Supply Chain Management
•
A
set of approaches used to efficiently integrate
–
Suppliers
–
Manufacturers
–
Warehouses
–
Distribution
centers
•
So
that the product is produced and distributed
–
In
the right quantities
–
To
the right locations
–
And
at the right time
•
System-wide
costs are minimized and Service level requirements are satisfied
History of Supply Chain Management
•
1960’s
- Inventory Management Focus, Cost Control
•
1970’s
- MRP & BOM - Operations Planning
•
1980’s
- MRPII, JIT - Materials Management, Logistics
•
1990’s
- SCM - ERP - “Integrated” Purchasing, Financials, Manufacturing, Order Entry
•
2000’s
- Optimized “Value Network” with Real-Time Decision Support; Synchronized &
Collaborative Extended Network
The Importance of Supply Chain Management
•
Dealing
with uncertain environments – matching supply and demand
–
Boeing
announced a $2.6 billion write-off in 1997 due to “raw materials shortages,
internal and supplier parts shortages and productivity inefficiencies”
–
U.S
Surgical Corporation announced a $22 million loss in 1993 due to “larger than
anticipated inventories on the shelves of hospitals”
–
IBM
sold out its supply of its new Aptiva PC in 1994 costing it millions in
potential revenue
–
Hewlett-Packard
and Dell found it difficult to obtain important components for its PC’s from
Taiwanese suppliers in 1999 due to a massive earthquake
•
U.S.
firms spent $898 billion (10% of GDP) on supply-chain related activities in
1998
•
Shorter
product life cycles of high-technology products
–
Less
opportunity to accumulate historical data on customer demand
–
Wide
choice of competing products makes it difficult to predict demand
•
The
growth of technologies such as the Internet enable greater collaboration
between supply chain trading partners
–
If
you don’t do it, your competitor will
–
Major
buyers such as Wal-Mart demand a level of “supply chain maturity” of its
suppliers
•
Availability
of SCM technologies on the market
–
Firms
have access to multiple products (e.g., SAP, Baan, Oracle, JD Edwards) with
which to integrate internal processes
Supply Chain Management – Key Issues
•
Forecasts
are never right
–
Very
unlikely that actual demand will exactly equal forecast demand
–
The
longer the forecast horizon, the worse the forecast
–
A
forecast for a year from now will never be as accurate as a forecast for 3
months from now
–
Aggregate
forecasts are more accurate
–
A
demand forecast for all CV therapeutics will be more accurate than a forecast
for a specific CV-related product
The Bullwhip Effect:
The bullwhip
effect is a distribution channel phenomenon in which forecasts yield supply
chain inefficiencies. It refers to increasing swings in inventory in response
to shifts in customer demand as one moves further up the supply chain. The
concept first appeared in Jay Forrester's Industrial Dynamics (1961) and
thus it is also known as the Forrester effect. The bullwhip effect was
named for the way the amplitude of a whip increases down its length. The
further from the originating signal, the greater the distortion of the wave
pattern. In a similar manner, forecast accuracy decreases as one moves upstream
along the supply chain. For example, many consumer goods have fairly consistent
consumption at retail but this signal becomes more chaotic and unpredictable as
the focus moves away from consumer purchasing behavior.
Factors Contributing to the Bullwhip
•
Demand
forecasting practices
–
Min-max
inventory management (reorder points to bring inventory up to predicted levels)
•
Lead
time
–
Longer
lead times lead to greater variability in estimates of average demand, thus increasing
variability and safety stock costs
•
Batch
ordering
–
Peaks
and valleys in orders
–
Fixed
ordering costs
–
Impact
of transportation costs (e.g., fuel costs)
–
Sales
quotas
•
Price
fluctuations
–
Promotion
and discount policies
•
Lack
of centralized information
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