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Interactive Scheduling Decision Support System a Case Study for Fertilizer Production on Supply Chain

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ICT for a Better Life and a Better World

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 30))

Abstract

This paper presents the architecture of an interactive scheduling decision support system (ISDSS) allowing users to find the optimal solution for fertilizer production on parallel heterogeneous processors. The proposed approach takes into account different production process constraints such as launch time, delivery date, preventive maintenance and the impact of scheduling on supply chain management. The ISDSS implemented is run by a relational database used to customize the structural data and the problem parameters. A user interface is available for ISDSS users to define the scheduling problem and design the solution based on tables and graphs for detecting possible issues. The ISDSS architecture was implemented on java using independent modules.

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Author information

Authors and Affiliations

  1. EMINES, University Mohammed VI Polytechnic, 43140, Ben Guerir, Morocco

    Ahlam Azzamouri, Imane Essaadi, Selwa Elfirdoussi & Vincent Giard

  2. Paris-Dauphine, PSL Research University, 75016, Paris, France

    Vincent Giard

  3. Paris Ouest Nanterre University, 92001, Nanterre Cedex, France

    Ahlam Azzamouri & Imane Essaadi

Authors
  1. Ahlam Azzamouri
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  2. Imane Essaadi
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  3. Selwa Elfirdoussi
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  4. Vincent Giard
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Corresponding author

Correspondence to Selwa Elfirdoussi .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Sultan Qaboos University, Muscat, Oman

    Youcef Baghdadi

  2. Business Department, Paris Nanterre University, Nanterre, France

    Antoine Harfouche

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Azzamouri, A., Essaadi, I., Elfirdoussi, S., Giard, V. (2019). Interactive Scheduling Decision Support System a Case Study for Fertilizer Production on Supply Chain. In: Baghdadi, Y., Harfouche, A. (eds) ICT for a Better Life and a Better World. Lecture Notes in Information Systems and Organisation, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-10737-6_9

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