Introduction To Logistics Engineering(IND435)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| IND435 | Introduction To Logistics Engineering | 7 | 3 | 0 | 0 | 3 | 4 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | English |
| Course Type | Elective |
| Course Level | Bachelor Degree |
| Course Instructor(s) | Semra Şebnem AHISKA KING ssahiska@gmail.com (Email) Elif DOĞU edogu@gsu.edu.tr (Email) |
| Assistant | |
| Objective |
Logistics deals with the materials and information flow and their storage in an efficient way. Logistics engineering can be defined as the management of logistics activities using quantitative techniques. Performing logistics activities successfully results in cost savings, and improved customer service level. This elective course focuses mainly on the following logistics areas: forecasting logistics requirements, design of logistics systems, inventory management, transportation planning. The course objectives are the following: 1.Make the students be aware of the benefits of performing logistics activities in an efficient way, 2.Introduce the students the decision problems encountered when designing, planning and controlling the logistics systems, 3.Inform the students about the various quantitative methods used for solving logistics problems. |
| Content |
Week 1.Introducing Logistics Systems: Definitions and Concepts.(Ghiani, Laporte & Musmanno, Chapter 1) Week 2. Introducing Logistics Systems (Cont.): How Logistics Systems Work?, Types of Logistics Decisions (Ghiani, Laporte & Musmanno, Chapter 1) Week 3. Introducing Demand Forecasting: Why Forecasting Is Required?, Classification of Forecasting Methods (Ghiani, Laporte & Musmanno, Chapter 2) Week 4. Time Series Forecasting Methods: Static and Adaptive Methods (Chopra&Meindl, Chapter 7) Week 5. Aggregate Planning Problem: Linear Programming Modeling and Solving Using What’s Best.(Chopra&Meindl, Chapter 8) Week 6. Logistics Network Design: Network Design Decisions, Facility Location, Capacity Allocation, and Demand/Supply Allocation Models (Chopra&Meindl, Chapter 5) Week 7. Logistics Network Design (Cont.): Solving Network Design Models Using GAMS Modeling Language Week 8. Introduction to Inventory Management: Reasons for Holding Inventory, Costs Associated with Holding Inventory, Classification of Inventory Models (Chopra&Meindl, Chapter 10) Week 9. Midterm Exam Week 10. Deterministic Inventory Models: Cycle Inventory, Single Product Inventory Models Under Constant Demand, EOQ and EPQ models (Chopra&Meindl, Chapter 10) Week 11. Deterministic Inventory Models (cont.): Evaluating Ordering Strategies for Multiple Products Case (Chopra&Meindl, Chapter 10) Week 12. Stochastic Inventory Models : Safety Inventory, Product Availability Measures, Replenishment Policies: Basestock Policy, Reorder Point Policy, Evaluating Safety Inventory and Product Availability Given a Replenishment Policy, Evaluating Safety Inventory Given Desired Level of Product Availability (Chopra&Meindl, Chapter 11) Week 13. Stochastic Inventory Models (Cont.): Evaluating Effects of Supplier Lead Time Uncertainty and Product Aggregation on Safety Inventory (Chopra&Meindl, Chapter 11) Week 14. Introducing Transportation Management : Classification of Transportation Problems, Vehicle Allocation Problems, Vehicle Routing Problems, The Traveling Salesman Problem |
| Course Learning Outcomes |
A student who passes this course successfully will be able to: 1. Define logistics concepts, 2. Identify the decision problems in logisitcs systems, 3. Categorize the forecasting techniques, 4. Apply quantitative forecasting techniques, 5. Design logistics networks using mathematical programming models, 6. Solve logistics network design models using an appropriate software, 7. List the benefits of holding stock and the costs associated with it, 8. Solve the deterministic inventory models, 9. Determine the safety stock and the customer service level in case of stochastic demand, 10. Evaluate various inventory policies, 11. Define various transportation problems. |
| Teaching and Learning Methods | |
| References |
Chopra, S., Meindl, P., “Supply Chain Management: Strategy, Planning, and Operation”, 4th Edition, Prentice Hall, 2010. Ghiani,G., Laporte,G., Musmanno,R., “Introduction to Logistics Systems Planning and Control”, John Wiley & Sons, 2004. |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Introducing Logistics Systems: Definitions and Concepts.(Ghiani, Laporte & Musmanno, Chapter 1) |
| 2 | Introducing Logistics Systems (Cont.): How Logistics Systems Work?, Types of Logistics Decisions (Ghiani, Laporte & Musmanno, Chapter 1) |
| 3 | Introducing Demand Forecasting: Why Forecasting Is Required?, Classification of Forecasting Methods (Ghiani, Laporte & Musmanno, Chapter 2) |
| 4 | Time Series Forecasting Methods: Static and Adaptive Methods (Chopra&Meindl, Chapter 7) |
| 5 | Aggregate Planning Problem: Linear Programming Modeling and Solving Using What’s Best.(Chopra&Meindl, Chapter 8) |
| 6 | Logistics Network Design: Network Design Decisions, Facility Location, Capacity Allocation, and Demand/Supply Allocation Models (Chopra&Meindl, Chapter 5) |
| 7 | Logistics Network Design (Cont.): Solving Network Design Models Using GAMS Modeling Language |
| 8 | Introduction to Inventory Management: Reasons for Holding Inventory, Costs Associated with Holding Inventory, Classification of Inventory Models (Chopra&Meindl, Chapter 10) |
| 9 | Midterm Exam |
| 10 | Deterministic Inventory Models: Cycle Inventory, Single Product Inventory Models Under Constant Demand, EOQ and EPQ models (Chopra&Meindl, Chapter 10) |
| 11 | Deterministic Inventory Models (cont.): Evaluating Ordering Strategies for Multiple Products Case (Chopra&Meindl, Chapter 10) |
| 12 | Stochastic Inventory Models : Safety Inventory, Product Availability Measures, Replenishment Policies: Basestock Policy, Reorder Point Policy, Evaluating Safety Inventory and Product Availability Given a Replenishment Policy, Evaluating Safety Inventory Given Desired Level of Product Availability (Chopra&Meindl, Chapter 11) |
| 13 | Stochastic Inventory Models (Cont.): Evaluating Effects of Supplier Lead Time Uncertainty and Product Aggregation on Safety Inventory (Chopra&Meindl, Chapter 11) |
| 14 | Introducing Transportation Management : Classification of Transportation Problems, Vehicle Allocation Problems, Vehicle Routing Problems, The Traveling Salesman Problem |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 0 | 60 |
| Contribution of final exam to overall grade | 0 | 40 |
| Toplam | 0 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 3 | 20 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 30 |
| Project | 1 | 10 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 0 | 0 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Toplam | 5 | 60 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Knowledge and understanding of a wide range of basic sciences (math, physics, ...) and the main concepts of engineering | X | ||||
| 2 | Ability to combine the knowledge and skills to solve engineering problems and provide reliable solutions | X | ||||
| 3 | Ability to select and apply methods of analysis and modeling to ask, reformulate and solve the complex problems of industrial engineering | X | ||||
| 4 | Ability to conceptualize complex systems, processes or products under practical constraints to improve their performance, ability to use innovative methods of design | X | ||||
| 5 | Ability to design, select and apply methods and tools needed to solve problems related to the practice of industrial engineering, ability to use computer technology | X | ||||
| 6 | Ability to design experiments, collect and interpret data and analyze results | X | ||||
| 7 | Ability to work independently, ability to participate in working groups and have a multidisciplinary team spirit | X | ||||
| 8 | Ability to communicate effectively, ability to speak at least two foreign languages | X | ||||
| 9 | Awareness of the need for continuous improvement of lifelong learning, ability to keep abreast of scientific and technological developments to use the tools of information management | |||||
| 10 | Awareness of professional and ethical responsibility | X | ||||
| 11 | Knowledge of the concepts of professional life as "project management", "risk management" and "management of change" | |||||
| 12 | Knowledge on entrepreneurship, innovation and sustainability | |||||
| 13 | Understanding of the effects of Industrial Engineering applications on global and social health, environment and safety. | |||||
| 14 | Knowledge of the problems of contemporary society | |||||
| 15 | Knowledge of the legal implications of the practice of industrial engineering | |||||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 3 | 42 |
| Working Hours out of Class | 13 | 1 | 13 |
| Assignments | 3 | 5 | 15 |
| Midterm Examinations (including preparation) | 1 | 10 | 10 |
| Project | 1 | 15 | 15 |
| Final Examinations (including preparation) | 1 | 15 | 15 |
| Total Workload | 110 | ||
| Total Workload / 25 | 4,40 | ||
| Credits ECTS | 4 | ||