Analysis of Production Costs: An Approach to Decision-Making
Sebastián Tapia-Quezada
1a
, Lisseth Lucero-Hurtado
1b
, Fabiola Reino-Cherrez
2c
,
Lorena Siguenza-Guzman
2,3 d
and Rodrigo Arcentales-Carrion
1,2 e
1
Faculty of Economics and Administrative Sciences, University of Cuenca, Cuenca, Ecuador
2
Department of Applied Chemistry, Faculty of Chemical Sciences, University of Cuenca, Cuenca, Ecuador
3
Centre for Industrial Management Traffic & Infrastructure, KU Leuven, Celestijnenlaan 300,
Box 2422, BE- 3001, Leuven, Belgium
Keywords: Textile Products, Production Costs, Textile Production, Decision-Making Cost Systems.
Abstract: Due to competitive growth, companies need to have a cost system that allows them to identify all the costs
incurred in the production process. Furthermore, it is necessary to know the company's needs and production
characteristics for its implementation. That is why the present investigation analyzes the production costs in
an Ecuadorian textile SME dedicated to manufacturing and commercializing lingerie for the home. This study
aims to identify a cost model that adapts to the characteristics and needs of the organization, both economical
and productive. The methodology is based on a) organizational knowledge and information gathering, b)
analyzing the production costs, and c) establishing the optimal cost model proposal. The findings indicate that
the textile SME does not have a production cost system that allows timely decision-making. Thus, the study
proposes implementing a cost system for operations since it best adapts to the characteristics and needs of the
case study. Furthermore, this system aims to optimize the entity's internal processes, allowing timely decision-
making, both strategic and productive.
1 INTRODUCTION
Cost accounting is a technique or method that
establishes the price of a project, process, goods,
and/or service (Kesimli, 2022). Its main objective is
to provide "internally oriented" information, which
allows the valuation of the costs involved in the
production process (Rogosic, 2021). Production costs
include raw materials, labor, and manufacturing
overhead (MOH) (Istan et al., 2021). Thus, the direct
raw material is easily identifiable in a specific good
or service (Mekonnen et al., 2019). Labor represents
the payments made to the workers to transform the
raw material (Putri, 2017). Finally, MOH is monetary
disbursements that constitute the indirect part of the
transformation process of a product (Dey et al., 2020).
Adequate management of production costs and a
cost system allows an organization to establish the
correct monetary value of the resources used in
a
https://orcid.org/0000-0001-9106-5368
b
https://orcid.org/0000-0003-0588- 3423
c
https://orcid.org/0000-0002-6011-665X
d
https://orcid.org/0000-0003-1367- 5288
e
https://orcid.org/0000-0002-9700-8898
product production without affecting it (Cirilo &
Cunha, 2018). Moreover, having a cost system is
essential to generate helpful information that solves
the inefficiencies linked to the transformation and
marketing of a given product (Hoozée & Ngo, 2018).
Thus, the selection of the cost system depends on the
information needs required by each company. The
most common cost accumulation systems in
organizations that produce goods are by production
orders, processes, and Activity-Based Costing (ABC)
(Cárdenas et al., 2020). The production order system
is used for limited manufacturing and corresponds to
a specific work order (Handayani et al., 2020). The
processing system is used for large-scale, continuous
production. Combining the system with production
orders and processes gives rise to the system by
operations. This system considers that the processing
operations are similar, while the direct materials used
in production are different (Chacón, 2016; Flores,
2016). Finally, the ABC system is based on the
82
Tapia-Quezada, S., Lucero-Hurtado, L., Reino-Cherrez, F., Siguenza-Guzman, L. and Arcentales-Carrion, R.
Analysis of Production Costs: An Approach to Decision-Making.
DOI: 10.5220/0011857000003494
In Proceedings of the 5th International Conference on Finance, Economics, Management and IT Business (FEMIB 2023), pages 82-88
ISBN: 978-989-758-646-0; ISSN: 2184-5891
Copyright
c
2023 by SCITEPRESS Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
activities of an organization and focuses on the
expenses involved in the production process (Areena,
2019). From the ABC system comes the Time-Driven
Activity-Based Costing (TDABC) model. This
system provides the cost based on the time consumed
by each activity (Kaplan & Anderson, 2004).
This research analyzes the production costs
corresponding to 2020 to determine the optimal
costing system for a textile SME, contributing to
timely decision-making. For confidentiality reasons,
the entity in which this research is carried out is
known as the "case study.” This article comprises
four sections: 1) Theoretical background; 2) Study
methodology; 3) The results expressed in phases; and
finally, 4) Conclusions and recommendations.
2 MATERIALS AND METHODS
The case study selection was based on convenience
due to the availability of two parameters: 1) the
confidential and limited access data on production
costs and 2) the availability of the collaborators
involved in the investigation. On the other hand, the
present study is based on the procedure for the cost
construction that facilitates decision-making
proposed by Mejía (2015) and the diagnostic process
for determining the cost system developed by Ríos
(2014). In this sense, for the research development, a
combination of the exposed methodologies was
carried out, resulting in three main phases a)
Knowledge of the entity and review of information,
b) Analysis of production costs, and c) Determination
and proposal of a cost system. Therefore, it is
essential to document each step in-depth in the
general phases.
The first phase focused on the collection and
review of information in order to determine whether
the organization has control of production costs. This
was done through visits to the facilities and
interviews with the collaborators of the case study
entity. The production costs were analyzed in the
second phase to know how they are treated. For this
purpose, the sample was selected based on purposive
sampling. Finally, the third phase focused on
proposing a costing system for the company to assist
in timely decision-making. For decision-making, a
literature review matrix of the costing systems
applicable to the case study was prepared. From this,
a first selection was made, using a decision matrix, to
choose the cost systems that can be used as favorable
alternatives in the characteristics of the entity. Then,
with the results obtained in the previous process, the
final selection was made using the weighted factors
technique, which takes as parameters: the
requirements and needs of the organization)}.
2.1 Knowledge of the Entity and
Review of Information
The initial phase of the investigation was based on
preliminary knowledge of the company, which starts
from two approaches. The first refers to the
understanding of the entity's internal production.
Then, by applying an interview addressed to the
commercial department and later with an analysis
carried out with the annual production reports,
information was obtained regarding the products with
the highest demand and rotation in the period studied.
Thus, the products with the most significant
representation in 2020 were quilts, cushions, and
sheets.
Figure 1 represents the monthly production level
for the year 2020. In this sense, it is evident that there
was a drastic drop in the production of its main textile
articles between March and June. This atypical
productive behavior refers to the health emergency
from COVID-19 that went through the town from
March onwards. For this reason, the Management and
the departments related to manufacturing considered
implementing new textile articles such as biosafety
suits and masks:
Figure 1: Production level. Household linen products vs.
products outside the business line.
The second approach concerns the organization's
treatment of internal production costs. According to
the Manager, the Production Leader, and several
collaborators framed within the operational process,
a) the sale price of the items is established
according to the supply chains and the model
customization, and
Analysis of Production Costs: An Approach to Decision-Making
83
b) deficiencies in the payment of concepts, such as
labor, transportation, maintenance, and fuel, are
detected. Reviewing the documentation provided,
such as Kardex, balance sheets, financial statements,
digital databases, and physical reports, verified this.
2.2 Production Costs Analysis
In this second phase, the study's universe was initially
established to determine the research's scope.
Therefore, this process consisted of organizing all the
products produced in 2020 by category. Table 1
illustrates the sales level of textile products for the
year under study. The results obtained were: 147,292
articles produced, grouped into 49 categories, of
which almost 56% of sales come from three main
types: quilt, cushion, and sheet. Similarly, at the
management’s request, the item "table runner" was
considered for analysis in the investigation due to a
significant increase in customer orders in recent
months.
Once the sampling was established, elaborating
on the products was recognized as a second step.
Physical monitoring of all the activities and methods
was carried out in the elaboration of the different
articles. Subsequently, it was determined that
exclusivity is the main differentiating characteristic
of the manufacture of the pieces. Thus, the
manufacturing process per category is similar, with
differences only in the strokes, cut, type of raw
material, and design.
Table 1: Representation of sales level of textile products in
the year analyzed.
Product category Representation
1 Quilt 25.27%
2 Cushion 16.89%
3
Bedsheet
13.65%
4
Table runner
0.01%
5
Other
44.20%
Total 100%
Sales concentration 55.81%
3 FIELDWORK
This section details the main results of developing the
methodology presented in this research. The
following results were obtained for raw material,
labor, and MOH within the company's behavior and
treatment of its production costs.
Raw Material. The raw material consumption is
generally known before the budget analysis to reveal
the quantity required of this input per period. That is
why its behavior in 2020 showed an unusual trend in
certain months, with a decrease in the production of
textile articles. This is evidenced in Fig. 2. It shows
that, between March and April, there was a reduction
in the participation of this cost element due to the lack
of supply chains, the paralysis of the services of
certain suppliers, and the difficulty in raw material
import. However, a remarkable recovery can be seen
since September, somewhat managing to redeem the
low production of previous months.
Figure 2: Monthly general behavior of the raw material of
the articles studied.
Table 2: Percentage of the cost of materials used in the
manufactured products.
Comforter Sheets Cushion
Table
runne
r
Poster
0.7%
Adhesive
2.0%
Banner
0.7%
Label
0.4%
Label
0.2%
Poster
0.8%
Label
0.7%
Thread
1.5%
Cover
13%
Elastic
4.2%
Canvas
46.5%
Back
6.9%
Thread
1.2%
Label
0.4%
Brocade
17.2%
Main
25.5%
Micro-
thread
27.5%
Packaging
3.8%
Marker
33.8%
Cardboard
1.2%
Polyester
27.9%
Thread
1.3%
Card
1.1%
Sublimated
48.6%
Down
29.5%
Base
36.2%
Card
2.3%
Envelope
38%
Packaging
13.5%
Sleeve
13.2%
Total
100%
100% 100% 100%
For calculating the general participation of the
raw material in the textile articles determined in the
sample, the material consumption reports
corresponding to 2020 were taken as a reference. In
this manner, the raw material represents an average of
FEMIB 2023 - 5th International Conference on Finance, Economics, Management and IT Business
84
40.20% of the total production costs. Therefore, it
proves that this cost element is the primary basis of
the manufacturing process. In addition, the company's
treatment of the raw material begins with registering
inventories through internal software managed by the
warehouse owner. In this sense, Table 2 contemplates
a summary of the raw material control of the entity.
This control is based on a percentage determination
and is managed by software. Based on this, an
estimate of the price of household linen is established.
The raw material is the cost element with the most
excellent control in the case study. Hence, efficient
management in consuming material resources and
supplies is promoted. That is why it is evident that the
internal organizational priority, both for control and
the departments related to production, is to focus its
objectives on optimizing all raw material costs,
reducing waste, and keeping records of material
consumption. However, despite rigorous internal
control of this input, a specific treatment of a
currently existing cost model has not been evidenced.
Labor. Labor participation in production is
crucial for the textile SME's performance. Based on
the analysis of the annual behavior of this cost
element, it was determined that the direct
participation of labor had shown a dangerous
tendency from March to June. Figure 3 shows a high
percentage of growth, and it is powerfully
demonstrated that there is a significant increase in
labor cost in the first quarter compared to the others.
Figure 3: Monthly general behavior of the workforce in the
products.
This unique behavior refers to two main factors. First,
a strict mobility restriction derived from COVID-19
was established in the town; however, the case study
company continued to work usually with all its
collaborators. Second, the home linen product line
had to be restructured and executed on minor scales,
prioritizing the manufacture of items outside its line
of business. In this sense, labor represented an
average of 29.13% of the total production costs of
textile articles.
Based on the above, the textile SME, a
manufacturing company, establishes that direct labor
costs (DLC) represent 64.81% of the company's total
employees. Within DLC, they cover work areas such
as cutting, sewing, finishing, and machine operators.
On the contrary, Indirect Labor Costs (ILC) represent
a total of 35.19% and are mainly made up of strategic
(18.52%) and support (16.67%) personnel. This
indirect labor participation includes work areas such
as production assistants, designers, and production
and sales leaders.
Manufacturing overhead. Regarding the behavior
analysis of this last cost element, Fig. 4 illustrates the
MOH behavior throughout the period studied.
Therefore, compared to the cost elements analyzed
above, their behavior is relatively standard, with
different cost variations with insignificant increases
and decreases. This is due precisely to the level of
direct participation of external entities that provide
finishing and manufacturing services for certain
textile products because, at certain times, it is at its
maximum production capacity. Consequently, the
company must resort to these expenses to fulfill its
customers' orders on time. That is why the share of
indirect manufacturing costs is represented by
30.68%.
Figure 4: Monthly general MOH behavior in the products
studied.
Figure 5 presents the main items that make up the
MOH. The indirect cost with the highest monetary
value incurred by the organization was the item of
garments to outsourcers (maquilas), representing
50.3% of the total MOH, followed by indirect
manufacturing supplies (16.6%) and leases to
establishments (11.4%).
Figure 5: Percentage of MOH representation in textile
production.
Thus, external companies' participation in
different production services represents the highest
indirect cost within the production costs, alluding to
a stable behavior in the period studied. However, the
company's treatment of this cost element is null since
it only keeps accounting records and documentation
supported by files in correspondence with all the
expenses incurred in the company in general.
Analysis of Production Costs: An Approach to Decision-Making
85
3.1 Knowledge of the Entity and
Review of Information
The last phase began with elaborating a literature
review matrix illustrated in Annex 1. It revealed what
type of production is directed, cost allocation,
companies to be applied, and purpose. This is to know
which systems are coupled to the company's
characteristics. Moreover, identifying the company's
features (Annex 2) was considered the first procedure
for the correct cost system selection. This report was
approved and validated by the General Management.
Table 3 presents the selection process, taking the
matrix that Joya (2016) and Guevara (2021)
elaborated on. "X" means the section is met, and "O"
does not apply to the evaluation section.
In this sense, the cost models representing the
highest rating in a final sum were three systems:
Purchase Orders, Processes, and Operations. The
ABC and TDABC cost systems were not considered
because the company does not have well-defined
productive activities. In addition, its adaptation
requires a lot of time and high costs. Therefore, a
second selection was made, considering the results of
the previous table. In this manner, a series of
requirements adapted to the entity's needs were
established to implement a cost model that allows
adequate control and an equitable allocation of costs.
Table 3: Selection of the cost system based on the
company’s characteristics.
Selection cost
systems based
on the
characteristics
of the
case study
By
Orders
By
Processes
By
Operations
ABC TDABC
Type of
company
X X X X X
Type of
p
roduction
X O X O O
Operational
structure
O X X O O
Similar
p
roduction
p
rocesses
O X X X X
Exclusive
designs
X O X O O
Planned
p
roduction
O X X X X
Cyclic
p
roduction
O X X X X
The specific
direct raw
material is
r
equired to
p
roduce each
category
X O X O O
The raw
material enters
through various
rocesses in
several
departments
O X X X X
Reception of
p
roduction.
X O X O O
Control of cost
elements
X X X X X
Product Costing X O X O O
To this end, the technique of weighted factors
expressed in (1) was used. For Solano (2020), this
technique considers a "quantitative analysis that
compares alternatives to achieve an optimal decision,
in which the options are affected by factors that
contain a relative weight.” In this sense, a series of
steps are established for decision-making. The
procedures include a) defining the critical success
factors or decision criteria, b) assigning a weight to
each criterion, c) defining a scale of values for the
decision criteria, d) multiplying the weight score of
each factor and calculating the total score and, e)
explaining the quantitative results (Heizer & Render,
2011).
(1)
Where:
Sj: Overall score of each alternative.
Wi: Weighted weight.
Fij: Score of the j alternatives for each factor i.
Annex 3 illustrates the decision criteria based on
the company's needs for correctly implementing a
cost system. In addition, each requirement was
assigned a weight based on the importance of each
criterion. Finally, the conditions and the established
percentage were validated with interviews with the
General Directorate, dialogues with the entity's
collaborators, results of the previous phases, and
direct observation.
Next, a weighting matrix was created based on the
decision criteria. First, the cost system with the highest
qualification was chosen, as shown in Table 4. Thus, a
score of 0 to 3 was established for each system, where:
zero - does not apply, one - barely meets the decision
factor, two - partially complies with the deciding
factor, and three - fully complies with the deciding
factor. Subsequently, a weighting was made between
the weight and the individual rating of each decision
criterion for each system. As a result of the total
weighting, the highest rating was the cost per
operations system, with a score of 2.95, which best
adapts to the company's production process.
FEMIB 2023 - 5th International Conference on Finance, Economics, Management and IT Business
86
Table 4: Weighting matrix for the cost system selection.
Decision
Criteria
Weight
Cost Systems
Production
Order
By
Processes
By
Operations
Production
Production
p
rocess.
20% 1 1 3
Control of cost elements
Raw material
control.
15% 3 3 3
Labor control. 15% 3 3 3
Indirect
manufacturing
cost control.
15% 3 3 3
Determination of costs
Unit
production
costs.
15% 3 3 3
Information systems and decision making
Information
systems
10% 3 3 3
Decision
making
10% 3 3 3
Summary 100% 19 19 21
Total 2.6 2.6 3
4 CONCLUSIONS
In correlation with the analysis of production costs
carried out in the case study company, it was
determined that: a) the only existing treatment during
the manufacturing process of textile articles is the raw
material input. This element is based on physical and
digital documentary evidence, which contains the
homogeneous distribution of material costs,
mathematical calculations, and statistical
representations that allow a partial approximation of
the sale price of textile garments. b) On the other
hand, inputs such as labor and indirect manufacturing
costs do not show a specific procedure by the
production departments. In this sense, it is concluded
that these inputs represent together more than 50% of
the total production costs, evading the proportional
cost allocation in the textile products determined in
the sample. That is why they are not considered
within establishing the actual cost of textile products.
c) From the previous sections, it is also inferred that
the textile SME understudy does not have a cost
system, much less follow a specific cost model as a
reference.
In correspondence with what was described above
on determining the case study's particularities and
internal productive needs, it was concluded that the
cost system for operations is considered an ideal
proposal for the textile company. This was confirmed
through the different qualifications assigned in the
selection processes to the possible cost systems to be
applied in the establishment. On the other hand, the
processing system could be successfully
implemented because it has a batch production
volume and the various departmental processes to
which the raw material is subjected to reach the final
product. However, it was not selected due to the
company’s production type. The nature of its
products is made according to the modifications and
designs requested by customers.
The operations system combines the process cost
model to establish conversion costs and the job order
system to allocate direct material costs. Thus, this
cost model would grant the following benefits to the
case study. First, it records and controls raw
materials, labor, and manufacturing overhead.
Second, it adapts to the nature of the entity and its
producing manner, whether it is a batch or an order of
orders. Third, it conforms to the information systems
provided by the company. Fourth, it gives more
accurate information that improves the delivery of
results for timely decision-making. Finally, it
facilitates the planning and control of production
processes.
ACKNOWLEDGMENTS
This study is part of the research project
"Incorporating Sustainability concepts to
management models of textile Micro, Small and
Medium Enterprises (SUMA).” The authors thank
the Vice Rectorate for Research of the University of
Cuenca (VIUC) for the funding provided, the
company used for the case analysis, and the "SUMA"
project team coordinated by the Industrial
MAnaGement and INovation rEsearch - IMAGINE
research group.
REFERENCES
Areena, S. (2019). A review of Time-Driven Activity-
Based Costing Systems in various sectors. Journal of
Modern Manufacturing Systems and Technology, 2,
15–22.
Analysis of Production Costs: An Approach to Decision-Making
87
Cárdenas, B. E., Guamán Ochoa, M. M., Siguenza-
Guzman, L., & Segarra, L. (2020). Integración de
información de costos para la toma de decisiones en
industrias de ensamblaje. Revista Economía y Política,
31, 100-117. https://doi.org/10.25097/rep.n31.2020.07
Chacón, G. (2016). Costeo por operaciones Aplicación para
la determinación de precios justos en la industria del
plástico. Actualidad Contable FACES, 19(32), 5- 39.
Cirilo, C., & Cunha, J. (2018). Development of a costing
system in a small nautical company of the Manaus
industrial pole. Publons, 7.
Dey, T., Dey, S., Pandey, D., & Sheik, I. (2020). Persuasive
Metamorphosis of Manufacturing Overhead at The
Golden Doors of Disparaging Uttermost Cost of Goods.
TIJOTIC, 1(1), 8–15. https://doi.org/10.5281/
ZENODO.3873374
Flores, C. (2016). Análisis comparativo de tres sistemas de
costeos para la Unidad de Propagación de Plantas de la
Escuela Agrícola Panamericana Zamorano. Escuela
Agrícola Panamericana, Zamorano.
Guevara, O. (2021). Diseño e implementación de un
sistema de costos. [Santo Tomás]. https://repository.
usta.edu.co/jspui/bitstream/11634/33
291/11/2021GuevaraOscar.pdf
Handayani, E. S., Winarni, Akiah, S., & Suriyanti. (2020).
Analysis of production cost calculation base on order
(job order costing) in Rafi Jaya Mebel (RJM) suak
temenggung. Research in Accounting Journal, 1(1), 9.
Heizer, J., & Render, B. (2011). Dirección de la producción
y de operaciones: Decisiones estratégicas. Pearson
Educación de México, SA de CV. https://public.
ebookcentral.proquest.com/choice/public
fullrecord.aspx?p=5134046
Hoozée, S., & Ngo, Q.-H. (2018). The Impact of Managers’
Participation in Costing System Design on Their
Perceived Contributions to Process Improvement.
European Accounting Review, 27(4), 747-770.
https://doi.org/10.1080/09638180.2017.1375417 Istan,
M., Husainah, N., Murniyanto, M., Suganda, A. D.,
Siswanti, I., & Fahlevi, M. (2021). The effects of
production and operational costs, capital structure and
company growth on the profitability: Evidence from the
manufacturing industry. Accounting, 7(7), 1725-1730.
https://doi.org/10.5267/j.ac.2021.4.025
Joya, J. (2016). Diseño de un sistema de costos para la
empresa de accesorios Ltda. [Industrial de Santander].
http://tangara.uis.edu.co/biblioweb/tesis/2016/165473.
pdf
Kaplan, R. S., & Anderson, S. R. (2004). Time-Driven
Activity-Based Costing. 1(1). https://hbr.org/2004/11/
time-driven-activity-based- costing
Kesimli, I. (2022). A review in Three International
Accounting History Journals. Accounting and Financial
History Research Journal, pp. 22, 53–78.
Mejía, C., Higuita, C., & Hidalgo, D. (2015). Metodología
para la oferta de servicio diferenciado por medio del
análisis de costo de servir. Estudios Gerenciales,
31(137), 441-454.
https://doi.org/10.1016/j.estger.2015.08.002 Mekonnen,
N., Lemech, S., & Seid, K. (2019). Cost and
management accounting part I (ACFN201). Kedir Seid.
https://eopcw.com/assets/stores/Cost%20and%20Man
agement%20Accounting%20I/lecturenote_875129059
Cost%20and%20Managerial%20Accounting%20%20I
.pdf
Putri, R. L. (2017). Analysis of production cost calculation
using process costing method in suli tofu factory.
Ekonmika´45, 5(1). https://www.jurnal.univ45sby.ac.id/
index.php/ekonom i/article/view/167
Ríos, M. (2014). Método de diagnóstico para determinar el
sistema de costes en una Pyme. Un caso de estudio.
RIGC, 12(24), 13.
Rogosic, A. (2021). Public sector cost accounting and
information usefulness in decision-making. Public
Sector Economics, 45(2), 209–227. https://doi.org/
10.3326/pse.45.2.2
Solano, C., Figueroa, V., Jiménez, J., & Hernández, S.
(2020). Aplicación de herramientas estratégicas para la
implementación de métodos de ubicación en una
empresa del sector de maderería. 42(136), 19
APPENDIX
Appendix A – Cost systems literary review matrix
available at:
https://imagineresearch.org/csa_appendix/
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