HIDDEN COSTS OF QUALITY: MEASUREMENT & ANALYSIS

International Journal of Managing Value and Supply Chains (IJMVSC) Vol. 6, No. 2, June 2015
DOI: 10.5121/ijmvsc.2015.6202 13
HIDDEN COSTS OF QUALITY:
MEASUREMENT & ANALYSIS
Sailaja A1
, P C Basak2
and K G Viswanadhan3
1
School of Management, Indira Gandhi National Open University (IGNOU), New Delhi,
India, 2
Former Professor of Management , Indira Gandhi National Open University
(IGNOU),
3
Principal, College of Engineering & Management, Punnapra, Kerala , India
ABSTRACT
Quality is the assurance of adherence to the customer specifications and it is a measure of excellence or a
state of being free from defects, deficiencies and significant variation from standards. Customer
specification of the product can be met by strictly adhering to the quality control measures in the
production process and can be ensured in a cost effective manner only if the quality of each and every
process in the organization is well defined and ensured without any lapses. Every activity in the supply
chain line to be critically verified to identify the quality deviations incurring additional expense or loss to
the organization. This is in line with the continual improvement principle of TQM philosophy . The cost of
quality management system acts as the most significant tool in measuring, monitoring, controlling and
decision making activities in a firm which aims on business excellence.
KEY WORDS
Quality Cost, Hidden costs, Opportunity costs, Pareto Diagram, Quality Management System.
1. INTRODUCTION
A strong control over the management of utilization of resources of all categories in a
manufacturing process becomes the demand of the day due to the high competition among the
players of the present market. The resources-man, material, machine and time-to be utilized in a
most cost effective manner to ensure the profitability of any business and at the same time no
compromise in the quality is permissible. This is the highly competitive globalized market
scenario today.
Hence management and financial accounting have an important role in the measurement and
control of the components of manufacturing costs. On the other hand quality improvement
programs for attaining continual improvements have become essential to any business
organization to thrive forward profitably with enhancement in its customer base. The question is
how to achieve both these objective without losing organizational interests. Cost of quality has
evolved as the answer to this question. Cost of quality analysis is considered as one of the most
effective management tool for gathering and analyzing the expenses in maintaining quality in a
manufacturing process and also identifies the non-value added expenses. Quality improvement

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programs can be critically analyzed using quality costing techniques to check the merit of the
program. This helps the management to identify the areas for improvement in quality as well in
reducing wastages and hence ensure profitability.
Cost of quality or quality costs in a broader sense is the expenses incurred by an organization in
achieving and maintaining good quality as well as in managing poor quality throughout its line of
operations with an aim to attain highest level of customer satisfaction. The cost of quality analysis
triggers changes and provide proof why changes should be made. The need to improve the
financial position of an organization directly correlates with the process of making quality
improvements. Cost of poor quality will tend to zero, if every activities are performed well in
time.
Many models of quality cost analysis have been evolved since the inception of this concept by the
quality guru Dr. Joseph Juran in 1950. The classical PAF model by Feigenbaum (1956) which
distinguishes quality costs into Prevention-Appraisal-Failure categories, Process Cost Model by
Marsh and Ross (1976) classifying quality costs into cost of conformance and non-conformance
in the manufacturing processes, Opportunity Cost Model by Sandoval- Chavez (1998) with the
addition of opportunity losses to the other traditional models and the ABC-COQ integrated model
by Tsai (1998) are the prominent models among them. Many more dimensions have been added
to the quality cost analysis by researchers like Steve Elridge (2006) who has added knowledge
management concept to quality, Sower etal (2007) who has analyzed the quality cost as a measure
of system maturity with the analysis of the relationship between quality and quality costs and Ali
Uyar (2008) and Zulnadi yakup (2010) who have analyzed quality cost as money invested and
money lost.
The difficulties in implementation of a COQ system (Ming Tsung-2010), insufficiency in reports
(Lee Hoon Tye-2011), in capability of addressing intangible costs (Assissi Jaffer-2010) and non
synergy with TQM concepts (Aviora Aspinwal-2009) were addressed by many researchers.
Technological advancements in management were also effectively utilized by many researchers
in analyzing quality cost. Behdad Kiani etal (2009) designed a model for analyzing the influence
of costs of quality through a system dynamics approach. Mahanty. B (2012) developed a system
dynamics model of quality cost in a manufacturing firm with the new features like time
dependent deterioration process, formation of quality perception and market reaction. Arman
Sadreddin etal (2014) developed a Cost of Quality (COQ) model for the procurement process of
the construction industry to establish a general course of action for minimizing quality costs
which take into account not only the internal quality costs within the company, but also the costs
of its suppliers. Several different policies were designed and their effects on quality costs
investigated through System Dynamics (SD) simulation.
Mathematical modeling was effectively used by NVR Naidu (2008) for analyzing quality cost
categories. R K Sharma et al (2007) successfully applied a fuzzy approach to elicit expert opinion
regarding the importance of cost items. The information so obtained after fuzzy synthesis is used
to set up priority with respect to the processes which can provide necessary help to managers/
practitioners to invest efforts in reduction of cost of non-conformances (CONC) and optimal
allocation of resources. Liang-Hsuan Chen, Ming-Chu Weng, (2002) proposed a fuzzy
approaches to evaluate quality improvement alternatives because of its fuzzy nature. An evidence
fusion technique, namely Choquet fuzzy integral, is employed to aggregate the quality cost

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information. Quality cost improvement model for analyzing conflicting goals using fuzzy sets
was presented by Wang, Ming-Chu et al (2010).
Lin Zhang et al (2010) developed an extended Quality Function Deployment (QFD) approach to
assess quality cost of packaging machinery from technical perspectives. Evaluation criteria for
quality assurance cost, quality loss cost and comprehensive technical requirements are introduced
for analyzing technical requirements that transform from customer needs and AHP is used to
calculate and normalize different quality requirement weights.
The behavioral patterns of various cost categories were studied by Chopra eta (2011) and Sailaja
et al (2014) using correlation and regression analysis.
Shephered (2002) made an effective approach to the identification and measurement of quality
failure costs can be integrated into a balanced score card.
But in spite of the over helming interest shown by the academic community in COQ studies, the
industrial experts all over the world is still hesitant to utilize this tool in a fully fledged mode, as
apparent from the empirical studies conducted worldwide in this regard.
Cost of quality management study from Turkish marble industry by Ozgur Akkoyun and Huseyin
Ankara (2009), Survey regarding quality cost in Romanian service industries by Mariana Glavan
et al (2009), Cost of quality practices among Indian industries by T Nath (2003), Aravind Chopra
and Dixit Garg(2012) and Paramjit Kaur (2009) , An empirical study of quality cost system
implementation in Brazilian tool manufacturing machinery by Felipe ARAÚJO
CALARGE(2007),Cost of quality studies in Malaysia (Kanapathy & M Rasamanie-
2011,Mukhtar che Ali- 2010), Quality costing reporting studies in Australia by Judi Oliver and
Wen Qu (1999), Analytical study of cost of quality of construction projects in Dubai (Hisham
M.E. Abdelsalam-2009) , cost of quality practices in Spain (Oriol Amat and John Blake-1993),
Quality management through ISO certification and quality costs reporting studies in Bahraini
companies (Sayed Ramadhan-2005) are few among them.
These studies shows that the industrial application of COQ methods are still limited to the
traditional PAF model even though the strengths and capabilities of latest models in overcoming
the limitations of PAF method is well appreciated by academic community. In most of the cases
only direct and easily traceable costs only are gathered (Schiffaura- 2006).
1.1. Significance of the study
Many researchers were pointed out the requirement of analyzing all elements of quality costs to
make optimal decisions that leads to competitive advantages in the highly customer driven
modern market (Yang-2008). Bramford (2006) emphasize the quality cost analysis can be used as
an effective tool for management only when all quality cost elements are captured. Improvements
in the conventional model with the incorporation of additional cost categories were made by
many researchers. Modaress & Ansari (1987) incorporated two additional dimensions viz, cost of
quality design and cost of inefficient utilization. The losses incurred due to the internal
inefficiencies were studied by Dahlgaard etal (1992). Sandoval-Chavez (1998) presented a
modified COQ model with the inclusion of three elements –under utilization of installed capacity,
inadequate material handling and poor service delivery. Giakatis (2000) analyzed the losses

16
incurred against manufacturing and design losses. Intangible costs like loss to society is analyzed
by Teevaraprug(2004).Gary Cockins (2006) has explained the difficulty in measuring hidden
costs. Yang (2008) attempted to quantify lost sales as estimated hidden cost. Soo-Jin Chea (2011)
presented an action research study of tracking hidden quality costs in a manufacturing process
with a focus on the resistance of employees towards implementation of COQ system. The
significance of tracking and gathering hidden quality cost data were explained by Kume (1985),
Sandoval (1998), Giakatis etal(2010) , Johannes Freiesleben and Suresh Krishna(2010) .
Even though these studies were well appreciated by the quality practitioners, not much practical
studies found available in the literature with comprehensive data collection and analysis of all
costs including hidden costs incurred against all quality improvement activities in the
organization.
The practical studies in the case of hidden costs of quality are limited to hidden failure costs
(Suresh Krishna-2006) and hidden costs in the manufacturing process (SooJin-Chea-2011). Not
many studies are in place on opportunity costs also. Any activity which is not performed well in
right time always incurs a loss to the organization. Opportunity costs are the losses incurred
against a missed out opportunity of doing things right at first time. It is actually the measure of
internal inefficiencies and its analysis will provide immense opportunities for improvement.
Hence an attempt is made in this research to unveil all hidden quality costs including opportunity
costs right from the customer requirement analysis to after delivery support , in a manufacturing
firm. In the current era, the analysis of each individual stage in the supply chain ranging from raw
material acquisition to final delivery of the product is equally important (Ashish J. Deshmukh.and
Hari Vasudevan 2014).
2. RESEARCH OBJECTIVE
The objective of this study is to identify measure and quantify all the hidden elements –direct,
indirect and invisible elements of quality costs in all functional activities in the organization
under study. Further the importance of such an analysis is ascertained by quantifying the impacts
of hidden costs on the overall quality cost as well as on the organizational bottom line.
2.1. Methodology
The following methodology was adapted in this study:
1. Identification of all processes and quality cost elements in all corresponding activities,
Comprehensive data collection and quantification, Grouping in to direct and hidden Cost
of Quality.
2. Analysis of impact of hidden COQ on total quality cost and also on organizational bottom
line.
3. Comparison of traditional COQ system with enhanced COQ with hidden costs included.
Personal interviews and discussions with the employees in each section were carried out to list
out all processes, its input, output and control process as per the process cost model and all the
activities in each process in the supply chain line is identified. Every activity is then analyzed
critically to identify the quality lapses in each, which leads to an additional expense or loss to the
organization. The missed out opportunities for improvement also listed out. The additional

17
resources utilized in each of this instances are systematically identified and quantified using the
records like log books, route cards, registers, time study, personal interviews etc. to get the cost
incurred in each. Then these cost elements are classified into direct and indirect costs as per the
categorization in Figure.1. Further detailed comparative analysis is carried out between them.
Finally the impact of indirect and hidden quality cost elements on the overall quality cost and to
the organizational bottom line are analyzed.
Total Cost of Quality
Cost of Conformance (COC) Cost of Non Conformance (CONC) Opportunity Costs (OC)
Direct Hidden Direct Hidden
PC AC IFC EFC
(PC-Prevention Costs, AC- Appraisal Costs, IFC- Internal Failure Costs, EFC- External Failure Costs)
Figure 1. Categorization of quality cost elements
3.DATA COLLECTION AND CATEGORIZATION
The research has been carried out in a firm under electronic industry engaged in the
manufacturing of electronic equipments which is already having ISO 9001:2008 certification. The
PAF model of quality costing was already in practice in this firm with emphasis only on
traditional P-A-F elements of quality costs which are easily and directly measurable.
During this study, a comprehensive data collection strategy has been adopted for gathering
information on various quality cost elements in each activity. For this, the Process Cost Model
approach has been adopted, where in each functional area is treated as a set of processes with
definite input, output and control processes. Each process is critically analyzed to gather
maximum information on quality deviation against all the activities which make the process
complete. Then the cost incurred including indirect and hidden against these quality deviations
are quantified using the records of additional resource utilization in this regard. Lost opportunities
in each process also identified and corresponding cost data captured and quantified.
The traditional elements of costs of conformance and non-conformance identified and analyzed in
this research are listed in Table-1.

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Table.1 – Direct Quality Cost elements
Direct Conformance Costs(COC-D) Direct Non conformance Costs(CONC-D)
Prevention Costs (PC-
D)
Appraisal Costs (AC-
D)
Internal Failure Costs
(IFC-D)
External Failure
Costs (EFC-D)
Cost of maintenance of
ISO certification
Raw material inspection Scrap wastages Trouble shooting
of field failures
Training cost on quality
standards, theories and
practices
In-Process inspection-
sub assemblies and
assemblies
Internal Trouble
Shooting - Repair , Re-
test etc.
Expenditure on
customer service
dept. for support
calls from
customers
Cost on administration
of quality issues
Final tests after
integration of sub
assemblies and modules
Rejections and rejection
analysis
Repair of
defective parts
Cost on vendor quality
assurance
Pre- dispatch tests by
quality assurance
department
Re work Replacement of
defective parts
Preventive maintenance
cost of equipments &
machineries
Cost on internal as well
as customer audits
Excess material drawn
against rejections, scraps
etc.
Product recalls.
Preventive maintenance
of test jigs & tools
Interest on non moving
inventory
Machine break down
Cost of calibration of
equipments
Materials written off due
to product design
changes
The hidden quality cost elements are identified by extensive information collection by interviews, log
books, records and registers kept in various activity centers with entry of time study, time cards, machine
logbooks, complaint log books, attendance cards, minutes of meetings etc. and the cost elements identified
in this study are listed in Table 2.
Table-2- Hidden quality cost elements
Hidden Conformance Costs(COC-H) Hidden Non conformance Costs(CONC-H)
Prevention Costs
(PC-H)
Appraisal Costs
(AC-H)
Internal failure Costs (IFC-H)
External Failure
Costs (EFC-H)
Customer
requirement
review
Process audits at
vendor premises
Engineering or design mistakes Warranty claims
Engineering
design reviews
Customer audits Billing errors and rework on bills
Man power for
field assistance
on complaints

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Process validation
Document procedures for raw
material rejections
Emergency
dispatches
Production Planning errors
Raw material planning errors lead
to extra raw material cost
Similarly lost opportunities due to incapability of the system as well as inefficiencies are also
listed out in each process and measurement techniques are devised by extensive data collection
against each element identified after rigorous discussions with the authorities concerned. The
identified Opportunity Cost (OC) elements with details are listed in Table-3.
Table 3: Opportunity Cost elements
1 Under
utilization of
machine
capacity
Utilization below the installed planned capacity of machines due to insufficient
customer orders, balanced quantity of raw materials, consumables or work force as
well as planning inefficiencies.
2 Loss due to
delayed
payments
Delayed payments to the raw material vendors and loss of mutual trust results in
demand from vendors for advance payments instead of credit purchases. Loss on
account of interest against the lost credit period.
3 Customs
clearance of
materials
Customs demurrage charges on delayed customs clearance of materials. Also results
in extra documentation , Follow up time etc.
4 Excess
Financial
charges by
Banks
Penalties imposed by banks against insufficiency of documents for financial
clearances, Losses due to foreign exchange variations due to the absence of forward
contracts etc.
5 Emergency
Dispatches
Extra shipping costs to meet customer urgency and to cop up with delayed dispatches.
6 Late
delivery(LD)
Liquidate damages (LD)imposed by customer on late deliveries, part deliveries, delay
in after sale support etc.
7 Sundry
Debtors
Payment realization delays results in accumulation of sundry debtors and loss of
interest or availability of sufficient fund flow.
8 Lost sales Poor performances in product and service leads to customer dissatisfaction which in
turn results in reduction in market share.

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3.1DATA ANALYSIS AND DISCUSSIONS
Based on the data collected, different quality cost elements are grouped into different cost
categories and computed for a period of 3 consecutive years as summarized in Table-4 along with
its percentage analysis to annual sales volume as well as to total cost of quality.
Table 4: Comparative analysis of cost categories of quality cost data
The result shows that Cost of quality captured in the traditional systems in the year-1 is 8.89 % of
sales revenue whereas the same in the enhanced system with hidden and opportunity costs
included is 34.02%. The total hidden and opportunity costs amounts to 25% of sales revenue,
which is around 3 times higher than the costs based on traditional P-A-F model. The traditional
quality cost amounts to 26.14% of total quality cost, where as total sum of hidden quality cost is
73.86% of total quality cost, out of which major portion is contributed by the opportunity costs
(69.63%).
Similar is the case with next two consecutive years under study; where in the total direct costs are
10.20% & 14.98% of sales turnover and 23.89% & 21.24% of the total COQ. Here also the
opportunity costs are more than 30% & 50% of sales revenue respectively. When we analyze the

21
per category contributions to the total quality costs, opportunity costs shows the major category
with more than 70% contribution as represented in Figure 2, Figure 3 & Figure 4 .This gives a
clear picture of the quantum and impacts of hidden quality costs and opportunity losses to the
organization.
Figure 2, 3, 4: Category wise contribution to total Quality Cost for Year1, Year2 & Year 3
The Pareto analysis of all the identified cost elements also confirms the importance of hidden
cost elements. Out of the total 43 quality cost elements identified under various categories, 8
cost elements found contributing to more than 80% of the total COQ value, out of which first
three major contributors are of opportunity cost.
Figure 5: Pareto analysis of the opportunity costs
The Pareto chart shows that 80% of the quality costs come from 20% of the causes. The analysis
shows that Interest on Sundry debtors (25.93%), under utilization of machine capacity (22.91%)

22
and lost sales (18.74%), are the major categories of the total quality costs. All these three
elements are hidden opportunity cost elements. Figure 5 shows the Pareto analysis of these
results.
As per the traditional P-A-F system of quality cost calculation, the firm under study was
considered as a healthy organization with cost of quality value within an admissible limit of 10%
of sales turn over in the first year of study. But this study reveals that the actual quality cost of the
firm in first year itself is more than 30% of sales revenue and in the second year it has become
42% and in third year 70% which is an alarming situation. This shows the inadequacy of
traditional accounting system in capturing the actual quality costs and also the importance of
analyzing various hidden quality costs in a firm.
It is also found that the hidden COQ is higher than the net profit of the company. On analysis it is
revealed that most of these opportunity costs can be eliminated with awareness of the impact of
the lost opportunities and proper planning to eliminate the root causes. The underutilization of
machine capacity can be reduced or eliminated with the proper utilization of man power, by
capturing more orders by market intelligence and also by effective production planning and
scheduling. The lost sales are due to the impact of customer dissatisfaction on quality of supply,
delayed delivery and services. Proper and timely payment realization techniques and follow-ups
can reduce the losses on account of interest on sundry debtors. Engineering and design mistakes
are making many fold effects once it is identified in later stages of production process. This can
be avoided by the proper and systematic verification of design requirements in the beginning
itself. Most of the hidden costs can be eliminated by ensuring a smooth flow of error free
information throughout the production process. This can be ensured with the help of an integrated
manufacturing management system. Marketing, Customer engineering, Planning, Purchase,
Manufacturing, Quality Assurance, Dispatch and Billing sections can be made integral part of this
system. Manual document preparation errors and delays in procedures can be reduced with the
usage of this system. Requirement of customer orders to be translated to tables of requirements by
marketing department and then key parameters for production process to be identified by
manufacturing method section. Subsequently planning dept. can use this data to generate raw
material quantities required for production loading for fulfilling the available customer order.
Procurement and receipt details of raw materials and consumables also to be updated to the same
system from purchase modules. Using this data, manufacturing department can schedule the job
work and dispatch information. The costs associated with all the type of manual errors including
documentation, loading, scheduling and billing errors can be made zero with the usage of such a
system.
This root cause analysis of opportunity costs gives an insight to the opportunities to improve the
bottom line of the organization. These losses can be converted to opportunities for increasing
profit margin of the firm.
4. CONCLUSIONS
In this study, a comprehensive analysis of all cost elements which contributes to the quality of
products and services in the supply chain line of a manufacturing firm has been conducted. Apart
from the normal prevention-appraisal-failure mode quality cost categories, more in depth analysis
of all activities in the whole supply chain is done to track and measure the hidden elements of
quality cost including the opportunity cost elements.

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The study findings points out the fact that the hidden cost of quality is more than 3 times higher
than the direct quality cost elements in the manufacturing firm and most of these hidden costs can
be reduced or even eliminated by proper tracking and understanding the root causes.
This study highlights the inadequacy of traditional cost of quality system in tracking and
assessing the overall costs of quality. In order to assess the overall cost of quality, the hidden
costs also has to be identified, quantified, measured and analyzed. For tracing the hidden quality
costs, it is necessary to move beyond the data produced by the traditional accounting system. This
also gives an insight to the huge impact of hidden quality costs to the organizational bottom line
and points out the gold mine of improvements. Using this data the company can formulate
survival strategies in the highly intensive competitive market scenario.
Future studies in this field are recommended with the study of impacts of hidden elements on
overall quality cost and development of a quality cost expert system with inclusion of hidden and
opportunity cost elements.
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