An Overview of the Fuzzy Sets on Process Capability Analysis
نویسنده
چکیده
Process capability analysis (PCA) is the ability of a process that measures the degree of providing customer expectations. Generally, the expectations of customer have been defined by using specification limits. A process capability index (PCI) summarizes ability of process to conform specification limits. Generally, this comparison is made by analyzing ratio of specification limits and six-sigma limits. After the inception of the fuzzy set theory (FST) by Zadeh in 1965, PCA has been greatly influenced at a significant level. It is possible to see many papers about usage of the FST on PCA. In this paper, the effects of the FST on PCA have been analyzed and the recent trends have been summarized. By the way, a roadmap about possible future directions of the FST has been suggested.
منابع مشابه
Introducing Triangular Fuzzy Process Capability Indices to Evaluate Performance of Continuous Production Process
Process capability indices (PCIs) can be used as an effective tool for measuring product quality and process performance. In classic quality control there are some limitations which prevent a deep and flexible analysis because of the crisp definition of PCA‟s parameters. Fuzzy set theory can be used to add more flexibility to process capability analyses. In this study, the fuzzy X ba and MRx ba...
متن کاملAssessing process performance with incapability index based on fuzzy critical value
Process capability indices are considered as an important concept in statistical quality control. They have been widely used in the manufacturing industry to provide numerical measures on process performance. Moreover, some incapability indices have been introduced to account the process performance. In this paper, we focus on the one proposed by Chen ~cite{Che:Stat}. In today's modern world, a...
متن کاملMonitoring Fuzzy Capability Index $widetilde{C}_{pk}$ by Using the EWMA Control Chart with Imprecise Data
A manufacturing process cannot be released to production until it has been proven to be stable. Also, we cannot begin to talk about process capability until we have demonstrated stability in our process. This means that the process variation is the result of random causes only and all assignable or special causes have been removed. In complicated manufacturing processes, such as drilling proces...
متن کاملAn integrated multi-criteria decision-making methodology based on type-2 fuzzy sets for selection among energy alternatives in Turkey
Energy is a critical factor to obtain a sustainable development for countries and governments. Selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. In this paper, an integrated multi-criteria decision-making (MCDM) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. Then a roadmap has been cr...
متن کاملSolving New Product Selection Problem by a New Hierarchical Group Decision-making Approach with Hesitant Fuzzy Setting
Selecting the most suitable alternative under uncertainty is considered as a critical decision-making problem that affects the success of organizations. In the selection process, there are a number of assessment criteria, considered by a group of decision makers, which often could be established in a multi-level hierarchy structure. The aim of this paper is to introduce a new hierarchical multi...
متن کامل