Special Topics in IE:Managing New Product Development (IE 48001)

2019 Spring
Faculty of Engineering and Natural Sciences
Industrial Engineering(IE)
3
5.00 / 5.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Memet Ünsal memet.unsal@sabanciuniv.edu,
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English
Undergraduate
--
Interactive lecture,Workshop
Interactive,Learner centered,Communicative,Discussion based learning,Project based learning,Task based learning,Simulation
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CONTENT

OBJECTIVE

The mission of this course is to give the students a thorough understanding of the processes that go into the development of a new product. The question of what it takes to turn an idea into a product is asked and detailed project management tools are examined as they relate to new product development (NPD). As case study, the Fast-Moving Consumer Goods (FMCG) industry is examined. The intent of the course is to give the students a good understanding of the topics by providing real life examples and to always question and provide the logic behind decisions in real life scenarios. In comparison to established industries, new ways of NPD from the startup world are also examined. With manufacturing and prototyping methods more easily accessible to individuals and startups, emerging trends in NPD are discussed with examples from digital manufacturing, IoT, new habits of working, creation, and obtaining funding which lead to innovative new products. Finally, the students understand how ERP systems are used today and the impact of digitalization on the potential uses of ERP systems in manufacturing and supply chain as they relate to NPD.

Teamwork and flipped classroom methods are partially used in this course. The students work individually most of the time until the midterm. After the midterm, teams are formed, and the rest of the course work will be done in teams.

A hybrid approach of traditional and flipped classroom methods are used in this course. Flipped classroom is a method where preparation is done by the students before classroom either by watching/reading the material provided by the lecturer or by researching about the topics themselves and the class time is reserved for application, analysis and teamwork for their projects with the mentoring of the lecturer. Flipped classroom is used partially in the course. The rest of the course is done in the traditional way where the lecturer explains the topics in the classroom.

This class prioritizes practical knowledge and the students are expected to apply the NPD and project management concepts they learn to their new product ideas of their choice. Outside of class, they will research their market, talk to experts, strategize on how to bring their idea to life, and spend time on the field. The outcome will be presented by each individual for their midterm exam. Between midterm and finals, the students learn about some of the fundamental tools of entrepreneurship. They will form teams and apply these tools to their new product ideas and present the outcome during their final presentation in teams.

It is the wish of the lecturer to give the students a healthy mix of theory, real life examples and success stories, a glimpse into emerging trends in the world and hopefully inspiration for career choice.

LEARNING OUTCOME

Understand New Product Development (NPD) processes

Learn project management tools as they relate to NPD
Simulate a NPD project using the project management tools learned in the course
Get a good understanding of new trends in NPD

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. 4

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. 5

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 5

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. 5


1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5

4. Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 4

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 5

6. Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 5

7. Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 5


1. Use mathematics (including derivative and integral calculations, probability and statistics), basic sciences, computer and programming, and electronics engineering knowledge to design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software.

2. Analyze and design communication networks and systems, signal processing algorithms or software using advanced knowledge on differential equations, linear algebra, complex variables and discrete mathematics.


1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools.

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems.

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa.


1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 4

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 5

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 3

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 30
Midterm 20
Participation 20
Group Project 20
Other 10