COURSE UNIT TITLE

: INVENTORY MANAGEMENT

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 3178 INVENTORY MANAGEMENT ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

DOCTOR Hanifi Okan IŞGÜDER

Offered to

Statistics
Statistics(Evening)

Course Objective

The objective of the course is to introduce fundamental elements associated with inventory theory and inventory control methods. The students who attend this course are expected to gain theoretical and practical skills about contemporary applications of inventory methods (MRP, MRPII, JIT etc.) in industry, after practicing deterministic and probabilistic inventory models.

Learning Outcomes of the Course Unit

1   Defining basic concepts of inventory management
2   Defining inventory control methods
3   Constructing different mathematical models for inventory problems where demand is deterministic and probabilistic, respectively
4   Solving deterministic and probabilistic models analytically
5   Interpreting the solutions of inventory models
6   Developing models for applying integrated inventory models such as MRP, MRPII, JIT etc. to real life problems
7   Developing suggestions to know how the inventory systems works better for cost optimization

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 Theory: Basic Concepts and costs of Inventory
2 Inventory Control Methods
3 Deterministic Inventory Models: Basic Economic Order Quantity Model
4 The Continuous Rate EOQ Model
5 Inventory models with stockout is allowed Inventory models with quantity discounts
6 Stochastic Inventory Models
7 Fixed Order Quantity Model (Q System)
8 Examples
9 Fixed Order Interval Model (P System), Single Period Models
10 Integrated Systems Material Requirements Planning (MRP)
11 Manufacturing Resource Planning (MRP II) Capacity Requirements Planning (CRP)
12 Enterprise Resource Planning (ERP) Just-in-time (JIT)
13 Supply Chain Management
14 Design of Supply Chain Logistics and Logistics Management

Recomended or Required Reading

Textbook(s):
A. Öztürk, Yöneylem Araştırması, Ekin Kitabevi, 1997.
Supplementary Book(s):
1. H. Taha, Operations Research, McGraw Hill, 7th edition, 2003.
2. F.S. Hillier, G.J. Lieberman, Introduction to Operations Research, McGraw Hill, 1995.
3.W.L. Winston, Introduction to Operations Research, Applications and Applications, 3rd edition, Duxbury Press, 1994.

Planned Learning Activities and Teaching Methods

Lecture and problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Vize
2 FN Final
3 BNS BNS VZ * 0.40 + FN * 0.60
4 BUT Bütünleme Notu
5 BBN Bütünleme Sonu Başarı Notu VZ * 0.40 + BUT * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of midterm exam and homework.

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: cengiz.celikoglu@deu.edu.tr
Tel: 0232 301 85 50

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Lectures 14 1 14
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 10 10
Preparation for final exam 1 15 15
Preparing assignments 0 0 0
Preparing presentations 1 2 2
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 10 10
Preparation for final exam 1 15 15
Preparing assignments 0 0 0
Preparing presentations 1 2 2
Final 1 2 2
Midterm 1 2 2
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 132

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.154
LO.254
LO.3554
LO.45444
LO.554444
LO.655444
LO.754444