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

Ameen Alawneh, Mahmoud Alrefaei, Ali Diabat, Raid Al-Aomar, Mohamed N. Faisal

    Research output: Contribution to journalConference article

    Abstract

    In 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.

    Original languageEnglish (US)
    JournalLecture Notes in Engineering and Computer Science
    Volume2210
    Issue numberJanuary
    StatePublished - Jan 1 2014
    EventInternational MultiConference of Engineers and Computer Scientists, IMECS 2014 - Kowloon, Hong Kong
    Duration: Mar 12 2014Mar 14 2014

    Fingerprint

    Supply chain management
    Supply chains
    Steel
    Raw materials
    Industry
    Linear programming
    Sensitivity analysis

    Keywords

    • GAMS software
    • Linear programming
    • Sensitivity analysis
    • Supply chain management

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)

    Cite this

    An LP model for optimizing a supply chain management system for steel company. / Alawneh, Ameen; Alrefaei, Mahmoud; Diabat, Ali; Al-Aomar, Raid; Faisal, Mohamed N.

    In: Lecture Notes in Engineering and Computer Science, Vol. 2210, No. January, 01.01.2014.

    Research output: Contribution to journalConference article

    Alawneh, Ameen ; Alrefaei, Mahmoud ; Diabat, Ali ; Al-Aomar, Raid ; Faisal, Mohamed N. / An LP model for optimizing a supply chain management system for steel company. In: Lecture Notes in Engineering and Computer Science. 2014 ; Vol. 2210, No. January.
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