Professor Anvari

Taught manufacturing and industrial systems engineering courses at the University of Michigan for five years where he received his three engineering degrees, and as an adjunct professor he teaches project and cost management at local universities in the Washington DC area.�

In his early career he worked at General Motors as a production engineer and later as an operations research and systems analyst at the cost and economic analysis center in Washington DC.

Mort is currently the Director of Programs and Strategy at ASA (FM&C) and the Lean Six Sigma (LSS) deployment Director where he oversees process improvement initiatives, economic studies validation, cost benefit analysis, and risk and uncertainty analysis in support of major defense programs.

Mort is Defense Acquisition University Level III Certified in Business Financial Management (BFM), and Business Cost Estimating (BCE). Mort has� received several professional awards that includes the 2006 DoD modeling and simulation award.

In his public lectures, Mort stimulates cost culture debates among government and industry leaders and managers. Professor Anvari has repeatedly appeared on live television programs analyzing the political economy of the Middle East.

Management science

 

One can characterize the field of management science as "the business use of operations research".�� However, in modern times the term management science may also be used to refer to the separate fields of organizational studies or corporate strategy.� Like operational research itself, management science (MS) is an interdisciplinary branch of applied mathematics devoted to optimal decision planning, with strong links with economics, business, engineering, and other sciences.� It uses various scientific research-based principles, strategies, and analytical methods including mathematical modeling, statistics and numerical algorithms to improve an organization's ability to enact rational and meaningful management decisions by arriving at optimal or near optimal solutions to complex decision problems. In short, management sciences help businesses to achieve their goals using the scientific methods of operational research.

 

The management scientist's mandate is to use rational, systematic, science-based techniques to inform and improve decisions of all kinds. Of course, the techniques of management science are not restricted to business applications but may be applied to military, medical, public administration, charitable groups, political groups or community groups.

 

Management science is concerned with developing and applying models and concepts that may prove useful in helping to illuminate management issues and solve managerial problems, as well as designing and developing new and better models of organizational excellence.

 

The application of these models within the corporate sector became known as management science. Some of the fields that have considerable overlap with Operations Research and Management Science include:

 

 Business Analytics

 Data mining

 Decision analysis

 Engineering

 Financial engineering

 Forecasting

 Game theory

 Graph theory

 Industrial engineering

 Logistics

 Mathematical modeling

 Mathematical optimization

 Probability and statistics

 Project management

 Policy analysis

 Simulation

 Social network/Transportation forecasting models

 Stochastic processes

 Supply chain management

Applications of management science are abundant in industry as airlines, manufacturing companies, service organizations, military branches, and in government. The range of problems and issues to which management science has contributed insights and solutions is vast. It includes:

 

 scheduling airlines, including both planes and crew,

 deciding the appropriate place to site new facilities such as a warehouse, factory or fire station,

 managing the flow of water from reservoirs,

 identifying possible future development paths for parts of the telecommunications industry,

 establishing the information needs and appropriate systems to supply them within the health service,

 identifying and understanding the strategies adopted by companies for their information systems.

 

 

Management science is also concerned with so-called �soft-operational analysis�, which concerns methods for strategic planning, strategic decision support, and Problem Structuring Methods (PSM). In dealing with these sorts of challenges mathematical modeling and simulation are not appropriate or will not suffice. Therefore, during the past 30 years, a number of non-quantified modeling methods have been developed. These include:

 

 stakeholder based approaches including metagame analysis and drama theory

 Morphological analysis and various forms of influence diagrams

 approaches using cognitive mapping

 the Strategic Choice Approach

 robustness analysis

 

Operations research is a discipline that deals with the application of advanced analytical methods to help make better decisions.� It is often considered to be a sub-field of mathematics. The terms management science and decision science are sometimes used as synonyms.

 

Employing techniques from other mathematical sciences, such as mathematical modeling, statistical analysis, and mathematical optimization, operations research arrives at optimal or near-optimal solutions to complex decision-making problems. Because of its emphasis on human-technology interaction and because of its focus on practical applications, operations research has overlap with other disciplines, notably industrial engineering and operations management, and draws on psychology and organization science. Operations research is often concerned with determining the maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost) of some real-world objective. Originating in military efforts before World War II, its techniques have grown to concern problems in a variety of industries.

 

Operational research (OR) encompasses a wide range of problem-solving techniques and methods applied in the pursuit of improved decision-making and efficiency, such as simulation, mathematical optimization, queuing theory and other stochastic-process models, Markov decision processes, econometric methods, data envelopment analysis, neural networks, expert systems, decision analysis, and the analytic hierarchy process.[5] Nearly all of these techniques involve the construction of mathematical models that attempt to describe the system. Because of the computational and statistical nature of most of these fields, OR also has strong ties to computer science and analytics. Operational researchers faced with a new problem must determine which of these techniques are most appropriate given the nature of the system, the goals for improvement, and constraints on time and computing power.

 

The major sub disciplines in modern operational research, as identified by the journal Operations Research, are:

 Computing and information technologies

 Environment, energy, and natural resources

 Financial engineering

 Manufacturing, service sciences, and supply chain management

 Marketing Engineering

 Policy modeling and public sector work

 Revenue management

 Simulation

 Stochastic models

 Transportation.

Mort

Anvari

 

Professor Anvari

Taught manufacturing and industrial systems engineering courses at the University of Michigan for five years where he received his three engineering degrees, and as an adjunct professor he teaches project and cost management at local universities in the Washington DC area.�

In his early career he worked at General Motors as a production engineer and later as an operations research and systems analyst at the cost and economic analysis center in Washington DC.

Mort is currently the Director of Programs and Strategy at ASA (FM&C) and the Lean Six Sigma (LSS) deployment Director where he oversees process improvement initiatives, economic studies validation, cost benefit analysis, and risk and uncertainty analysis in support of major defense programs.

Mort is Defense Acquisition University Level III Certified in Business Financial Management (BFM), and Business Cost Estimating (BCE). Mort has� received several professional awards that includes the 2006 DoD modeling and simulation award.

In his public lectures, Mort stimulates cost culture debates among government and industry leaders and managers. Professor Anvari has repeatedly appeared on live television programs analyzing the political economy of the Middle East.

Text Box: The course materials listed on this web site are copy rights � by the subject authors and publishers. They are solely intended for classroom teaching and online reference. Copy and/or redistribution of these contents are prohibited by the US copyright law.

 

Management Science Topics (scroll down for Topics contents)

 

 

1

Introduction to Management Science

 

 

2

Principles of Operations Management

 

 

3

Operations Management

 

 

4

Supply Chain Management

 

 

5

Operations and Supply Chain Management

 

 

6

Managerial Decision Modeling

 

 

 

 

 

 

1

Introduction to Management Science

 

 

1

Management Science

 

 

2

Model Formulation with L.P.

 

 

3

Computer Solution & Sensitivity Analysis

 

 

4

L.P. Modeling Examples

 

 

5

Integer Programming

 

 

6

Transportation Assignment Problems

 

 

7

Network Flow Models

 

 

8

Project Management

 

 

9

Multi-criteria Decision Making

 

 

10

Nonlinear Programming

 

 

11

Probability and Statistics

 

 

12

Decision Analysis

 

 

13

Queuing Analysis

 

 

14

Simulation

 

 

15

Forecasting

 

 

16

Inventory Management

 

 

2

Principles of Operations Management

 

 

1

Operations and Productivity

 

 

2

Operations Strategy in a Global Environment

 

 

3

Project Management

 

 

4

Forecasting

 

 

5

Design of Goods and Services

 

 

5s

Sustainability in the Supply Chain

 

 

6

Managing Quality

 

 

6s

Statistical Process Control

 

 

7

Process Strategy

 

 

7s

Capacity and Constraint Management

 

 

8

Location Strategies

 

 

9

Layout Strategies

 

 

10

Human Resources, Job Design, and Work Measurement

 

 

11

Supply Chain Management

 

 

11s

Supply Chain Management Analytics

 

 

12

Inventory Management

 

 

13

Aggregate Planning and S&OP

 

 

14

14 Material Requirements Planning (MRP) and ERP

 

 

15

Short-Term Scheduling

 

 

16

JIT, TPS, and Lean Operations

 

 

17

17 Maintenance and Reliability

 

 

A

Decision-Making Tools

 

 

B

Linear Programming

 

 

C

Transportation Modeling

 

 

D

Waiting-Line Models

 

 

E

Learning Curves

 

 

F

Simulation

 

 

3

Operations Management

 

 

1

Competing with Operations

 

 

2

Project Management

 

 

3

Process Strategy

 

 

4

Process Analysis

 

 

5

Quality And Performance

 

 

6

Capacity Planning

 

 

7

Constraint Management

 

 

8

Lean Systems

 

 

a

Multi-Criteria Decision Making

 

 

b

Decision Making Under Uncertainty

 

 

c

Optimization Modeling

 

 

d

Simulation Modeling

 

 

4

Supply Chain Management

 

 

1

Supply Chain Management -An Overview

 

 

2

Role of Logistics in Supply Chains

 

 

3

Global Dimensions of Supply Chains

 

 

4

Supply Chain Relationships

6

Managerial Decision Modeling

5

Supply Chain Performance - Measurement & Analysis

1

Introduction to Managerial Decision Modeling.

6

Supply Chain Technology�Information Flows

2

Linear Programming (L.P) Models

7

Demand Management

3

L.P. Modeling Applications

8

Order Management and Customer Service

4

L.P. Sensitivity Analysis

9

Managing Inventory in the Supply Chain

5

Transportation, Assignment & Network Models

10

Transportation�Managing the Flow

6

Integer, Goal, & Nonlinear Programming Models

11

Distribution�Managing Fulfillment Operations

7

Project Management

12

Supply Chain Network Analysis and Design

8

Decision Analysis

13

Sourcing Materials and Services

9

Queuing Models

5

Operations and Supply Chain Management

10

Simulation Modeling

1

Introduction to Operations and Supply Chain Management

11

Forecasting Models

2

Operations and Supply Chain Strategies

12

Inventory Control Models

3

Process Choice and Layout Decisions in Manufacturing and Services

7

Take a Test Excel

4

Business Processes

1

DEMAND FUNCTIONS

5

Managing Quality

2

SUPPLY FUNCTIONS

6

Managing Capacity

3

EQUILIBRIUM PRICES

6s

Advanced Waiting Line Theory and Simulation Modeling

4

LABOR MARKETS

7

Supply Management

5

ELASTICITY OF DEMAND

8

Logistics

6

CONSUMER & PRODUCER SURPLUS

9

Forecasting

7

TAXES AND WELFARE

10

Sales and Operations Planning (Aggregate Planning)

8

MARGINAL COSTS

11

Managing Inventory throughout the Supply Chain

9

PROFIT MAXIMIZATION

12

Managing Production Across the Supply Chain

10

UTILITY MAXIMIZATION

12s

Supply Chain Information Systems

11

MORE UTILITY MAXIMIZATION

13

JIT/Lean Production

12

DEMAND CURVES AND INCOME

14

Managing Projects

13

DISCOUNTED PRESENT VALUE

15

15 Developing Products and Services

14

INTERNAL RATE OF RETURN