Machining conditions-based preventive maintenance

Abstract

In this study we propose an operating conditions-based preventive maintenance (PM) approach for computer numerical control (CNC) turning machines. A CNC machine wears according to how much it is used and the conditions under which it is used. Higher power or production rates result in more wear and higher failure rates. This relationship between the operating conditions and maintenance requirements is usually overlooked in the literature. On CNC turning machines we can control the machining conditions such as cutting speed and feed rate, which in turn affect the PM requirements of the CNC machine. We provide a new model to link the PM decisions to the machining conditions selection decisions, so that these two decision-making problems can be solved together by considering their impact on each other. We establish that our proposed geometric programming model captures the related cost terms along with the technological restrictions of CNC machines. The proposed preventive maintenance index function can be used to provide an intelligent CNC machine degradation assessment.

Maintenance policy selection considering resilience engineering by a new interval-valued fuzzy decision model under uncertain conditions

“…In FBM approach, just repair or substitution responses are made; however, no response is done to identify the reason for the failure or to hinder it [63,64].  Preventive Maintenance (PvM) (A 2 ) can be characterized as a movement attempted frequently at pre-chosen intervals regularly [65,66], while the part or device is properly operating to lessen the gathered deterioration, while repair is the action to convey the device or part to a non-failed state after encountering a failure [67].  In condition-based maintenance (CBM) policy (A 3 ), each main activity made after every inspection is reliant on the condition of the plant or system.…”

“…There is no activity or negligible activity to introduce the framework in the same class as it was before corruption, or essential maintenance to convey the system to a condition equivalent to another system. This policy depends on deterministic and probabilistic models [67].  Total productive maintenance (TPM) (A 4 ) looks to induce a comprehensive methodology towards accomplishing a standard of executions in production versus overall effectiveness of equipment, machines and processes [68,69].…”

Schedule-Allocate and Robust Sequencing in Three-Machine Robotic Cell under Breakdowns

“…To define the sequence of parts in the proposed unreliable robotic cell by minimizing robustly the cycle time (S 6 cycle) and total production cost, the total production cost is formulated based on "Selim Akturk and Gurel [46]" description. In many cases such as the current one, tooling cost considered to be a constant cost and has no effects on optimization process.…”

Preventive maintenance for a single-machine system under variable operational conditions

“…Step 3. Input new OC and corresponding time interval, n = n + 1, update c = ½c(1 : n À 1), c(bz n ) and TJ = ½TJ(1 : n À 1), t n À t nÀ1 , and apply the hazard rate recursion evolution in equation (7) to describe the hazard rate function during the new condition interval. Jump to step 2.…”

“…The mode of multi-varieties and small-batch production has become a main production mode in manufacturing, which results in that devices may work under variable OC with different batches or productions. For example, the load profiles of machine tools vary considerably, and the damage rate of the tool will change with different work loads; [7][8][9] moreover, the deteriorating rate of equipment can be different with different production rates; 10,11 all of the above should be taken into account when we estimate the reliability function of the system. Hence, it is important to construct an imperfect maintenance model of machines operating under dynamic OC and integrate time-varying OC with PM schedule optimization.…”