The objective of the integrated model is to minimize the total costs of intra and inter-cell material handling, machine relocation, purchasing new machines, machine overhead and machine processing.
These costs include material handling, machine relocation, setup, inventory carrying, in-house production and subcontracting needs.
These costs are associated with material handling, machine relocation, setup, inventory carrying, in-house production and subcontracting needs.
The objective function of this model contains system costs including machine purchase, operating, inter-cell material handling, machine relocation, worker hiring, training, salary and firing costs.
The overall objective is to minimize the total costs associated with material handling, machine relocation, subcontracting, setup, inventory holding and internal part production.
The first objective of our presented model related to cost components is to minimize the total costs of intra- and inter-cell material handling, machine relocation, purchasing new machines, machine overhead cost, machine processing, and forming of cells.
The first objective of the developed model is to minimize the total costs of intra-cell and inter-cell material handling, machine relocation, machine purchase, machine overhead, machine processing, forming cells, outsourcing and inventory holding.
The material handling and machine relocation distances between each pair of locations are shown in Tables 13 and 14, respectively.
Mathematical model is formulated to generate optimal dynamic cells that can ensure minimum costs of machine relocation, machine setup and inter-cell material handling in labor-intensive production environments subjected to machine breakdowns.
Consequently, a multi-objective dynamic cell formation problem is presented in this paper, where the total cell load variation and sum of the miscellaneous costs (machine cost, inter-cell material handling cost, and machine relocation cost) are to be minimized simultaneously.
