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Medical Laser Equipment

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Submitted By meshwar
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INTRODUCTION

This Paper analyzes the Case 16: Medical Laser Equipment. Some of the given facts are as follows: Order is set to every Monday which means an annual total of 50 orders No. of Periods = 250 Days Annual Demand = 166 Units Average Inventory = 5 Units Order Cost = $95 Stock out Cost = $250 Holding Cost = 50% * $1,000 = $500 Capital Cost = 10% Handling Cost = 15% Obsolescence = 5% Storage Cost = 20%
We started the case analysis by the normality test for the current data to check if the data is normally distributed or not. Our objective is to calculate the current Total Cost and then come up with a better solution to lower the cost.
As a result, we have developed two scenarios, both of them reveled lower cost than the current one. Below is detailed analysis.

NORMALITY TEST

Knowing the nature of our data is a key factor for deciding upon the appropriate way to propose a new modeling scenario. As a fact, most of the popular statistical techniques assume that studied data are normally distributed under certain conditions. Therefore, a normality test was performed to: Test if demand is well-modeled by a normal distribution or not. Find out descriptive statistics about the demand distribution such as mean, standard deviation and P-value.
Test result revealed that the demand is normally distributed with: Mean = 0.664 Standard Deviation = 0.776 P-Value < 0.005
Below are graphical presentations for test results.

USED FORMULAS AND ABBREVIATIONS Before starting our calculation of the current situation and the proposed models, we will present the used formulas and abbreviations:
EOQ= √((2*D* C_P)/C_H )

TBO= EOQ/d

TARGET=d [∑_(t=1)^(Z-1)▒〖t+(TBO-Z)*Z 〗]

TC = (C_P*q)+( ( I ) ̅* C_H)

ROP = Averager DDLT + SS

SS=Z √L* σ_d EOQ = Economic Order Quantity
D = Annual Demand
C_P= Order Cost

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