Hybrid Flow Shop Management: Multi Objective Optimisation

Lorenzo Lassig, Fabio Mazzer, Marino Nicolich, Carlo Poloni
2017 Procedia CIRP  
The response to the 10th edition of the CIRP ICME Conference in terms of number of submitted papers and their quality has confirmed the widespread interest in Intelligent Computation in Manufacturing Engineering, covering the whole of Production Engineering Research. The 108 accepted papers and 4 keynote papers were presented by authors from 24 countries and 5 continents, witnessing an altogether worldwide spread interest. The topics dealt with ranged from Manufacturing Systems issues (System
more » ... dellingMetrology and Quality) as well as emerging issues such as Energy and Resource Efficiency, Cognitive Systems, Digital Factory, Cyber Physical Systems, Cloud Based Manufacturing, and the Industry 4.0 framework. Last but not least, two Symposia where organized within this Conference edition with reference to Composite Materials Parts Manufacturing (CMPM, as an issues of the CIRP Collaborative Working Group on CMPM, and the International Workshop on Emergent Synthesis (IWES) in honour of its founder Prof. Kanji Ueda, Past President of the CIRP. Through this wide range of research topics, this CIRP ICME Conference aimed at providing an international forum for the exchange of up-to-date knowledge information, experiences and results as well as the review of R. Teti / Procedia CIRP 62 ( 2017 ) 1 -2 progress and the discussions on the state-of-the-art and future trends of in intelligent computing methods and artificial cognitive systems in the various sectors of advanced manufacturing technology and systems. The Conference represented an exciting opportunity for scientists and experts to meet, interact and share ideas about this highly dynamic research field. Last but not least, the Conference offered the opportunity to visit (or revisit) Ischia, the "green" island in the Gulf of Naples, world wide famous for its beauty and enchantment, while concentrating on manufacture science and engineering issues. I should like to express my deep gratitude to all the people and organisations that contributed to the realization Abstract The objectives of the optimisation management that considers both assembly and production Hybrid Flow-Shops lines are several: optimal numbers of machines, shifts, product priority and time-period scheduling. The approach uses a combination of DES software with an MDO (Multidisciplinary Design Optimization) software.. The DES model is optimized following the process: 1) A Multi-objective Genetic Algorithm cycle generates a set of optimal solutions; 2) A Clustering cycle groups the solutions into different sets; 3) The selection of the preferred solution via post-processing; 4) A mono-objective optimisation of each cluster; and 5) creation of weekly scheduling with optimal results. Finally, application and results are described and discussed.
doi:10.1016/j.procir.2016.06.007 fatcat:eah6yopuzfhutayzbzlygqrz34