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All I need is the application on photo 4, the rest of the photos are just for reference.
Objective: To become familiar with major logistics customer service elements and their measurement. Information: In many markets, logistics customer services are critical to successful marketing. An Ohio State University (OSU) study of customer service elements performed by Bernard J. LaLonde, Martha Cooper and Thomas Noordewier in 1988 identified the major logistics customer service elements. Additional customer service studies in the 1990s have produced similar results. Managers, who responded to the OSU survey, distributed 100 points among the six major customer service elements as follows: Product availability (44.4%), Minimizing cycle time and cycle time variability (25.9%), Logistics system flexibility (8.5%), Logistics information (7.4%), Logistics malfunctions (6.7%), Post sale logistics support (7.1%) The following Table summarizes the six major logistics customer service elements:
Ele Definition is on hand when ordered. order lines, units, S sales, $ profits. time measured in days or hours Flexibility requests were I cost. logistics systems capabilities and the status of customer order/shipments time, undamaged). product, etc. measured in orders, units $ sales or $ profit. Customer seeks all of the measures would be related to parts above (see elements 1-5) regarding parts, product returns,
A common statistic used to measure logistics performance is the standard deviation. The standard deviation measures the variability in various operations. For example, consider the delivery performance of companies A and B below: 3 deliveries take 3 hours, 5 hours and 7 hours Average delivery time-3+5+7+3-5 hours Standard deviation- 2 hours 3 deliveries take 1 hour, 5 hours and 9 hours Average delivery time-1+5+9+3-5 hours Standard deviation- 4 hours Even though average delivery time is the same for both A and B, Company A is better for the customer because delivery is more predictable, less variable. The standard deviation calculation for Company A above is as follows: #of Deliveries Delivery Time (Hours) 3-5--224 5-5- 7-5+224 02 0 15+3-5 hours Number of Observations A -2 3-1 1 is used when # of observations is less than 30 0 is used when # of observations is 30 or greater
Application: A candy company produces 2 products, butter scotch bits (BB) price $2.00/bag, profits $.20/bag and chocolate crud (CC) price $1.00bag, profits $.08/bag The table below provides a list of the orders taken from their two customers ( logistics actions taken. of Order Tece into unlts Unitseperformed Warehouse product Order # | Customer | Ordered | Shipped Request request damage damage requested & cycle time 20 bag BB 5bag CC not replaced 15 bag BEB 20 bag BB 1 0 bag C 1/2 hour -per 14 days 10 bag CC 5 days 50 Bag cel 40baacel 8 days z 10 bag CC | 1 Z 20 Bag CC yes/yes 3 AM 2 hours 40 Bag BB 40 bag BB replaced in 11 15bag CC Using the table above, provide the following customer service measures (Show calculations) response time on info requests performed) Product Av %în $ Profit Malfunctions (% of Butter Scotch bits units damaged) System flexibility (% Special requests product replacement time
math   Statistics-And-Probability   
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(E-BD-キ2.00| Budbe Xcetch.but Lto bag B8 to bag 188 40 x1O0 58, 331. chocelate Cod cc 25 bag cuobng CCProductivity, % Ceet cc) 140 6 3.367 19.60 xto0 32 - 61.95 Ho 085.6 total un h shipped Average Sde 8+5 +14+518 B doys austame-f have 80

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