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Professor Goodchild Spring 08

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1 Professor Goodchild Spring 08
Logistics Cost Professor Goodchild Spring 08

2 Follow the path of an item
Carried from production area to storage area Held in temporary storage Loaded into transport vehicle Transported to the destination Unloaded, handled, and held for consumption

3 What incurs cost? Overcoming distance (motion):
transportation cost (over the road/rail) handling cost (through a terminal, in and out of vehicles) Overcoming time (holding): holding cost: Rent (proportional to D’H) Waiting (value*time*interest rate) In transit pipeline How you calculate the value depends on the analysis you are doing (cost or price) We will include all costs, regardless of who pays them (we are designing systems)

4 Cumulative Number of Items Diagram
Production (rate D’) shipments cumulative number of items An item is a fixed quantity of infinitely divisible quantity (e.g. person, parcel, case of beer) H tm Consumption (D’) arrivals time Consider units on area

5 Queue Discipline FIFO: First In First Out LIFO: Last In First Out
Others If LIFO inventory cost is usually underestimated

6 Holding cost: Rent proportional to max. accumulation
Independent of flow rate, D’ Proportional to max. time between dispatches

7 Holding cost: Waiting Cost associated with delay to items ciHi+citm
Stationary+pipeline inventory Determining ci is difficult

8 Transportation Cost Shipment cost has fixed and variable portions: cf+cvv (v is number of items) Fixed cost: driver wage Variable cost: increased fuel consumption Cost for n shipments: cfn+cvV (V is total items across shipments, n is number of shipments)

9 Transportation cost Cost per item: cf/vavg+cv
Economies of scale from sharing fixed cost Also cost per item is (cf/D’Havg)+cv Transportation cost decreases with average headway Holding cost increased with maximum headway Therefore shipments should be spread so as to minimize the maximum (all the same)

10 Transportation cost and distance
cf is independent of v (items) but both cf and cv are typically functions of distance (d) cf=cs+cdd cv=c’s+c’dd Cost for n shipments: cfn+cvV csn+cddn+c’sV+c’ddV Add cost of stopping: cs(1+ns)n+cddn+c’sV+c’ddV So small we neglect it

11 Transportation cost Cost per item (divide by nvavg):
cs(1+ns)/vavg+cdd/vavg+c’s or cs(1+ns)/D’Havg+cdd/D’Havg+c’s If headways vary a lot so do shipment sizes, and therefore truck sizes, better to use consistent truck sizes (second reason to keep shipment sizes consistent)

12 Capacity Restrictions
Trans. Cost Per shipment cv cf Slope is total cost per item, lowest when truck full vmax – number of items that will fit in vehicle shipment size

13 Relationship to size Magnitude of fixed and variable cost determine most economic choice as a function of shipment size. Trans. Cost Per shipment As shipment size increases, favor lower variable and higher fixed costs. shipment size

14 Inventory Cost Captures time-value of holding product
Perishability, theft, opportunity cost of cash, insurance, shrinkage, obsolescence Usually 10-15% for electronics Value of good*interest rate*time

15 Exercise Fuel economy: 10 mpg Driver wages: $15/hour
Ignore depreciation of vehicle, insurance Speed of vehicle: 25 mph Price of fuel: $2.50 per gallon Value of goods in a truck: $100,000 Interest rate: 6% per year Time spent at DC: 3 days Handling cost at DC: $50 per truck Ignore rent, operating cost of DC Calculate one way transportation cost and one way inventory cost. 60 miles 100 miles 100 miles DC 40 miles 100 miles 50 miles 50 miles

16 Cost Comparison Transportation Inventory Handling Total Direct
3($60+$25) =$255 3($2.74) =$8.22 $0 $263.22 DC (3 days) ($36+$15)+ 2($30+$12.50) +($24+$10) =$170 $4.93+ 2($1.37)+ $1.10+ 3*($49.32) =$156.73 $150 $476.73 DC (1 days) $49.32 =$58.09 $378.09

17 Hypothetical curves Minim cost shipment frequency total transportation
inventory Shipment frequency We will identify the optimal when we talk about distribution systems

18 Cumulative Number of Items Diagram
Production (rate D’) shipments cumulative number of items An item is a fixed quantity of infinitely divisible quantity (e.g. person, parcel, case of beer) H tm Consumption (D’) arrivals time Consider units on area

19 Cumulative Number Diagram
Good for one origin/one destination problems Identify production and consumption rates Items waiting to be shipped Shipment times Shipment sizes Items waiting to be consumed Total wait time from production to consumption (if FIFO) Headway (H) Travel time Units Storage space proportional to max accumulation is D’H

20 Network Structures Trade-off inventory cost and transportation cost
Milk-run Hub and spoke (distribution center) Direct Shipping

21 Higher transportation expense
warehouse crossdocks 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

22 Exercise Inventory Pooling What is the inventory held
in the system without the distribution center? in the system with the distribution center? 60 miles 100 miles 100 miles DC 40 miles 100 miles 50 miles 50 miles

23 Inventory Aggregation
Store 1 Store 2 Store 3 Average demand 10 units/day 20 units/day 30 units/day Standard deviation of demand 2 units/day 4 units/day 6 units/day Calculate number required on hand if held at 3 stores, central facility. Online retailers as well as traditional retailers Typically increases transportation cost (think outbound, but who pays?)

24 Inventory Management Improve service level Reduce logistics cost
Cope with randomness and seasonality Speculate on price Overcoming inefficiencies in managing the logistics system


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