AND DISCUSSION

In this article, we developed a model of the process of

“Acceptance of applications for testing, examination
of samples and formalization of test results” in

analytical laboratories, in accordance with the

“process approach”, which is one of the principles of

the ISO 9001:2015 standard (Fig. 1).

Figure 1. Model of the process of “Acceptance of applications for testing, examination of samples and

formalization of test results”.

Risk management for this model (Figure 1) identified possible risks for each step of the process (Table 1).

Table 1.


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Volume 03 Issue 06-2023

32


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

03

ISSUE

06

Pages:

30-33

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.063

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

Identified risks for the process of “Acceptance of applications for testing, examination of samples and

formalization of test results”.

Process step

In charge

The result of the

process

Identified risk event

Formalization of

application

Specialist of the

reception

department

Correctly filled out

application

1. Error in filling out the application by

the applicant.

2. Unsigned application.

3. A set of incorrectly attached

documents.

Acceptance of

samples, submission

for testing

Specialist of the

reception

department

Sample registration

and

sending to the

testing department

1. Operator error when entering data.

2. Violation of the requirements in

sample selection and separation.

Inspection and

storage of samples

Specialist of the

test

department

Sample test

1. Lack of necessary reagents and

substances for testing.

2. Testing with out-of-date regulatory

documents.

3. Incompetence of the employee.

Forming a test

report

Specialist of the

test

department

Signed test report

1. Violation of report in model formation.

2. Include incorrect information in the

results.

Issuing the test

report

Specialist of the

department

Signed test report

1. Customer dissatisfaction with the

result.

CONCLUSION

Whether the sources of potential risks are under the
control of the organization or not, the organization
must identify (determine) them. In addition to the

“brainstorming” methods that we have discussed,

there are other methods of this identification process,

such as “FMEA analysis”, “Bow

-

tie analysis”, “Delphi

method” and “Crawford maps”

Thus, each organization has the right to decide for
itself how to identify risks, how to manage them and
what methods to use for this. Correct identification of
risks allows the organization to eliminate or minimize


background image

Volume 03 Issue 06-2023

33


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

03

ISSUE

06

Pages:

30-33

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.063

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

the probability of an undesirable event, reduce losses
and improve the quality management system of the
organization as a whole.

REFERENCES

1.

ISO/IEC 17025:2017. “General requirements for the

competence

of

testing

and

calibration

laboratories”.

2.

ISO 31000:2018. “Risk management.

Guidelines”.

3.

ISO 9001:2015. “Quality management systems.
Requirements”.

4.

ISO/IEC 31010:2019. “Risk management. Risk
assessment techniques”.

5.

Манакова И.А. Система менеджмента качества
испытательной лаборатории /И.А. Манакова,
Е.Н. Савчик // Наука и

бизнес: пути развития. –

2015.

№ 12(54). –

С. 43

-47.

References

ISO/IEC 17025:2017. “General requirements for the competence of testing and calibration laboratories”.

ISO 31000:2018. “Risk management. Guidelines”.

ISO 9001:2015. “Quality management systems. Requirements”.

ISO/IEC 31010:2019. “Risk management. Risk assessment techniques”.

Манакова И.А. Система менеджмента качества испытательной лаборатории /И.А. Манакова, Е.Н. Савчик // Наука и бизнес: пути развития. – 2015. – № 12(54). – С. 43-47.