http://www.hcltech.com/industrial-manufacturing/overview- More on Industrial Manufacturing Manufacturing is one of the worst hit industries in the current economic downturn. What at first appeared to be a financial meltdown was deep enough to stay, spread and affect the supply and hence the entire manufacturing industry as a whole. Recession always brings with itself volatility in demand. Demand volatility is a double edged sword - any effort to ramp up or ramp down production by large volumes is prohibitively costly. If not, manufacturers are left with excess or deficit inventory or reduce prices/cost to boost demand. Neither is attractive as the industry already operates under tight margins and costs are fixed. Cutting down manufacturing costs is easier said than done. Some of the simpler but commonly overlooked solution is to increase operational efficiency of equipments. But efficiency cannot be increased unless it is objectively measured and more so, tracked. Calculating the overall equipment effectiveness (OEE) rate is a crucial element of any serious commitment to reduce equipment and process related wastes. HCL's Diversified Manufacturing Practice has come out with several innovative IP based solution frameworks to address crucial challenges faced by Industrial Manufacturing firms. Enterprise Analytics Dashboard is one such solution that aims at presenting key Operational metrics like OEE, Availibility, Performance, Quality, Yield Rate on real-time basis.

1. Enterprise Analytics Dashboard
“An Integrated Source of Information”

2. Table of Contents
1 Business Background 3
2 Drivers for Enterprise Analytics Dashboard 3
3 Features 4
4 Business Benefits 5

3. 1. Business Background
The manufacturing industry by nature is not well equipped in
responding to drastic changes in demand, the reason being most of
the input costs are fixed and any effort to ramp up or ramp down
production by large volumes is a costly step.. . Therefore faced with
demand crunch manufacturers are normally faced with two tough
decisions to make. First ramp down production by closing units and
second is to reduce prices to boost demand. However neither of
them is a long term feasible solution as the industry already
operates under tight margins and costs are fixed.
Cutting down manufacturing costs seems to be the obvious
solution, but it’s easier said than done; However to stay competitive
manufacturers are giving it a serious thought and examining it with a
very keen eye.
2. Drivers for Enterprise Analytics Dashboard
The financial health of an organization is without doubt a vital
component of organizational performance. For globally spread
organizations, integrating financial information from a large
number of physical and electronic sources and plant operation
information in real time is extremely challenging. The problem
underlying integration is not due to the lack of technology; it lies in
the fact that today’s competitive market demands constant ad hoc
adjustment of business processes. When and where these needs
arise, is difficult to predict theoretically, but rapid integration of
data from dispersed systems is almost always required to support
these needs.
Enterprise Analytics Dashboard aims at presenting the Plant OEE
(Overall Equipment Effectiveness) and Profit and Loss data along
with business flow data (related to sales order) in a single view. The
main intention to build the dash board is to give a holistic view
across the organization which helps CEO to take strategic decision
with the help of analytics to enhance the performance of the
organization. The dashboard has drill down capabilities with alert
facilities to help management to take decision at right time at right
place and the data will be available in real time. The dashboard is a
single view of various KPIs related to manufacturing, Business
Flow and Profit and Loss Information.
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4. 3. Features
The Enterprise Analytics dashboard Solution has three
dimensions..The dashboard integrates Operational, Financial and
Business Flow information together in a single view. The dashboard
provides a decision support and stochastic look at factory OEE,
along with other parameters, which are humanly not possible to
extrapolate, in Real-Time. This provides the C level decision maker
a powerful decision analytics tool, as well as the correct picture. This
helps in
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? plant operational visibility with all KPIs on one
Increased
display. No more searching through many Distributed sources.
? awareness of plant operations and profitability due to
Increased
visibility of key performance indicators (KPI) in a single view
? easier and better decisions with raw data converted
Supports
into actionable information
? visibility by getting all the information in a single
Improved
dashboard with drill down view capabilities
?
Alerts option for variances based on the target set at various
levels with analytics feature
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5. 4. Business Benefits
? Manufacturing, Profit and Loss and Business Flow
Real-time
KPIs helps in taking strategic decisions which will enhance
productivity
? data consolidation effort for presenting the data to C-
Reducing
level executive will result in man power savings
? visibility helps in optimizing OEE and will help in
Plant level
improving product quality by reducing defects.
? Loss Visibility makes the planning on expenses better
Profit and
? flow in real time will give the supply and demand
Business
visibility across organization
? good decision support system powered with alerts and
Overall a
analytics which will ensure right decision at right time
? Visualization of all these KPIs will help in making
Web-Based
any quick decision at any point of time provides easy mobility to
senior executives
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