GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
INVENTORY MANAGEMENT/IE467
Course Title: INVENTORY MANAGEMENT
Credits 3 ECTS 4
Course Semester 7 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  English
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
To accomplish the organization's mission by using the manufacture resource of a firm in the most efficient and effective ways possible.

 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  BASIC INVENTORY SYSTEMS Definitions, Functions of inventory systems, Generalized inventory model, Types of inventory policies.
2. Week  BASIC INVENTORY SYSTEMS: Deterministic Single-Item Models: Economic order quantity model, Production rate model, EPQ and Just in time, All unit disco
3. Week  BASIC INVENTORY SYSTEMS: Incremental Discount model, EPQ and shortages model, Periodic inventory systems
4. Week  BASIC INVENTORY SYSTEMS : Dynamic Models. Periodic review lot-size problems, Forward algorithm- backlogging permitted
5. Week  MULTI-ITEM JOINT REPLENISHMENT MODELS: Deterministic Multi-Item Models, Economies of joint replenishment, Joint replenishment order quantity model, Jo
6. Week  MULTI-ITEM JOINT REPLENISHMENT MODELS: Brown's algorithm, Silver's algorithm, Kaspi and Rosenblatt algorithm
7. Week  INVENTORY MANAGEMENT UNDER RISK: Joint replenishment production quantity model, Introduction to probabilistic inventory systems, Single period model
8. Week  INVENTORY MANAGEMENT UNDER RISK: Joint replenishment production quantity model, Introduction to probabilistic inventory systems, Single period model
9. Week  INVENTORY MANAGEMENT UNDER RISK: Service level and safety stock, Percent order service, Safety stock and multiperiod case
10. Week  INVENTORY MANAGEMENT UNDER RISK: Percent unit service, Safety stock, Backorder or Lost sale case
11. Week  INVENTORY MANAGEMENT UNDER RISK: Joint determination of Q and R, Lead time adjustments, Lead time variability, Time-varying demand, Anticipated price
12. Week  AGGREGATE INVENTORY MANAGEMENT: LIMIT, Lagrange multipliers
13. Week  AGGREGATE INVENTORY MANAGEMENT: LIMIT, Lagrange multipliers
14. Week  DISTRIBUTION INVENTORY MANAGEMENT: Definition of multilocation systems, Industrial dynamics, Centralization of inventories, Distribution inventory sys
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
2
50
 Assignment
4
10
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
10
1
10
 Searching in Internet and Library
10
1
10
 Material Design and Implementation
0
 Report Preparing
10
1
10
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
2
9
18
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.X
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose
3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose...X
4Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questionsX
6Ability to work efficiently in intradisciplinary and multi-disciplinary teams; ability to work individually
7Ability to communicate effectively in Turkish, both orally and in writing knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice .
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable developmentX
11Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions .X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Bilal TOKLU)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/btoklu)
 -- EMAIL(S) OF LECTURER(S)
   (btoklu@gazi.edu.tr)