Routing of mobile resources with pso using chaotic randomness (chaotic-pso) for unexpected delivery failures in manufacturing
Yükleniyor...
Tarih
2016
Yazarlar
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Yayıncı
Marmara Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Dealing 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.
Açıklama
Anahtar Kelimeler
Particle Swarm Optimization, Chaotic Functions, Resource Planning and Routing
Kaynak
Marmara Journal of Pure and Applied Sciences
WoS Q Değeri
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Sayı
Özel Sayı: 1
