Download presentation

Presentation is loading. Please wait.

Published byLucas Blackson Modified over 3 years ago

1
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edwards University

2
2 2 Slide © 2008 Thomson South-Western. All Rights Reserved Chapter 10, Part A Inventory Models: Deterministic Demand n Economic Order Quantity (EOQ) Model n Economic Production Lot Size Model n Inventory Model with Planned Shortages n Quantity Discounts for the EOQ Model

3
3 3 Slide © 2008 Thomson South-Western. All Rights Reserved Inventory Models n The study of inventory models is concerned with two basic questions: How much should be ordered each time How much should be ordered each time When should the reordering occur When should the reordering occur n The objective is to minimize total variable cost over a specified time period (assumed to be annual in the following review).

4
4 4 Slide © 2008 Thomson South-Western. All Rights Reserved Inventory Costs n Ordering cost -- salaries and expenses of processing an order, regardless of the order quantity n Holding cost -- usually a percentage of the value of the item assessed for keeping an item in inventory (including finance costs, insurance, security costs, taxes, warehouse overhead, and other related variable expenses) n Backorder cost -- costs associated with being out of stock when an item is demanded (including lost goodwill) n Purchase cost -- the actual price of the items n Other costs

5
5 5 Slide © 2008 Thomson South-Western. All Rights Reserved Deterministic Models n The simplest inventory models assume demand and the other parameters of the problem to be deterministic and constant. n The deterministic models covered in this chapter are: Economic order quantity (EOQ) Economic order quantity (EOQ) Economic production lot size Economic production lot size EOQ with planned shortages EOQ with planned shortages EOQ with quantity discounts EOQ with quantity discounts

6
6 6 Slide © 2008 Thomson South-Western. All Rights Reserved Economic Order Quantity (EOQ) n The most basic of the deterministic inventory models is the economic order quantity (EOQ). n The variable costs in this model are annual holding cost and annual ordering cost. n For the EOQ, annual holding and ordering costs are equal.

7
7 7 Slide © 2008 Thomson South-Western. All Rights Reserved Economic Order Quantity n Assumptions Demand is constant throughout the year at D items per year. Demand is constant throughout the year at D items per year. Ordering cost is $ C o per order. Ordering cost is $ C o per order. Holding cost is $ C h per item in inventory per year. Holding cost is $ C h per item in inventory per year. Purchase cost per unit is constant (no quantity discount). Purchase cost per unit is constant (no quantity discount). Delivery time (lead time) is constant. Delivery time (lead time) is constant. Planned shortages are not permitted. Planned shortages are not permitted.

8
8 8 Slide © 2008 Thomson South-Western. All Rights Reserved Economic Order Quantity n Formulas Optimal order quantity: Q * = 2 DC o / C h Optimal order quantity: Q * = 2 DC o / C h Number of orders per year: D / Q * Number of orders per year: D / Q * Time between orders (cycle time): Q */ D years Time between orders (cycle time): Q */ D years Total annual cost: [(1/2) Q * C h ] + [ DC o / Q *] Total annual cost: [(1/2) Q * C h ] + [ DC o / Q *] (holding + ordering) (holding + ordering)

9
9 9 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Barts Barometer Business n Economic Order Quantity Model Bart's Barometer Business is a retail outlet that deals exclusively with weather equipment. Bart is trying to decide on an inventory and reorder policy for home barometers. Barometers cost Bart $50 each and Barometers cost Bart $50 each and demand is about 500 per year distributed fairly evenly throughout the year.

10
10 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Barts Barometer Business n Economic Order Quantity Model Reordering costs are $80 per order and holding costs are figured at 20% of the cost of the item. BBB is open 300 days a year (6 days a week and closed two weeks in August). Lead time is 60 working days.

11
11 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Barts Barometer Business n Total Variable Cost Model Total Costs = (Holding Cost) + (Ordering Cost) Total Costs = (Holding Cost) + (Ordering Cost) TC = [ C h ( Q /2)] + [ C o ( D / Q )] TC = [ C h ( Q /2)] + [ C o ( D / Q )] = [.2(50)( Q /2)] + [80(500/ Q )] = 5 Q + (40,000/ Q )

12
12 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Barts Barometer Business n Optimal Reorder Quantity Q * = 2 DC o / C h = 2(500)(80)/10 = 89.44 90 Q * = 2 DC o / C h = 2(500)(80)/10 = 89.44 90 n Optimal Reorder Point Lead time is m = 60 days and daily demand is d = 500/300 or 1.667. Lead time is m = 60 days and daily demand is d = 500/300 or 1.667. Thus the reorder point r = (1.667)(60) = 100. Bart should reorder 90 barometers when his inventory position reaches 100 (that is 10 on hand and one outstanding order). Thus the reorder point r = (1.667)(60) = 100. Bart should reorder 90 barometers when his inventory position reaches 100 (that is 10 on hand and one outstanding order).

13
13 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Barts Barometer Business n Number of Orders Per Year Number of reorder times per year = (500/90) = 5.56 or once every (300/5.56) = 54 working days (about every 9 weeks). n Total Annual Variable Cost TC = 5(90) + (40,000/90) = 450 + 444 = $894

14
14 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Barts Barometer Business Well now use a spreadsheet to implement the Economic Order Quantity model. Well confirm our earlier calculations for Barts problem and perform some sensitivity analysis. This spreadsheet can be modified to accommodate other inventory models presented in this chapter.

15
15 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Barts Barometer Business n Partial Spreadsheet with Input Data

16
16 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Barts Barometer Business n Partial Spreadsheet Showing Formulas for Output

17
17 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Barts Barometer Business n Partial Spreadsheet Showing Output

18
18 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Barts Barometer Business n Summary of Spreadsheet Results A 16.15% negative deviation from the EOQ resulted in only a 1.55% increase in the Total Annual Cost. A 16.15% negative deviation from the EOQ resulted in only a 1.55% increase in the Total Annual Cost. Annual Holding Cost and Annual Ordering Cost are no longer equal. Annual Holding Cost and Annual Ordering Cost are no longer equal. The Reorder Point is not affected, in this model, by a change in the Order Quantity. The Reorder Point is not affected, in this model, by a change in the Order Quantity.

19
19 Slide © 2008 Thomson South-Western. All Rights Reserved Economic Production Lot Size n The economic production lot size model is a variation of the basic EOQ model. n A replenishment order is not received in one lump sum as it is in the basic EOQ model. n Inventory is replenished gradually as the order is produced (which requires the production rate to be greater than the demand rate). n This model's variable costs are annual holding cost and annual set-up cost (equivalent to ordering cost). n For the optimal lot size, annual holding and set-up costs are equal.

20
20 Slide © 2008 Thomson South-Western. All Rights Reserved Economic Production Lot Size n Assumptions Demand occurs at a constant rate of D items per year. Demand occurs at a constant rate of D items per year. Production rate is P items per year (and P > D ). Production rate is P items per year (and P > D ). Set-up cost: $ C o per run. Set-up cost: $ C o per run. Holding cost: $ C h per item in inventory per year. Holding cost: $ C h per item in inventory per year. Purchase cost per unit is constant (no quantity discount). Purchase cost per unit is constant (no quantity discount). Set-up time (lead time) is constant. Set-up time (lead time) is constant. Planned shortages are not permitted. Planned shortages are not permitted.

21
21 Slide © 2008 Thomson South-Western. All Rights Reserved Economic Production Lot Size n Formulas Optimal production lot-size: Optimal production lot-size: Q * = 2 DC o /[(1- D / P ) C h ] Q * = 2 DC o /[(1- D / P ) C h ] Number of production runs per year: D / Q * Number of production runs per year: D / Q * Time between set-ups (cycle time): Q */ D years Time between set-ups (cycle time): Q */ D years Total annual cost: [(1/2)(1- D / P ) Q * C h ] + [ DC o / Q *] Total annual cost: [(1/2)(1- D / P ) Q * C h ] + [ DC o / Q *] (holding + ordering) (holding + ordering)

22
22 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Non-Slip Tile Co. n Economic Production Lot Size Model Non-Slip Tile Company (NST) has been using production runs of 100,000 tiles, 10 times per year to meet the demand of 1,000,000 tiles annually. The set-up cost is $5,000 per run and holding cost is estimated at 10% of the manufacturing cost of $1 per tile. The production capacity of the machine is 500,000 tiles per month. The factory is open 365 days per year.

23
23 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Non-Slip Tile Co. n Total Annual Variable Cost Model This is an economic production lot size problem with D = 1,000,000, P = 6,000,000, C h =.10, C o = 5,000 D = 1,000,000, P = 6,000,000, C h =.10, C o = 5,000 TC = (Holding Costs) + (Set-Up Costs) TC = (Holding Costs) + (Set-Up Costs) = [ C h ( Q /2)(1 - D / P )] + [ DC o / Q ] = [ C h ( Q /2)(1 - D / P )] + [ DC o / Q ] =.04167 Q + 5,000,000,000/ Q =.04167 Q + 5,000,000,000/ Q

24
24 Slide © 2008 Thomson South-Western. All Rights Reserved n Optimal Production Lot Size Q * = 2 DC o /[(1 - D / P ) C h ] Q * = 2 DC o /[(1 - D / P ) C h ] = 2(1,000,000)(5,000) /[(.1)(1 - 1/6)] = 2(1,000,000)(5,000) /[(.1)(1 - 1/6)] = 346,410 = 346,410 n Number of Production Runs Per Year D / Q * = 2.89 times per year Example: Non-Slip Tile Co.

25
25 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Non-Slip Tile Co. n Total Annual Variable Cost How much is NST losing annually by using their present production schedule? How much is NST losing annually by using their present production schedule? Optimal TC =.04167(346,410) + 5,000,000,000/346,410 = $28,868 Current TC =.04167(100,000) + 5,000,000,000/100,000 Current TC =.04167(100,000) + 5,000,000,000/100,000 = $54,167 Difference = 54,167 - 28,868 = $25,299 Difference = 54,167 - 28,868 = $25,299

26
26 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Non-Slip Tile Co. n Idle Time Between Production Runs There are 2.89 cycles per year. Thus, each cycle lasts (365/2.89) = 126.3 days. The time to produce 346,410 per run = (346,410/6,000,000)365 = 21.1 days. Thus, the machine is idle for: 126.3 - 21.1 = 105.2 days between runs. 126.3 - 21.1 = 105.2 days between runs.

27
27 Slide © 2008 Thomson South-Western. All Rights Reserved n Maximum Inventory Current Policy: Maximum inventory = (1- D / P ) Q * = (1- 1/6 )100,000 83,333 = (1- 1/6 )100,000 83,333 Optimal Policy: Optimal Policy: Maximum inventory = (1- 1/6 )346,410 = 288,675 n Machine Utilization Machine is producing D / P = 1/6 of the time. Example: Non-Slip Tile Co.

28
28 Slide © 2008 Thomson South-Western. All Rights Reserved EOQ with Planned Shortages n With the EOQ with planned shortages model, a replenishment order does not arrive at or before the inventory position drops to zero. n Shortages occur until a predetermined backorder quantity is reached, at which time the replenishment order arrives. n The variable costs in this model are annual holding, backorder, and ordering. n For the optimal order and backorder quantity combination, the sum of the annual holding and backordering costs equals the annual ordering cost.

29
29 Slide © 2008 Thomson South-Western. All Rights Reserved EOQ with Planned Shortages n Assumptions Demand occurs at a constant rate of D items/year. Demand occurs at a constant rate of D items/year. Ordering cost: $ C o per order. Ordering cost: $ C o per order. Holding cost: $ C h per item in inventory per year. Holding cost: $ C h per item in inventory per year. Backorder cost: $ C b per item backordered per year. Backorder cost: $ C b per item backordered per year. Purchase cost per unit is constant (no qnty. discount). Purchase cost per unit is constant (no qnty. discount). Set-up time (lead time) is constant. Set-up time (lead time) is constant. Planned shortages are permitted (backordered demand units are withdrawn from a replenishment order when it is delivered). Planned shortages are permitted (backordered demand units are withdrawn from a replenishment order when it is delivered).

30
30 Slide © 2008 Thomson South-Western. All Rights Reserved EOQ with Planned Shortages n Formulas Optimal order quantity: Optimal order quantity: Q * = 2 DC o / C h ( C h + C b )/ C b Q * = 2 DC o / C h ( C h + C b )/ C b Maximum number of backorders: Maximum number of backorders: S * = Q *( C h /( C h + C b )) S * = Q *( C h /( C h + C b )) Number of orders per year: D / Q * Number of orders per year: D / Q * Time between orders (cycle time): Q */ D years Time between orders (cycle time): Q */ D years Total annual cost: Total annual cost: [ C h ( Q *- S *) 2 /2 Q *] + [ DC o / Q *] + [ S *2 C b /2 Q *] [ C h ( Q *- S *) 2 /2 Q *] + [ DC o / Q *] + [ S *2 C b /2 Q *] (holding + ordering + backordering) (holding + ordering + backordering)

31
31 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Hervis Rent-a-Car n EOQ with Planned Shortages Model Hervis Rent-a-Car has a fleet of 2,500 Rockets serving the Los Angeles area. All Rockets are maintained at a central garage. On the average, eight Rockets per month require a new engine. Engines cost $850 each. There is also a $120 order cost (independent of the number of engines ordered).

32
32 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Hervis Rent-a-Car n EOQ with Planned Shortages Model Hervis has an annual holding cost rate of 30% on engines. It takes two weeks to obtain the engines after they are ordered. For each week a car is out of service, Hervis loses $40 profit.

33
33 Slide © 2008 Thomson South-Western. All Rights Reserved n Optimal Order Policy D = 8 x 12 = 96; C o = $120; C h =.30(850) = $255; C b = 40 x 52 = $2080 Q * = 2 DC o / C h ( C h + C b )/ C b Q * = 2 DC o / C h ( C h + C b )/ C b = 2(96)(120)/255 x (255+2080)/2080 = 2(96)(120)/255 x (255+2080)/2080 = 10.07 10 = 10.07 10 S * = Q *( C h /( C h + C b )) S * = Q *( C h /( C h + C b )) = 10(255/(255+2080)) = 1.09 1 = 10(255/(255+2080)) = 1.09 1 Example: Hervis Rent-a-Car

34
34 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Hervis Rent-a-Car n Optimal Order Policy (continued) Demand is 8 per month or 2 per week. Since lead time is 2 weeks, lead time demand is 4. Thus, since the optimal policy is to order 10 to arrive when there is one backorder, the order should be placed when there are 3 engines remaining in inventory.

35
35 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Hervis Rent-a-Car n Stockout: When and How Long Question: How many days after receiving an order does Hervis run out of engines? How long is Hervis without any engines per cycle?

36
36 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Hervis Rent-a-Car n Stockout: When and How Long Answer Inventory exists for C b /( C b + C h ) = 2080/(255+2080) =.8908 of the order cycle. (Note, ( Q *- S *)/ Q * =.8908 also, before Q * and S * are rounded.) An order cycle is Q */ D =.1049 years = 38.3 days. Thus, Hervis runs out of engines.8908(38.3) = 34 days after receiving an order. Hervis is out of stock for approximately 38 - 34 = 4 days.

37
37 Slide © 2008 Thomson South-Western. All Rights Reserved EOQ with Quantity Discounts n The EOQ with quantity discounts model is applicable where a supplier offers a lower purchase cost when an item is ordered in larger quantities. n This model's variable costs are annual holding, ordering and purchase costs. n For the optimal order quantity, the annual holding and ordering costs are not necessarily equal.

38
38 Slide © 2008 Thomson South-Western. All Rights Reserved EOQ with Quantity Discounts n Assumptions Demand occurs at a constant rate of D items/year. Demand occurs at a constant rate of D items/year. Ordering Cost is $ C o per order. Ordering Cost is $ C o per order. Holding Cost is $ C h = $ C i I per item in inventory per year (note holding cost is based on the cost of the item, C i ). Holding Cost is $ C h = $ C i I per item in inventory per year (note holding cost is based on the cost of the item, C i ). Purchase Cost is $ C 1 per item if the quantity ordered is between 0 and x 1, $ C 2 if the order quantity is between x 1 and x 2, etc. Purchase Cost is $ C 1 per item if the quantity ordered is between 0 and x 1, $ C 2 if the order quantity is between x 1 and x 2, etc. Delivery time (lead time) is constant. Delivery time (lead time) is constant. Planned shortages are not permitted. Planned shortages are not permitted.

39
39 Slide © 2008 Thomson South-Western. All Rights Reserved EOQ with Quantity Discounts n Formulas Optimal order quantity: the procedure for determining Q * will be demonstrated Optimal order quantity: the procedure for determining Q * will be demonstrated Number of orders per year: D / Q * Number of orders per year: D / Q * Time between orders (cycle time): Q */ D years Time between orders (cycle time): Q */ D years Total annual cost: [(1/2) Q * C h ] + [ DC o / Q *] + DC Total annual cost: [(1/2) Q * C h ] + [ DC o / Q *] + DC (holding + ordering + purchase) (holding + ordering + purchase)

40
40 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Nick's Camera Shop n EOQ with Quantity Discounts Model Nick's Camera Shop carries Zodiac instant print film. The film normally costs Nick $3.20 per roll, and he sells it for $5.25. Zodiac film has a shelf life of 18 months. Nick's average sales are 21 rolls per week. His annual inventory holding cost rate is 25% and it costs Nick $20 to place an order with Zodiac.

41
41 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Nick's Camera Shop n EOQ with Quantity Discounts Model If Zodiac offers a 7% discount on orders of 400 rolls or more, a 10% discount for 900 rolls or more, and a 15% discount for 2000 rolls or more, determine Nick's optimal order quantity. -------------------- D = 21(52) = 1092; C h =.25( C i ); C o = 20 D = 21(52) = 1092; C h =.25( C i ); C o = 20

42
42 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Nick's Camera Shop n Unit-Prices Economical Order Quantities For C 4 =.85(3.20) = $2.72 For C 4 =.85(3.20) = $2.72 To receive a 15% discount Nick must order at least 2,000 rolls. Unfortunately, the film's shelf life is 18 months. The demand in 18 months (78 weeks) is 78 x 21 = 1638 rolls of film. If he ordered 2,000 rolls he would have to scrap 372 of them. This would cost more than the 15% discount would save.

43
43 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Nick's Camera Shop n Unit-Prices Economical Order Quantities For C 3 =.90(3.20) = $2.88 For C 3 =.90(3.20) = $2.88 Q 3 * = 2 DC o / C h = 2(1092)(20)/[.25(2.88)] = 246.31 (not feasible) Q 3 * = 2 DC o / C h = 2(1092)(20)/[.25(2.88)] = 246.31 (not feasible) The most economical, feasible quantity for C 3 is 900. The most economical, feasible quantity for C 3 is 900. For C 2 =.93(3.20) = $2.976 For C 2 =.93(3.20) = $2.976 Q 2 * = 2 DC o / C h = 2(1092)(20)/[.25(2.976)] = 242.30 Q 2 * = 2 DC o / C h = 2(1092)(20)/[.25(2.976)] = 242.30 (not feasible) (not feasible) The most economical, feasible quantity for C 2 is 400. The most economical, feasible quantity for C 2 is 400.

44
44 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Nick's Camera Shop n Unit-Prices Economical Order Quantities For C 1 = 1.00(3.20) = $3.20 For C 1 = 1.00(3.20) = $3.20 Q 1 * = 2 DC o / C h = 2(1092)(20)/.25(3.20) = 233.67 (feasible) Q 1 * = 2 DC o / C h = 2(1092)(20)/.25(3.20) = 233.67 (feasible) When we reach a computed Q that is feasible we stop computing Q's. (In this problem we have no more to compute anyway.)

45
45 Slide © 2008 Thomson South-Western. All Rights Reserved Example: Nick's Camera Shop n Total Cost Comparison Compute the total cost for the most economical, feasible order quantity in each price category for which a Q * was computed. TC i = (1/2)( Q i * C h ) + ( DC o / Q i *) + DC i TC i = (1/2)( Q i * C h ) + ( DC o / Q i *) + DC i TC 3 = (1/2)(900)(.72) +((1092)(20)/900)+(1092)(2.88) = 3493 TC 2 = (1/2)(400)(.744)+((1092)(20)/400)+(1092)(2.976) = 3453 TC 1 = (1/2)(234)(.80) +((1092)(20)/234)+(1092)(3.20) = 3681 Comparing the total costs for 234, 400 and 900, the lowest total annual cost is $3453. Nick should order 400 rolls at a time. Comparing the total costs for 234, 400 and 900, the lowest total annual cost is $3453. Nick should order 400 rolls at a time.

46
46 Slide © 2008 Thomson South-Western. All Rights Reserved End of Chapter 10, Part A

Similar presentations

Presentation is loading. Please wait....

OK

Operations Research Inventory Management.

Operations Research Inventory Management.

© 2018 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on silicon controlled rectifier Ppt on life cycle of a star Ppt on producers consumers and decomposers Ppt on various types of web browsers and their comparative features Ppt on object-oriented concepts in java with examples Ppt on south america continent Ppt on distribution transformer monitoring system Ppt on obesity management in europe Ppt on factoring polynomials Ppt on models of business communication