Mill-scale supply chain and logistics model integration for improved decision support

Le Gal Pierre-Yves, Bezuidenhout Carel N., Lyne Peter W.L.. 2007. Mill-scale supply chain and logistics model integration for improved decision support. In : ISSCT 2007: 26th Congress of the International Society of Sugar Cane Technologists Congress, 29 juillet - 2 août 2007, Durban, South Africa. ISSCT. Réduit : ISSCT, 121-130. ISBN 1-920017-01-1 ISSCT Congress. 26, Durban, Afrique du Sud, 29 Juillet 2007/2 Août 2007.

Titre espagnol : Cadena de abastecimientos a escala de ingenio y modelo de integracion logistica para una mejora en la toma de decisiones / Titre français : Intégradation par modélisation de la chaine d'approvisionnement des sucreries et de la logistique pour une meilleure aide à la décision

Résumé : The management of cane procurement and general logistics at a mill scale remains complex and contains valuable opportunities for improved efficiencies and cost savings. In the past, several researchers have focused on different logistical and supply chain issues. This paper reviews these works and attempts to synthesise valuable modelling contributions towards a more holistic supply chain decision support system, Three previously independent research projects that focused on modelling supply chain and logistics issues at the Sezela sugar mill in South Africa are reviewed. Firstly, a simulation logistic model was used to assess the impacts of logistics on harvest-to-crush delays. Secondly, an optimisation model was used to quantify the impacts of different management rules on transportation and mill performance. Thirdly, a weekly supply chain model was used to estimate the potential benefits of different management strategies on capacities, utilisation and sugar production. The integration of short time stepped logistical models and larger time stepped supply chain models are discussed in order to create a suitable decision support environment that will assist mill scale management to assess the impacts of their decisions at various levels across the supply chain and over extended periods of time. An integrated modelling system, therefore, has the ability to assess the logistical impacts of longer term supply chain decisions, and vice versa. Integrated systems, however, pose challenges in finding suitable input data and software interfaces. It is concluded that an integrated supply chain modelling system, although difficult to conceptualise and construct, offers real potential benefits to the optimal management of sugar cane supply chains.

Classification Agris : F01 - Culture des plantes
U10 - Informatique, mathématiques et statistiques

Auteurs et affiliations

• Le Gal Pierre-Yves, CIRAD-ES-UMR INNOVATION (FRA)
• Bezuidenhout Carel N., University of KwaZulu-Natal (ZAF)
• Lyne Peter W.L., SASRI (ZAF)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/540852/)

Métriques

[ Page générée et mise en cache le 2024-03-28 ]