A Proposed Budgeting Planning Model for Bimodal Transportation in a Phosphate Supply Chain
Yassine Azougagh1, Khalid Benhida2, Said Elfezazi3, Noureddine, Dahmani4
1Yassine Azougagh, Laboratory Process, Signals, Industrials Systems and Computing (LAPSSII), Superior School of Technology Safi, Cadi Ayyad University, Marrakech, Morocco.
2Khalid Benhida Laboratory Process, Signals, Industrials Systems and Computing (LAPSSII), Superior School of Technology Safi, Cadi Ayyad University, Marrakech, Morocco.
3Said Elfezazi, Laboratory Process, Signals, Industrials Systems and Computing (LAPSSII), Superior School of Technology Safi, Cadi Ayyad University, Marrakech, Morocco.
4Noureddine Dahmani Laboratory Process, Signals, Industrials Systems and Computing (LAPSSII), Superior School of Technology Safi, Cadi Ayyad University, Marrakech, Morocco
Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 1647-1651 | Volume-8 Issue-4, November 2019. | Retrieval Number: C5077098319/2019©BEIESP | DOI: 10.35940/ijrte.C5077.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: To better understand supply chain behavior and to evaluate its performance, it is necessary to start a modeling process. For this purpose, various tools and approaches are used. Among these tools, the analytical models can be used. With this background, the purpose of this study is proposition of a generic model for the transportation budgeting planning problems in multi-sites, multi-products, multi-depots and multi-periods context. The main contribution of this paper is to develop an integrated budgeting planning model (Mixed Integer Programming) applied in a phosphate supply chain. The purpose of the developed model is to define the optimum transportation budget of products routed in the various entities of the studied supply chain, considering various constraints (Capacity of facilities, availability of product and transportation vehicles, customers demand…) in order to plan and define the optimum products quantities and the optimize the costs to feed stocks and satisfy customers.
Keywords: Bimodal Transport, Modelling, Planning Model, Platform Logistics, Supply Chain.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques.