Text

Course syllabus - Optimization in Virtual Production

Scope

2.5 credits

Course code

PPU481

Valid from

Autumn semester 2023

Education level

Second cycle

Progressive Specialisation

A1N (Second cycle, has only first-cycle course/s as entry requirements).

Main area(s)

Product and Process Development

School

School of Innovation, Design and Engineering

Ratified

2023-01-19

Literature lists

Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.

    • Ratified date: 2023-11-16
    • Latest update: 2023-11-16

    Books

    Gupta, Kapil.; Gupta, Munish Kumar.

    Optimization of Manufacturing Processes

    1st ed. 2020. : Cham : Springer International Publishing, 2020 - VIII, 232 p.

    ISBN: 9783030196387 LIBRIS-ID: hsdpmgm8ft2b1jtb

    URL: Tillgänglig för användare inom Mälardalens högskola

    Mandatory

    Hill, Richard

    Guide to industrial analytics : solving data science problems for manufacturing and the internet of things / Richard Hill, Stuart Berry

    uuuu-uuuu

    LIBRIS-ID: 9rlgjqmx78fdt7gn

    DOI: https://doi.org/10.1007/978-3-030-79104-9

    Mandatory

Objectives

The objective of this course is to develop understanding and competence in using industry-standard methods for the optimization of production systems in the context of virtual production. 

Learning outcomes

After completion of the course the student should be able to:
1. Describe the underlying principles of optimization theory. 
2. Apply gained knowledge to solve real-world production optimization problems. 
3. Demonstrate ability to communicate and critically assess the findings of optimization related to performance of production systems.

Course content

* Introduction to optimization methods   
* Model development and evaluation using industrial software 
* Multi-objective optimization of production systems
* Analysis and post-processing of results

Specific requirements

75 credits in mechanical engineering, production engineering, product and process development, industrial engineering and management, or equivalentor 40 credits in engineering/technology and at least 2 years' experience in full-time employment in a relevant area within industry.
In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.

Examination

Individual Assignment (INL1), 0,5 credit, examines learning outcomes 1 - 3, marks Fail (U) or Pass (G)
Project (PRO1), 2 credits, examines learning outcomes 2 - 3, marks Fail (U) or Pass (G)

A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.

Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.

Grade

Pass, Fail

Interim Regulations and Other Regulations

The course overlaps 2.5 credits with PPU452 Optimization of Production Systems and 2.5 credits with PPU460 Industry 4.0 - Optimization of production systems.