Practice Problems: Chapter 1, Operations and Productivity Problem 1: Mance Fraily, the Production Manager at Ralts Mills, can currently expect his operation to produce 1000 square yards of fabric for each ton of raw cotton. Each ton of raw cotton requires 5 labor hours to process. He believes that he can buy a better quality raw cotton, which will enable him to produce 1200 square yards per ton of raw cotton with the same labor hours. What will be the impact on productivity (measured in square yards per labor-hour) if he purchases the higher quality raw cotton? Problem 2: C. A. Ratchet, the local auto mechanic, finds that it usually takes him 2 hours to diagnose and fix a typical problem. What is his daily productivity (assume an 8 hour day)? Mr. Ratchet believes he can purchase a small computer trouble-shooting device, which will allow him to find and fix a problem in the incredible (at least to his customers!) time of 1 hour. He will, however, have to spend an extra hour each morning adjusting the computerized diagnostic device. What will be the impact on his productivity if he purchases the device? Problem 3: Joanna French is currently working a total of 12 hours per day to produce 240 dolls. She thinks that by changing the paint used for the facial features and fingernails that she can increase her rate to 360 dolls per day. Total material cost for each doll is approximately $3.50; she has to invest $20 in the necessary supplies (expendables) per day; energy costs are assumed to be only $4.00 per day; and she thinks she should be making $10 per hour for her time. Viewing this from a total (multifactor) productivity perspective, what is her productivity at present and with the new paint? Problem 4: How would total (multifactor) productivity change if using the new paint raised Ms. French’s material costs by $0.50 per doll? Problem 5: If she uses the new paint, by what amount could Ms. French’s material costs increase without reducing total (multifactor) productivity? 1 ANSWERS: Problem 1: Current labor productivity = New labor productivity = 1000 sq yds = 200 sq yds per hour 1 ton*5 hours 1200 sq yds = 240 sq yds per hour 1 ton * 5 hours Productivity improves 20% = ( 240 - 200 ) / 200 = .2 Problem 2: Current productivity = 8 hours per day = 4 problems per day 2 hours per problem Productivity with computer = 7 hours per day = 7 problems per day 1 hour per problem ⎛ 7−4 3 ⎞ Productivity improves 75% ⎜ = = .75 ⎟ 4 ⎝ 4 ⎠ Problem 3: Currently Using the new paint Labor 12 hrs * $10 = $120 12 hrs * $10 = $ 120 Material 240 * $3.50 = $840 360 * $3.50 = $1260 Supplies = $ 20 = $ 20 Energy =$ 4 =$ Total Inputs = $984 = $1404 Productivity 240/984 = 0.24 360/1404 = .26 2 4 Problem 4: If the material costs increase by $0.50 per doll: Using the new paint Labor 12 hrs * $10 = $ 120 Material 360 * $4.00 = $1440 Supplies =$ 20 Energy =$ 4 Total Inputs = $1584 Productivity 360/1584 = 0.23 Problem 5: From the answer to Problem 3 we know the following: Currently Using the new paint Labor 12 hrs * $10 = $120 12 hrs * $10 = $ 120 Material 240 * $3.50 = $840 360 * $3.50 = $1260 Supplies = $ 20 = $ 20 Energy =$ 4 =$ Total Inputs = $984 = $1404 Productivity 240/984 = 0.24 4 360/1404 = .26 We want to know how high the material cost could go, using the new paint, before the productivity drops to the current level of 0.24. In mathematical terms we make the material cost a variable (X), set the new multifactor productivity value to the current level, 0.24, and solve for X. 3 360/(($12x10) + 360 $(X) + $20 + $4) = 0.24 360 = 0.24($120 + 360$(X) + $20 + $4) 360 = $28.8 + 86.4$(X) + $4.8 + $.96 325.44 = 86.4$(X) $(X)= 325.44/86.4 = $3.7666 ≅ $3.77 It follows then that the new paint could raise Materials cost by no more than approximately $0.27 (the difference between $3.77 and $3.50) before Ms. French would experience a decrease in multifactor productivity. 4 Practice Problems: Chapter 2, Operations Strategy in a Global Environment Problem 1: Identify how changes in the external environment may affect the OM strategy for a company. For example, what impact are the following factors likely to have on OM strategy? a. The occurrence of a major storm or hurricane. b. Terrorist attacks of 9/11/01. c. The much discussed decrease in the quality of American primary and secondary school systems. d. Trade Legislation such as WTO and NAFTA and changes in tariffs and quotas. e. The rapid rate at which the cost of health insurance is increasing. f. The Internet. Problem 2: Identify how the changes in the internal environment affect the OM strategy for a company. For example, what impact are the following factors likely to have on OM strategy? a. The increased use of Local and Wide Area Networks (LANs and WANs) b. An increased emphasis on service c. The increased role of women in the workplace d. The seemingly increasing rate at which both internal and external environments change. Problem 3: Operations managers are called upon to support the organization's strategy. OM does this with some combination of one of three strategies. What are these three strategies? 1 ANSWERS: Problem 1: a. A major storm or hurricane may have considerable impact on a company’s facilities and scheduling. Flooding and wind damage can make a facility unusable or significantly reduce its capacity. Stocks of raw materials, especially agricultural products, might be damaged or in short supply. The long-term availability of some materials might be significantly reduced. There may be a shortage of important services during the recovery. For example, the demand for roofers and builders is high after a major storm and they would like to be able to rapidly increase their capacity to handle the higher demand. b. Terrorist activity has forced organizations to rethink, and in many cases expand, their security systems. Firms have also had to reevaluate their supply networks and consider increasing their inventory safety stock. They may also reassess the risks of foreign locations and expansion. c. A decrease in the skill levels of Americans entering the labor market requires that organizations place more emphasis on training, turn to automation to obviate the need for human labor, and hire from outside the United States. d. WTO and NAFTA changed the rules for trading, opened new markets, and in some instances, changed the role of labor versus capital (where labor is especially low cost, emphasis often shifts from the use of capital to the use of labor). e. The increasing cost of health insurance adds significantly to the cost of labor. Some large US organizations are passing on this increased cost to the employees or reducing other parts of the benefit package in response to these pressures. f. The Internet has promoted globalization of markets, and eliminated barriers of geography and time. Problem 2: a. The increased use of LANs and WANs has, among other things, enabled new organizational structures, the movement of the locus of responsibility further down the organizational hierarchy (elimination of middle management), and the increasing practicality of JIT operations, mass customization, etc.. b. The increased emphasis on service has, among other things, fostered an increased information or information technology content of many products. Firms are also increasing training because so much of the service economy is dependent upon individual competence. c. The increased role of women in the workplace is requiring an increased emphasis on the creation and communication of appropriate human resource policies. It may also be fostering the creation of flexible work schedules and, to a lesser degree, telecommuting. 2 d. Some companies seem to be adopting the perspective that their main problem is now the “management of change” as opposed to the management of a specific process or product. If nothing else, the management of change is becoming a formal part of the manager’s responsibility. Problem 3: OM managers support the firm's strategy by achieving a competitive advantage through some combination of differentiation, low-cost leadership, and response. 3 Practice Problem: Chapter 3, Project Management Problem 1: The following represent activities in a major construction project. Draw the network to represent this project. Activity Immediate Predecessor A - B - C A D B E B F C, E G D H F, G 1 Problem 2: Given the following Time Chart and Network Diagram, find the Critical Path. Activity a m b t Variance A 2 3 4 3 1/9 B 1 2 3 2 1/9 C 4 5 12 6 16/9 D 1 3 5 3 4/9 E 1 2 3 2 1/9 Problem 3: What is the variance in completion time for the critical path found in Problem 2? Problem 4: A project has an expected completion time of 40 weeks and a standard deviation of 5 weeks. It is assumed that the project completion time is normally distributed. (a) What is the probability of finishing the project in 50 weeks or less? (b) What is the probability of finishing the project in 38 weeks or less? (c) The due date for the project is set so that there is a 90% chance that the project will be finished by this date. What is the date? 2 Problem 5: Development of a new deluxe version of a particular software product is being considered. The activities necessary for the completion of this project are listed in the table below along with their costs and completion times in weeks. Activity Normal Time Crash Time Normal Cost Crash Cost Immediate Predecessor A 4 3 2,000 2,600 - B 2 1 2,200 2,800 A C 3 3 500 500 A D 8 4 2,300 2,600 A E 6 3 900 1,200 B, D F 3 2 3,000 4,200 C, E G 4 2 1,400 2,000 F (a) What is the project expected completion date? (b) What is the total cost required for completing this project on normal time? (c) If you wish to reduce the time required to complete this project by 1 week, which activity should be crashed, and how much will this increase the total cost? 3 ANSWERS: Problem 1: Problem 2: Critical path: ACDE = 14 Problem 3: Total variance = ∑ variances of activities on critical path Total variance = 1/9 + 16/9 + 4/9 + 1/9 = 2 2/9 = 2.44 And σ = 2.44 = 1.6 4 Problem 4: (a) Z = X −μ σ = 50 − 40 =2 5 Therefore: P (X ≤ 50) = P(Z ≤ 2) = 0.97725 (b) Z = X−μ σ = −2 = −0.4 5 Therefore: P (X ≤ 38) = P(Z ≤ −0.4) = 0.34458 (c) 90% ≥ Z = 1.28 = (χ - μ ) / σ = χ − 40 / 5 Therefore: χ = 1.28*5 + 40 = 46.4weeks Problem 5: (a) Project completion time is therefore t A + t D + t E + t F + t G = 4 + 8 + 6 + 3 + 4 = 25 (b) Total cost = $2, 000 + $2200 + $500 + $2,300 + $900 + $3, 000 + $1, 400 = $12,300 (c) Crash D 1 week at an additional cost of $2, 600 − $2,300 $300 = = $75 8−4 4 5 Practice Problems: Chapter 6, Managing Quality Problem 1: The accounts receivable department has documented the following defects over a 30-day period: Category Frequency Invoice amount does not agree with the check amount 108 Invoice not on record (not found) 24 No formal invoice issued 18 Check (payment) not received on time 30 Check not signed 8 Invoice number and invoice referenced do not agree 12 What techniques would you use and what conclusions can you draw about defects in the accounts receivable department? Problem 2: Prepare a flow chart for purchasing a Big Mac at the drive-through window at McDonalds. Problem 3: Draw a fishbone chart detailing reasons why a part might not be correctly machined. 1 ANSWERS: Problem 1: Category Frequency Percent Invoice amount does not agree with the check amount 108 54 Invoice not on record (not found) 24 12 No formal invoice issued 18 9 Check (payment) not received on time 30 15 Check not signed 8 4 Invoice number and invoice referenced do not agree 12 6 200 100 Σ= Use a Pareto chart to organize the defects and conclude that the obvious problem (about half the defects) is the failure of the check to agree with the company’s records as to the correct amount. Other problems are late payments and an apparent invoice-filing problem in the office. Notice that 27% of these common errors appear to be the result of procedural problems within accounts receivable (invoice not on record, no invoice issued, and invoice numbering problems). This value could be considerably higher depending on how much of the problem of disagreement between invoice and check amounts is the result of accounts receivable process problems. 2 3 Problem 2: Distance Symbol Activity -- Pull up to speaker -- Press button -- Wait for response -- Verbalize order -- Get confirmation of order and cost 20 Move car up in line -- Wait 20 Move car up in line -- Wait -- Verify order and cost -- Pay and receive order -- Leave -- Realize they forgot the extra catsup! 4 Problem 3 5 Practice Problems: Chapter 7, Process Strategy Problem 1: Jackson Custom Machine Shop has a contract for 130,000 units of a new product. Sam Jumper, the owner, has calculated the cost for three process alternatives. Fixed costs will be: for generalpurpose equipment (GPE), $150,000; flexible manufacturing (FMS), $350,000; and dedicated automation (DA), $950,000. Variable costs will be: GPE, $10; FMS, $8; and DA, $6. Which should he choose? Problem 2: Solve Problem 1 graphically Problem 3: Using either your analytical solution found in Problem 1, or the graphical solution found in Problem 2, identify the volume ranges where each process should be used. Problem 4: If Jackson Custom Machine is able to convince the customer to renew the contract for another one or two years, what implications does this have for his decision? ANSWERS: Problem 1: Solve for the crossover between GPE and FMS: 10X + 150000 = 8X + 350000 or 2X = 200000 x = 100,000 units Solve for the crossover between FMS and DA: 8X + 350000 = 6X + 950000 or 2X = 600000 X = 300000 Therefore, at a volume of 130,000 units, FMS is the appropriate strategy. 1 Problem 2 & 3: Below 100,000 units use GPE, between 100,000 and 300,000 use FMS, above 300,000 use DA Problem 4: If Jackson Custom Machine is able to get the customer to extend the contract for another two years, the owner would certainly wish to take advantage of the savings using Dedicated Automation. 2 Practice Problems: Chapter 8, Location Strategies Problem 1: A major drug store chain wishes to build a new warehouse to serve the whole Midwest. At the moment, it is looking at three possible locations. The factors, weights, and ratings being considered are given below: Ratings Factor Weights Peoria Des Moines Chicago Nearness to markets 20 4 7 5 Labor cost 5 8 8 4 Taxes 15 8 9 7 Nearness to suppliers 10 10 6 10 Which city should they choose? Problem 2: Balfour’s is considering building a plant in one of three possible locations. They have estimated the following parameters for each location: Location Fixed Cost Variable Cost Waco, Texas $300,000 $5.75 Tijuana, Mexico $800,000 $2.75 Fayetteville, Arkansas $100,000 $8.00 For what unit sales volume should they choose each location? 1 Problem 3: Our main distribution center in Phoenix, AZ is due to be replaced with a much larger, more modern facility that can handle the tremendous needs that have developed with the city’s growth. Fresh produce travels to the seven store locations several times a day making site selection critical for efficient distribution. Using the data in the following table, determine the map coordinates for the proposed new distribution center. Store Locations Map Coordinates (x,y) Truck Round Trips per Day Mesa (10,5) 3 Glendale (3,8) 3 Camelback (4,7) 2 Scottsdale (15,10) 6 Apache Junction (13,3) 5 Sun City (1,12) 3 Pima (5,5) 10 2 Problem 4: A company is planning on expanding and building a new plant in one of three countries in Middle or Eastern Europe. The general manager, Patricia Donegal, has decided to base her decision on six critical success factors: technology availability and support, availability and quality of public education, legal and regulatory aspects, social and cultural aspects, economic factors, and political stability. Using a rating system of 1 (least desirable) to 5 (most desirable) she has arrived at the following ratings (you may, of course, have different opinions). In which country should the plant be built? Critical Success Factor Turkey Serbia Slovakia Technology availability and support 4 3 4 Availability and quality of public education 4 4 3 Legal and regulatory aspects 2 4 5 Social and cultural aspects 5 3 4 Economic factors 4 3 3 Political stability 4 2 3 Problem 5: Assume that Patricia decides to use the following weights for the critical success factors: Technology availability and support 0.3 Availability and quality of public education 0.2 Legal and regulatory aspects 0.1 Social and cultural aspects 0.1 Economic factors 0.1 Political stability 0.2 Would this change her decision? 3 Problem 6: Patricia’s advisors have suggested that Turkey and Slovakia might be better differentiated by either (a) doubling the number of critical success factors, or (b) breaking down each of the existing critical success factors into smaller, more narrowly defined items, e.g., Availability and quality of public education might be broken into primary, secondary, and post-secondary education. How would you advise Ms. Donegal? 4 ANSWERS: Problem 1: Ratings Weighted Ratings Weights Peoria Des Moines Chicago Peoria Des Moines Chicago Nearness to markets 20 4 7 5 80 140 100 Labor cost 5 8 8 4 40 40 20 Taxes 15 8 9 7 120 135 105 Nearness to suppliers 10 10 6 10 100 60 100 Sum of Weighted ratings: 340 375 325 Factor Therefore, it appears that based upon the weights and rating, Des Moines should be chosen. 5 Problem 2: Transition between Waco and Tijuana: 300, 000 + (5.75 x) = 800, 000 + (2.75 x) 3 x = 500, 000 x = 166, 000 Transition between Waco and Fayetteville: 300, 000 + (5.75 x) = 100, 000 + (8.00 x) 200, 000 = 2.25 x 88,888 = x 6 Problem 3: New Distribution Center should be located at: Cx = (10*3) + (3*3) + (4* 2) + (15*6) + (13*5) + (1*3) + (5*10) 255 = = 7.97 3 + 3 + 2 + 6 + 5 + 3 + 10 32 Cy = (5*3) + (8*3) + (7 * 2) + (10*6) + (3*5) + (12*3) + (5*10) 214 = = 6.69 3 + 3 + 2 + 6 + 5 + 3 + 10 32 7 Problem 4: Critical Success Factor Turkey Serbia Slovakia Technology availability and support 4 3 4 Availability and quality of public education 4 4 3 Legal and regulatory aspects 2 4 5 Social and cultural aspects 5 3 4 Economic factors 4 3 3 Political stability 4 2 3 23 19 22 Σ = Based upon her ratings of the critical success factors, Patricia should choose Turkey. From a practical perspective, given the small difference between the scores for Turkey and Slovakia, and the subjectivity of the ratings themselves, Patricia would be better advised to develop additional critical success factors, more carefully weigh the individual factors; or, in general, to acquire more information before making her decisions. 8 Problem 5: Critical Success Factor Wgt Turkey Serbia Technology availability and support 0.3 4 1.2 3 0.9 4 1.2 Availability and quality of public education 0.2 4 0.8 4 0.8 3 0.6 Legal and regulatory aspects 0.1 2 0.2 4 0.4 5 .5 Social and cultural aspects 0.1 5 0.5 3 0.3 4 0.4 Economic factors 0.1 4 0.4 3 0.3 3 0.3 Political stability 0.2 4 0.8 2 0.4 3 0.6 Σ = 3.9 Slovakia 3.1 3.6 No, in this case, use of the weighting factors does not change the recommendation. One might again suggest that additional information be considered in making the decision. Problem 6: (a) Doubling the number of critical success factors. There are two issues here. First, from a practical perspective there are a limited number of truly “critical” success factors – and these should be the ones presently being considered. Any additional factors should be of secondary or tertiary importance. Second, given the subjective nature of the rating process, adding additional factors would also increase the overall margin of error of the final ratings to a degree that may eliminate any gain in differentiation arising from the use of the additional factors. The use of a maximum of seven to nine critical success factors is usually appropriate. (b) Given that one’s ability to estimate or rate an aggregate is usually better than one’s ability to estimate or rate the individual components of the aggregate, this approach is unlikely to provide much help. 9 Practice Problems: Chapter 9, Layout Strategy Problem 1: As in most kitchens, the baking ovens in Lori’s Kitchen in New Orleans are located in one area near the cooking burners. The refrigerators are located next to each other as are the dishwashing facilities. A work area of tabletops is set aside for cutting, mixing, dough rolling, and assembling of final servings, although different table areas may be reserved for each of these functions. Given the following Interdepartmental Activity Matrix, develop an appropriate layout for Lori’s Kitchen. Interdepartmental Activity Matrix Cooking burners (A) Cooking Burners (A) Refrigerators (B) Dishwashing (C) Work Area (D) - 7 193 12 - 4 82 - 222 Refrigerator (B) Dishwashing (C) Work Area (D) - The present layout is: A B C with a distance of 10 feet between adjacent areas. 1 D Computing the Load * Distance measure: Load * Distance A to B 7 * 10 A to C 193*20 A to D 12*30 B to C 4*10 B to D 82*20 C to D 222*10 Total 70 3860 360 40 1640 2220 8190 Develop a preferred layout. What is the sum of the loads * distance of your new layout? 2 Problem 2: A firm must produce 40 units/day during an 8-hour workday. Tasks, times, and predecessor activities are given below. Task Time (Minutes) Predecessor(s) A 2 - B 2 A C 8 - D 6 C E 3 B F 10 D, E G 4 F H 3 G Total 38 minutes Determine the cycle time and the appropriate number of workstations to produce the 40 units per day. 3 ANSWERS Problem 1: From the Activity Matrix, C and D should be next to each other and A should be next to C. The other relationships are minor by comparison. One possible solution is: B A C D with a distance of 10 feet between adjacent areas. Computing the Load * Distance measure: Load * Distance A to B 7 * 10 70 A to C 193*10 1930 A to D 12*20 240 B to C 4*20 80 B to D 82*30 2460 C to D 222*10 2220 Total 7000 Further improvement is possible. Try analyzing the following layouts. A C B D A C D B 4 Problem 2: Cycle time = Production time available 8 hrs *60 minutes/hr 480 = = = 12 minutes/cycle Units required 40 units 40 Minimum number of workstations = = ∑t i Cycle time = Work time required Cycle time 38 minutes = 3.17 station 12 minutes/cycle 3.17 workstations must be rounded up to 4 as 3 workstations would not be able to produce the required output. One layout – not necessarily optimal 5 Practice Problems: Chapter 11, Supply-Chain Management Problem 1: Determine the sales necessary to equal a dollar of savings on purchases for a company that has a net profit of 6% and spends 70% of its revenues on purchases. Problem 2: Determine the sales necessary to equal a dollar of savings on purchases for a company that has a net profit of 8% and spends 40% of its revenues on purchases. Problem 3 Phil Carter, President of Carter Computer Components, Corp. has the option of shipping computer transformers from its Singapore plant via container ship or airfreight. The typical shipment has a value of $75,000. A container ship takes 24 days and costs $5,000; airfreight takes 1 day and costs $8,000. Holding cost is estimated to be 40% in either case. How should shipments be made? Problem 4 Carol King is evaluating the inventory performance of Johnston Systems. A recent annual report (all figures in millions) indicates assets of $16,000, inventory of $1,000, and cost of goods sold of $24,000. What is the inventory turnover and what percent of assets are tied up in inventory? 1 ANSWERS Problem 1: From Table 11.3, we see that this company would have to increase sales by approximately $5.56 Problem 2: From Table 11.3, we see that this company would have to increase sales by approximately $2.94 Problem 3: Cost via container ship: [24 * (.40 * 75,000) ] + 5,000 = (24 * 82.19) + 5,000 = 1,972.56 + 5,000 = $6,972.56 365 Cost via airfreight: [1* (.40 * 75,000) ] + 8,000 = (1* 82.19) + 8,000 = 82.19 + 8,000 = $8,082.19 365 Therefore, use the container ship as it has a lower total cost. Problem 4 Cost of good sold / inventory investment = 24,000 / 1,000 = 24 (inventory turnover) Total inventory investment/ Total assets = 1,000 / 16,000 = .0625 = 6.25% (percent of assets in inventory) 2 Practice Problems: Chapter 12, Inventory Management Problem 1: ABC Analysis Stock Number Annual $ Volume Percent of Annual $ Volume J24 12,500 46.2 R26 9,000 33.3 L02 3,200 11.8 M12 1,550 5.8 P33 620 2.3 T72 65 0.2 S67 53 0.2 Q47 32 0.1 V20 30 0.1 Σ = 100.0 What are the appropriate ABC groups of inventory items? Problem 2: A firm has 1,000 “A” items (which it counts every week, i.e., 5 days), 4,000 “B” items (counted every 40 days), and 8,000 “C” items (counted every 100 days). How many items should be counted per day? Problem 3: Assume you have a product with the following parameters: Demand = 360 Holding cost per year = $1.00 per unit Order cos t: = $100 per order What is the EOQ? Problem 4: Given the data from Problem 3, and assuming a 300-day work year; how many orders should be processed per year? What is the expected time between orders? Problem 5: What is the total cost for the inventory policy used in Problem 3? Problem 6: Assume that the demand was actually higher than estimated (i.e., 500 units instead of 360 units). What will be the actual annual total cost? Problem 7: If demand for an item is 3 units per day, and delivery lead-time is 15 days, what should we use for a re-order point? Problem 8: Assume that our firm produces type C fire extinguishers. We make 30,000 of these fire extinguishers per year. Each extinguisher requires one handle (assume a 300 day work year for daily usage rate purposes). Assume an annual carrying cost of $1.50 per handle; production setup cost of $150, and a daily production rate of 300. What is the optimal production order quantity? Problem 9: We need 1,000 electric drills per year. The ordering cost for these is $100 per order and the carrying cost is assumed to be 40% of the per unit cost. In orders of less than 120, drills cost $78; for orders of 120 or more, the cost drops to $50 per unit. Should we take advantage of the quantity discount? Problem 10: Litely Corp sells 1,350 of its special decorator light switch per year, and places orders for 300 of these switches at a time. Assuming no safety stocks, Litely estimates a 50% chance of no shortages in each cycle, and the probability of shortages of 5, 10, and 15 units as 0.2, 0.15, and 0.15 respectively. The carrying cost per unit per year is calculated as $5 and the stockout cost is estimated at $6 ($3 lost profit per switch and another $3 lost in goodwill, or future sales loss). What level of safety stock should Litely use for this product? (Consider safety stock of 0, 5, 10, and 15 units) Problem 11: Presume that Litely carries a modern white kitchen ceiling lamp that is quite popular. The anticipated demand during lead time can be approximated by a normal curve having a mean of 180 units and a standard deviation of 40 units. What safety stock should Litely carry to achieve a 95% service level? ANSWERS Problem 1: ABC Groups Class Items Annual Volume Percent of $ Volume A J24, R26 21,500 79.5 B L02, M12 4,750 17.6 C P33, T72, S67, Q47, V20 800 2.9 Σ = 100.0 Problem 2: Item Class Quantity Policy Number of Items to Count Per Day A 1,000 Every 5 days 1000/5 = 200/day B 4,000 Every days 40 4000/40=100/day C 8,000 Every days 100 8000/100=80/day Total items to count: 380/day Problem 3: EOQ = 2 * Demand * Order cost 2 * 360 * 100 = = 72000 = 268 items 1 Holding cost Problem 4: N= Demand 360 = = 134 . orders per year 268 Q T= Working days = 300 / 134 . = 224 days between orders Expected number of orders Problem 5: Demand * Order Cost (Quantity of Items) * ( Holding Cost ) 360 * 100 268 * 1 + = + = 134 + 134 = $268 Q 2 268 2 TC = Problem 6: TC = Demand * Order Cost (Quantity of Items) * ( Holding Cost ) 500 * 100 268 * 1 + = + = 186.57 + 134 = $320.57 268 2 Q 2 Note that while demand was underestimated by nearly 50%, annual cost increases by only 20% (320 / 268 = 1.20) an illustration of the degree to which the EOQ model is relatively insensitive to small errors in estimation of demand. Problem 7: ROP = Demand during lead - time = 3 * 15 = 45 units Problem 8: Q*p = 2 * Demand * Order Cost = ⎛ Daily Usage Rate ⎞ Holding Cost ⎜ 1⎟ Daily Production Rate ⎠ ⎝ (2)(30,000)(150) = 3000 units ⎛ 100 ⎞ 1.50⎜1 − ⎟ ⎝ 300 ⎠ Problem 9: Q*p ($78) = (2)(1000)(100) = 80 units (0.4)(78) Q*p ($50) = (2)(1000)(100) = 100 units = 120 to take advantage of quantity discount. (0.4)(50) Ordering 100 units at $50 per unit is not possible; the discount does not apply until 120 the order equals 120 units. Therefore, we need to compare the total costs for the two alternatives. Total cos t = Demand * Cost + Demand * Order Cost (Quantity of Items) * ( Holding cos t ) + Q 2 Total cos t ($78) = (1000)(78) + (1000)(100) (80)(0.4)(78) + = $80,498 80 2 Total cos t ($50) = (1000)(50) + (1000)(100) (120)(0.4)(50) + = $52,033 120 2 Therefore, we should order 120 each time at a unit cost of $50 and a total cost of $52,033. Problem 10: Safety stock = 0 units: Carrying cost equals zero. Stockout cos ts = (Stockout cos t * possible units of shortage * probability of shortage * number of orders per year ) S0 = 6 * 5* 0.2 * 1350 1350 1350 + 6 * 10 * 015 . * + 6 * 15* 015 . * = $128.25 300 300 300 Safety stock = 5 units: Carrying cos t = $5 per unit * 5 units = $25 Stockout cost: S5 = 6* 5* 015 . * 1350 1350 + 6* 10* 015 . * = $60.75 300 300 Total cos t = carrying cos t + stockout cos t = $25 + $60.75 = $85.75 Safety stock = 10 units: Carrying cos t = 10 * 5 = $50.00 . * Stockout cost: S10 = 6* 5* 015 1350 = $20.25 300 Total cos t = carrying cos t + plus stockout cos t = $50.00 + $20.25 = $70.25 Safety stock = 15: Carrying cos t = 15* 5 = $75.00 Stockout cos ts = 0 (there is no shortage if 15 units are maintained) Total cos t = carrying cos t + stockout cos t = $75.00 + $0 = $75.00 Therefore: Minimum cost comes from carrying a 10-unit safety stock. Problem 11: To find the safety stock for a 95% service level it is necessary to calculate the 95th percentile on the normal curve. Using the standard Normal table from the text, we find the Z value for 0.95 is 1.65 standard units. The safety stock is then given by: (165 . * 40) + 180 = 66 + 180 = 246 Ceiling Lamps Practice Problem: Chapter 13, Aggregate Planning Problem 1: Set the following problem up in transportation format and solve for the minimum cost plan. Period Feb Mar Apr 55 70 75 Regular 50 50 50 Overtime 5 5 5 Subcontract 12 12 10 Beginning Inventory 10 Demand Capacity Costs Regular time $60 per unit Overtime $80 per unit Subcontract $90 per unit Inventory carrying cost $1 per unit per month Back order cost $3 per unit per month 1 ANSWERS Problem 1: 2 Practice Problems: Chapter 14, Material Requirements Planning (MRP) and ERP Problem 1: The Hunicut and Hallock Corporation makes two versions of the same basic file cabinet, the TOL (Top-of-the-line) five drawer file cabinet and the HQ (High-quality) five drawer filing cabinet. The TOL and HQ use the same cabinet frame and locking mechanism. The drawer assemblies are different although both use the same drawer frame assembly. The drawer assemblies for the TOL cabinet use a sliding assembly that requires four bearings per side whereas the HQ sliding assembly requires only two bearings per side. (These bearings are identical for both cabinet types.) 100 TOL and 300 HQ file cabinets need to be assembled in week #10. No current stock exists. Develop a material structure tree for the TOL and the HQ file cabinets. Problem 2: Develop a gross material requirements plan for the TOL and HQ cabinets in the previous example. Problem 3: Develop a net material requirements plan for the TOL and HQ file cabinets in the previous problems assuming a current on-hand finished goods inventory of 100 TOL cabinets. The lead times are given below. Painting and final assembly of both HQ and TOL requires 2 weeks. Both cabinet frames and lock assembly require 1 week for manufacturing. Both drawer assemblies require 2 weeks for assembly. Both sliding assemblies require 2 weeks for manufacturing. Bearings require 2 week to arrive from the supplier. 1 Problem 4: If the TOL file cabinet has a gross material requirements plan as shown below, no inventory, and 2 weeks lead time is required for assembly, what are the order release dates and lot sizes when lot sizing is determined using lot-for-lot? Use a holding cost of $2.00 and a setup cost of $20.00, and assume no initial inventory. Gross Material Requirements Plan Week 1 2 3 TOL 4 50 5 6 100 7 8 9 50 10 100 Problem 5: If the TOL file cabinet has a gross material requirements plan as shown below, no inventory, and 2 weeks of lead time is required for assembly, what are the order release dates and lot sizes when lot sizing is determined by EOQ (Economic Order Quantity)? Use a holding cost of $2.00 and a setup cost of $20.00, and assume no initial inventory. Gross Material Requirements Plan Week TOL 1 2 3 50 4 5 100 2 6 7 50 8 9 10 100 Problem 6: If the TOL file cabinet has a gross materials requirements plan as shown below, no inventory, and 2 weeks of lead time is required for assembly, what are the order release dates and lot size when lot sizing is determined using PPB (part period balancing)? Use a holding cost of $2.00 and a setup cost of $20,000, and no initial inventory. Gross Material Requirements Plan Week TOL 1 2 3 50 4 5 100 3 6 7 50 8 9 10 100 ANSWERS Problem 1: Problem 2: Gross Requirements Plan Week 1 2 3 4 5 6 7 8 9 10 TOL 100 HQ 300 4 Problem 3: Week 1 2 3 4 5 6 7 8 Required date 9 10 Lead Time 100 2 weeks 300 2 weeks TOL Order release date Required date HQ Cabinet frame and lock HQ drawer assembly Drawer frame assembly HQ sliding assembly Order release date 300 Required date 300 1 week 1500 2 weeks Order release date 300 Required date Order release date 1500 Required date 1500 2 weeks 1500 2 weeks Order release date 1500 Required date Order release date 1500 Required date 6000 Bearings Order release date 6000 Receipts: 300 cabinet frames and locks in week 8 1500 HQ drawer assemblies in week 8 1500 drawer frame assemblies in week 6 1500 HQ sliding assemblies in week 6 6000 bearings in week 4 5 2 weeks Problem 4: Gross Material Requirements Plan Week 1 2 TOL Release dates and lot sizes 50 3 4 5 50 100 100 50 6 7 8 9 50 10 100 100 Holding cost = $0 Setup cost = 4 * $20 = $80 Total cost = $80 Problem 5: Solution using POM for Windows: Gross Material Requirements Plan Week 1 TOL Release dates and lot sizes 72 2 3 4 5 50 100 96 48 Holding cost = $280 Setup cost = 4 * $20 = $80 Total cost = $360 6 6 7 8 50 9 10 100 96 Problem 6: Solution using POM for Windows: Gross Material Requirements Plan Week 1 TOL Release dates and lot sizes 50 2 3 4 5 50 100 100 50 Holding cost = $0 Setup cost = 4 * $20 = $80 Total cost = $80 7 6 7 8 50 9 10 100 100 Practice Problems: Chapter 17, Maintenance and Reliability Problem 1: California Instruments, Inc., produces 3,000 computer chips per day. Three hundred are tested for a period of 500 operating hours each. During the test, six failed: two after 50 hours, two at 100 hours, one at 300 hours, and one at 400 hours. Find FR(%) and FR(N). Problem 2: If 300 of these chips are used in building a mainframe computer, how many failures of the computer can be expected per month? Problem 3: Find the reliability of this system: 1 Problem 4: Given the probabilities below, calculate the expected breakdown cost. Number of Breakdowns Daily Frequency 0 3 1 2 2 2 3 3 Assume a cost of $10 per breakdown. 2 ANSWERS Problem 1: FR(%) = failures per number tested = 6/300 = 0.02 = 2% FR(N) = failures per operating time: Total time = 300 * 500 = 150,000 hours Downtime = 2(450) + 2(400) + 1(200) + 1(100) = 2,000 hours Operating time = Total time – Downtime = 150,000 – 2,000 = 148,000 Therefore: FR(N) = 6/148,000 = 0.0000405 failures/hour MTBF = 1/FR(N) = 24,691 hours Problem 2: Converting the units of FR(N) to months: FR(N) = 0.0000405 * 24 hours/day * 30 days/month = 0.029 failures/month FR(N) for the 300 units: FR(N) = 0.029 failures/month * 300 units = 8.75 failures/month MTBF for the mainframe: MTBF = 1/FR(N) = 1/8.75 = 0.11 month = 0.11 * 30 = 3.4 days Calculation for MTBF assumes that failure of any one chip brings down entire system. Problem 3: R = [0.95 + 0.92(1 − 0.95)] * [0.98] * [0.90 + 0.90(1 − 0.90)] = 0.996 * 0.98 * 0.99 = 96.6% 3 Problem 4: Number of Breakdowns Daily Frequency Probability 0 3 0.3 1 2 0.2 2 2 0.2 3 3 0.3 Expected number of breakdowns = (0)(0.3) + (1)(0.2) + (2)(0.2) + (3)(0.3) = 0 + 0.2 + 0.4 + 0.9 = 1.5 breakdowns/day Expected breakdown cost = Expected number of breakdowns * Cost per breakdown = 1.5 * $10 = $15/day 4