Applied real-valued genetic algorithm for an extended model of economic lot, purchase and delivery scheduling problem

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dc.contributor.authorHasheminejad, Seyed Ali
dc.contributor.authorValipour, Khadijeh
dc.contributor.authorKhoshnood, Hamid
dc.contributor.statusnemhu_HU
dc.date.accessioned2022-06-17T13:54:49Z
dc.date.available2022-06-17T13:54:49Z
dc.date.issued2022-06-16
dc.description.abstractSupply chain management intends to integrate supply chains' activities such as material flow, information flow and financial issues. Material flow management is the most significant issue since the inventory level in the whole supply chain could be optimized by an integrated plan. In other words, when one member of the supply chain plans to reduce its inventory level solely, despite reducing inventory in this node the inventory will be stocked in other partners' warehouses. Therefore, in this paper a new mathematical model has been developed to facilitate the process of finding the optimum solution in economic production, purchase and delivery lots and their schedules in a three-echelon supply chain environment; including raw material in suppliers, manufacturer and assembly facility as a customer. The manufacturer with a flow shop system provides its requirements from supplier, assemble multiple products, and delivers products to the customer (automotive OEM alike) on an optimum multiple delivery points. The delivery cycles would be identified through the production common cycle regarding the supply chain flexibility. Finally, a modified real-valued Genetic Algorithm (MRGA), and an Optimal Enumeration Method (OEM) are developed, and some numerical experiments have been done and compared as well.hu_HU
dc.identifier.doi10.1556/1848.2021.00334hu_HU
dc.identifier.issn2062-0810
dc.identifier.issue2hu_HU
dc.identifier.jtitleInternational Review of Applied Sciences and Engineering
dc.identifier.urihttp://hdl.handle.net/2437/335477
dc.identifier.urlhttps://akjournals.com/view/journals/1848/13/2/article-p197.xmlhu_HU
dc.identifier.volume13hu_HU
dc.language.isoenhu_HU
dc.publisherAkadémiai Kiadóhu_HU
dc.subjectsupply chainhu_HU
dc.subjectcommon cyclehu_HU
dc.subjecteconomic lot and scheduling problemhu_HU
dc.subjectflow shop systemhu_HU
dc.subjectreal-valued GAhu_HU
dc.titleApplied real-valued genetic algorithm for an extended model of economic lot, purchase and delivery scheduling problemhu_HU
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International Review of Applied Sciences and Engineering