A hierarchical approach to solve a production planning and scheduling problem in bulk cargo terminal

Procesos Logísticos y La Administración de la Cadena de Suministro.

“…Las decisiones tendientes a determinar qué producir, cómo producir y cuánto producir, son bastante complejas ya que se deben balancear todos los recursos necesarios para cumplir con la demanda de los clientes y la misión de la empresa (Garza y González, 2004). En los procesos de producción, la planificación de producción y los problemas de programación son críticos para la rentabilidad de las empresas, el uso correcto de los recursos y para cumplir los plazos (Menezes et al, 2016).…”

Hybrid fuzzy-stochastic approach for multi-product, multi-period, and multi-resource master production scheduling problem: case of a polyethylene pipe and fitting manufacturer

“…However, Jimenez et al [47] proposed an interactive procedure in a similar situation. Following Kaufmann and Gil Aluja [54], they applied an eleven-point scale for su cient distinction between satisfaction levels: (20) is solved for each k = 0 +0:1k; k = 0; 1; ; (1 0 )=0:1. By solving Model (20) for di erent values of , a set of optimal fuzzy values,C , will be obtained.…”

“…Following Kaufmann and Gil Aluja [54], they applied an eleven-point scale for su cient distinction between satisfaction levels: (20) is solved for each k = 0 +0:1k; k = 0; 1; ; (1 0 )=0:1. By solving Model (20) for di erent values of , a set of optimal fuzzy values,C , will be obtained. To compare these solutions and choose an acceptable solution, the Yager [55] method is used.…”

“…Model (20) for SPP and F includes 198 variables and 104 constraints. SPP and F managers needed to solve the production planning in three satisfaction levels of 0.7, 0.8, and 1.0.…”

“…For this purpose, they utilized the inputoutput quantity as well as the production quantity as coordination factor [19]. In another paper, Menezes et al [20] introduced a hierarchical approach to solving the production planning and scheduling problems. In this mathematical model, when scheduling is not feasible, capacity information is forwarded to production planning to modify and show the use of new tasks.…”