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Business Accent
Six Sigma A Case Study
Six sigma application to decrease utility costs and improve
engineering system reliability in a healthcare setting
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"The
first phase of Six Sigma
methodology started with deciding and defining the metrics to be improved"
- Anjan Roy
President & CEO,
QitsUSA
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Dr LH Hiranandani Hospital, Mumbai is a 130 bed multi speciality
tertiary and quaternary care hospital. It is the first hospital in the city
of Mumbai and the western region of India to have received the prestigious National
Accreditation for Hospitals and Healthcare Providers (NABH). Among other specialties,
the hospital has energy efficient structure design to achieve day light harvesting
and to reduce HVAC load, rain water harvesting system and integrated building
management system (IBMS).
The Need
The hospital is in the process of expanding from current
130 beds to additional 71 beds to cater to its growing patient base by constructing
and adding additional six floors of 90,000 sq feet space. The senior management
of the hospital felt that it would be crucial to control and reduce its utility
costs with the current expansion plan to meet its strategic objectives that
included providing ultimate patient services. Therefore, it was decided to implement
the Six Sigma methodology in its engineering operations and maintenance services
to control and contain the operations and maintenance budget.
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Project Objectives
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Metrics
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Units
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KPI
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| Utility Consumption |
Water and Power Consumption |
KL and KWH |
FWS/PO, DWS/PO, KWH/PO |
| Engineering System Reliability |
Engineering complaints |
No. of complaints |
No. of complaints /day |
| FWS= Flushing water supply |
DWS= Drinking water supply, |
KWH=Kilo-watt-hour, |
PO= Patient Occupancy |
Approach
The six sigma DMAIC methodology was used for achieving the desired improvement
in engineering system reliability and utility costs.
Phase-I: Defining the Opportunity for Improvement
The first phase of Six Sigma methodology started with deciding and defining
the metrics to be improved. The engineering team of the hospital decided to
improve the power consumption and water consumption (both flushing and drinking).
In terms of engineering system reliability, the team decided to reduce the no.
of engineering complaints received per day.
Metrics and Key Performance Indicators
The table shows the various metrics and their associated
key performance indicators that were targeted for improvement. Traditionally,
utility consumption has been reported in terms of per square feet of consumption.
However, the team felt that it would be more appropriate to measure and monitor
the metrics in terms of per patient consumption.
Opportunity Statement for Improvement
Benchmarks for each of the metrics were established based on historical data.
Table 1 shows the benchmarks established for power, water (flushing and water)
and gas consumption. The data shown in the table are reflective of average consumption
per patient per month. The table also shows the average number of engineering
complaints received per day.
Table-I: Benchmarks for utility consumption and engineering system reliability
based on twelve months data (March'08-Feb'09)
| Table 1 |
| KPI |
Monthly Average |
STDEV |
| KWH/PO |
104 |
12.1 |
| FWS/PO |
1.12 |
0.3 |
| DWS/PO |
0.93 |
0.2 |
| No. of engineering complaints |
19 |
5 |
Phase-II: Measure: Monitoring and Measuring Day to Day
Performance
The second phase of Six Sigma involved mapping out the processes and then monitoring
and measuring the performance indicators in a predefined and planned manner.
Each of the above key performance indicators were tracked by the Six Sigma engineering
project team on a daily basis.
Utility Consumption Monitoring
The Key Performance Indicators for utility consumption were monitored for stability
using statistical process control (SPC) charts. Individual control charts (Average
and Moving Range) were used on a daily basis.
The control limits for the charts were established using historical process
data. The team monitored the process performance using these charts on a daily
basis.
Monitoring of Engineering System Reliability
Monitoring and measurement of engineering system reliability was done by monitoring
the number of complaints received on a daily basis. Further the number of complaints
receive on a monthly basis were stratified into various types of system complaints.
The Table 2 shows the stratification of total number of engineering
complaints in the month of March'09 into various types of complaints.
| Table 2 |
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| TRADEWISE |
TOTAL |
| ELECTRICAL |
263 |
| HVAC |
52 |
| PLUMBING |
96 |
| CARPENTRY |
35 |
| GAS OPERATION |
34 |
| PAINTING |
47 |
| PHONE |
40 |
A Pareto chart for the above data is shown in Figure-3:
It can be seen from the above Pareto chart that about 65 per cent of the engineering
complaints in March'09 were of plumbing and electrical type. The total number
of plumbing and electrical problems was further stratified (second level of
stratification) into problems or complaints received from each floor. The Table
3 shows the stratification of plumbing and electrical problems per floor.
A Pareto chart for the data is shown in Table 3. The Pareto
chart above shows that about 65 of the complaints came from four floors, viz.
2nd floor, ground floor, 4th floor and 1st floor. In other words, almost 65
per cent of the complaints can be reduced by focusing improvement efforts on
these four floors only. Maximum complaints i.e. almost 20 per cent of the electrical
and plumbing complaints were received from second floor itself.
| Table 3 |
| TRADE WISE |
BASEMENT |
GROUND |
1ST FL |
2ND FL |
3RD FL |
4TH FL |
5TH FL |
6TH FL |
| ELECTRICAL |
40 |
58 |
43 |
68 |
28 |
33 |
30 |
18 |
| PLUMBING |
8 |
13 |
10 |
12 |
13 |
26 |
9 |
5 |
Phase-III: Analyse
The purpose of this phase of Six Sigma methodology is to analyze the root causes
of process deficiencies in an effort to completely eliminate them or at least
reduce the effect of the root causes on process parameters.
Utility Metrics
In the initial phases of the project, the team focused on understanding and
investigating the reasons for day -day-variations observed in the performance
of the utility metrics as shown by the control charts. The intent was to understand
and eliminate all sources that caused unusual variation in day-do- day performance
of the key performance indicators showing utility consumption i.e. power, gas
and water.
A close watch was kept on the Moving Range chart to observe
the variation in performance between two consecutive days of operation.
System Reliability
The Six Sigma team also investigated and brainstormed various factors and root
cause(s) resulting in higher plumbing and electrical complaints coming from
ground, first, second and fourth floor.
Table 4 shows the various electrical complaints and their
root causes identified by the Six Sigma team.
| Table 4 |
| Electrical Problems |
Common complaints |
Root Cause (s) |
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Central Monitor Problem |
Biomedical work |
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Tube light problem |
Reuse of Blast |
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Call Bell Problem |
Misuse by user |
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Power supply trip |
Overloading |
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| Plumbing Complaints |
Flush leakage |
Algae/SIPON |
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Geyser problem |
Incorrect thermostat setting |
Phase-IV: IMPROVE
Once the root causes were identified, then team moved on to the next phase of
Six Sigma i.e. improvement phase. The purpose of this phase is to plan and implement
various measures to eliminate various root causes of problems identified in
the analyse phase.
The team successfully achieved the following tasks in this phase of the project:
a) Brainstorm various countermeasures to eliminate the root causes.
b) Develop an implementation as well as contingency plan to implement the countermeasures.
c) Plan and measure the improvement resulting from the implementation of the
countermeasures.
This phase took almost two months i.e. May-June'09.
Benefits Achieved
As a result of the implementation in May and June, the team recorded significant
improvement in almost all of the utility metrics consumption as well as engineering
system reliability in the third quarter of 2009.
The Table 5 shows the results for third quarter performance
of 2009 compared to that in 2009. The last column in the table shows the % improvement
in third quarter of 2009 performance.
| Table 5 |
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| KPI |
Q3-08 |
Q3-09 |
% Improvement |
| KWH/PO |
89.5 |
82.7 |
7.60% |
| FWS/PO |
0.82 |
0.8 |
2.40% |
| DWS/PO |
0.78 |
0.58 |
25.60% |
| No. of engineering complaints per day |
21 |
13 |
38% |
It can be seen from the above table that Six Sigma methodology implementation
in a short span of six months has led to following improvement at the hospital:
a) Engineering complaints has reduced as much as 40 per cent per day.
b) Drinking water consumption per patient has decreased as much as 26 per cent.
c) Power consumption has decreased by almost 8 per cent per patient per day.
d) Flushing water shows a marginal improvement only. The consumption has reduced
by about 3 per cent per patient per day.
It must be noted that the above improvements i.e. reduction in utility consumption
were achieved without any compromise on patient care services and patient satisfaction.
As a matter of fact, in October 2009 the hospital has won the Malcolm Baldrige
Quality Award (Asia Pacific) for its outstanding quality services to patients.
This is the only hospital in India to have won this prestigious award.
Phase-V: CONTROL
Quality is dynamic and not static and hence Six Sigma pursuit is a journey and
not an end result in itself. The hospital management realises that the benefits
achieved so far must be sustained by maintaining strict vigilance on the underlying
systems and processes. Therefore the team has successfully implemented several
process control checks on the day to engineering operations and maintenance
tasks. These checks includes detailed procedures, audits, training of operators,
training of end users and last but not the least the measurement and monitoring
of all the KPI's on process control charts on a daily basis.
With inputs from Anil Dhamdhere, Manager, EngineeringHiranandani
Hospital
anjan@iflcm.com
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