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Multi-objective Production Systems Optimisation with Investment and Running Cost
Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.ORCID-id: 0000-0003-0111-1776
Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.ORCID-id: 0000-0002-9643-6233
2011 (engelsk)Inngår i: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing / [ed] Lihui Wang, Amos H. C. Ng, Kalyanmoy Deb, Springer London, 2011, s. 431-453Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

In recent years simulation-based multi-objective optimisation (SMO) of production systems targeting e.g., throughput, buffers and work-in-process (WIP) has been proven to be a very promising concept. In combination with post-optimality analysis, the concept has the potential of creating a foundation for decision support. This chapter will explore the possibility to expand the concept of introducing optimisation of production system cost aspects such as investments and running cost. A method with a procedure for industrial implementation is presented, including functions for running cost estimation and investment combination optimisation. The potential of applying SMO and postoptimality analysis, taking into account both productivity and financial factors for decision-making support, has been explored and proven to be very beneficial for this kind of industrial application. Evaluating several combined minor improvements with the help of SMO has opened the opportunity to identify a set of solutions (designs) with great financial improvement, which are not feasible to be explored by using current industrial procedures.

 

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Springer London, 2011. s. 431-453
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URN: urn:nbn:se:his:diva-5841DOI: 10.1007/978-0-85729-652-8_16ISBN: 978-0-85729-617-7 ISBN: 978-0-85729-652-8 OAI: oai:DiVA.org:his-5841DiVA, id: diva2:524837
Tilgjengelig fra: 2012-05-04 Laget: 2012-05-04 Sist oppdatert: 2018-05-14bibliografisk kontrollert

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