inventory cost captures time-value of holding product captures time-value of holding product...
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Inventory CostInventory Cost
Captures time-value of holding Captures time-value of holding productproduct
Perishability, theft, opportunity cost Perishability, theft, opportunity cost of cash, insurance, shrinkage, of cash, insurance, shrinkage, obsolescenceobsolescence
Usually 10-15% for electronicsUsually 10-15% for electronics
Value of good*interest rate*timeValue of good*interest rate*time
ExerciseExercise
DC100 miles
100 miles
100 miles
60 miles
40 miles
50 miles
50 miles
Fuel economy: 10 mpgDriver wages: $15/hourIgnore depreciation of vehicle, insuranceSpeed of vehicle: 25 mphPrice of fuel: $2.50 per gallon
Value of goods in a truck: $100,000Interest rate: 6% per year
Time spent at DC: 3 daysHandling cost at DC: $50 per truckIgnore rent, operating cost of DC
Calculate one way transportation cost and one way inventory cost.
Cost ComparisonCost ComparisonTransportationTransportation InventoryInventory HandlingHandling TotalTotal
DirectDirect 3($60+$25)3($60+$25)
=$255=$2553($2.74)3($2.74)
=$8.22=$8.22$0$0 $263.22$263.22
DC (3 DC (3 days)days)
($36+$15)+($36+$15)+
2($30+$12.50)2($30+$12.50)
+($24+$10)+($24+$10)
=$170=$170
$4.93+$4.93+
2($1.37)+2($1.37)+
$1.10+$1.10+
3*($49.32)3*($49.32)
=$156.73=$156.73
$150$150 $476.73$476.73
DC (1 DC (1 days)days)
($36+$15)+($36+$15)+
2($30+$12.50)2($30+$12.50)
+($24+$10)+($24+$10)
=$170=$170
$4.93+$4.93+
2($1.37)+2($1.37)+
$1.10+$1.10+
$49.32$49.32
=$58.09=$58.09
$150$150 $378.09$378.09
Hypothetical curvesHypothetical curves
Shipment frequency
cost
transportation
inventory
total
Minim cost shipment frequency
We will identify the optimal when we talk about distribution systems
Cumulative Number of Cumulative Number of Items DiagramItems Diagram
time
cumulative number of items
Production (rate D’)
shipments
arrivals
Consumption (D’)
An item is a fixed quantity of infinitely divisible quantity (e.g. person, parcel, case of beer)
tm
H
Consider units on area
Cumulative Number Cumulative Number DiagramDiagram
Good for one origin/one destination problemsGood for one origin/one destination problems Identify production and consumption ratesIdentify production and consumption rates Items waiting to be shippedItems waiting to be shipped Shipment timesShipment times Shipment sizesShipment sizes Items waiting to be consumedItems waiting to be consumed Total wait time from production to consumption (if Total wait time from production to consumption (if
FIFO)FIFO) Headway (H)Headway (H) Travel timeTravel time UnitsUnits Storage space proportional to max accumulation is Storage space proportional to max accumulation is
D’HD’H
Network StructuresNetwork Structures
Trade-off inventory cost and Trade-off inventory cost and transportation costtransportation cost
Milk-runMilk-run Hub and spoke (distribution center)Hub and spoke (distribution center) Direct ShippingDirect Shipping
•No DC cost•Reduce lead times•Higher transportation expense•Good if fully loaded trucks or timely goods
•Store goods to pool inventory risk•Trade-offs in size as more demand can be pooled, but then farther from destination
•Not stored for a significant length of time•Sorted, consolidated, shipped out directly•Use different containers•Requires high volume
warehouse crossdocks
ExerciseExercise
DC100 miles
100 miles
100 miles
60 miles
40 miles
50 miles
50 miles
Inventory Pooling
What is the inventory heldin the system without the distribution center?
What is the inventory held in the system with the distribution center?
Inventory AggregationInventory Aggregation
Store 1Store 1 Store 2Store 2 Store 3Store 3
Average Average demanddemand
10 10 units/dayunits/day
20 20 units/dayunits/day
30 30 units/dayunits/day
Standard Standard deviation deviation of of demanddemand
2 2 units/dayunits/day
4 4 units/dayunits/day
6 6 units/dayunits/day
Calculate number required on hand if held at 3 stores, central facility.Online retailers as well as traditional retailersTypically increases transportation cost (think outbound, but who pays?)
Inventory ManagementInventory Management
Improve service levelImprove service level Reduce logistics costReduce logistics cost Cope with randomness and Cope with randomness and
seasonalityseasonality Speculate on priceSpeculate on price Overcoming inefficiencies in Overcoming inefficiencies in
managing the logistics systemmanaging the logistics system
Distribution Distribution SystemsSystems
Prof. Anne GoodchildProf. Anne Goodchild
Spring 2009Spring 2009
Distribution systemsDistribution systems
One to oneOne to one One to manyOne to many Many to oneMany to one Many to manyMany to many
1-1 Distribution 1-1 Distribution ExamplesExamples
Port to rail head drayagePort to rail head drayage Small in scale and/or scopeSmall in scale and/or scope
Decisions: Decisions: Shipment frequencyShipment frequency Route (this is typically a function of the Route (this is typically a function of the
network and travel times)network and travel times) Shipment timesShipment times
1-1 Distribution1-1 Distribution
Constant demandConstant demand Trade-off inventory and Trade-off inventory and
transportation cost: transportation cost: z=minz=minvv{(c{(chh/D’)v+c/D’)v+cff/v}, s.t. v<v/v}, s.t. v<vmaxmax
ccff: fixed transportation cost: fixed transportation cost
cchh: holding cost: holding cost
v*=sqrt{cv*=sqrt{cffD’/cD’/chh}}
EOQ (economic order EOQ (economic order quantity)quantity)
z=minz=minvv{Av+B/v+C}{Av+B/v+C} v*=sqrt{B/A}v*=sqrt{B/A} z*=2sqrt{AB}z*=2sqrt{AB} If v*>vIf v*>vmaxmax use v=v use v=vmaxmax
v* makes both of the terms in the v* makes both of the terms in the objective function equal (motion cost objective function equal (motion cost = holding cost)= holding cost)
Why should these be equal?Why should these be equal?
Lot Size problem with Lot Size problem with VariableVariable Demand Demand
D(t) gives cumulative number of items D(t) gives cumulative number of items demanded between 0 and tdemanded between 0 and t
D’(t) is variable demand rateD’(t) is variable demand rate Seek the set of times when shipments are Seek the set of times when shipments are
to be received and the shipment sizes that to be received and the shipment sizes that will minimize sum of motion plus holding will minimize sum of motion plus holding costs over some time periodcosts over some time period
With an With an infinite time horizon and constant infinite time horizon and constant demanddemand this is the EOQ problem just this is the EOQ problem just discusseddiscussed
When holding cost close When holding cost close to rentto rent
Variable demandVariable demand Inventory cost negligible (big, cheap items)Inventory cost negligible (big, cheap items) Increases with maximum inventory Increases with maximum inventory
accumulationaccumulation Recall motion cost independent of shipment Recall motion cost independent of shipment
sizes and times (only dependent on total sizes and times (only dependent on total amount moved or average)amount moved or average)
Thus we want to choose times and sizes to Thus we want to choose times and sizes to minimize holding costminimize holding cost
V*= D(tV*= D(tmaxmax)/n, all equal minimizes cost)/n, all equal minimizes cost cost/time=ccost/time=crrD(tD(tmaxmax)/n+c)/n+cffn/tn/tmaxmax, find n by , find n by
minimizingminimizing
When rent is negligibleWhen rent is negligible
Small, expensive itemsSmall, expensive items Simple expression cannot be Simple expression cannot be
obtained unless D(t) varies slowly obtained unless D(t) varies slowly with t (CA method)with t (CA method)
Use numerical solution (e.g. dynamic Use numerical solution (e.g. dynamic programming)programming)
One to Many DistributionOne to Many Distribution Movement of containers from the port to Movement of containers from the port to
landside destinationslandside destinations Delivery systemsDelivery systems
Decisions:Decisions: Network structureNetwork structure Fleet size (VRP and TSP)Fleet size (VRP and TSP) Shipment frequencyShipment frequency Use of an intermediate facility (minimizing Use of an intermediate facility (minimizing
logistics cost)logistics cost)
Many to one distributionMany to one distribution Export containers being delivered to a Export containers being delivered to a
marine portmarine port Collection systemsCollection systems The same analytical methods can be used The same analytical methods can be used
as with one to many distributionas with one to many distribution
Decisions:Decisions: Network structureNetwork structure Fleet sizeFleet size Shipment frequencyShipment frequency Use of an intermediate facilityUse of an intermediate facility
Many to Many Many to Many DistributionDistribution
Global distribution of marine Global distribution of marine containerscontainers
Collection and distribution systemsCollection and distribution systems
Decisions:Decisions: Network structureNetwork structure Coordination of inboundCoordination of inbound
and outbound shipmentsand outbound shipments
Many to many Many to many distributiondistribution
The problem can often, and should The problem can often, and should often, be broken down into pieces often, be broken down into pieces Inbound logistics (many to one)Inbound logistics (many to one) Outbound logistics (one to many)Outbound logistics (one to many) Be mindful of who is responsible for Be mindful of who is responsible for
cost within the supply chaincost within the supply chain Most supply chains are not operated by Most supply chains are not operated by
the same entitythe same entity Use terminals to consolidate some of Use terminals to consolidate some of
the flowthe flow
TransshipmentTransshipment
1
Introduce levels of transshipment terminalsThese can be used on the collection side or the distribution sideConsider the use of tiered airports in a hub and spoke system
2
2
Influence area
Influence AreasInfluence Areas
total
outbound
inbound
terminal
Cost
per
item
deliv
ere
d
Size of influence area
ThemesThemes
Scale Scale What part of the logistics system will What part of the logistics system will
you consider?you consider? Typically determined by ownership and Typically determined by ownership and
operating units but it depends on your operating units but it depends on your goalsgoals
ConsistencyConsistency Logistics systems are more manageableLogistics systems are more manageable