KusKus Enterprise wishes to assess their productivity performance for the past two years.Table 1 summarizes all the inputs and outputs at the end of years 2019 and 2020.Table 1: Inputs and outputs data in years 2019 and 2020Item20192020Finished goodsQuantity (unit)Semi-finished goodsQuantity (unit)Price (RM/unit)Completed percentage (%)45,00050,0004,0001,00040504050Labors| No of working hours/laborAverage wage (RM/hour)No of workersDeflator1,9201,9201217303011.2MaterialsWeight of materials (kg)Price (RM/kg)5,0006,0004555OverheadQuantity (units)Price (RM/unit)Deflator12,0008,0000.50.711.12a) Analyse the above inputs and outputs data. Then, calculate the total productivityindex for both years 2019 and 2020. Comment on the company productionperformance in 2020 as compared to 2019. Limit your calculation to one decimalpoint only.b) Determine which input factor(s) that significantly influenced the companyproductivity performance in 2020. Support your answer with partial productivitycalculations.

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KusKus Enterprise wishes to assess their productivity performance for the past two years. Table 1 summarizes all the inputs and outputs at the end of years 2019 and 2020. Table 1: Inputs and outputs data in years 2019 and 2020 Item Finished goods Quantity (unit) Semi-finished goods Quantity (unit) Price (RM/unit) Completed percentage (%) 2019 2020 45,000 50,000 1,000 50 4,000 40 40 50 | Labors | No of working hours/labor Average wage (RM/hour) No of workers Deflator 1,920 1,920 12 17 30 30 1.2 Materials Weight of materials (kg) Price (RM/kg) 5,000 6,000 55 45 Overhead Quantity (units) Price (RM/unit) Deflator 12,000 0.5 8,000 0.7 1 1.12 a) Analyse the above inputs and outputs data. Then, calculate the total productivity index for both years 2019 and 2020. Comment on the company production performance in 2020 as compared to 2019. Limit your calculation to one decimal point only. b) Determine which input factor(s) that significantly influenced the company productivity performance in 2020. Support your answer with partial productivity calculations.

KusKus Enterprise wishes to assess their productivity performance for the past two years. Table 1 summarizes all the inputs and outputs at the end of years 2019 and 2020. Table 1: Inputs and outputs data in years 2019 and 2020 Item Finished goods Quantity (unit) Semi-finished goods Quantity (unit) Price (RM/unit) Completed percentage (%) 2019 2020 45,000 50,000 1,000 50 4,000 40 40 50 | Labors | No of working hours/labor Average wage (RM/hour) No of workers Deflator 1,920 1,920 12 17 30 30 1.2 Materials Weight of materials (kg) Price (RM/kg) 5,000 6,000 55 45 Overhead Quantity (units) Price (RM/unit) Deflator 12,000 0.5 8,000 0.7 1 1.12 a) Analyse the above inputs and outputs data. Then, calculate the total productivity index for both years 2019 and 2020. Comment on the company production performance in 2020 as compared to 2019. Limit your calculation to one decimal point only. b) Determine which input factor(s) that significantly influenced the company productivity performance in 2020. Support your answer with partial productivity calculations.

Purchasing and Supply Chain Management

6th Edition

ISBN:9781285869681

Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

Publisher:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

ChapterC: Cases

Section: Chapter Questions

Problem 5.1SC: Scenario 3 Ben Gibson, the purchasing manager at Coastal Products, was reviewing purchasing...

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Scenario 3 Ben Gibson, the purchasing manager at Coastal Products, was reviewing purchasing expenditures for packaging materials with Jeff Joyner. Ben was particularly disturbed about the amount spent on corrugated boxes purchased from Southeastern Corrugated. Ben said, I dont like the salesman from that company. He comes around here acting like he owns the place. He loves to tell us about his fancy car, house, and vacations. It seems to me he must be making too much money off of us! Jeff responded that he heard Southeastern Corrugated was going to ask for a price increase to cover the rising costs of raw material paper stock. Jeff further stated that Southeastern would probably ask for more than what was justified simply from rising paper stock costs. After the meeting, Ben decided he had heard enough. After all, he prided himself on being a results-oriented manager. There was no way he was going to allow that salesman to keep taking advantage of Coastal Products. Ben called Jeff and told him it was time to rebid the corrugated contract before Southeastern came in with a price increase request. Who did Jeff know that might be interested in the business? Jeff replied he had several companies in mind to include in the bidding process. These companies would surely come in at a lower price, partly because they used lower-grade boxes that would probably work well enough in Coastal Products process. Jeff also explained that these suppliers were not serious contenders for the business. Their purpose was to create competition with the bids. Ben told Jeff to make sure that Southeastern was well aware that these new suppliers were bidding on the contract. He also said to make sure the suppliers knew that price was going to be the determining factor in this quote, because he considered corrugated boxes to be a standard industry item. Is Ben Gibson acting legally? Is he acting ethically? Why or why not?
Scenario 3 Ben Gibson, the purchasing manager at Coastal Products, was reviewing purchasing expenditures for packaging materials with Jeff Joyner. Ben was particularly disturbed about the amount spent on corrugated boxes purchased from Southeastern Corrugated. Ben said, I dont like the salesman from that company. He comes around here acting like he owns the place. He loves to tell us about his fancy car, house, and vacations. It seems to me he must be making too much money off of us! Jeff responded that he heard Southeastern Corrugated was going to ask for a price increase to cover the rising costs of raw material paper stock. Jeff further stated that Southeastern would probably ask for more than what was justified simply from rising paper stock costs. After the meeting, Ben decided he had heard enough. After all, he prided himself on being a results-oriented manager. There was no way he was going to allow that salesman to keep taking advantage of Coastal Products. Ben called Jeff and told him it was time to rebid the corrugated contract before Southeastern came in with a price increase request. Who did Jeff know that might be interested in the business? Jeff replied he had several companies in mind to include in the bidding process. These companies would surely come in at a lower price, partly because they used lower-grade boxes that would probably work well enough in Coastal Products process. Jeff also explained that these suppliers were not serious contenders for the business. Their purpose was to create competition with the bids. Ben told Jeff to make sure that Southeastern was well aware that these new suppliers were bidding on the contract. He also said to make sure the suppliers knew that price was going to be the determining factor in this quote, because he considered corrugated boxes to be a standard industry item. As the Marketing Manager for Southeastern Corrugated, what would you do upon receiving the request for quotation from Coastal Products?
Lomotan Piggery grows pigs to sell to a meat processing company. It is known for a fact that its peak season is during the first quarter of the year. Lomotan Piggery has checked the demand for pigs for the past three years which is shown below: Demand for Pigs at Lomotan Piggery: Demand (1,000s) per Quarter Year Q1 Q2 Q3 Q4 Total 2011 47 43 41 39 170 2012 48 46 38 44 176 2013 49 44 46 37 176 Total 144 133 125 120 522 What are the quarter 3 forecasts for 2014 using linear trend?
(b) Demand history of five different products of a company is shown below. Products 2012 2013 2014 2015 2016 2017 2018 2019 2020 A 37 40 41 45 49 26 34 30 26 23 33 28 32 C 58 55 32 38 45 56 62 70 77 86 95 83 88 81 92 85 i. Name the methods that is suitable to forecast the demand of the above five products? ii. Forecast demand of the product B or D with error for the year 2021. If you need a value of a then consider it 0.7.
Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.) b. To be reasonably confident of meeting demand, Nina decides to use 2 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round your answer to the nearest whole number.)
The following are historical demand data: YEAR SEASON ACTUALDEMAND 2011 Spring 203 Summer 144 Fall 382 Winter 565 2012 Spring 471 Summer 271 Fall 686 Winter 955 Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do not round intermediate calculations. Round your answer to the nearest whole number.)
The K&R Camera shop sells all the latest cameras and accessories. To meet customer demand, the manager must forecast demand for items she sells. Lately the XR-42S zoom lens has been very popular. Recent monthly demand for this item has been as shown: Number of Lenses Month Sold 1 12 17 2 3 4 15 20 18 23 6.
Use regression analysis on deseasonalized demand to forecast demand in Summer of Year 3, given the following historical demand data: Year Season Actual Demand 1 Spring 205 Summer 140 Fall 375 Winter 575 2 Spring 475 Summer 275 Fall 685 Winter 965
Zeus Computer Chips, Incorporated used to have major contracts to produce the Centrino-type chips. The market has been declining during the past three years because of the quad-core chips, which it cannot produce, so Zeus has the unpleasant task of forecasting next year. The task is unpleasant because the firm has not been able to find replacement chips for its product lines. Here is demand over the past 12 quarters: QUARTER TWOYEARS AGO DEMAND QUARTER LASTYEAR DEMAND QUARTER THISYEAR DEMAND 1 4,800 1 3,500 1 3,200 2 3,500 2 2,700 2 2,100 3 4,300 3 3,500 3 2,700 4 3,000 4 2,400 4 1,700 Use the regression and seasonal indexes to forecast demand for the next four quarters. Note: Do not round intermediate calculations. Round your answers to 2 decimal places. Period Forecast 1 2 3 4
Assuming the following deseasonalized demand, what would your Level and Trend FORECAST factors be for future deseasonalized demand estimates? (Hint, you might want to use excel for this) period 1 2 3 4 5 6 7 8 9 10 13673 6640 2737 3486 141 13186) 5448 3485 7728 16591 8236 3316 855358 11 12 13 15 16 17 18 19 Demand Deseasonalized D₁ Demand D 3200 7658 4420 2384 3654 8680 5795 1953 4742 20 4472 4657 4956 5074 5157 5917 6646 6850 6791 6573 6363 6308 6932 7887 8662 8989 O Level-4696 Trend-343 O Level-3612. Trend-264 O Level 3629; Trend-263 O Level-2528: Trend-185
A restaurant manager with analyzing records of the last 6 weeks summarizes the daily demand figures in terms of the number of meals served as follows (Please fill the empty cells of the following table): Weeks Number of Meals 3-periods Moving Average [Actual - Forecast] (Actual - Forecast)2 1 60 -- -- -- 2 96 -- -- -- 3 103 -- -- -- 4 61 5 122 6 101 1. Which one of the following is closest to the forecast of the next week ( F7 ) for the number of meals to be served daily using the 3-periods moving average method ? a)143 b)95 c)57 d)62 2. Which one of the following is closest to the forecast error ( in terms of MAD ) for the weeks 4, 5 and 6 using the 3-periods moving average method ? a)22 b)29 c)30 d)24 3. What is the forecast error ( in terms of MSE ) for the weeks 4, 5 and 6 using the 3-periods moving average method ? a)641 b)577 c)705 d)897
Q2: An economist who estimated the Keynesian money demand function in logarithmic form using data from Sri Lankan economy, obtained the graph on the left by using predicted and actual money demand. While the model was very successful in predicting money demand until 2010 (small forecast errors), it predicts a consistently higher money demand than actually occurred since then (growing forecast errors each period). 48 Ln(M) 4.75 4.7 4.65 4.6 4.55 Actual 4.5 Predicted ...... 4.45 Help this economist who has trouble explaining this situation, even if you do not know anything about the economy in question. Can you answer this question with details please? 6toz Stor