Machinability Index Evaluation: A Case Study of Carbide Inserts

2013 ◽  
Vol 330 ◽  
pp. 86-90
Author(s):  
Amritpal Singh Sadioura ◽  
Rupinder Singh ◽  
Harwinder Singh
Keyword(s):  
Decision Making ◽  
Graph Theory ◽  
Computer Software ◽  
Machining Process ◽  
Theoretic Approach ◽  
Matrix Approach ◽  
Decision Making Problem ◽  
Machinability Index ◽  
Carbide Insert ◽  
Selection Of

The selection of carbide insert on the basis of performance measuring parameters is amulti-attribute decision making problem. This proposed work demonstrates a methodology to evaluate the machinability of the selected turning operation by using graph theory and matrix methods. The qualitative values of attributes are obtained by measuring the process attributes. The fuzzy score has been used to convert intangible factors to crisp scores and then graph theoretic approach has been applied to calculate the single numerical machinability index for ranking among the insert alternatives. Permanent function matrix has been solved by using computer software. This study, in particular, shows the potentiality of graph theory and matrix approach for the analysis, evaluation and selection of carbide insert for machining process. A hybrid decision making method of graph theory and matrix approach (GTMA) and analytical hierarchy process (AHP) is proposed to solve multi decision making problem. The result of study highlights the ranking of inserts based upon machinability index.

scholarly journals Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making

2014 ◽  
Vol 11 (2) ◽  
pp. 839-857 ◽  
Author(s):  
Zeng Shouzhen ◽  
Wang Qifeng ◽  
José Merigó ◽  
Pan Tiejun
Keyword(s):  
Decision Making ◽  
Weighted Average ◽  
Aggregation Operator ◽  
Weighted Averaging ◽  
Business Decision ◽  
Ordered Weighted Averaging ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Weighted Average ◽  
Decision Making Problem ◽  
Selection Of

We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator. It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation. We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We also study its applicability in a decision-making problem concerning strategic selection of investments. We see that depending on the particular type of I-IFOWAWA operator used, the results may lead to different decisions.

An Integrated Intuitionistic Fuzzy MCDM Approach to Select Cloud-Based ERP System for SMEs

2019 ◽  
Vol 18 (06) ◽  
pp. 1875-1908
Author(s):  
Akshay Hinduja ◽  
Manju Pandey
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Managerial Decision ◽  
Erp System ◽  
Intuitionistic Fuzzy ◽  
Decision Making Problem ◽  
Fuzzy Preference Relations ◽  
Priority Method ◽  
Selection Of

ERP system is a software package that integrates and manages all the facets of the business and deeply influences the success of a business endeavor. The increasing competition in the market, rapidly changing demands, and increasing intricacy of business procedures induce enterprises to adopt ERP solutions. Adopting an ERP solution increases synchronization between business activities and reinforces managerial decision-making. However, it also involves a large investment, a significant amount of human resources and time, and risk of failure. Therefore, the selection of an ERP solution is a crucial decision for enterprises. To address this decision-making problem, we propose a four-stage multi-criteria decision-making approach in this paper. Three prevalent MCDM techniques, DEMATEL, IF-ANP, and IF-AHP, are used in different stages of the methodology to achieve better outcomes. The methodology incorporates the intuitionistic fuzzy sets to capture uncertainty and hesitancy involved in decision makers’ judgments. In addition, we develop a novel priority method to derive weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of cloud-based ERP system for SMEs in the Chhattisgarh state of India, which indicates that the proposed four-stage approach effectively handles the ERP selection problem.

scholarly journals GREENHOUSE LOCATING BASED ON ANP-COPRAS-G METHODS – AN EMPIRICAL STUDY BASED ON IRAN

2012 ◽  
Vol 16 (2) ◽  
pp. 188-200 ◽  
Author(s):  
Nahid Rezaeiniya ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Edmundas Kazimieras Zavadskas
Keyword(s):  
Decision Making ◽  
Empirical Study ◽  
Regional Economy ◽  
Raw Materials ◽  
Multi Criteria Decision Making ◽  
Decision Making Problem ◽  
Network Process ◽  
Interdependent Relationships ◽  
Research Analysis ◽  
Selection Of

The selection of a location among alternative locations is a multi criteria decision-making problem including both quantitative and qualitative criteria. In this paper, we describe the research and development of hybrid MCDM methods for greenhouse locating. Selection of the most appropriate location for investor is an important problem which requires assessment and analysis of several factors. The paper clarifies the structure of important criteria in greenhouse locating. The six factors identified were: labor, government, environment, physical condition, regional economy and raw materials. In this research, analysis network process (ANP) is applied to find the relative weights among the criteria and to emphasize the interdependent relationships, thus increasing the accuracy of our results COPRAS-G method is applied to rank for five regions in Amol city, in Iran. This article can be a guideline for investors to select the best location for greenhouses.

scholarly journals Parametric analysis of dry machining process using a novel integrated multi-attribute decision making approach

2022 ◽  
Vol 11 (2) ◽  
pp. 193-202
Author(s):  
G. Venkata Ajay Kumar ◽  
A. Ramaa ◽  
M. Shilpa
Keyword(s):  
Decision Making ◽  
Process Parameters ◽  
Machining Process ◽  
Machining Parameters ◽  
Machining Processes ◽  
Order Preference ◽  
Dry Conditions ◽  
Criteria Importance ◽  
The Right ◽  
Selection Of

In most of the machining processes, the complexity arises in the selection of the right process parameters, which influence the machining process and output responses such as machinability and surface roughness. In such situations, it is important to estimate the inter-relationships among the output responses. One such method, Decision-Making Trial and Evaluation Laboratory (DEMATEL) is applied to study the inter-relationships of the output responses. Estimation of proper weights is also crucial where the output responses are conflicting in nature. In the current study, DEMATEL technique is used for estimating the inter-relationships for output responses in machining of EN 24 alloy under dry conditions. CRiteria Importance Through Inter-criteria Correlation (CRITIC) method is used to estimate the weights and finally the optimal selection of machining parameters is carried out using Techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. The model developed guides the decision maker in selection of precise weights, estimation of the inter relationships among the responses and selection of optimal process parameters.

scholarly journals COMBINING THE SUITABILITY-FEASIBILITY-ACCEPTABILITY (SFA) STRATEGY WITH THE MCDM APPROACH

2021 ◽  
Vol 19 (3) ◽  
pp. 579
Author(s):  
Sarfaraz Hashemkhani Zolfani ◽  
Ramin Bazrafshan ◽  
Parnian Akaberi ◽  
Morteza Yazdani ◽  
Fatih Ecer
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Multiple Criteria Decision Making ◽  
Target Market ◽  
Fish Market ◽  
Decision Making Problem ◽  
Criteria Weights ◽  
Cost Of Transportation ◽  
Selection Of

Suitability-Feasibility-Acceptability (SFA) is a fundamental tool for the development and selection of strategy. Any type of decision-making problem can be resolved by Multiple Criteria Decision Making (MCDM) methods. In this research, we explore the complexity of determining the proper goal market for the Chilean fish market. This study proposed a combined approach of SFA with MCDM methods in a real case study. The proposed structure helps to assign the best market for Chilean export fish to West Asia. Three countries (Saudi Arabia, the United Arab Emirates, and Oman) are selected as a target market in this region, and then related criteria are obtained from various sources. In order to develop a new market for the Chilean fishery industry, five major criteria, including the potential of a target market, region's economic attractiveness, consumption of the seafood, location, cost of transportation, and country risks, were selected based on the SFA framework. Calculating the criteria weights is performed by the Best-Worst (BWM) method, and ordering the alternatives is operated by Measurement Alternatives and Ranking according to compromise Solution (MARCOS) methods. The results showed that Oman is the best destination (importer) for the Chilean fish market (Salmon fish as the case).

scholarly journals Selection of Optimum Nonlinear Confusion Component of Information Confidentiality Mechanism Using Grey Theory Based Decision-Making Technique

2021 ◽  
Author(s):  
Nabilah Hani Abughazalah ◽  
Majid Khan
Keyword(s):  
Decision Making ◽  
Data Encryption ◽  
Grey Theory ◽  
Digital Information ◽  
Internet Communication ◽  
Decision Making Problem ◽  
Encryption Algorithms ◽  
Cryptographic Attacks ◽  
Changing Rate ◽  
Selection Of

In this age of internet communication, the security of digital information is one of the main issues. The privacy of data depends upon the encryption using some secure algorithm. The selection of robust cryptosystems to ensure confidentiality is a major concern to decrease the risk of cryptographic attacks. In this article, we have implemented a grey theory-based decision-making technique for the election of a robust cryptosystem that complies with all the cryptographic parameters. Six different already proposed encryption algorithms are selected as the alternatives of the decision-making problem and the parameters concerned for the decision are entropy, correlation coefficient, the number of pixels changing rate (NPCR), unified average changing intensity (UACI). The algorithm ranked as first by using grey-based decision-making method can be utilized for secure data encryption.

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