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MANAGEMENT SCIENCE
            Project Report
Submitted to Management Department,
        ITM University, Gwalior
  For the Fulfillment of 3rd Trimester
    SUBMITTED TO:-

                     SUBMITTEDD BY:-
                      SUBMITTEDD BY:-
                       PUNEET GUPTA
                        PUNEET GUPTA
                     PRADEEP KUMAR
                     PRADEEP KUMAR
                       MD ATTULLAH
                        MD ATTULLAH
                       MANISH SINGH
                        MANISH SINGH
                      SAGAR JADHAV
                       SAGAR JADHAV
introduction
• We are making an operations Research
  project using Linear Programming to take
  decision what type of UPS we have to make
  more which utilize our full resources and will
  help to increase our profit.
Data
   UPS TYPE          400volt 875volt 1025volt   1550volt        Available



Bettery constraint     1       2        3          4       <=     950



   plug socket         2       2        4          4       <=     1150



       fuse            1       1        2          2       <=     300



   transfamer          1       1        2          3       <=     550
Basically we have four type of UPS 400VOLT, 875 VOLT, 1025 VOLT,
1550 VOLT
we have to use 1 battery in 400 VOLT UPS, 2 Battery in 875 VOLT UPS,
3 Battery in 1025VOLT UPS, 4 Battery in 1550VOLT UPS. From the
available battery (i.e.- 950)
we have to use 2 Plug Socket in 400 VOLT UPS, 2 Plug Socket in 875
VOLT UPS, 3 Plug Socket in 1025VOLT UPS, 4 Plug Socket in 1550VOLT
UPS. From the available Plug Socket (i.e.- 1150)
we have to use 1 Fuse in 400 VOLT UPS, 1 Fuse in 875 VOLT UPS, 2
Fuse in 1025VOLT UPS, 3 Fuse in 1550VOLT UPS. From the available
Fuse (i.e.- 300)
we have to use 1 trans farmer in 400 VOLT UPS, 1 Trans farmer in 875
VOLT UPS, 2 Trans farmer in 1025VOLT UPS, 3 Trans farmer in
1550VOLT UPS. From the available Trans farmer (i.e.- 550)
• We have gaining unit profit Rs 200 for
  400VOLT UPS, Rs 250 for 875VOLT UPS, Rs 350
  for 1025 VOLT UPS, Rs 500 for 1550 VOLT UPS
Constraint and Objective Function
By the above Data Our Constraint is :-
1X 2X1 3X3 4X4           <=950
2X 2X 3X3 4X4            <=1150
1X 1X 2X3 2X4            <=300
1X 1X 2X3 3X4            <=550
(Objective Function)Z=
200X+250X2+350X3+500X4
Solution by Solver
 objective
                0        300         0        0
 function

Unit Profit    200       250        350      500      75000




                                                                   Availab
UPS TYPE      400volt   875volt   1025volt 1550volt   used
                                                                     le
 Bettery
                1         2          3        4        600    <=    950
constraint

plug socket     2         2          4        4        600    <=    1150

   fuse         1         1          2        2        300    <=    300

transfamer      1         1          2        3        300    <=    550
Senstivity Report
Microsoft Excel 14.0 Sensitivity Report
Worksheet: [Book1]Sheet1
Report Created: 29-May-12 10:01:09 AM


Variable Cells
                                          Final Reduced     Objective   Allowable Allowable
     Cell               Name              Value   Cost     Coefficient   Increase    Decrease
   $E$4     objective function                 0       -50          200           50      1E+30
   $F$4     objective function               300         0          250       1E+30           0
   $G$4     objective function                 0     -150           350         150       1E+30
   $H$4     objective function                 0         0          500            0      1E+30

Constraints
                                          Final  Shadow    Constraint   Allowable Allowable
     Cell               Name              Value   Price     R.H. Side    Increase   Decrease
   $I$8     Bettery constraint used          600         0          950       1E+30        350
   $I$9     plug socket used                 600         0         1150       1E+30        550
   $I$10    fuse used                        300       250          300         175        300
   $I$11    transfamer used                  300         0          550       1E+30        250
Interpretation
• According to Sensitivity Report:-
• In Constraint View:-
• Battery, Plug Socket, Transfarmer have ‘0’
  shadow Price that’s mean these are not Binding.
  We increase these constraint up to ‘1E+30’ as
  (allowance increase is 1E+30) . They will not
  effect the optimum solution because they have
  slack value( resource that are unused):- 350 for
  Battery,550 for Plug Socket,250 for Transfarmer.
• If we talk about Wire than it is not binding its
  shadow price is 250.
• It’s Allowable increase is 175 so we increase
  the use of wire up to 140. After increasing of
  140 it will effect the optimum solution with
  250/unit.
• It’s Allowable Decrease is 300 so We can
  Decrease it up to 300 after that it will effect
  the optimum solution.
Variable Cell:-
Reduced Cost
The amount an objective function coefficent must change before we
would make any of the product.

or, the amount the profit would change if you made at least one unit of
the product x
200 was not a high enough profit on 400VOLT UPS to make any. Its
profit must increase to 200+50or 250 before we would make 400VOLT
UPS . [ reduced cost is -50 . till 50 unit cost is valid after this we cannot
say.
For Product X3 1025VOLT UPS )= profit must increase to 350+150=500
 [ reduced cost is -150 . till 150 unit cost is valid after this we cannot
say.

We are already making 875VOLT UPS , so their reduced costs are 0.
Ms2

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Ms2

  • 1. MANAGEMENT SCIENCE Project Report Submitted to Management Department, ITM University, Gwalior For the Fulfillment of 3rd Trimester SUBMITTED TO:- SUBMITTEDD BY:- SUBMITTEDD BY:- PUNEET GUPTA PUNEET GUPTA PRADEEP KUMAR PRADEEP KUMAR MD ATTULLAH MD ATTULLAH MANISH SINGH MANISH SINGH SAGAR JADHAV SAGAR JADHAV
  • 2. introduction • We are making an operations Research project using Linear Programming to take decision what type of UPS we have to make more which utilize our full resources and will help to increase our profit.
  • 3. Data UPS TYPE 400volt 875volt 1025volt 1550volt Available Bettery constraint 1 2 3 4 <= 950 plug socket 2 2 4 4 <= 1150 fuse 1 1 2 2 <= 300 transfamer 1 1 2 3 <= 550
  • 4. Basically we have four type of UPS 400VOLT, 875 VOLT, 1025 VOLT, 1550 VOLT we have to use 1 battery in 400 VOLT UPS, 2 Battery in 875 VOLT UPS, 3 Battery in 1025VOLT UPS, 4 Battery in 1550VOLT UPS. From the available battery (i.e.- 950) we have to use 2 Plug Socket in 400 VOLT UPS, 2 Plug Socket in 875 VOLT UPS, 3 Plug Socket in 1025VOLT UPS, 4 Plug Socket in 1550VOLT UPS. From the available Plug Socket (i.e.- 1150) we have to use 1 Fuse in 400 VOLT UPS, 1 Fuse in 875 VOLT UPS, 2 Fuse in 1025VOLT UPS, 3 Fuse in 1550VOLT UPS. From the available Fuse (i.e.- 300) we have to use 1 trans farmer in 400 VOLT UPS, 1 Trans farmer in 875 VOLT UPS, 2 Trans farmer in 1025VOLT UPS, 3 Trans farmer in 1550VOLT UPS. From the available Trans farmer (i.e.- 550)
  • 5. • We have gaining unit profit Rs 200 for 400VOLT UPS, Rs 250 for 875VOLT UPS, Rs 350 for 1025 VOLT UPS, Rs 500 for 1550 VOLT UPS
  • 6. Constraint and Objective Function By the above Data Our Constraint is :- 1X 2X1 3X3 4X4 <=950 2X 2X 3X3 4X4 <=1150 1X 1X 2X3 2X4 <=300 1X 1X 2X3 3X4 <=550 (Objective Function)Z= 200X+250X2+350X3+500X4
  • 7. Solution by Solver objective 0 300 0 0 function Unit Profit 200 250 350 500 75000 Availab UPS TYPE 400volt 875volt 1025volt 1550volt used le Bettery 1 2 3 4 600 <= 950 constraint plug socket 2 2 4 4 600 <= 1150 fuse 1 1 2 2 300 <= 300 transfamer 1 1 2 3 300 <= 550
  • 8. Senstivity Report Microsoft Excel 14.0 Sensitivity Report Worksheet: [Book1]Sheet1 Report Created: 29-May-12 10:01:09 AM Variable Cells Final Reduced Objective Allowable Allowable Cell Name Value Cost Coefficient Increase Decrease $E$4 objective function 0 -50 200 50 1E+30 $F$4 objective function 300 0 250 1E+30 0 $G$4 objective function 0 -150 350 150 1E+30 $H$4 objective function 0 0 500 0 1E+30 Constraints Final Shadow Constraint Allowable Allowable Cell Name Value Price R.H. Side Increase Decrease $I$8 Bettery constraint used 600 0 950 1E+30 350 $I$9 plug socket used 600 0 1150 1E+30 550 $I$10 fuse used 300 250 300 175 300 $I$11 transfamer used 300 0 550 1E+30 250
  • 9. Interpretation • According to Sensitivity Report:- • In Constraint View:- • Battery, Plug Socket, Transfarmer have ‘0’ shadow Price that’s mean these are not Binding. We increase these constraint up to ‘1E+30’ as (allowance increase is 1E+30) . They will not effect the optimum solution because they have slack value( resource that are unused):- 350 for Battery,550 for Plug Socket,250 for Transfarmer.
  • 10. • If we talk about Wire than it is not binding its shadow price is 250. • It’s Allowable increase is 175 so we increase the use of wire up to 140. After increasing of 140 it will effect the optimum solution with 250/unit. • It’s Allowable Decrease is 300 so We can Decrease it up to 300 after that it will effect the optimum solution.
  • 11. Variable Cell:- Reduced Cost The amount an objective function coefficent must change before we would make any of the product. or, the amount the profit would change if you made at least one unit of the product x 200 was not a high enough profit on 400VOLT UPS to make any. Its profit must increase to 200+50or 250 before we would make 400VOLT UPS . [ reduced cost is -50 . till 50 unit cost is valid after this we cannot say. For Product X3 1025VOLT UPS )= profit must increase to 350+150=500 [ reduced cost is -150 . till 150 unit cost is valid after this we cannot say. We are already making 875VOLT UPS , so their reduced costs are 0.