Lecture 5 UpdatedMaysoon Isleem

As a policy, the inventory level is reviewed periodically and new items are ordered from a supplier, if necessary.

** When items are ordered, the facility incurs an ordering cost that is the sum of a fixed setup cost independent of the amount ordered plus an item cost proportional to the number of items ordered.

This periodic inventory review policy is defined by two parameters, conventionally denoted s and S.

A simple inventory system

s is the minimum inventory level | if at the time of review the current inventory level is below the threshold s then an order will be placed with the supplier to replenish the inventory. If the current inventory level is at or above s then no order will be placed.

S is the maximum inventory level | when an order is placed, the amount ordered is the number of items required to bring the inventory back up to the level S.

The (s; S) parameters are constant in time with 0 ≤ s < S.

A simple inventory system

Conceptual Model:

Periodic Inventory Review• Inventory review is periodic• Items are ordered, if necessary, only at review times• (s, S) are the min,max inventory levels, 0 ≤ s < S• We assume periodic inventory review• Search for (s, S) that minimize cost

Transaction Reporting• Inventory review after each transaction• Significant labor may be required• Less likely to experience shortage

A simple inventory system

Conceptual Model:

Inventory System Costs• Holding cost: for items in inventory• Shortage cost: for unmet demand• Setup cost: fixed cost when order is placed• Item cost: per-item order cost• Ordering cost: sum of setup and item costs

Additional Assumptions• Back ordering is possible• No delivery lag• Initial inventory level is S• Terminal inventory level is S

A simple inventory system

(Because we have assumed that back ordering is possible, if the demand during the ith time interval is greater than the inventory level at the beginning of the interval (plus the amount ordered, if any)

A simple inventory system

A simple inventory system

Time evolution of inventory level

Let (s, S) = (20, 60) and consider n = 12 time intervals

SIS with sample demands

we must address the issue of what statistics should be computed to measure the performance of a simple inventory system.

our objective is to analyze these statistics and, by so doing, better understand how the system operates.

Average demand and average order

Output statistics

*For the example￣ d = ￣ o = 305/12 ≃ 25.42 items per time interval.

Flow Balance

Flow BalanceAverage demand and order must be equal

• Ending inventory level is S• Over the simulated period, all demand is satisfied• Average “flow” of items in equals average “flow” of items out

• The inventory system is flow balanced

Constant Demand Rate

The holding cost and shortage cost are proportional to time- averaged inventory levels .

To compute these averages it is necessary to know the inventory level for all t, not just at the inventory review times.

Therefore, we assume that the demand rate is constant between review times so that the continuous time evolution of the inventory level is piecewise linear

Constant Demand Rate

Inventory Level As A Function Of Time

Inventory level at any time t is an integer l(t) should be rounded to an integer value l(t) is a stair-step, rather than linear, function

Inventory Decrease Is Not Linear

Time-Averaged Inventory Level

Case 2: If l (t) becomes negative at some time

•￣ l+i is the time-averaged holding level

•￣ l−i is the time-averaged shortage level

Case 1: No Back Ordering

Case 1: No Back Ordering

Case2: Back Ordering

Case2: Back Ordering

Time-averaged holding level and time-averaged shortage level

Time -Averaged Inventory Level

The time-averaged inventory level is

sis1 is a trace-driven computational model of the SIS Computes the statistics ￣ d, ￣ o, ￣ l +, ￣ l − and the order frequency ￣ u

Computational Model

Consistency check: compute ￣ o and ￣ d separately, then compare

Example 1.3.4: Executing SIS1

Operating Costs

Automobile dealership that uses weekly periodic inventory review

The facility is the showroom and surrounding areas

The items are new cars

The supplier is the car manufacturer “...customers are people convinced by clever advertising that their lives will be improved significantly if they purchase a new car from this dealer.” (S. Park)

Simple (one type of car) inventory system

Case Study

Limited to a maximum of S = 80 cars Inventory reviewed every Monday If inventory falls below s = 20, order cars sufficient to restore to S For now, ignore delivery lag

Costs:

Case Study

The average operating costs per time interval are

Per-Interval Average Operating Costs

The average total operating cost per time interval is their sum

For the stats and costs of the hypothetical dealership:

Per-Interval Average Operating Costs

By varying s (and possibly S), an optimal policy can be determined Optimal minimum average cost⇐⇒ Note that ￣ o = ￣ d, and ￣ d depends only on the demands Hence, item cost is independent of (s, S) Average dependent cost is avg setup cost + avg holding cost + avg

shortage cost Let S be fixed, and let the demand sequence be fixed If s is systematically increased, we expect:

◦ average setup cost and holding cost will increase as s increases◦ average shortage cost will decrease as s increases◦ average dependent cost will have ‘U’ shape, yielding an optimum

Cost Minimization

Simulation Results