There are two distinct capabilities: process capability and machine capability. When we talk about “process capability”, we’re referring to everything from the chucks and fixtures used in the manufacturing process as a whole. Only one chunk, fixtures, etc., are taken into consideration when calculating the machine’s capabilities.
Software is used to assess process capability, while third-party evaluators or the machine’s manufacturer determine machine capability. Process and machine capabilities are not the only differences. There is a slew of additional distinctions that will be explored in the sections to follow.
Process Vs. Machine Capability
Unlike machine capability, which is primarily reliant on performance, process capability relies on data to function well. The process capability is influenced by all six elements. But machines and measurements have a significant impact on the outcome of machine capabilities. There is a difference between process capability and machine capability
Process capacity is a statistical measure of the inherent process variability of a particular attribute. A process’s ability to satisfy standards may be determined using this tool. During a quality improvement project, a capacity estimate is gathered throughout the study to represent the progress that has been made.
As a measure of a machine’s actual quality in relation to its requirements, “machine capability” is used. Based on the unbroken manufacturing run, this short-term capability is available. When assessing a machine’s performance, changing machine tools and settings are not recommended.
Measurable property of the process in relation to the specification is its capacity. As a process capability index, it may be stated as a process performance index. A histogram and the computation of this measurement are often used to demonstrate the result. They are primarily concerned with determining how many pieces may be manufactured in error (OOS).
The two most important aspects of process capacity are measuring the variability of the process output and comparing that variability to a product tolerance and suggested specification. In most cases, the process input contains at least one or more characteristics that may be measured in order to determine the outputs. The process capability ranges from 50 to 250 components.
Estimates for a process should be based on the presence of adequate process controls. The control chart analysis is performed to establish whether the process is under “statistical control”. In the absence of statistical control, the capacity has no value. As a result, only common cause variation counts toward the process capability, whereas special cause variation does.
Customers assume that the process result will fulfill their requirements, tolerances in engineering, or specifications. Process capacity studies are carried out by engineers in order to establish the degree to which a process can satisfy these goals. Essentially, it focuses on the whole product delivery process, from idea to delivery route.
The ability of a machine to meet its stated criteria is referred to as machine capability. It mostly pertains to the machine’s capacity parameters. Among the variables are the number of raw materials or loads, the intervals between services, and the rate at which the machine produces its final output.
Most machines are judged on their output speed. The extension aids the machine in completing all jobs in the shortest amount of time feasible. On the manufacturing side, it is all about the machine’s ability to meet demand. Lag in production might have a negative impact on the whole line.
Measuring devices have a significant impact on the final outcome of machine capabilities. Equipment manufacturers often mention all of a machine’s specific capabilities in their user guide. However, a third-party machine capability test is also necessary in order to buy a better-quality machine for a certain activity.
Another advantage of a third-party assessment is that it reveals the true capabilities of the equipment. As well as identifying strategies that might be used to avoid such issues in the future. Other components and accessories for the machine may also improve its performance.
Difference Between Process and Machine Capability
- When it comes to product delivery, process capability considers the whole process, from conception to delivery routes, whereas machine capability concentrates on the machine’s ability to deliver throughout the manufacturing process.
- Both individual samples and subgroup samples are used to compute process capability, whereas machine capability is estimated using the goal value with unchanging individual sample standard deviation.
- A third-party assessor or the machine’s maker determines the machine’s competence, not specialist software.
- Product development includes the establishment of process capabilities. On the other hand, a machine’s capacity to perform is an important consideration when making a purchase.
- Data, particularly graphical data, has a significant impact on the capacity of a process to perform. Machine capabilities, on the other hand, is dependent on performance.
Process capability and machine capability, it may be inferred, are two capabilities that operate in fundamentally separate realms of application. In contrast to process capability, machine capability measures a machine’s actual quality in terms of its requirements, whereas process capability measures the inherent variability of the process.
As a result, process capability focuses mostly on how a product is produced, whereas machine capability concentrates on the equipment itself. The process capability ranges from 50 to 250 components, while the machine capability ranges from 20 to 50. Specialized software is used to assess a process’s capabilities. On the other hand, a third-party assessor or the manufacturer determines the machine’s capacity.
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