Open AccessA Proposed Budgeting Planning Model for Bimodal Transportation in a Phosphate Supply Chain
Author(s) -
Yassine Azougagh,
Khalid Benhida,
Saïd Elfezazi,
Noureddine Dahmani
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5077.118419
Subject(s) - supply chain , context (archaeology) , order (exchange) , plan (archaeology) , process (computing) , product (mathematics) , operations research , computer science , transportation planning , business , operations management , transport engineering , economics , engineering , marketing , mathematics , history , paleontology , geometry , archaeology , finance , biology , operating system
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.