PoLaT’S SECUrity
Economies of scale
Production in large batches of items is cheaper
Fixed setup costs are amortized over a large number of items
Uncertainties
Provides a buffer against uncertain demand, lead time, and supply
Speculation
Anticipation of a rise in their value or cost
Transportation
Pipeline inventories (transit invenrtories) from one location to another
Smoothing
Smoothing out an irregular demand pattern
Logistics
necessary because of the system constraints
Control Costs
Lower costs for monitoring a system
Protection against process errors
Coverage of processing irregularities or incidental manufacturing errors
DERLi toplu
Demand
Constant vs. variable demand
Known vs. random demand
Lead Time
If items are ordered from outside -> amount of time from order placement until its arrival
If items are produced internally -> amount of time required to produce a batch of items
Review Time
Continuous vs. periodic review
Continuous -> inventory level is known at all times
Periodic -> inventory level is only known at discrete points in time
Excess Demand
Demand that can not be filled immediately from stock
Backordering of demand vs. lost demand
HOP
Inventory models are mainly use cost minimization as optimization criterion
Holding cost (carrying cost, inventory cost)
costs proportional to the amount of inventory physically on hand
capital cost, storage cost, taxes, insurance, breakage cost, spoilage cost
Holding cost (h) per item & time unit
Order cost (production cost)
costs that depend on the amount of inventory ordered / produced
Fixed (setup) cost A + unit-variable cost c
Penalty cost (shortage cost, stock-out cost)
costs incurred by not having sufficient stock on hand to satisfy a demand when it occurs
Loss-of-goodwill cost: Measure of customer satisfaction
Backorders: + bookkeeping + delay costs
Lost sales: + lost profit
Penalty cost (p) per item & time unit
Inventory management determines
Inventory status determination frequency
(How often?)
Time to replenishment order placement
(When?)
Quantitiy of replenishment order
(How large?)
by mainly balancing two trade offs between cost types while obeying additional restrictions (e.g., lead time, capacities).
Two trade offs between cost types
Setup costs vs. holding costs
Holding costs vs. penalty costs
In classical inventory models
demand = external
e.g., inventory is being acquired & produced to meet the needs of a customer
Manufacturing environment (multiple level assemblies)
demand for certain parts = the result of production schedules for higher-level assemblies
(in house demand)
Production lot-sizing decisions at one level result in demand patterns at other levels
Terms inventory models (e.g., order size) and lot sizing (e.g., production quantitiy) are used interchangeably
(EOQ: Economic order quantity)
most simple and fundamental inventory model
trade-off between setup costs and holding costs
Assumptions
demand rate is known and a constant D units per unit time
Shortages are not permitted
No order lead time
entire order quantity is delivered at the same time
Q: order quantity
T: cycle length (the time between two consecutive orders)
Replenishment takes place when inventory level I(t)= 0 (zero inventory ordering)
DT: total demand required during T time units
Q= DT (replenishment takes place when inventory level I(t) = 0 -> demand required during T unit times is ordered)
Decisions, Optimal Solution (Q*, T*, K(Q*))
Decisions
Order quantity (which amount Q should be ordered?)
Cycle length (What time T should an order be placed?)
Example
? 100% deviation from optimal order quantity Q* -> only 25% cost increase! -> K(Q) (total costs per unit time) is relatively insensitive to deviations from EOQ for Q
Last changed4 months ago