Research Article

A Multiobjective Optimization Algorithm to Solve the Part Feeding Problem in Mixed-Model Assembly Lines

Table 1

Notations for the MILP model.

Set of references
Index of references
Set of tours
Index of tours ( )
Inventory level of reference at the beginning of the first tour
Capacity of tow train (volume)
Capacity of correspondence station to reference (volume)
Demand of reference on tour
Number of references
Number of tours
Importance coefficient for the first objective
Importance coefficient for the second objective
Amount of reference i transported on tour t
Inventory level of reference i on tour t
Equals one if tour t is carried out: otherwise, equals 0
Replenishment rate of reference i on tour t,
Maximum replenishment rate (to be fixed, e.g., 2)