COURSE UNIT TITLE

: INVENTORY SYSTEMS ANALYSIS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IND 5004 INVENTORY SYSTEMS ANALYSIS ELECTIVE 3 0 0 9

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ALI SERDAR TAŞAN

Offered to

INDUSTRIAL ENGINEERING - NON THESIS
Industrial Engineering - Thesis (Evening Program)
INDUSTRIAL ENGINEERING
INDUSTRIAL ENGINEERING
INDUSTRIAL ENGINEERING - NON THESIS (EVENING PROGRAM)

Course Objective

The focus of the course is on the formulation, analysis, and use of mathematical models of inventory systems. It covers the fundamental concepts of inventory theory. Predictable (or deterministic) and unpredictable (or stochastic) supply and demand processes and nonstationary data, models with temporal variations; single item, single location models and complex networks are topics that are studied throughout the course.

Learning Outcomes of the Course Unit

1   To understand the principles of inventory management
2   Ability to formulate mathematical models of inventory systems
3   Ability to solve inventory problems
4   To understand current approaches to inventory management.
5   Ability to determine inventory costs

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to inventory management
2 Introduction to inventory management
3 Independent Demand Systems: Deterministic Model
4 Independent Demand Systems: Deterministic Model
5 Discrete Demand Systems: Deterministic Models
6 Independent Demand Systems: Stochastic Models
7 Independent Demand Systems: Stochastic Models
8 Inventory Systems Changes and Limitation
9 Midterm Exam
10 Single Order Quantities
11 Dependent Demand Systems: MRP
12 In-Process-Inventory, Just in Time, and Theory of Constraints
13 Distribution Inventory Systems
14 Distribution Inventory Systems

Recomended or Required Reading

Tersine, R. J., Principle of Inventory and Materials Management, Prentice Hall, 1994.

Arnold, T., Chapman S. & Clive,L., Introduction to Materials Management, Pearson, 2008.
Zipkin, P.H., Foundations of Inventory Management, McGraw-Hill, 2000.

Planned Learning Activities and Teaching Methods

Instructor notes will be given using blackboard and visual presentations. Additionally, it will be further supported by homework and student presentations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.20 + ASG * 0.40 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + ASG * 0.40 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Assignments 40% + Midterm 20% + Final 40%

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Tel: 301 76 19, e-mail: serdar.tasan@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparing assignments 1 40 40
Preparation for midterm exam 1 20 20
Preparation for final exam 1 30 30
Preparations before/after weekly lectures 13 7 91
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 224

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.154
LO.254444
LO.35444
LO.4544
LO.554

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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