DECISION SCIENCE
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DECISION SCIENCE SOLVED PAPERS AND GUESS
Product Details: PUNE UNIVERSITY DECISION SCIENCE
Format: BOOK
Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM
Publisher: MEHTA SOLUTIONS
Edition Description: 2021-22
RATING OF BOOK: EXCELLENT
ABOUT THE BOOK
FROM THE PUBLISHER
If you find yourself getting fed up and frustrated with other PUNE UNIVERSITY book solutions now mehta solutions brings top solutions for PUNE UNIVERSITY DECISION SCIENCE REPORT book contains previous year solved papers plus faculty important questions and answers specially for BANGALORE UNIVERSITY .questions and answers are specially design specially for PUNE UNIVERSITY students .
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FULLY SOLVED BOOK LASY 5 YEARS PAPERS SOLVED PLUS GUESS
MBA, Semester – II
COURSE CODE 204) DECISION SCIENCE
Unit
Contents
Sessions
1
1) Introduction: Importance of Decision Sciences & Role of quantitative techniques in decision making.
2) Assignment Models: Concept, Flood’s Technique/ Hungarian Method, applications including restricted & multiple assignments.
3) Transportation Models: Concept, Formulation, Problem types: Balanced, unbalanced, Minimization, Maximization Basic initial solution using North West Corner, Least Cost & VAM, Optimal Solution using MODI.
9 + 2
2
1) Linear Programming: Concept, Formulation & Graphical Solution
2) Markov Chains & Simulation Techniques: Markov chains: Applications related to management functional areas, Implications of Steady state Probabilities, Decision making based on the inferences Monte Carlo Simulation, scope and limitations.
8 + 2
3
1) Decision Theory: Concept, Decision under risk (EMV)& uncertainty.
2) Game Theory: Concept,2 by 2 zero sum game with dominance, Pure & Mixed Strategy.
3) Queuing Theory: Concept, Single Server ( M/M/I , Infinite, FIFO) and Multi Server (M/M/C , Infinite, FIFO).
6 + 2
4
1) CPM & PERT: Concept, Drawing network, identifying critical path
Network Calculations: Calculating EST, LST, EFT, LFT, Slack & probability of project completion
2) Sequencing Problems: Introduction, Problems involving n jobs- 2 machines, n jobs- 3 machines & n jobs-m machines; Comparison of priority sequencing rules.
6 + 2
5
1) Probability: Concept, Addition, Conditional Probability theorem based decision making, (Numerical based on functional areas of business expected).
2) Probability Distributions: Normal, Binomial. Interval estimation, standard errors of estimation.
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