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Rail and water transportation
modes are best suited for large, low-value shipments. The price structure
of the business make rail and water the modes of choice if low-value,
large, heavy, or high-density items need to be transported. Air, package
carriers, and trucks would not have the infrastructure required to accommodate
large items; roads and bridges would be damaged and the storage capacity
of the carriers is insufficient.
Infrastructure often requires
government ownership and is not something that can be increased in capacity
in the short term. If congestion is not factored in to the price structure
for infrastructure, then demand for the resources will exceed capacity
and major delays will occur. Pricing may be used to force users to internalize
the marginal impact of their choices, thus alleviating some of the demand
during peak periods.
A distribution center that supports several large retail stores can reduce supply chain costs in four ways: 1) Inbound shipments to the DC achieve economies of scale because each supplier sends a large shipment; 2) The outbound transportation costs for a DC can be low because it serves retail locations nearby; and very large inbound shipments that match retail demand can be cross-docked at the DC, which saves both 3) storage and 4) material-handling costs.
A DC also can replenish
retail inventories more frequently; the DC breaks bulk from manufacturers
on one side of the warehouse and sends it to retail locations on the
outbound side. Since retail demands are aggregated at the DC level,
the amount of inventory actually stored at the DC is very low and as
Little��s Law indicates, the time between replenishments is low also.
The primary difference
between these retailers is that Home Depot does not incur any outbound
transportation cost for residential customers while Amazon faces such
charges. Home Depot has substantial inbound transportation charges but
is able to offload the outbound transportation cost to the vast majority
of their customers. Amazon must use high cost package carriers for much
of its product line although they are able to avoid inbound transportation
costs for items that are drop shipped. For items that are held in one
of their warehouses, Amazon must pay both inbound and outbound.
Peapod faces the burden of expensive outbound transportation costs and must account for congestion in the delivery area. Unlike traditional grocers who don��t deliver their products, Peapod must deliver items in their fleet of climate-controlled trucks. These trucks must be scheduled with pricing incentives offered for peak and off-peak delivery times. Customers are keenly aware of the transportation component of their purchases and Peapod can use pricing incentives to spur their customers towards higher order amounts.
Both Peapod and traditional
grocers must pay the inbound transportation costs of their wares; there
would appear to be no great advantage gained by either approach unless
one vendor has such substantial market share as to gain price concessions
that they other can��t negotiate.
Inventory aggregation is a good idea when inventory and facility costs form a large fraction of a supply chain��s total costs. Inventory aggregation is useful for products with a large value to weight ratio and for products with high demand uncertainty. Both factors allow aggregation to work to Dell��s advantage, while Amazon reaps less of a reward.
Dell benefits from aggregation because personal computers have an extremely high value to weight ratio; the demand for new items is uncertain, and Moore��s Law makes holding excessive inventory an extremely unattractive proposition.
Amazon benefits from aggregation
when inventory costs are examined, but is hurt by increased transportation
costs. Most items that Amazon sells have low value to weight ratios
and Amazon must ship them via package carrier, which is expensive. Amazon
saves money on storage costs since they choose to stock more popular
titles and allow other entities to hold items with more variable demand.
Tailored transportation
is the term for use of different transportation networks and modes based
on customer and product characteristics. Tailoring transportation allows
firms to achieve cost and responsiveness targets that are appropriate
for the supply chain. The key drivers are density and distance, customer
size, and product demand and value. These drivers can be viewed as guide
for ownership of
Transportation options based on customer density and distance are summarized in the table and present cost and responsiveness tradeoffs for the supply chain.
Short distance | Medium distance | Long distance | |
High density | Private fleet with milk runs | Cross-dock with milk runs | Cross-dock with milk runs |
Medium density | Third-party milk runs | LTL carrier | LTL or package carrier |
Low density | Third-party milk runs or LTL carrier | LTL or package carrier | Package carrier |
Customer size and location
dictate whether a supplier should use a TL or LTL carrier or milk runs.
Very large customers can be supplied using a TL carrier, whereas smaller
customers can use LTL carriers or milk runs. The authors discuss a customer-partitioning
procedure for combining smaller customers�� shipments with larger customers
in order to achieve responsiveness and cost targets.
Product demand and value determine whether aggregation strategies will benefit the supply chain. The best combinations are shown in the table:
Product Type | High Value | Low Value |
High demand | Disaggregate cycle inventory but aggregate safety inventory. Use an inexpensive mode of transportation for replenishing cycle inventory and a fast mode when replenishing safety inventory. | Disaggregate all inventories and use inexpensive mode of transportation for replenishment. |
Low demand | Aggregate all inventories. If needed, use fast mode of transportation for filling customer orders. | Aggregate only safety inventory. Use inexpensive mode of transportation for replenishing cycle inventory. |
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