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Book ChapterDOI

Criticality Analysis of CNC Turning Center Using Analytic Hierarchy Process

TL;DR: In this article, the analytic hierarchy process (AHP) is used for prioritizing sub-systems of the CNC turning center for four different criteria, viz. failure frequency, subsystem downtime, maintenance cost, and customer inconvenience.
Abstract: Computerized numerical control (CNC) turning center plays an important role in manufacturing industries. Reliability and maintainability are the key activities in any manufacturing industry to complete weekly/monthly/yearly manufacturing targets by maintaining the health of the CNC turning center. Therefore, it is essential to prioritize sub-systems of the CNC turning center according to criticality. In this context, analytic hierarchy process (AHP), one of the multiple criteria decision-making (MCDM) tool, is used for prioritizing sub-systems of the CNC turning center for four different criteria, viz. failure frequency, sub-system downtime, maintenance cost, and customer inconvenience. The major 14 sub-systems of the CNC turning center are considered for the analysis. SS, CNC, XZAS, TS, EES, and MT are the critical sub-systems of CNC turning center for the selected criteria and should be monitored carefully. The critical sub-systems for individual criteria are also identified. This case study shows that the AHP is a simple and effective tool for prioritizing the sub-systems and beneficial for maintenance managers to decide optimum maintenance strategies.
Citations
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DOI
26 Nov 2021
TL;DR: In this article, a methodology that combines the multi-criteria method COPRAS and the artificial intelligence method AHP Fuzzy is presented to improve decision making within the planning processes in machining shops.
Abstract: The following research shows a methodology that combines the multi-criteria method COPRAS and the artificial intelligence method AHP Fuzzy, which seeks to improve decision making within the planning processes in machining shops. The first method allows us to determine the most important criterion to be fulfilled as a manufacturing requirement; the second method seeks the selection of the best alternative, with the values for high speed machining that will allow the manufacturing of the rectangular piece of aluminum alloy 5083. For the multi-criteria analysis, the parameters selected for the machining process of thin-structured aluminum parts are: surface roughness and part deformation. By applying the Fuzzy-AHP method, it is determined that the most important criterion is the deformation of the part in the thin structure. With the evaluation of the criteria, COPRAS was applied and the result of the utility index determined that alternative three is the best, therefore, by implementing the input parameters: S = 15000 rpm, doc= 0.30 mm, ts= 7.0 mm, F= 9000 m/min, surface quality and low deformation of the part is guaranteed. We conclude that the Fuzzy-AHP and COPRAS methodology is an excellent tool, with low cost and good reliability, as a solution to be applied in machine shops to improve decision making in process planning.
References
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Book ChapterDOI
01 Jan 1985
TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.
Abstract: This chapter provides an overview of Analytic Hierarchy Process (AHP), which is a systematic procedure for representing the elements of any problem hierarchically. It organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pair-wise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy. These judgments are then translated to numbers. The AHP includes procedures and principles used to synthesize the many judgments to derive priorities among criteria and subsequently for alternative solutions. It is useful to note that the numbers thus obtained are ratio scale estimates and correspond to so-called hard numbers. Problem solving is a process of setting priorities in steps. One step decides on the most important elements of a problem, another on how best to repair, replace, test, and evaluate the elements, and another on how to implement the solution and measure performance.

16,547 citations

Journal ArticleDOI
TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a multicriteria decision-making approach in which factors are arranged in a hierarchic structure, and the principles and philosophy of the theory are summarized giving general background information of the type of measurement utilized, its properties and applications.

7,202 citations

Journal ArticleDOI
TL;DR: A literature review of the applications of Analytic Hierarchy Process, which aims to provide a ready reference on AHP, and act as an informative summary kit for the researchers and practitioners for their future work.

2,717 citations

Journal ArticleDOI
TL;DR: Evidence is provided that the multi-criteria decision making approaches are better than the traditional cost-based approach, but also aids the researchers and decision makers in applying the approaches effectively.

2,000 citations

Journal ArticleDOI
William Ho1
TL;DR: This research provides evidence that the integrated AHPs are better than the stand-alone AHP, but also aids the researchers and decision makers in applying the integratedAHPs effectively.

993 citations