Guiding iterative optimisation methods to a predefined kind of optima for unconstrained optimisation problems

Author(s):  
Christina D. Nikolakakou ◽  
Athanasia N. Papanikolaou ◽  
Eirini I. Nikolopoulou ◽  
Theodoula N. Grapsa ◽  
George S. Androulakis
Author(s):  
Christina D. Nikolakakou ◽  
George S. Androulakis ◽  
Theodoula N. Grapsa ◽  
Eirini I. Nikolopoulou ◽  
Athanasia N. Papanikolaou

1991 ◽  
Vol 36 (3) ◽  
pp. 315-328 ◽  
Author(s):  
D.G. Mayer ◽  
D. Schoorl ◽  
D.G. Butler ◽  
A.M. Kelly

Materials ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1416
Author(s):  
Nur Aisyah Miza Ahmad Tamizi ◽  
Shayfull Zamree Abd Rahim ◽  
Abdellah El-hadj Abdellah ◽  
Mohd Mustafa Al Bakri Abdullah ◽  
Marcin Nabiałek ◽  
...  

Many studies have been done using recycled waste materials to minimise environmental problems. It is a great opportunity to explore mechanical recycling and the use of recycled and virgin blend as a material to produce new products with minimum defects. In this study, appropriate processing parameters were considered to mould the front panel housing part using R0% (virgin), R30% (30% virgin: 70% recycled), R40% (40% virgin: 60% recycled) and R50% (50% virgin: 50% recycled) of Polycarbonate (PC). The manufacturing ability and quality during preliminary stage can be predicted through simulation analysis using Autodesk Moldflow Insight 2012 software. The recommended processing parameters and values of warpage in x and y directions can also be obtained using this software. No value of warpage was obtained from simulation studies for x direction on the front panel housing. Therefore, this study only focused on reducing the warpage in the y direction. Response Surface Methodology (RSM) and Genetic Algorithm (GA) optimisation methods were used to find the optimal processing parameters. As the results, the optimal ratio of recycled PC material was found to be R30%, followed by R40% and R50% materials using RSM and GA methods as compared to the average value of warpage on the moulded part using R0%. The most influential processing parameter that contributed to warpage defect was packing pressure for all materials used in this study.


Author(s):  
Enrique Ruiz Zúñiga ◽  
Erik Flores García ◽  
Matías Urenda Moris ◽  
Masood Fathi ◽  
Anna Syberfeldt

Facility layout design is becoming more challenging as manufacturing moves from traditionally emphasised mass production to mass customisation. The increasing demand for customised products and services is driving the need to increase flexibility and adaptability of both production processes and their material handling systems. A holistic approach for designing facility layouts with optimised flows considering production and logistics systems constraints seems to be missing in the literature. Several tools, including traditional methods, analytic hierarchy process, multiple-attribute decision making, simulation, and optimisation methods, can support such a process. Among these, simulation-based optimisation is the most promising. This paper aims to develop a facility layout design methodology supported by simulation-based optimisation while considering both production and logistics constraints. A literature review of facility layout design with simulation and optimisation and the theoretical and empirical challenges are presented. The integration of simulation-based optimisation in the proposed methodology serves to overcome the identified challenges, providing managers and stakeholders with a decision support system that handles the complex task of facility layout design.


1995 ◽  
Vol 8 (6) ◽  
pp. 945-962 ◽  
Author(s):  
Dogan Alpsan ◽  
Michael Towsey ◽  
Ozcan Ozdamar ◽  
Ah Chung Tsoi ◽  
Dhanjoo N. Ghista

2008 ◽  
Vol 44 (22) ◽  
pp. 1291 ◽  
Author(s):  
D. Salas-Gonzalez ◽  
J.M. Górriz ◽  
J. Ramírez ◽  
A. Lass ◽  
C.G. Puntonet

1988 ◽  
Vol 72 (461) ◽  
pp. 242
Author(s):  
R. Davison ◽  
Brian D. Bunday ◽  
Gerald R. Garside
Keyword(s):  

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