Human needs or `Voice of Customer` (VoC) and its respective requirements would have to be taken into consideration in order to develop usable products. By employing the QFD (Quality Function Deployment) method, the VoC are systematically matched with the product characteristics and it would be able to improve the quality of the product. This paper discusses the use of QFD method in order to develop a system known as the Energy Efficiency Estimation System (EEES). EEES is a system that is used to estimate the energy consumption for consumers who lived in the residential buildings. It can help consumers to estimate their energy consumption, and in the process helping them to manage and ultimately in reducing their energy consumption. The QFD method is used to translate customers need in EEES into product characteristics. The QFD analysis of the EEES development had revealed that Minimum Energy Performance Standards (MEPS), measuring equipment, type of housing, guideline and training were among the highest degree of importance.

Topics
Energy consumption, Energy efficiency
2.
G.
 
Oettinger
,
The J. of the Inter. Energy Agency
,
4
,
6
(
2013
).
Google Scholar
 
3.
N. H. A.
 
Majid
,
Procedia – Soc. and Behavioral Sci.
,
170
,
527
–
536
(
2015
).
https://doi.org/10.1016/j.sbspro.2015.01.054
Google Scholar
Crossref
Search ADS
 
4.
Energy Commission
“Peninsular Malaysia Electricity Supply Industry Outlook” (
Putrajaya
,
2013
).
5.
Information on www.tnb.com.my/.
6.
Information on http://www.iea.org.
7.
L.
 
Han
 &
Q.
 
Yan
, “
An approach to index system of efficacy evaluation on building energy conservation
” (
Proceedings of the international conference on E-product E-service and E-entertainment
,
2016
).
Google Scholar
 
8.
W.
 
Zhu
,
Y.
 
Rui
 &
W.
 
Lingfeng
, “
Intelligent multi-agent control for integrated building and micro-grid systems
”
Proceedings of the IEEE PES innovative smart grid technologies (ISGT)
,
2011
).
Google Scholar
 
9.
Energy Efficiency Trends in Residential and Commercial Buildings
(
U.S. Department of Energy
,
2008
).
10.
T.
 
Ueno
,
R.
 
Inada
,
Appl. Energy
,
83
(
8
),
868
–
883
(
2006
).
https://doi.org/10.1016/j.apenergy.2005.09.004
Google Scholar
Crossref
Search ADS
 
11.
T.
 
Ueno
, and
F.
 
Sano
,
Appl. Energy
,
83
(
2
),
166
–
183
(
2006
).
https://doi.org/10.1016/j.apenergy.2005.02.002
Google Scholar
Crossref
Search ADS
 
12.
Tsuji
,
K.
 et al.,
2006
.
An End-Use Energy Demand Monitoring Project for Estimating the Potential of Energy Savings in the Residential Sector
.
Residential Buildings: Program Design, Implementation, and Evaluation
,
2
, pp.
311
–
322
.
Google Scholar
 
13.
J.
 
Langevin
,
P.L.
 
Gurian
 &
J.
 
Wen
,
Applied Energy
,
102
,
1358
–
1370
,
2013
.
https://doi.org/10.1016/j.apenergy.2012.07.003
Google Scholar
Crossref
Search ADS
 
14.
M.
 
Mardookhy
,
J. of Cleaner Production
,
85
,
241
–
249
(
2013
).
https://doi.org/10.1016/j.jclepro.2013.09.025
Google Scholar
Crossref
Search ADS
 
15.
A.
 
Lockamy
,
A.
 
Khurana
,
International Journal of Quality & Reliability Management
,
12
(
6
),
73
–
84
(
1995
).
https://doi.org/10.1108/02656719510089939
Google Scholar
Crossref
Search ADS
 
16.
J.
 
Chen
,
J. C.
 
Chen
,
J. of Industrial Tech.
,
18
(
2001
).
Google Scholar
 
17.
Y.
 
Akao
, “
Past, Present, and Future
” (
International Symposium on QFD
,
1997
), pp.
1
–
12
.
Google Scholar
 
18.
Y.
 
Chong
 &
C. H.
 
Chen
,
Adv. Eng. Informatics
,
23
,
149
–
156
(
2009
).
https://doi.org/10.1016/j.aei.2008.10.003
Google Scholar
Crossref
Search ADS
 
19.
P.
 
Engelbrektsson
 &
M.
 
Soderman
,
J. of Eng. Design
,
15
,
141
–
154
(
2004
).
https://doi.org/10.1080/09544820310001641245
Google Scholar
Crossref
Search ADS
 
20.
A.
 
Dennis
,
B. A.
 
Wixom
 &
R. M.
 
Roth
, “System Analysis Design” (3rd Edition 
New Jersey
:
Wiley and Sons
,
2006
).
21.
Y.
 
Akao
, “Quality Function Deployment: Integrating Customer Requirements into Product Design” (
New York
:
Productivity Press
,
1990b
).
22.
S.
 
Sakthivel
,
Inter. J.of Enterprise Information Sys.
,
2
(
4
),
18
–
37
(
2006
).
https://doi.org/10.4018/jeis.2006100102
Google Scholar
Crossref
Search ADS
 
23.
A.M.
 
Leman
 et al. 
Asian J. on Quality
,
11
(
2
),
165
–
182
(
2012
).
https://doi.org/10.1108/15982681011075970
Google Scholar
Crossref
Search ADS
 
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