Course Name Code Semester T+U Hours Credit ECTS
Quantitative Models For Smart Supply Chain ENM 553 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi ALPER GÖKSU
Course Lecturers
Course Assistants
Course Category
Course Objective

It is aimed to use numerical models to solve supply chain problems, to understand in depth, to use artificial intelligence methods for new researches.

Course Content

Fuzzy modeling for supply chain uncertainty, Design of supply chain networks, Supply chain inventory management, Reverse logistics, Modeling of supply chain contracts, Decision making models for supply chain management, Intelligent supply chain analysis and design, Intelligent supply chain modeling, Object Oriented Intelligent Supply Chain Analysis and Modeling, Intelligent Supply Chain System Input, Output and Interface Design, Object Oriented Intelligent Supply Chain System Design and Modeling, Intelligent Supply Chain System Installation and Maintenance, Intelligent Supply Chain System Sample Applications.

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Comprehend and evaluate the necessity of intelligent supply chain systems analysis. Lecture, Question-Answer, Drilland Practice, Testing, Homework,
2 Interpret the relationship between intelligent supply chain system modules. Lecture, Question-Answer, Drilland Practice, Testing, Homework,
3 Compares intelligent supply chain systems using analysis methods. Lecture, Question-Answer, Testing, Oral Exam,
4 Compare and evaluate the methods commonly used in intelligent supply chain systems analysis. Lecture, Question-Answer, Drilland Practice, Testing, Oral Exam,
Week Course Topics Preliminary Preparation
1 Fuzzy modeling for supply chain uncertainties
2 Design of supply chain networks
3 Inventory management in the supply chain
4 Reverse logistics
5 Modeling of supply chain contracts
6 Decision making models for supply chain management
7 Intelligent supply chain analysis and design
8 Intelligent supply chain modeling
9 Object Oriented Intelligent Supply Chain Analysis and Modeling I
10 Object Oriented Intelligent Supply Chain Analysis and Modeling II
11 Intelligent Supply Chain System Input, Output and Interface Design
12 Object Oriented Intelligent Supply Chain System Design and Modeling
13 Smart Supply Chain System Installation and Maintenance
14 Smart Supply Chain System Sample Applications
Resources
Course Notes <p>Course notes from www.sabis.sakarya.edu.tr will be shared.</p>
Course Resources

1. Lai, Y.J. and Hwang, C.L. 1992. Fuzzy mathematical programming: methods and applications, Springer-Verlag.

2. Tayur, S., Ganeshan, R., Magazine, M. (Eds), 1999. Quantitative models for supply chain management, Kluwer Academic Publishers.

3. Klose, A., Speranza, M.G., and Van Wassenhove, L.N. (Eds), 2002. Quantitative approaches to distribution logistics and supply chain management, Lecture notes in economics and Mathematical systems, Springer.

4. Chopra, S., Meindl, P. 2010. Supply chain management: Strategy, planning, and operation, 4th edition, Prentice Hall.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information. X
2 Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines. X
3 To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions. X
4 Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs. X
5 Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process. X
6 Identify the information and data needed, reach them and evaluate them at an advanced level. X
7 Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility. X
8 To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field. X
9 Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits. X
10 Awareness about new and developing practices of the profession; to examine and learn them when necessary. X
11 To understand the social and environmental dimensions of engineering applications and to adapt to the social environment. X
12 To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 20
1. Proje / Tasarım 30
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 10 10
Quiz 1 10 10
Assignment 1 10 10
Project / Design 1 20 20
Final examination 1 10 10
Total Workload 140
Total Workload / 25 (Hours) 5.6
dersAKTSKredisi 6