Implementation costs (such as set-up costs, staff training costs, service reconfiguration costs, costs for dual running of usual care and RM services) were not included in the model but are often a consideration for the health organisations.
The paper aimed to decrease inter/intra-cell movement costs, setup costs, machine and reconfiguration costs, production planning costs, and worker hiring, firing, training, and salary costs.
The aim of the proposed model is to minimize inter and intra-cell movement costs, machine and reconfiguration costs, setup costs, production planning costs (holding, backorder and subcontracting costs) and workers hiring, firing, training and salary costs, as well as minimizing summation of machines idle times as a second objective.
Wider adaptation of RM in the NHS can be facilitated by providing financial impact data (eg, set-up costs, quarterly costs of service, costs of reconfiguration) along with the long-term cost-effectiveness information.
The first objective of the proposed model is to minimize the miscellaneous expenses of the dynamic cellular manufacturing system such as fixed or variable costs, inter-/intra-cellular part movement costs, and machine reconfiguration costs, labor transfer between cells, delay in the date of parts delivery, and failure of the machines.
The obtained results show that by employing the presented method, the cost of reconfiguration process is reduced obviously.
Chen (1998) proposed an integer programming model to minimize material handling and machine cost and reconfiguration cost to design a sustainable cellular manufacturing system in a dynamic environment.
Evaluation thereof shows that the scheme imposes minimal computational and memory overhead, while significantly reducing the complexity and cost of reconfiguration.
Therefore, other than the machine relocation costs, any physical reconfiguration costs (i.e., changes in lighting and ventilation systems) are not allowed.
ACRP determines how flexible an automation system should be considering the cost of reconfigurations and the quality of production.
