Supply Chain Balanced
Scorecard
Supply chain measurements allow the company leadership to identify
weak and problem areas in the supply chain, and work out corrective
actions to improve the current performance.
Supply chain monitoring is a complex procedure because it involves a wide
range of operational processes and requires data from various internal and
external partners. However, creating a set of efficient measurements
(metrics) provides a framework for implementing manageable solutions,
streamlining routine processes, integrating data across the organization, as
well as fast and reliable data sharing with trading partners. Identifying
right metrics ensures that supply chain performance works alongside the
company’s business goals.
Supply Chain measurements include
Inventory Turns, Cycle Time, Fill Rate and other key supply chain metrics.
These metrics help the company’s management to locate problem areas, or
analyze the company performance through industry benchmarking.
Efficient supply chain metrics should contain all necessary details about
the measurement criteria, as well as current objectives and goals. The
measurement should also specify the department (employee) in charge of the
measured process. Each metric should contain actual and target performance
indicators. It is advisable to set realistic and attainable goals for each
metric, which could be achieved in short-term or long-term perspective. In
this case, metrics will become a powerful motivation for the employees
helping them to increase the current performance. Besides, in order to
provide consistent and accurate measurement data for each metric, it is
important to develop a reliable system that will measure supply chain
performance.
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The Balance Scorecard approach allows the company management to align
core supply chain measurements (key performance indicators) with current
business objectives. This is a good way to focus on key metrics that have
direct influence on the company performance.
The supply chain balanced scorecard measurements cover three major areas:
- Quality assessment for various supply chain processes (from
manufacturing to warehousing to transportation);
- Customer satisfaction
- Financial performance.
The first category includes such key metrics as Manufacturing Cycle
Time (The time period from the firm planned order until the final
production is reported), Number of Inventory Turns (The annual cost of sales
divided by the average inventory cost level), Truckload capacity utilized
(Total pounds shipped divided by the theoretical maximum for each traffic
lane, multiplied by 100), On-time pickups (The number of pick-ups made
on-time divided by the total number of shipments in a period, multiplied by
100) and some others. These metrics enable monitoring of key performance
indicators for all major supply chain processes.
Customer satisfaction category includes the following
measurements: Order Fill Rate (The amount of order lines shipped on the
initial order divided by the amount total amount of lines ordered,
multiplied by 100), Transit time (The number of days from the time a
shipment leaves the facility to the time it arrives at the customer's
location vs. standard transit time quoted by the carrier for each traffic
lane), Backorder (The amount of order lines that are not confirmed and past
the requested delivery date divided by the total amount of lines ordered,
multiplied by 100), On-Time Line Count (The amount of order lines shipped on
or before the requested delivery date divided by the total amount of lines
ordered, multiplied by 100), and Customer Order Promised Cycle Time (The
“time gap” between the purchase order creation date and the requested
delivery date).
Financial performance category provides for the measurements of Cash
to Cash Cycle Time, COGS Percentage, EBIT Percentage, as well as Year
over Year Dynamics in COGS, etc.
Balanced Scorecard approach in supply chain measurements is an efficient
way to align supply chain metrics with long-term and short-term
strategic objectives. This is a good way to compare actual and anticipated
performance in core supply chain areas.
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