Inventory Management System objective Work with multiple objects and.pdf

Inventory Management System objective: Work with multiple objects and review reading data
files. Description: A wholesale distributor has six warehouses (Atlanta, Baltimore, Chicago,
Denver, Ely and Fargo) and sells five different items (identified by part number: 102, 215, 410,
525 and 711). Each warehouse may stock any or all of the five items. The company buys and
sells these items constantly. Company transaction records contain a transaction code (P" for a
purchase or 'S' for a sale) followed by an item number and the quantity (bought or sold). The
transaction records are contained in a transaction data file named Transactions.txt. Sample
transaction records Transactions.txt P 410 1000 S 215 120 S 711 300 A separate data file
contains the initial status of the six warehouses at the beginning of the day (i.e., the ending status
from the night before). This data file has only six records (lines). Each record (line) contains five
numbers that show the quantity on hand for the five items in that warehouse. This file is named
inventory.txt. Sample status data file: Inventory.txt 500 120 60 0 350 100 230 0 500 0 75 00 220
600 50 120 300 40 210 160 30 80 500 90 50 90 200 70 The status data file is updated by
processing the transaction records in the transaction data file according to these rules
Solution
driver.java
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.io.*;
public class driver {
public static void main(String[] args) {
try
{
File file = new File("Inventory.txt");
String line;
FileReader fileReader = new FileReader(file);
BufferedReader bufferedReader = new BufferedReader(fileReader);
line = bufferedReader.readLine();
String[] parts = line.split(" ");
int i1 = Integer.parseInt(parts[0]);

warehouse wh1 = new warehouse("Atlanta",i1,i2,i3,i4,i5);
parts = line.split(" ");
i1 = Integer.parseInt(parts[0]);
warehouse wh2 = new warehouse("baltimo",i1,i2,i3,i4,i5);
warehouse wh3 = new warehouse("chicago",i1,i2,i3,i4,i5);
warehouse wh4 = new warehouse("denver",i1,i2,i3,i4,i5);
warehouse wh5 = new warehouse("Ely",i1,i2,i3,i4,i5);

warehouse wh6 = new warehouse("fargo",i1,i2,i3,i4,i5);
fileReader.close();
file = new File("Transactions.txt");
fileReader = new FileReader(file);
bufferedReader = new BufferedReader(fileReader);
while(true)
{
String line1 = bufferedReader.readLine();
if(line1 == null)
{
break;
}
parts = line1.split(" ");
String ss = parts[0];
int item_num = Integer.parseInt(parts[1]);
int tmp = Integer.parseInt(parts[2]);
if(ss.equals("P"))
{
//find ware house with mininum items
int item = 0;
if(item_num == 102)
{
item = 0;
}
else if(item_num == 215)
{
item = 1;
}

{
item = 2;
}
{
item = 3;
}
else
{
item = 4;
}
int whouse_mith_min_items = 1;
int tmp_min = wh1.items[item];
if(wh1.items[item] < tmp_min)
{
tmp_min = wh1.items[item];
whouse_mith_min_items = 1;
}
{
}
{
}
{
}
{

}
{
}
if(whouse_mith_min_items == 1){wh1.items[item] = wh1.items[item] + tmp;}
else if(whouse_mith_min_items == 2){wh2.items[item] = wh2.items[item] + tmp;}
}
else
{
//find ware house with max items
int item = 0;
if(item_num == 102)
{
item = 0;
}
{
item = 1;
}
{
item = 2;
}
{
item = 3;
}
else

{
item = 4;
}
int whouse_mith_min_items = 1;
int tmp_min = wh1.items[item];
if(wh1.items[item] > tmp_min)
{
}
{
}
{
}
{
}
{
}
{
}
if(whouse_mith_min_items == 1){wh1.items[item] = wh1.items[item] - tmp;}

else if(whouse_mith_min_items == 2){wh2.items[item] = wh2.items[item] - tmp;}
}
}
wh1.display();wh2.display();
}
catch (IOException e)
{
e.printStackTrace();
}
}
}
warehouse.java
public class warehouse
{
public String name ;
public int items[] = new int[5];
public warehouse(String name, int a1, int a2, int a3, int a4, int a5) {
this.name = name;
this.items[0] = a1;
this.items[1] = a2;
this.items[3] = a4;
this.items[4] = a5;
this.items[2] = a3;
}
public warehouse() {
this.name = "";
this.items[0] = 0;
this.items[1] = 0;
this.items[3] = 0;

this.items[4] = 0;
this.items[2] = 0;
}
void display()
{
System.out.println(this.name + "tt"+ this.items[0] + "t" + this.items[1] + "t" +
this.items[2] + "t"+ this.items[3]+ "t" + this.items[4]);
}
}
Inventory.txt
100 100 100 100 100
200 200 200 200 100
300 300 300 300 100
400 400 400 400 100
500 500 500 500 100
600 50 600 600 100
Transactions.txt
S 215 100
P 215 250
S 215 100
P 215 250
Output:
Atlanta 100 350 100 100 100
baltimo 200 200 200 200 100
chicago 300 300 300 300 100
denver 400 300 400 400 100
Ely 500 400 500 500 100
fargo 600 300 600 600 100

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