Routing of mobile resources with pso using chaotic randomness (chaotic-pso) for unexpected delivery failures in manufacturing

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dc.authorid0000-0003-1250-5949en_US
dc.contributor.authorÖzpınar, Alper
dc.contributor.authorKüçükaşçı, Emel Şeyma
dc.date.accessioned2019-08-08T13:12:38Z
dc.date.available2019-08-08T13:12:38Z
dc.date.issued2016en_US
dc.departmentFakülteler, Mühendislik ve Tasarım Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractDealing with short term and long term production planning and scheduling has already been solved with different optimization and artificial methods and approaches. Under normal manufacturing conditions supply and demand progress controlled and supported by decision support systems, ERP and MRP software packages aiming maximum utilization of resources and minimizing the stocks aiming for JIT. These software packages becoming even more intelligent and proactive based on the data in the database systems. However all these systems start with initial assumption of under normal conditions of flow time ordering to delivering. In case of unplanned stops, failures, malfunctions, shortages of unplanned inventory levels alter these initial conditions and progress to a diverging outcomes and consequences. This paper aiming a dynamic allocation and routing of mobile resources in a manufacturing plant by reallocating them by using a modified Particle Swarm Optimization using Chaotic Randomness.en_US
dc.identifier.doi10.7240/mufbed.81794en_US
dc.identifier.endpage21en_US
dc.identifier.issueÖzel Sayı: 1en_US
dc.identifier.startpage14en_US
dc.identifier.urihttps://hdl.handle.net/11467/2860
dc.identifier.urihttps://doi.org/10.7240/mufbed.81794
dc.language.isoenen_US
dc.publisherMarmara Üniversitesien_US
dc.relation.ispartofMarmara Journal of Pure and Applied Sciencesen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectParticle Swarm Optimizationen_US
dc.subjectChaotic Functionsen_US
dc.subjectResource Planning and Routingen_US
dc.titleRouting of mobile resources with pso using chaotic randomness (chaotic-pso) for unexpected delivery failures in manufacturingen_US
dc.typeArticleen_US

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