TR
11111

COURSE INTRODUCTION AND APPLICATION INFORMATION

dlm.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
None
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s) -
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Will be able to relate their theoretical knowledge on logistics and supply chain management with real processes.
  • Will gain pre-experience on the interrelations and interactions among related logistics functions and among internal and external parties taking part in the scope of a company’s supply chain.
  • Will be able to improve their skills on enhancing the logistics processes, realizing problems or taking necessary actions.
  • Will improve on commenting about logistics related cost items as well as logistics decisions effecting costs, on analyzing the results, on evaluating, on identifying bottlenecks and on enhancing.
  • Will be able to learn the organizational structure and main concepts practically through the applications realized as well as be informed and experienced on some key issues like management, analysis, decision making, strategy and system development.
  • Will be informed and experienced on reporting techniques and on the importance of effective and accurate reporting at all logistics processes.
  • Will be informed and experienced on various logistics modules of enterprise resource planning tools and improve their skills on identifying the existing errors as well as bottlenecks.
  • Will be able to perform main logistics processes through enterprise resource planning tools (Netsis ERP) and effectively get prepared to real business life with the help of the education given parallel to real processes by performing logistics and supply chain management business flows both with physical material flows and with enterprise resource planning software systems.
Course Description

 



Course Category

 Core Courses
Major Area Courses
X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Main Concepts in Logistics and Supply Chain Management
2 An Overview to Internal and External Processes of Logistics and Supply Chain Management
3 The Role of Enterprise Resource Planning Tools in Logistics and Supply Chain Process Management (The Introduction of Main Modules on Software System)
4 The Importance of Database in Logistics and Supply Chain Management and Generating the Database (Material Definitions, End Product Definitions, Supplier / Customer Definitions, Bill of Materials, Stock Creation...etc)
5 Enterprise Resource Planning Modules within the Scope of Logistics and Supply Chain Management (Item, Invoice, Stock Modules)
6 Enterprise Resource Planning Modules within the Scope of Logistics and Supply Chain Management (Production / Materials Planning, MRP Modules) Homework I
7 Enterprise Resource Planning Modules within the Scope of Logistics and Supply Chain Management (Quality, Production, Reporting Modules)
8 Managing Internal and External Supply Chain Processes with the Support of Enterprise Resource Planning (General Introduction to the Laboratory Application / Training) Assignment of Roles to Groups (Planning, Purchasing / Warehouse, Production Teams)
9 Performing Main Processes at Business Environment Setup in Laboratory with General Involvement (Applications Lab)
10 Performing Main Processes at the Business Environment Setup in Laboratory based on Role Assignments (Applications Lab) Homework II
11 Experiencing Laboratory Applications in Free Workshops (Applications Lab)
12 Final Exam: Scenario Applications and Presentation of Planning Team in Laboratory Environment (Applications Lab) Final Report Submission
13 Final Exam: Scenario Applications and Presentation of Purchasing and Warehouse Teams in Laboratory Environment (Applications Lab)
14 Final Exam: Scenario Applications and Presentation of Production Team in Laboratory Environment (Applications Lab)
15 Review of the Course
16 Review of the Semester  
Course Notes/Textbooks Khalid Sheikh, “Manufacturing Resource Planning (MRP II) with Introduction to ERP, SCM, CRM (Mc Graw Hill) Carol A. Ptak, Eli Schragenheim, “ERP: tools, techniques, and applications for integrating the supply chain” (St.Lucia Press) Scott Hamilton, “Maximzing your ERP System: A Practical Guide for Managers” (Mc Graw Hill)
Suggested Readings/Materials Training Documents of Netsis Software A.Ş.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
15
5
Laboratory / Application
15
20
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
15
Presentation / Jury
Project
1
35
Seminar / Workshop
Oral Exam
Midterm
1
25
Final Exam
Total

Weighting of Semester Activities on the Final Grade
65
Weighting of End-of-Semester Activities on the Final Grade
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
3
Study Hours Out of Class
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
20
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exam
Midterms
1
15
Final Exams
    Total
171

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
 Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Be able to analyze complex problems and bring a multidimensional perspective to problems by creating a synthesis of ideas with the practical education they are taking in the field of logistics and supply chain and realize the improvable areas by the help of their independent thinking abilities and have the ability to provide opportunities with innovative processes X
2

Know the sector well by working in projects together with industry partners to solve real life problems and to support social responsibility activities and be able to identify and solve the problems with the help of their experience in project management and teamwork 

 X
3 Be able to find creative solutions to the problems they face in the academic or professional areas while considering the goals and the constraints in logistics and supply chain operations with the help of their interdisciplinary education X
4

Be able to take place in the sector related communications networks, follow up the changes and improve themselves accordingly when necessary in order to keep their personal and professional competencies within their business sector

 X
5

Have information about the sector related market leaders, professional organizations and their positions in the sector

 X
6 Be able to use the current and widely used software, information and communication technologies in the fields of logistics management and supply chain and identify the strengths and weaknesses of these X
7 Be able to prevent the problems that may evoke from communication issues of the groups they take part in by taking proactive decisions X
8 Be able to foresee the unexpected problems and uncertainties in the processes and manage these with flexible, effective and quick solutions; X
9 Have the necessary skills to understand the coordination mechanisms and undertake part in the integration between the departments and members of the supply chain; X
10 Be able to analyze the logistics and supply chain management processes using management science perspective and analytical approaches, analyze relevant concepts and ideas with scientific methods, interpret and evaluate the data X
11 Be able to use the theoretical methods related to design, planning and decisionmaking within the scope of logistics activities in the application areas X
12 Be able to interpret and evaluate the classical and contemporary theories in the field of logistics and supply chain considering the developments, changes and trends in the sector X
13 To be able to speak a second foreign at a medium level of fluency efficiently X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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