Quantitative Technique (for Management Decision)
Course Convener: Prasanna Ram Joshi
Books • Main Text Book – Quantitative Approaches to Mgmt • Levin, Rubin, Stinson, Gardner
• Reference Books – Operations Management • Barry, Render
– OM for Competitive Advantage • Chase, Jocobs, Aquilino
– QT in Mgmt • N D Vohra
– Business Statistics • Levine, krehbiel, Berenson
How we conduct course • • • • • • •
Regular Quiz/Class Tests 4.5 hrs per week (Sun-Tue-Thu) Use of Intenet/email Punctuality/attendance Class Discipline Participations Assignment/Cases – Correctness 70% & timeliness 30%
• Use of computer programs (ABPOM/Excel)
Course Objective • To conceptualize the knowledge and develop the skills to apply the quantitative (mathematical and statistical) tools and techniques in decision making.
Course Contents • Introduction : MS/OR • Probability Concepts Review: • Forecasting: Looking past behaviour as an indicator of what is to come • Decision Theory: how to make an sinsible decision under conditions of risk and uncertainty • Linear Programming: How to locate scarce resources optimally (Determining optimal combination of the resources) • Special Structured linear programming: Transportation and Assignment problem • Network Scheduling: How to simplify the compelxties involved in large projects (PERT/CPM)
• MANAGEMENT SCIENCE/ OPERATIONS RESEARCH – THE QUANTITATIVE APPROACH TO MANAGEMENT DECISION MAKING
• QUANTITATIVE TECHNIQUES/APPROACH: – Use of numerical datas, their processing, and interpretation of analysis for decision making – Specific task and knowledge required before using quantitative tools. – Specification of organizational goals – Knowledge about possible actions – Knowledge about possible likelihoods – Knowledge about expected payoffs.
• DECISION MAKING: – The selection of one course of action from two or more possible alternative courses of actions to meet the goal(purpose) of the organization. – Most managerial decisions are made with some uncertainty.
• STEPS IN DECISION MAKING (GENERAL): – – – –
Recognition of Problems and Opportunities Development of alternative courses of Actions Evaluation of Alternatives Selection and Implementation of chosen alternatives – Followup to Determine Effectiveness of Decision
SIX (6) STEPS IN MS/OR PROCESS PROCESS STEPS
PROCESS ACTIVITIES
PROCESS OUTPUT
Step 1: Observe the problem environment
Site visits Conferences Observation Research
Sufficient information and support to proceed
Step 2: Analyze and define the problem
Define use Define objectives Define limitations
Clear grasp of need for and nature of solution requested
Step 3: Develop a model
MS/OR tools Interrelationships Mathematical models Known solutions Research
Model that works under stated environmental cosntraints
Step 4: Select appropriate data input
Internal-external data Facts Opinions Computer data banks
Sufficient inputs to operate and test model
Step 5: Provide a solution and test its reasonableness
Testing Limitations Verification
Solutions that support current organizational objectives
Step 6: Implement the solution
Behavioral issues “Selling” the idea Management involvement Explanations
“Ownership” by management sufficient to support longer run operation of model
• Assignment 1: (Group) – Q.No.1 Explain the relationship between the MS/OR specialist and the overall manager? – Q.No.2 List down the major applications of MS/OR according to following functional fields: Accounting, Finance, Marketing, Production/Operations, Organizational Development, Human Resources – Q.No.3 What are the Opportunities and shortcomings of the quantitative approach?
Pre Test