COURSE SYLLABUS

PRODUCTION SYSTEMS

1	Course Title:	PRODUCTION SYSTEMS
2	Course Code:	END5110
3	Type of Course:	Optional
4	Level of Course:	Second Cycle
5	Year of Study:	1
6	Semester:	2
7	ECTS Credits Allocated:	7,5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. ERDAL EMEL
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	erdal@uludag.edu.tr Tel: 0224 294 2080 Endüstri Mühendisliği Bölümü, Mühendislik Mimarlık Fakültesi Bursa Uludağ Üniversitesi, Görükle, Bursa
18	Website:	http://endustri.uludag.edu.tr
19	Objective of the Course:	This course aims to teach an engineering approach to the design of production systems in terms of flow modeling and its mathematical representation. Lean manufacturing systems in terms of flow modeling and mathematical notation in terms of integer programming models are the main materials of the course. Throughout the course lectures with the purpose of developing students’ skills practical assignments and project work of system modeling and optimization will be covered.
20	Contribution of the Course to Professional Development	Efficient and efficient operation of production systems for product or service production depends primarily on their being designed in a flow order with the most appropriate structure for the purpose. This design requires a selection among alternative flow patterns and determination of the most appropriate design parameters for the chosen model. In this direction, the aim of the course is, To introduce students to in-depth modeling and analysis of work flow dynamics that shape the functioning and performance of contemporary production systems, To give students the experience of using their stochastic modeling and analysis infrastructures in practical problems and applications, To teach students not only the specific models and algorithms covered in the course, but also the thinking processes and broader methodology underlying the development of the results presented The course is primarily to apply the subjects to all other areas that involve a structured workflow in healthcare and similar service industries, while operating through applications taken from the manufacturing field.

Learning Outcomes:

1	Gain the ability to define strategies and basic concepts of production systems;
2	The ability to define the role of production systems within the company's business strategies;
3	Ability to explain the effects operating efficiency of production systems and strategies;
4	To be adequately equipped in designing the most suitable production systems and processes, compatible with business management objectives ;
5	The ability of conducting business and time studies based on process analysis;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to Production Systems, Basic Probability Review
2	Basic Probability Review
3	Introduction to Factory Models
4	Single Workstation Factory Models
5	Processing Time Variability, Multiple-Stage Single-Product Factory Models
6	Multiple-Stage Single-Product Factory Models
7	Multiple Product Factory Models
8	Multiple Product Factory Models
9	Models of Various Forms of Batching
10	Models of Various Forms of Batching
11	WIP Limiting Control Strategies
12	WIP Limiting Control Strategies
13	Serial Limited Buffer Models
14	Serial Limited Buffer Models

23	Textbooks, References and/or Other Materials:	G. L. Curry and R. M. Feldman, “Manufacturing Systems Modeling and Analysis” (2nd ed.), Springer, 2011Lean Thinking, J.P.Womack, D. T. Jones, Sistem Yayıncılık, 1998. Design and Analysis of Lean Production Systems, Ronald G. Aksin, Jeffrey B. Goldberg, John Wiley and Sons, 2002. Kanban-Controlled Manufacturing Systems, Georg N. Krieg, Springer-Verlag, 2005. Production Planning by Mixed Integer Programming, Yves Pochet, Laurence A. Wosley, Springer-Verlag, 2006. Model Building in Mathematical Programming, H. Paul Williams, John Wiley and Sons, 2005. Applied Integer Programming: Modeling and Solution, Der-San Chen, R. G. Batson, Y. Dang, John Wiley and Sons, 2010.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	0	0
Quiz	2	30
Homeworks, Performances	3	30
Final Exam	1	40
Total	6	100
Contribution of Term (Year) Learning Activities to Success Grade		60
Contribution of Final Exam to Success Grade		40
Total		100
Measurement and Evaluation Techniques Used in the Course	Assessmente of knowledge and skills through exams and assignments
Information

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	14	7	98
Homeworks, Performances	3	3	6
Projects	2	38	76
Field Studies	0	0	0
Midtermexams	0	2	0
Others	0	0	0
Final Exams	1	2	2
Total WorkLoad			224
Total workload/ 30 hr			7,6
ECTS Credit of the Course			7,5

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

	PQ1	PQ2	PQ3	PQ4	PQ5	PQ8	PQ9	PQ11	PQ12	PQ13
LO1	0	4	3	0	5	3	4	3	4	5
LO2	5	3	0	3	0	4	0	0	4	0
LO3	5	3	4	3	0	0	4	0	5	0
LO4	5	4	4	3	0	3	0	0	0	3
LO5	3	4	0	0	0	4	5	0	0	4

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High