Answer the following: gres to tha pas tor ara s. Assuming that tnere is most one

Question

Answer the following:

gres to tha pas tor ara s. Assuming that tnere is most one eror per oder, caiculate performance for east cf the four vesr (en er yourreeoorees runded to two dearnaOscesi. of perfect orde 2015 B5,C00 vlal shipments n-time pmanta Complete chipments 75,000 130.000 124,500 2010 The overall trono in prom ?'ce i:-?(Upward, Downward, Constant ) A The numbe' cfenws decreases each Yws ??? kwer rate than :he number ofordes s increasing. B. The number cf errors ncreascs each ye z ? nghar . rt than the numberof orders is ncreasing. or undamaged shlpments

Explanation / Answer

(some numbers may not be correct because the photo quality is not very good. but the method of calculation given is correct so in case of any error due to numbers please do that calculation again)

we have atmost 1 error per order. so if there is on-time error it does not have any other error and vice versa.

2013:

total shipments = 75000

on time shipments = 70000

error on on time shipments = 75000 - 70000 = 5000

error on complete shipments = 75000 - 71500 = 3500

error on un damaged shipments = 75000 - 74000 = 1000

error on correctly billed shipments = 75000 - 35000 = 40000

total number of errors = 5000 + 3500 + 1000 + 40000 = 49500

perfect orders = 75000 - 49500 = 25500

% of perfect orders = 25500/75000 = 0.34 = 34%

2014:

total shipments = 130000

error on on time shipments = 130000 - 120000 = 10000

error on complete shipments = 130000 - 121000 = 9000

error on un damaged shipments = 130000 - 128000 = 2000

error on correctly billed shipments = 130000 - 83500 = 46500

total number of errors = 10000 + 9000 + 2000 + 46500 = 67500

perfect orders = 130000 - 67500 = 62500

% of perfect orders = 62500/130000 = 0.481 = 48.1%

2015:

total shipments = 185000

error on on time shipments = 185000 - 180000 = 5000

error on complete shipments = 185000 - 156000 = 29000

error on un damaged shipments = 185000 - 184000 = 1000

error on correctly billed shipments = 185000 - 148000 = 37000

total number of errors = 5000 + 29000 + 1000 + 37000 = 72000

perfect orders = 185000 - 72000 = 113000

% of perfect orders = 113000/185000 = 0.611 = 61.1%

2016:

total shipments =230000

error on on time shipments = 230000 - 225000 = 5000

error on complete shipments = 230000 - 203000 = 27000

error on un damaged shipments = 230000 -228000 = 2000

error on correctly billed shipments = 230000 - 184500 = 45500

total number of errors = 5000 + 27000 + 2000 + 45500 = 79500

perfect orders = 230000 - 79500 = 150500

% of perfect orders = 150500/230000 = 0.654 = 65.4%

2013: 34%; 2014: 48.1%; 2015: 61.1%; 2016: 65.4%

overall trend in performance is upward

option C, number of errors increases each year at a lower rate than the number of orders is increasing

concentrate more on correctly billed shipments to improve the performance.

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