ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
ENM5242	Service Operations Management	Spring	3	0	3	12

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Assoc. Prof. BARIŞ SELÇUK
Recommended Optional Program Components:	N.A.
Course Objectives:	This course is intended to provide students with in depth knowledge of principles and theory of service operations management. The broad topic of service operations management will be studied from an integrated viewpoint with a focus on customer satisfaction and service delivery. This course will provide students with the concepts and tools necessary to understand the distinctive characteristics of services and provide solutions for important management problems. The topics that are covered in this course include understanding and describing service systems, designing services, managing and improving service quality, and managing demand and supply in service operations.

Learning Outcomes

The students who have succeeded in this course;
I. Define the distinctive characteristics of services.
II. Describe a service by using the service package concept.
III. Describe a service’s front-stage and backstage activities and illustrate the blue-print of a service.
IV. Describe five different quality gaps of service. Identify these gaps in case studies.
V. Illustrate the process flow diagram of a service.
VI. Identify bottleneck activities, calculate rush order flow times, cycle times and throughput times of a service.
VII. Use linear programming to construct DEA models of different service units. Solve the DEA model and identify efficient and inefficient service units.
VIII. Find the optimal location of a service facility by using cross-median approach.
IX. Find the optimal location of a service facility by using euclidean approach.
X. Use Huff retail location model to calculate the market share of a service facility in a competitive environment.
XI. Describe the overbooking strategy used in airlines and hotels. Define booking limits and protection levels.
XII. Find the optimal booking limits for a reservation system by using theories of optimization and probability.
XIII. Describe a queueing system by identifying its queue configuration, queue discipline, arrival pattern, service pattern and capacity.
XIV. Describe the psychological aspects of waiting lines.
XV. Use queueing theory to calculate the average waiting time per customer, average number of customers in the queue.

Course Content

Service definition, service package, characteristics of service, service quality, managing demand and supply in service, service facility location decisions, queuing theory applications in service, data envelopment analysis, revenue management.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Understanding Services: Introduction to Service Operations Management, Characteristics and Classification of Services, Service Strategies
2)	Service Design: Generic Approaches, Service Blueprinting, Service Quality
3)	Service Design: Generic Approaches, Service Blueprinting, Service Quality
4)	Service Design: Service Processes Improvement, Data Envelopment Analysis
5)	Service Design: Data Envelopment Analysis
6)	Service Design: Service Facility Location
7)	MIDTERM I
8)	Managing Service Operations: Managing Capacity and Demand, Yield Management
9)	Managing Service Operations: Yield Management
10)	Managing Service Operations: Yield Management
11)	Quantitative Models for Service Management: Capacity Planning and Queuing Models, Preparation for MIDTERM II Exam
12)	MIDTERM II
13)	Quantitative Models for Service Management: Capacity Planning and Queuing Models
14)	Review
15)	Preparation for the final exam
16)	FINAL

Sources

Course Notes / Textbooks:	Fitzsimmons, James A. and Mona J. Fitzsimmons, Service Management: Operations, Strategy, Information Technology, 7th Edition, McGraw-Hill, Singapore, 2008.
References:	Johnston, Robert and Graham Clark, Service Operations Management: Improving Service Delivery, 3rd Edition, Prentice Hall, London, 2008.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	5	% 15
Midterms	2	% 50
Final	1	% 35
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 65
PERCENTAGE OF FINAL WORK		% 35
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	12	3	36
Homework Assignments	5	10	50
Midterms	2	32	64
Final	1	50	50
Total Workload			200

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.