چکیده:
This paper studies a series production system through the integration of the decisions associated with Maintenance Management (MM) and Statistical Process Control (SPC). Hence, the primary question of the paper can be stated as follows: In a series production system, how can the decisions of MM and SPC be coordinated? To this end, an integrated mathematical model of MM and SPC is developed. Using a method of factorial design, sensitivity analyses are performed. According to a stand-alone maintenance model, the effectiveness of the integrated model is assessed. The series production system investigated consists of identical units. Each unit has two operational states including an in-control state and an out-of-control state. The system is in-control if both units of the system operate in the in-control state. On the other hand, the system is out-of-control, if at least one of the units operates in the out-of-control state. The failure mechanism of each unit is based on a random variable with a continuous distribution. The results of analyses clarify that the integrated model improves the profit of the system
خلاصه ماشینی:
"(2013) in three main directions: (1) Releasing the assumption about the process failure mechanism, hence, no restrictive assumption is applied about the process failure mechanism except that it is continuous with non-decreasing failure rate; (2) this model can be applied for different types of inspection policies such as constant hazard policy or fixed sampling period policy; and (3) the integrated model can be applied for different types of control charts.
,m-1) Time points of sampling inspection (they are the decision variables of the integrated model) tm Time of performing the preventive maintenance (it is the decision variable of the model) m Maximum number of inspection periods in each production cycle n The size of the samples in each sampling inspection (it is a decision variable of the model) System Evolution in an Inspection Period Consider a single arbitrary inspection period such as (ti-1,ti), given the state of each unit of the system, just after the inspection at ti-1, six different scenarios can be considered for the evolution of the system in this period.
The main novelty of this paper is in two aspects: (1) Development of an integrated model for SPC and MM, while no restrictive assumption is considered about the deterioration mechanism of the units of the system, except that it is continuous with non-decreasing failure rate; and (2) the model can be applied to different types of inspection policies such as constant hazard policy or fixed sampling period policy."