Product/process modeling and analysis; facility site selection and layout; material and information flow; shop floor control systems; assembly lines; manufacturing lines; shop scheduling; flexible manufacturing systems; group technology.
Production and Service Systems Planning and Design (IE 304)
2024 Spring
Faculty of Engineering and Natural Sciences
Industrial Engineering(IE)
3
6
Bülent Çatay catay@sabanciuniv.edu,
Click here to view.
English
Undergraduate
IE301 IE311 MS301
Formal lecture,Interactive lecture,Recitation
Interactive,Learner centered,Communicative,Discussion based learning
Click
here
to view.
| Programs\Type | Required | Core Elective | Area Elective |
| Industrial Engineering | * | ||
| Industrial Engineering (Previous Name: Manufacturing Systems Engineering) | * | ||
| Materials Science and Nano Engineering | * | ||
| Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) | * |
CONTENT
OBJECTIVE
This course is intended to introduce the students to the design and operation of manufacturing and service facilities. We will present a conceptual description and classification of modern production environments and address major issues faced during the planning and control of their operation. We will focus on the decomposition of the overall production planning and control problem to a number of subproblems, and the development of quantitative techniques and analytical tools for addressing the arising subproblems. The topics include (but are not limited to) assembly lines, sequencing and scheduling, flexible manufacturing systems, group technology and cellular manufacturing, and facilities planning and design. Although the focus is on manufacturing systems, emphasis will be given to introduce the application of methodologies covered for manufacturing systems to service systems as well.
The students are expected to have a solid background in formulating linear programming models. GUROBI solver will be used with Python to model and solve the production planning problems. Although it is not a prerequisite, it is strongly recommended that you had taken and passed IE 312.
LEARNING OUTCOMES
- Studying different production systems and assembly line balancing via modeling and heuristics
- Designing manufacturing cells by applying group technology
- Modeling and solving machine scheduling problems
- Modeling and solving facility layout and location problems
PROGRAMME OUTCOMES
1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2
2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 3
3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself. 3
4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4
5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 2
1. Possess sufficient knowledge of mathematics, science, fundamental engineering, computational methods and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 4
2. Identify, define, formulate and solve complex engineering problems while considering the UN Sustainable Development Goals; choose and apply suitable analysis, design, estimation/prediction and modeling methods for this purpose. 4
3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; use information technologies effectively. 3
4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling creative current and future requirements. 2
5. Use research methods, including conducting literature reviews, designing experiments, performing experiments, collecting data, analyzing results, and interpreting results, to investigate complex engineering problems or discipline-specific research topics. 1
6. Possess knowledge of business practices such as project management, risk management, change management, and economic feasibility analysis; awareness on entrepreneurship and innovation. 2
7. Possess knowledge of impact of engineering solutions on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals; awareness on legal outcomes of engineering solutions; awareness of acting impartially and inclusively without any form of discrimination; act in accordance with ethical principles, possessing knowledge of professional and ethical responsibilities. 2
8. Communicate effectively, both orally and in writing, on technical subjects, considering the diverse characteristics of the target audience (such as education, language, and profession). 2
Update Date:
ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Final | 40 |
| Midterm | 40 |
| Quiz | 20 |
RECOMENDED or REQUIRED READINGS
| Textbook |
Modeling and Analysis of Manufacturing Systems. R.G. Askin and C.R. Standridge, John Wiley, 1993. [TS155.6 .A75 1993] |
| Optional Readings |
Production and Operations Analysis. S. Nahmias, Irwin/McGraw-Hill, 2013. [TS155 .N34 2013] |