Case 3- Matlab

code toc all function

% Case 3: Given a history of weekly sales and a production process with

% constant weekly output, find the storage history.

% INPUTS:

% salesSet, set of weekly sales data

% prod, weekly production level (constant)

% OUTPUTS:

% storageInit, initial storage level, before week 1

% storageSet, weekly storage levels

% storageMean, mean of weekly storage levels

% storageStdDev, standard deviation of weekly storage levels

% -------------------------------------------------------------------------

% SETUP SECTION -----------------------------------------------------------

mu= 1000; % sales average per week

sigma= 100; % sales standard deviation

nweeks= 104;

load('Case3Data.mat'); % loads the variable salesSet

prod= 1000;

% SIMULATION SECTION ------------------------------------------------------

[storageInit,storageSet,storageMean,storageStdDev]= Sales_3_fcn(salesSet,prod);

% REPORT SECTION ----------------------------------------------------------

% setup conditions

fprintf(' Setup 3: ');

fprintf(' nweeks=%6.0f ',nweeks);

fprintf(' mu= %6.0f ',mu);

fprintf(' sigma= %6.0f ',sigma);

fprintf(' prod= %6.0f ',prod);

salesMean= mean(salesSet);

fprintf(' salesMean= %6.0f ',salesMean);

salesStdDev= std(salesSet);

fprintf(' salesStdDev= %6.0f ',salesStdDev);

% results

fprintf(' Results 3: ');

fprintf(' storageInit= %6.0f ',storageInit);

fprintf(' storageMean= %6.0f ',storageMean);

fprintf(' storageStdDev= %6.0f ',storageStdDev);

storageMin= min(storageSet);

fprintf(' storageMin= %6.0f ',storageMin);

storageMax= max(storageSet);

fprintf(' storageMax= %6.0f ',storageMax);

% plot results

figure

x= 1:1:nweeks;

subplot(3,1,1)

plot(x,salesSet);

grid on;

hold on;

xline= [1,nweeks];

yline= [salesMean,salesMean];

plot(xline,yline,'k')

hold off;

xlabel('weeks');

ylabel('sales');

title('Case 3: Production level constant.');

subplot(3,1,2)

plot(x,storageSet);

grid on;

hold on;

xline= [1,nweeks];

yline= [storageMean,storageMean];

plot(xline,yline,'k')

hold off;

%xlabel('weeks');

ylabel('storage level');

subplot(3,1,3)

netstore= prod*ones(1,nweeks) -salesSet;

plot(x,netstore);

grid on;

%xlabel('weeks');

ylabel('netstore= prod-sales');

fprintf(' ');

% -------------------------------------------------------------------------

Given weekly sales data and a constant weekly production rate, find the storage history. Assume that the initial ammount of widgets in storage is equal to 50% of weekly production level. Function inputs and outputs are as follows: % INPUTS: % salesset, set of weekly sales data % prod, weekly production level (constant) % OUTPUTS: storageInit, initial storage level, before week 1 % storageset, weekly storage levels % storageMean, mean of weekly storage levels storageStdDev, standard deviation of weekly storage levels Function C Reset D MATLAB Documen 1 function (storageInit, storageset, storageMean, storagestdDev]= Sales_3_fcn(salesset, prod) 2 % Copy and paste your code here m 4 % IMPORTANT NOTE: Assume storageInit=0.5*prod in 6 end Given weekly sales data and a constant weekly production rate, find the storage history. Assume that the initial ammount of widgets in storage is equal to 50% of weekly production level. Function inputs and outputs are as follows: % INPUTS: % salesset, set of weekly sales data % prod, weekly production level (constant) % OUTPUTS: storageInit, initial storage level, before week 1 % storageset, weekly storage levels % storageMean, mean of weekly storage levels storageStdDev, standard deviation of weekly storage levels Function C Reset D MATLAB Documen 1 function (storageInit, storageset, storageMean, storagestdDev]= Sales_3_fcn(salesset, prod) 2 % Copy and paste your code here m 4 % IMPORTANT NOTE: Assume storageInit=0.5*prod in 6 end