Inventory Control Overview

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Presentation transcript:

Inventory Control Overview Doctrine and Variables Basic EOQ Model Special EOQ Models Reorder Point Models Computer Applications Applied Management Science for Decision Making, 1e © 2012 Pearson Prentice-Hall, Inc. Philip A. Vaccaro , PhD

Why Inventory Control Models? It is not always possible for a firm to fax, e-mail, or telephone an inventory order to an external supplier and expect to receive that order within a two-hour time frame.

History Developed in 1912 by Ford Whitman Harris, a production engineer at Westinghouse, the U.S. electrical goods manufacturer. Engineer, inventor, author, and patent attorney. No formal education beyond high school. Calculus-based models that allow the firm to develop an inventory control doctrine for each material or component stocked.

History In 1913, the journal, Factory: The Magazine of Management , published an article by Harris. Dealing with small copper components, the article showed how mathematics could be used to identify the least-cost production run that balanced the cost of storing the output against the cost of setting up the production run.

Inventory Control Doctrine Objective ORDER or PRODUCE SUFFICIENT INVENTORIES AVOID EXCESSIVE CARRY COSTS + STOCKOUT TO MINIMIZE ORDERING or SETUP COSTS DEVELOPED FOR EACH ITEM STOCKED

Inventory Control Doctrine Elements How much to buy or make each time the need arises for a material, component, or product When to buy or make each time the need arises for a material, part, or product

“WHEN” Predetermined Specific time Level of Stockage interval “Buy 50 units when the inventory account balance falls to 17 units” “Buy 50 units every two weeks”

Some Inventory Control Variables D or DA H or CH S or K or Co R or ROP L d P or U Q* or EOQ

Variable Interpretations SERVICE SECTOR MANUFACTURING Q* or EOQ is the optimal purchase amount from an outside vendor Q* or EOQ is the optimal production run or lot size * ( ECONOMIC ORDER QUANTITY )

Variable Interpretations SERVICE SECTOR MANUFACTURING D or DA is either: Annual wholesaler demand or Annual internal demand from sister divisions within the firm D or DA is the external annual customer demand

Variable Interpretations SERVICE SECTOR S, K, Co is the fixed administrative cost of ordering Q* regardless of the amount MANUFACTURING S, K, Co is the setup cost for Q* - Equipment Resets - Worker Preps - Lost Productivity - Product Scrappage and Rework Purchase Forms Supervisor Approvals Shipping Costs Delivery Inspections Stocking Costs Accounts Payable Processing

Variable Interpretations + SERVICE SECTOR MANUFACTURING H or CH is the carrying or holding cost: the cost of storing one unit for one year SALARIES AND WAGES FOR WAREHOUSE EMPLOYEES WAREHOUSE PAPER AND FORMS WAREHOUSE DEPRECIATION MATERIALS HANDLING COST OF CAPITAL OBSOLESCENCE INSURANCE SPOILAGE UTILITIES TAXES THEFT

EOQ Model Assumptions AND LIMITATIONS Daily, weekly, monthly, and annual demand are known and constant. No stockouts are allowed. No backordering is allowed. No physical limits on warehouse capacity. Lead time is constant. Order quantity is received all at once. Unit purchase price or manufacturing cost remains fixed. THE ORIGINAL 1912 MODEL

Optimal Q or EOQ Formula Constant Annual Demand Optimal Order or Production Run Amount √ Q* = 2DS H Annual Order or Setup Cost Annual Carry Cost Per Unit

√ √ EOQ Formula Example = 490,000 = 700 units Given DA = 5,000 units H = $1.00 S = $49.00 √ Q* / EOQ = (2)(5000)(49.00) 1.00 = 490,000 = 700 units √

Basic EOQ and TVC Model

TO SELECT THE INVENTORY CONTROL MODELS

WE CHOOSE THE 1st SUB MENU ( EOQ )

THE DIALOGUE BOX APPEARS

( UNIT COST NEED NOT BE SPECIFIED ) ANNUAL DEMAND = 5,000 UNITS ORDER COST = $49.00 CARRY COST PER UNIT = $1.00 ( UNIT COST NEED NOT BE SPECIFIED )

EOQ Optimal Order Quantity

OPTIMAL ‘Q’ ANNUAL COSTS TOTAL VARIABLE COST CARRY COST ORDER COST or SETUP COST

Total Variable Cost ( TVC ) The cost of each “ Q “ – optimal or non-optimal H ANNUAL CARRY COSTS S ANNUAL ORDER / SETUP COSTS TVC TOTAL VARIABLE COSTS + = THIS COST CHANGES WITH EVERY POSSIBLE VALUE OF Q / EOQ , HENCE THE NAME

What Happens at Q* / EOQ EQUAL Annual Annual Order Carry Costs Setup …….AND TOTAL VARIABLE COST ( TVC ) IS MINIMIZED !

THE INVENTORY COST TRADEOFF Total Variable Costs TVC The Point of Parity Annual Order / Setup Costs Annual Carry Costs UNITS ∞ Q* / EOQ Cost

Total Variable Cost ( TVC ) Formula TVC = Q x H + D x S 2 Q Annual Carry Cost ( H ) Annual Order / Setup Cost ( S )

TVC Formula Example 200 x .50 + 1000 x 10.00 TVC = 2 200 Given DA = 1,000 units H = $.50 S = $10.00 and Q* ( or any Q ) = 200 units 200 x .50 + 1000 x 10.00 2 200 TVC = [ $50.00 ] + [ $50.00 ] $100.00

TO COMPUTE THE TOTAL VARIABLE COST, WE FIRST FIND OPTIMAL Q (EOQ)

ANNUAL DEMAND = 1,000 ORDERING COST = $10.00 CARRY COST PER UNIT = $.50

Annual Order/Setup Cost Annual Carry Cost Total Variable Cost

Annual Order/Setup Cost Total Variable Cost Annual Carry Cost Annual Order/Setup Cost

The Reorder Point ( ROP ) WHAT IT IS PURPOSE Reduces or eliminates the probability of an inventory stockout during the reorder waiting period ( leadtime ) The level of inventory stock that triggers a reorder of the Q / EOQ *

Variable Interpretations SERVICE SECTOR MANUFACTURING Lead time ( L ) is the period between ordering and receiving purchased items Lead time ( L ) is the period between starting and ending the item’s production run

ROP = d x L Reorder Point Formula LEAD TIME DEMAND DAYS WEEKS MONTHS LEAD TIME ROP = d x L DAILY WEEKLY MONTHLY DEMAND THE ORIGINAL 1912 FORMULA

Reorder Point Example ROP = [ d x L ] = [ 8 x 3 ] = 24 units If the firm must wait 3 days for an order to arrive, during which time, the daily average demand is 8 units, then: ROP = [ d x L ] = [ 8 x 3 ] = 24 units Reorder when there are 24 units still left in the account balance

IMPORTANT ADVICE There is no relationship between the Q* (EOQ) and the ROP (R) Each is computed separately The ROP is never an optimal value It is impossible to eliminate stockouts entirely

The Inventory Cycle Chart Graphically depicts the relationship between: Q* / EOQ ROP d L Cycle charts enhance understanding of the basic inventory concepts

The Inventory Cycle Chart LEVEL PICKET FENCE VERSION Q* Q* Q* CYCLE 1 CYCLE 2 CYCLE 3 d d d ROP ROP ROP ELAPSED TIME UNITS L L L

The Inventory Cycle Chart LEVEL PICKET FENCE VERSION Q* = 100 Q* = 100 Q* = 100 CYCLE 1 CYCLE 2 CYCLE 3 d d d ROP = 17 ROP = 17 ROP = 17 ELAPSED TIME UNITS L L L

The Average Inventory Concept [ Q*/ 2 ] or [ Q / 2 ] = AVERAGE INVENTORY AVERAGE INVENTORY PER CYCLE AVERAGE INVENTORY PER YEAR = IF YOU NEED 5000 UNITS ANNUALLY AND ORDER 500 UNITS AT A TIME, AVERAGE INVENTORY IS 500/2 = 250 UNITS PER CYCLE AS WELL AS PER YEAR, BECAUSE THERE CAN ONLY BE ZERO TO 500 UNITS IN THE ACCOUNT BALANCE AT ANY GIVEN TIME OF THE YEAR!

Variable Interpretations SERVICE SECTOR MANUFACTURING P or U is the wholesale price per unit to the retailer P or U is the manufacturing cost per unit direct materials direct labor applied overhead

The Quantity Discount Model USED WHENEVER THE FIRM IS GIVEN THE OPTION OF PURCHASING GOODS AT SEVERAL LOWER UNIT PRICES

Quantity Discount Model Expectation That the unit price discount offered by the vendor is sufficient to offset the additional carry costs of the larger order quantity we must certainly buy in order to receive this discount.

Two Special Features The variable “H” QUANTITY DISCOUNT MODEL The variable “H” must be computed as a function of : I x P A new expression P x D WHERE “P” IS THE UNIT PRICE MULTIPLIED BY THE ANNUAL DEMAND FOR THE UNIT THIS IS, THE AMOUNT WE ACTUALLY PAY FOR THE GOODS THEMSELVES ANNUALLY WHERE “I” IS THE UNIT CARRY COST EXPRESSED AS A FIXED PERCENTAGE OF A CHANGEABLE UNIT PRICE

Changing Carry Cost per Unit If unit price = $5.00 H = $1.00 ( $5.00 x .20 ) If unit price = $4.80 H = $.96 ( $4.80 x .20 ) If unit price = $4.75 H = $.95 ( $4.75 x .20 ) ASSUMING I = 20%

Unit Carry Costs Really Do Change with Unit Price Obsolescence costs are less / more Spoilage costs are less / more Cost of capital to purchase the units is less / more Inventory taxes are less / more

Quantity Discount Model EXAMPLE Quantity Discount Unit Price 1-999 units 0% $5.00 1000-1999 units 4% $4.80 2000 or more units 5% $4.75 THE VENDOR’S PRICE SCHEDULE Annual Demand = 5,000 units Order Cost = $49.00 Carry Cost as Percentage of Unit Price = 20%

Quantity Discount Model EXAMPLE Step 1 – Compute Q* at each unit price, starting with the lowest price √ Q1* = 2 (5000) (49.00) (.20)(4.75) = 718 units

Quantity Discount Model EXAMPLE Step 1 – Compute Q* at each unit price, with the next lowest price √ Q2* = 2 (5000) (49.00) (.20)(4.80) = 714 units

Quantity Discount Model EXAMPLE Step 1 – Compute Q* at each unit price, with the next lowest price √ Q3* = 2 (5000) (49.00) (.20)(5.00) = 700 units

Quantity Discount Model EXAMPLE Step 2 – Recompute the Q*s where necessary Q1* = 718 is adjusted to Q1 = 2,000 units Q2* = 714 is adjusted to Q2 = 1,000 units Q3* = 700 need not be adjusted ( to qualify for the 5% discount ) ( to qualify for the 4% discount ) ( to qualify for the 0% discount )

Total Cost ( TC ) Formula Total Variable Costs ( TVC ) TC = [ (Q/2) x H ] + [ (D/Q) x S ] + [ P x D ] Annual Carry Costs (H) Annual Order / Setup Costs (S) Annual Fixed or Material Cost (FC)

Quantity Discount Model TOTAL COST OF Q1 = 2000 UNITS TC = [ (Q/2) x H ] + [ (D/Q) x S ] + [ P x D ] ANNUAL CARRY COST ANNUAL ORDER COST ANNUAL FIXED COST = [ (2000/2) x (.20)($4.75) ] + [ (5000/2000) x $49.00 ] + [ $4.75 x 5000 ] = [ $950.00 ] + [ $122.50 ] + [ $23,750.00 ] = $24,822.50

Quantity Discount Model TOTAL COST OF Q2 = 1000 UNITS TC = [ (Q/2) x H ] + [ (D/Q) x S ] + [ P x D ] = [ (1000/2) x (.20)($4.80) ] + [ (5000/1000) x $49.00 ] + [ $4.80 x 5000 ] = [ $480.00 ] + [ $245.00 ] + [ $24,000.00 ] = $24,725.00

Quantity Discount Model TOTAL COST OF Q3 = 700 UNITS TC = [ (Q/2) x H ] + [ (D/Q) x S ] + [ P x D ] = [ (700/2) x (.20)($5.00) ] + [ (5000/700) x $49.00 ] + [ $5.00 x 5000 ] = [ $350.00 ] + [ $350.00 ] + [ $25,000.00 ] = $25,700.00

Quantity Discount Model EXAMPLE SUMMARY Candidates Annual Carry Cost Order/Setup Material TOTAL COST Q1 2000 units $950.00 $122.50 $23,750. $24,822.50 Q2 1000 units $480.00 $245.00 $24,000. $24,725.00 Q3 700 units $350.00 $25,000. $25,700.00

Quantity Discount Model EXAMPLE SUMMARY Candidates Annual Carry Cost Order/Setup Material TOTAL COST Q1 2000 units $950.00 $122.50 $23,750. $24,822.50 Q2 1000 units $480.00 $245.00 $24,000. $24,725.00 Q3 700 units $350.00 $25,000. $25,700.00 THE LOWEST TOTAL COST

Quantity Discount Model EXAMPLE Step 4 – Select the “Q” with the lowest total cost (TC) SINCE Q2 ( 1000 units ) HAS THE LOWEST TOTAL COST, THE PURCHASING DECISION IS: TAKE A DISCOUNT SELECT THE 4% DISCOUNT

Quantity Discount Model

SELECT THE QUANTITY DISCOUNT OPTION

THERE ARE THREE UNIT PRICE OPTIONS IN OUR PROBLEM

THE DATA TABLE APPEARS WITH 3 PRICE RANGES PROVIDED FOR

ANNUAL DEMAND = 5,000 ORDER COST = $49.00 HOLDING COST = 20% 1 to 999 units - $5.00 1,000 to 1,999 units - $4.80 2,000 units or more - $4.75 VENDOR PRICE SCHEDULE

WE PURCHASE 1,000 UNITS AT A TIME AT $4.80 EACH, FOR THE LOWEST OVERALL TOTAL COSTS

THE LOWEST TOTAL COSTS $24,725.00 WITH THE 4% DISCOUNT

THE DISCONTINUOUS TOTAL COST CURVE TYPICAL OF QUANTITY DISCOUNT CASES

Basic EOQ and TVC Formula

Template and Sample Data

Unit price, daily demand, and lead time do not need to be specified

Sensitivity Analysis includes the optimal solution

Quantity Discount Formula

Template and Sample Data

Optimal Solution Q=1,000

Sensitivity Analysis

Inventory Control Theory End of 1st Session Inventory Control Theory Applied Management Science for Decision Making, 1e © 2012 Pearson Prentice-Hall, Inc. Philip A. Vaccaro , PhD