education & consulting in

Project and Resource Management

Management Science

Objectives: Develop the skill and perspective necessary to artfully use quantitative techniques for the resolution of practical business problems. To know when and how to do managerially relevant analysis under conditions of uncertainty, many decision variables, unstructured contexts, and active competition, in a way that integrates personal judgment, available data, and formal analytical techniques. Emphasis is not on the mastery of sophisticated mathematical techniques, but rather on exploring the most widely applicable methodologies.

 

Content: The course consist of four modules: (i) model building and risk simulation, (ii) multi-criteria decision making, (iii) model building and optimization, and (iv) games and competition.

 

Methodology: The course is case based. Cases describe general managerial situations from multiple industries such as airlines, oil companies, movie industry, banking, sports, software, and services. The case method is complemented with individual exercises and group presentations. The course also emphasizes the mastery of spreadsheet modeling because it enhances the ability to build more realistic models in a simpler way. Laptops in class are welcomed.

Operations Management

COURSE OBJECTIVES: Many firms have demonstrated that operations management can be an effective competitive weapon and, in conjunction with well-conceived marketing and financial plans, these firms have made major penetrations into markets worldwide. This course is designed to address the key operations and logistical issues in service and manufacturing organizations that have strategic as well as tactical implications. The specific objectives include:

 

1. To understand the role of operations management in the overall business strategy of the firm.

2. To understand the interdependence of the operating system with other key functional areas of the firm.

3. To identify and evaluate the key factors and the interdependence of these factors in the design of effective operating systems.

4. To identify and evaluate a range of tools appropriate for analysis of operating systems of the firm.

5. To identify and evaluate comparative approaches to operations management in a global context.

6. To understand the application of operations management policies and techniques to the service sector as well as manufacturing firms.

 

The sessions are designed to promote student participation through the discussion of current events in the business world as they relate to operations management and in-class analysis.

 

Managerial Decision Modeling

1

Introduction to Managerial Decision Modeling.

2

Linear Programming (L.P) Models

3

L.P. Modeling Applications

4

L.P. Sensitivity Analysis

5

Transportation, Assignment & Network Models

6

Integer, Goal, & Nonlinear Programming Models

7

Project Management

8

Decision Analysis

9

Queuing Models

10

Simulation Modeling

11

Forecasting Models

12

Inventory Control Models

 

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

 

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

9

Supply Chain Design

10

Supply Chain Integration

11

Location

12

Inventory Management

13

Forecasting

14

Operations Planning and Scheduling

15

Resource Planning

 

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

5

Supply Chain Performance - Measurement & Analysis

6

Supply Chain Technology—Managing Information Flows

7

Demand Management

8

Order Management and Customer Service

9

Managing Inventory in the Supply Chain

10

Transportation—Managing the Flow

11

Distribution—Managing Fulfillment Operations

12

Supply Chain Network Analysis and Design

13

Sourcing Materials and Services

14

Operations—Producing Goods and Services

15

Managing Reverse Flows in the Supply Chain

16

Strategic Challenges and Change for Supply Chains

17

Principles of Supply Chain  Management

18

Introduction to Project Management

Spreadsheet Modeling

Elements of a Decision Analysis

Risk and  Decision Strategies

Statistical Modeling

Simple Additive Weighting

Multi-Criteria Decision Making

Decision Making Under Uncertainty

Optimization Modeling

Simulation Modeling