Resolución de caso red brand canners INVOPEDescripción completa
A case study analysis of QT-2 subject for 2nd term of MBAFull description
yeahFull description
RbcFull description
Barriers and Gateways to Communication Submitted to: Prof S.K Srinivasan MAKWANA RAVINDRA GOVINDBHAI MAHTAAB KAJLA | MANIKANDAN V I NAVEEN VYAS Agenda 1 2 3 Introduction Bar…Full description
Barriers and Gateways to Communication Submitted to: Prof S.K Srinivasan MAKWANA RAVINDRA GOVINDBHAI MAHTAAB KAJLA | MANIKANDAN V I NAVEEN VYAS Agenda 1 2 3 Introduction Bar…Full description
Full description
Strategic Management Case Analysis: Brighter Smiles for the Masses – Colgate vs. P&G Friday, 02 September 2011 Submitted by: PGP/14/260 NITESH KUMAR GUPTA PGP/14/290 RAHUL MITTAL PGP/14/28…Descripción completa
Full description
A quick review of Operations Research.Full description
Full description
Full description
this is the theory part of operations research
Bhagavad Gita in Telugu(Download to view), the font does not show up correctly in browser.
Descripción completa
Full description
Operations Research [Red Brand Canners]
Submitted by:
Kavya SS
Group V
Kritika Gupta
Kulbhushan Baghel
Lokesh Singh
Mahtaab Kajla
Case Facts
Red Brand Canners – medium sized, fruit and vegetable cannery Decide the optimal product mix for tomato products – Canned whole tomatoes, Tomato Juice and Tomato Paste Two grades of tomatoes available – Grade A and Grade B whether to purchase the 80,000 pounds of grade A tomatoes
Decision Variables •Xaw – Pounds of “Canned Whole Tomatoes” produced using grade A tomatoes •Xaj – Pounds of “Tomato Juice” produced using grade A tomatoes •Xap – Pounds of “Tomato Paste” produced using grade A tomatoes Xbw – Pounds of “Canned whole tomatoes” produced using grade B tomatoes Xbj – Pounds of “Tomato Juice” produced using grade B tomatoes Xbp – Pounds of “Tomato Paste” produced using grade B tomatoes
Objective function
Contribution from various products: Cw = $1.48 $1.48 / 18 = 0.082 Cj = $1.32 / 20 = 0.066 Cp = $1.85 / 25 = 0.074 Hence the Objective function is to maximize the contribution : Maximize Z = 0.08222(Xaw + Xbw) + 0.066(Xaj + Xbj) + 0.074(Xap + Xbp)
Quantity Constraints: A grade tomatoes are 20% of the total produce, (Xaw+Xaj+Xap) < = 600,000 B grade tomatoes are the rest 80 %, (Xbw + Xbj + Xbp) <= 2400,000
Optimal Solution
Using Excel Solver, the optimal solution obtained is: Xaw = 525000 Xaj = 75000 Xap = 0 Xbw = 175000 Xbj = 225000 Xbp = 2000000 Objective function, Z = $225355.56
Additional A grade tomatoes
When extra 80,000 pounds of grade A tomatoes tomatoes are available: The sensitivity report shows that the allowable increase in the quantity constraint is 600000 With an increase of 80000 pounds, the increase in contribution becomes = (80000*0.090333 (80000*0.090333)) = $7226.64, where 0.090333 is the shadow price Hence, net contribution = $232582.2
Profit calculation
Cost of Tomatoes = 3 million * 6 cents = $180,000 Profit in normal scenario = $225355.56 - $180000 = $45355.56 Profit with costs as proposed by Myers = $225355.56 $180240 = $45115.56 Profit in scenario 2 = $232582.2 – (180000 + 6800) = $45782.8
More grade A Tomatoes?
Since the profit in scenario 2, with 80000 more grade A tomatoes is higher than normal scenario, the company should opt for buying the extra tomatoes
Analysis
Myers had proposed a product mix as following: 2 million grade B tomatoes for paste, remaining grade A and B tomatoes for juice Contribution = 2000000*0.074 + 1000000*0.066 = $214000 Profit = $214000 = $180000 = $34000 The profit in the optimal solution is greater than that of solution as proposed by Myers