This paper studies a dynamic production system where multiple products must visit stations where inventories are constrained by maximum and minimum sojourn times with neither negative flow nor backlog being allowed. A resource availability constraint limits the aggregate throughput of the stations. The objective is to minimize the sum of flow and inventory cost. The problem is broken down into several single-product serial systems that serve as subroutines of a Lagrangian relaxation routine. This model is implemented in a spreadsheet so that it can be used by the officials of a Chilean institution for planning the operations and defining the optimal allocation of resources.
Más Información
Optimal planning of a multi-station system with sojourn time constraints
Singer, M., Donoso, P., Noguer J.L., 2005. Annals of Operations Research 138 pp. 203 – 222.
Proyectos Relacionados Ver todos
- Árboles de Valor para la Optimización de Activos
- Optimizando el plan de producción
- ¿Cómo descentralizar la distribución?
- ¿Dónde está el negocio: aguas arriba o aguas abajo?
- Erradicando Campamentos
- Costos Estratégicos
- Proyectos de Mejoramiento en una Lechería
- Licitación de Suministro Eléctrico
- Logística de Entrada y Servicios
- Entendiendo la Interacción entre Procesos
Publicaciones Relacionadas Ver todas
- Internal supply chain management in the Chilean sawmill industry
- Upstream or downstream in the value chain?
- Strategic decision-making at a steel manufacturer assisted by linear programming
- Semi-autonomous planning using linear programming in the Chilean general treasury
- Decomposition methods for large job shops
- A shifting bottleneck heuristic for minimizing the total weighted tardiness in a job shop
- Computational study of branch and bound techniques for minimizing the total weighted tardiness in job shops
- An architecture for solving sequencing and resource allocation problems using approximation methods
- Oportunidades de mejoramiento de la logística minera
- Una Práctica Teoría de la Optimización Lineal