21
A factory produces two types of drink, an ‘energy’ drink and a ‘refresher’ drink. The day’s output is to be planned. Each drink requires syrup, vitamin supplement and concentrated flavouring, as shown in the table. The last row in the table shows how much of each ingredient is available for the day’s production. How can the factory manager decide how much of each drink to make? THE PROBLEM Linear Programming : Introductory Example

Decision Math - LP Example

Embed Size (px)

DESCRIPTION

example

Citation preview

  • A factory produces two types of drink, an energy drink and a refresher drink. The days output is to be planned. Each drink requires syrup, vitamin supplement and concentrated flavouring, as shown in the table.The last row in the table shows how much of each ingredient is available for the days production.How can the factory manager decide how much of each drink to make?THE PROBLEMLinear Programming : Introductory Example

  • Energy drink sells at 1 per litreRefresher drink sells at 80 p per litreTHE PROBLEM

    SyrupVitamin supplementConcentrated flavouring5 litres of energy drink1.25 litres2 units30 cc5 litres of refresher drink1.25 litres1 unit20 ccAvailabilities250 litres300 units4.8 litres

  • Syrup constraint:Let x represent number of litres of energy drinkLet y represent number of litres of refresher drink

    0.25x + 0.25y 250 x + y 1000FORMULATION

  • Vitamin supplement constraint:Let x represent number of litres of energy drinkLet y represent number of litres of refresher drink

    0.4x + 0.2y 300 2x + y 1500FORMULATION

  • Concentrated flavouring constraint:Let x represent number of litres of energy drinkLet y represent number of litres of refresher drink

    6x + 4y 4800 3x + 2y 2400FORMULATION

  • Objective function:Let x represent number of litres of energy drinkEnergy drink sells for 1 per litre

    Let y represent number of litres of refresher drinkRefresher drink sells for 80 pence per litre

    Maximise x + 0.8yFORMULATION

  • Empty grid to accommodate the 3 inequalitiesSOLUTION

  • 1st constraintDraw boundary line:x + y = 1000SOLUTION

    xy0100010000

  • 1st constraintShade out unwanted region:x + y 1000SOLUTION

  • Empty grid to accommodate the 3 inequalitiesSOLUTION

  • 2nd constraintDraw boundary line:2x + y = 1500SOLUTION

    xy015007500

  • 2nd constraintShade out unwanted region:2x + y 1500SOLUTION

  • Empty grid to accommodate the 3 inequalitiesSOLUTION

  • 3rd constraintDraw boundary line:3x + 2y = 2400SOLUTION

    xy012008000

  • 3rd constraintShade out unwanted region:3x + 2y 2400SOLUTION

  • All three constraints:First:x + y 1000SOLUTION

  • All three constraints:First:x + y 1000Second:2x + y 1500SOLUTION

  • All three constraints:First:x + y 1000Second:2x + y 1500Third:3x + 2y 2400SOLUTION

  • All three constraints:First:x + y 1000Second:2x + y 1500Third:3x + 2y 2400Adding:x 0 and y 0 SOLUTION

  • Feasible region is the unshaded area and satisfies:x + y 10002x + y 15003x + 2y 2400x 0 and y 0 SOLUTION

  • Evaluate the objective function x + 0.8yat vertices of the feasible region:O: 0 + 0 = 0A: 0 + 0.8x1000 = 800B: 400 + 0.8x600 = 880C: 600 + 0.8x300= 840D: 750 + 0 = 750

    OABCDMaximum income = 800 at (400, 600)SOLUTION