A New Model For Traceability Evaluation based on Costs-Benefits Analysis FMECA Principles and Fuzzy Sets Techniques

نویسندگان

  • M. Lando
  • S. Riemma
  • M. Savino
چکیده

Quality Certification according to ISO9000 standards requires that firms have to be able to track every jobs, assembling steps, and equipment needful to realize each product. Another aspect of a traceability system is the possibility, for each type of product, to locate on the market every delivered ones on which analysis and/or corrective actions has to be made, due to an unconformity found on a certain component or on a certain job (customer-oriented traceability). This last feature can give real advantages in terms of customer satisfaction, safety and firm image, therefore its establishment is often related to high costs due to the startup of dedicated procedures for parts identification, information systems, human resources, etc. The best choice, in this case is to submit to this type of traceability procedure a set of components that, from an analysis of the bill of materials, are recognized as critical in terms of certain critical parameters such as safety, cost, product functionality, etc. In this paper we wish to give a practical decision supporting tool useful to identify, for an industrial product, which specific components have to be traced. In our prototype system the well known cost benefits analysis, FMECA principles and Fuzzy Sets techniques have been implemented in a structured approach to define, inside the bill of materials, which components have to be submitted to the traceability procedure. 1. Structure of the system Our approach is structured according to three sequential steps. The first one is related to the development of a specific procedure, based on a cost/benefits analysis of the Bill of Materials (BoM) for the determination of the minimum number of parts to be traced (Critical number). The second step is related to the definition, according to FMECA principles, of a Criticality index for each part of the product, while to define the specific parts to be traced (Critical set) a system based on Fuzzy Sets theory has been developed. The three main steps in which the proposed system has been conceived and developed can be summarized as follows: 1. Cost/benefits analysis for the BoM, finalized to the determination of the minimum number of parts to be traced (Critical number Cn); 2. Implementation of FMECA principles for the BoM oriented to the definition of a Criticality Index Ic that has to be able to give a measure of part criticality with respect to the traceability; 3. Fuzzy Sets-based approach for the identification of the parts to trace (Critical set Ix) on the basis of the values of Ic and Cn related to the BoM. 1.1 Cost-Benefits Analysis applied to Traceability: The model

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Risk Evaluation and Application on Fuzzy-FMECA Method Using Cloud Model

In order to safeguard the safety of passengers and reduce maintenance costs, it is necessary to analyze and evaluate the security risk of the Railway Signal System. However, the conventional Fuzzy Analytical Hierarchy Process (FAHP) can not describe the fuzziness and randomness of the judgment, accurately, and once the fuzzy sets are described using subjection degree function, the concept of fu...

متن کامل

A New Uncertain Modeling of Production Project Time and Cost Based on Atanassov Fuzzy Sets

  Uncertainty plays a major role in any project evaluation and management process. One of the trickiest parts of any production project work is its cost and time forecasting. Since in the initial phases of production projects uncertainty is at its highest level, a reliable method of project scheduling and cash flow generation is vital to help the managers reach successful implementation of the ...

متن کامل

A Framework for Optimal Attribute Evaluation and Selection in Hesitant Fuzzy Environment Based on Enhanced Ordered Weighted Entropy Approach for Medical Dataset

Background: In this paper, a generic hesitant fuzzy set (HFS) model for clustering various ECG beats according to weights of attributes is proposed. A comprehensive review of the electrocardiogram signal classification and segmentation methodologies indicates that algorithms which are able to effectively handle the nonstationary and uncertainty of the signals should be used for ECG analysis. Ex...

متن کامل

A new framework for high-technology project evaluation and project portfolio selection based on Pythagorean fuzzy WASPAS, MOORA and mathematical modeling

High-technology projects are known as tools that help achieving productive forces through scientific and technological knowledge. These knowledge-based projects are associated with high levels of risks and returns. The process of high-technology project and project portfolio selection has technical complexities and uncertainties. This paper presents a novel two-parted method of high-technology ...

متن کامل

A Multi-Criteria Analysis Model under an Interval Type-2 Fuzzy Environment with an Application to Production Project Decision Problems

Using Multi-Criteria Decision-Making (MCDM) to solve complicated decisions often includes uncertainty, which could be tackled by utilizing the fuzzy sets theory. Type-2 fuzzy sets consider more uncertainty than type-1 fuzzy sets. These fuzzy sets provide more degrees of freedom to illustrate the uncertainty and fuzziness in real-world production projects. In this paper, a new multi-criteria ana...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001