DSS approach for heterogeneous parallel machines scheduling considering proximate supply chain constraints

Azzamouri, Ahlam; Bara, Najat; Elfirdoussi, Selwa; Essaadi, Imane; Fontane, Frédéric; Giard, Vincent

Azzamouri, Ahlam; Bara, Najat; Elfirdoussi, Selwa; Essaadi, Imane; Fontane, Frédéric; Giard, Vincent (2019), DSS approach for heterogeneous parallel machines scheduling considering proximate supply chain constraints, International Journal of Production Research. 10.1080/00207543.2019.1661539

Type

Article accepté pour publication ou publié

Date

2019

Journal name

International Journal of Production Research

Publisher

Taylor & Francis

Publication identifier

10.1080/00207543.2019.1661539

Metadata

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Author(s)

Azzamouri, Ahlam
autre
Bara, Najat
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Elfirdoussi, Selwa
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Essaadi, Imane
autre
Fontane, Frédéric

Giard, Vincent
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]

Abstract (EN)

This paper describes the basis of a Decision Support System (DSS) designed to schedule fertilizer production orders to be delivered within time windows, in plants made up of multiple heterogeneous parallel processors (production lines), considering that fertilizer production rates and nomenclatures depend on lines, that setup times depend on sequence and lines, and taking into account downtime constraints (preventive maintenance…). A mixed linear programming model is encapsulated in the DSS which considers the schedule’s impacts, immediately upstream and downstream of plants in the supply chain. These side-effects may make the proposed solution unfeasible and the DSS helps redefining the problem to avoid them.

Subjects / Keywords

Decision Support System; optimization; scheduling; heterogeneous parallel processors; sequence dependent setup; non-availability constraints; supply chain