ENM5242 Service Operations ManagementBahçeşehir UniversityDegree Programs ELECTRICAL AND ELECTRONICS ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ELECTRICAL AND ELECTRONICS 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) Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
3) Ability 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. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.)
4) Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Awareness of professional and ethical responsibility.
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.