An LP model for optimizing a supply chain management system for steel company

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dc.contributor.authorAlawneh, Ameen
dc.contributor.authorAlrefaei, Mahmoud
dc.contributor.authorAomar, Raid Al
dc.contributor.authorETAL..
dc.date.accessioned2022-01-05T12:01:23Z
dc.date.accessioned2023-08-20T11:14:03Z
dc.date.available2022-01-05T12:01:23Z
dc.date.available2023-08-20T11:14:03Z
dc.date.issued2014-03
dc.descriptionSupply chain management (SCM) has attracted ever increasing attention over the last two decades in response to a highly competitive and globalized marketplace and the pressure to cut the cost of creating and delivering value tocustomers. A supply chain is an integrated system which synchronizes a series of inter-related business processes in order to:
dc.description.abstractIn this research, we have developed a linear programming formulation to describe Qatar steel manufacturing supply chain from suppliers to consumers. The purpose of the model is to provide answers regarding the optimal amount of raw materials to be requested from suppliers, the optimal amount of finished products to be delivered to each customer and the optimal inventory level of raw materials. The model is validated and solved using GAMS software. Sensitivity analysis on the proposed model is conducted in order to draw useful conclusions regarding the factors that play the most important role in the efficiency of the supply chain.en_US
dc.identifier.citationAlawneh, A., Alrefaei, M., Diabat, A., Al-Aomar, R., & Faisal, M. N. (2014). An LP model for optimizing a supply chain management system for steel company. In Proceedings of the International MultiConference of Engineers and Computer Scientists (Vol. 2).en_US
dc.identifier.urihttps://edms.wexl.in/handle/1/2123
dc.language.isoenen_US
dc.publisheriaeng.orgen_US
dc.subjectSupply chain managementen_US
dc.subjectLinear programmingen_US
dc.subjectGAMS softwareen_US
dc.subjectSensitivity analysisen_US
dc.titleAn LP model for optimizing a supply chain management system for steel companyen_US
dc.title.alternativeJournal articleen_US
dc.typeArticleen_US

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