Optimization Techniques Prof. Ajai Jain

Slides:



Advertisements
Similar presentations
Quantitative Techniques An Introduction
Advertisements

Materials management & hscm OBJECTIVES Materials Management- basic introduction Materials Management- importance Materials Management-
Chapter 1 Business Driven Technology
UNIT 1 CONCEPT OF MANAGERIAL ECONOMICS (continue)
Linear Programming Problem. Introduction Linear Programming was developed by George B Dantzing in 1947 for solving military logistic operations.
Lesson 08 Linear Programming
Quantitative Techniques for Decision Making M.P. Gupta & R.B. Khanna © PHI Learning.
Session II – Introduction to Linear Programming
INTRODUCTION TO MODELING
Chapter 1 Introduction to Modeling DECISION MODELING WITH MICROSOFT EXCEL Copyright 2001 Prentice Hall.
Project management Project manager must;
Chapter 1 Introduction to Modeling DECISION MODELING WITH MICROSOFT EXCEL Copyright 2001 Prentice Hall Publishers and Ardith E. Baker.
NetWORKS Strategy Manugistics NetWORKS Strategy 6.2.
Introduction to Research Methodology
1© 2003 by Prentice Hall, Inc. Upper Saddle River, NJ Linear Programming: Formulations & Graphical Solution.
Decision Making: An Introduction 1. 2 Decision Making Decision Making is a process of choosing among two or more alternative courses of action for the.
FIN 685: Risk Management Topic 5: Simulation Larry Schrenk, Instructor.
Overview of The Operations Research Modeling Approach.
Optimization in Engineering Design Georgia Institute of Technology Systems Realization Laboratory 1 Optimization in Engineering Design ME 6103 (used to.
Supply Chain Design Problem Tuukka Puranen Postgraduate Seminar in Information Technology Wednesday, March 26, 2009.
What Is The Operations Research? Operational research,also known as operations research,is an interdisciplinary mathematical science that focuses on the.
AAEC 3315 Agricultural Price Theory
Introduction to Economics
Operational Research & Management By Mohammad Shahid Khan M.Eco., MBA, B.Cs., B.Ed Lecturer in Economics and Business Administration Department of Economics.
Operations Research I Lecture 1-3 Chapter 1
Introduction to Quantitative Techniques
LINEAR PROGRAMMING PROJECT. V.PAVITHRA SUKANYAH.V.K RIZWANA SULTANA SHILPA JAIN V.PAVITHRA.
 Group 3 Vahe Karapetyan Dena Rad Eidin Balali Patrick Njathi Zhong Zheng Damilare Adeoye Operations Research & Linear Programming Agenda Introduction.
Supply Chain Management COSC643 E-Commerce Supply Chain Management Sungchul Hong.
Managerial Economics Prof. M. El-Sakka CBA. Kuwait University Managerial Economics in a Global Economy Chapter 1 B.
By Saparila Worokinasih
Operations Research Models
Quantitative Methods of Management
Introduction to Operation Research
 Operations research, or operational research in British usage, is a discipline that deals with the application of advanced analytical methods to help.
Modeling.
Operations research Origin and Development:
Operations Research Lecturer Eng. Ahmed H. Abo absa 2 nd Semester ITGD4207 University of Palestine.
What Is Management Science?
1-1 Management Science Chapter 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall.
Math “The science of better” ✦✦✦ “The use of mathematical models, statistics and algorithms to aid in decision-making with the goal of improving.
Managerial Decision Making and Problem Solving
Introduction to Management Science
Chapter 1 Introduction n Introduction: Problem Solving and Decision Making n Quantitative Analysis and Decision Making n Quantitative Analysis n Model.
Lecture 1 – Operations Research
OPERATION RESEARCH Hemal Rajyaguru.
Research Methodology The economy of a country is controlled by several factors The economy of a country is controlled by several factors POPULATION SIZE.
Operations Research The OR Process. What is OR? It is a Process It assists Decision Makers It has a set of Tools It is applicable in many Situations.
Introduction to Management Science / Operations Research What is Operations Research? Management Science? Operations research is concerned with scientifically.
1 Management Science. 2 Chapter Topics The Management Science Approach to Problem Solving Model Building: Break-Even Analysis Computer Solution Management.
IT Applications for Decision Making. Operations Research Initiated in England during the world war II Make scientifically based decisions regarding the.
What is Operations Research ?
1 Optimization Techniques Constrained Optimization by Linear Programming updated NTU SY-521-N SMU EMIS 5300/7300 Systems Analysis Methods Dr.
DEPARTMENT/SEMESTER ME VII Sem COURSE NAME Operation Research Manav Rachna College of Engg.
Operations Research Models and Methods Advanced Operations Research Reference: Operations Research Models and Methods, Operations Research Models and Methods,
WHAT IS RESEARCH? According to Redman and Morry,
LINEAR PROGRAMMING. Linear Programming Linear programming is a mathematical technique. This technique is applied for choosing the best alternative from.
OPERATION RESEARCH (EOE-073) 1. 2 Introduction Operations Research is an Art and Science It had its early roots in World War II and is flourishing in.
Introduction It had its early roots in World War II and is flourishing in business and industry with the aid of computer.
© 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Modelling & Simulation of Semiconductor Devices Lecture 1 & 2 Introduction to Modelling & Simulation.
Management Science Chapter 1
Prepared by John Swearingen
Operations Research Chapter one.
UNIT – V BUSINESS ANALYTICS
Introduction to operation research
Quantitative Techniques
CA/CS FOUNDATION |ECONOMICS
Dr. Arslan Ornek MATHEMATICAL MODELS
MSE 606A Engineering Operations Research
Presentation transcript:

Optimization Techniques Prof. Ajai Jain

Operations research Origin and Development: The formal activities of Operations Research (OR) were initiated in England during World War II when a team of British scientists set out to make decisions regarding the best utilization of war material. Following the end of the war, the ideas advanced in military operations were adapted to improve efficiency and productivity in the civilian sector. Today, OR is a dominant and indispensable decision making tool.

Origin and Development In 1948, an OR club was formed in England which later changed its name to the Operations research society of UK. In 1952, the operations research society of America (ORSA) was founded. In 1953, The institute of management science (TIMS) was founded as international society to identify, extend and unify scientific knowledge pertaining to management.

Origin and Development In India OR came into existence in1949, an OR unit was established at Regional Research Laboratory, Hyderabad for planning & organizing research. At the same time Prof. RS verma also setup an OR team at defense science laboratory to solve problems of store, purchase & planning. In 1953, Prof. P.C.Mahalanobis established an OR team in the Indian Statistical Institute, Kolkata to solve problems related to national planning & survey. In 1957 Operations Research Society of India (ORSI) was founded.

OPERATIONS RESEARCH (Definitions ) OR is a science of Optimization; Optimization means maximizing profits and minimizing cost. OR is the systematic method oriented study of the basic structure, characteristic, functions and relationships of an organization to provide the executive with a sound, scientific and quantitative basis for decision making.

OPERATIONS RESEARCH (Definitions) Operations Research is the research of operations. An operation may be called a set of acts required for the achievement of a desired outcome. OR is a scientific approach to problem solving for executive management. (H.M. Wagner)

OPERATIONS RESEARCH (Definitions) OR is the art of giving bad answers to the problems, to which, otherwise, worse answers are given. (Thomas L. Saaty) OR is a scientific method of providing executive departments with a quantitative basis for decisions regarding the operations under their control. (Morse & Kimball)

OPERATIONS RESEARCH (Definitions) OR may be described as a scientific approach to decision making that involves the operations of organizational system. (FS Hiller & GJ Lieberman) OR is concerned with scientifically deciding how to best design and operate man-machine systems usually requiring the allocation of resources.

Characteristics of OR – Primary focus on decision making. –Scientific approach –It is interdisciplinary model –Model building and mathematical manipulation provide the methodology. –OR is for operations economy –Use of computers.

Methodology of OR / Main Phases of Operations Research Study 1. Formulate the Problem What are the objectives, controlled variables, uncontrolled variable constraints? 2. Model Building This includes determination of assumptions, decision variables or parameters, constraints or restrictions, objective functions.

Methodology of OR….. 3. Acquiring Input Data 4. Solution of the Model Apply suitable OR technique --- feasible & infeasible solution, optimal & non optimal solution, Unique & multiple solution.

Methodology of OR….. 5. Model Validation (Testing the Model) By putting values of decision variables in the model and then check the solution wheather it is valid or not. 6. Implementation and Control Interpret solution values, put the result gained from the solution to work through organizational policies, Monitor changes and exercise control.

Define the Problem Develop a Model Obtain Input Data Solve the Model Test the Solution Analyze the Results Implement the Solution Operations Research Methodology

Scope of Operations Research 1. In Agriculture Optimum allocation of land to various crops in accordance with the climate conditions. Optimum distribution of water from various resources like canal for irrigation purposes. 2. In Finance to maximize the per capita income with minimum resources.

Scope of Operations Research to find out the profit plan for the company to determine the best replacement policies 3. In Industry for deciding optimum allocation of various limited resources such as men, machines, material, money, time etc. Complexity, Scattered Responsibility Knowledge Explosion

Scope of Operations Research 4. In Marketing Where to distribute the products for sale so that the total cost of transportation is minimum the minimum per unit sale price ? the size of the stock to meet the future demand ? how to select best adv. media w.r.t. time, cost etc. ? how, when & what to purchase at the minimum possible cost ?

Scope of Operations Research 5. In Personnel Management to appoint the most suitable person on minimum salary. to determine the best age of retirement for the employees. to find out the no. of persons to be appointed on full time basis when the workload is seasonal.

Scope of Operations Research 6. In production Management to find out the no. & size of items to be produced. in scheduling & sequencing the production run by proper allocation of machines. in calculating the optimum product mix. to select, locate & design the sites for the production plants.

Scope of Operations Research 7. In L.I.C. What should be the minimum premium rates for various modes of policies ? How best the profit could be distributed in the cases of with profit policies ?

Models & modeling in OR Model is an approximation or abstraction of real life situation. A model is constructed to analyze & understand the given system for the purpose of improving its performance.

Models & modeling in OR Classification based on Structure Physical Model i) Iconic Models ii) Analogue Model Symbolic Models i) Verbal Models ii) Mathematical Models

Classification based on Purpose or Function Descriptive Models Predictive Models Normative (Optimization) Models Models & modeling in OR

Classification Based on Time Reference Static Models Dynamic Models Classification based on degree of Certainty Deterministic Models Probabilistic Models Models & modeling in OR

Classification based on Method of Solution Heuristic Models Analytical Models Simulation Models Models & modeling in OR

Kellogg’s –The largest cereal producer in the world. –LP-based operational planning (production, inventory, distribution) system saved $4.5 million in Applications of OR Techniques

Procter and Gamble –A large worldwide consumer goods company. –Utilised integer programming and network optimization worked in concert with Geographical Information System (GIS) to re- engineering product sourcing and distribution system for North America. –Saved over $200 million in cost per year. Applications of OR Techniques

Hewlett-Packard –Robust supply chain design based on advanced inventory optimization techniques. –Realized savings of over $130 million in 2004 Applications of OR Techniques