Query: An application of fuzzy Delphi and fuzzy AHP on evaluating wafer supplier in semiconductor industry

Candidate papers:

abstract: Because of the pressure of globalization in the last two decades, professional services has become an important strategic decision so that supplier selection is a prime concern. In the semiconductor industry, the prior researches worked on analyzing and improving the process, and evaluating the equipment manufacturers. Therefore, being the semiconductor industry applying a wide huge of advanced technologies, wafer suppliers and foundry and DRAM manufacturers acquire a large volume of critical materials and components. Consequently, this study is to identify critical factors related to the wafer supplier selection. It also has become a new subject by how to prompt current position of semiconductor industry and their wafer supplier in Taiwan. Primary criteria to evaluate supplier selection is acquired by the literatures survey, wafer manufacturers' data and applying fuzzy Delphi method (FDM) and then fuzzy analytic hierarchy process (FAHP) is employed to calculate the weights of these criteria, so as to establish the fuzzy multi criteria model of wafer supplier selection. The results indicated a greatest weight on the dimension of wafer supplier selection, and seven critical criteria related to wafer supplier selection were: (1) wafer quality, (2) delivery time, (3) service, (4) price, (5) process capability, (6) reputation, and (7) past performance.
author_names: Jao-Hong Cheng

Chih-ming Lee

Chih-Huei Tang
title: An application of fuzzy Delphi and fuzzy AHP on evaluating wafer supplier in semiconductor industry
year: 2009

abstract: Because of the pressure of globalization in the last two decades, professional services has become an important strategic decision so that supplier selection is a prime concern. In the semiconductor industry, the prior researches worked on analyzing and improving the process, and evaluating the equipment manufacturers. Consequently, this study is to identify critical factors related to the wafer supplier selection. Primary criteria to evaluate supplier selection is acquired by the literatures survey, wafer manufacturers' data and applying fuzzy Delphi method (FDM) and then fuzzy analytic hierarchy process (FAHP) is employed to calculate the weights of these criteria, so as to establish the fuzzy multi criteria model of wafer supplier selection. The results indicated a greatest weight on the dimension of wafer supplier selection, and seven critical criteria related to wafer supplier selection were: wafer quality, delivery time, service, process capability, price, reputation, and past performance.
author_names: Jao-Hong Cheng

Chih-Huei Tang

Chih-ming Lee
title: Development of the supplier selection criteria on evaluating wafer supplier: an application of fuzzy Delphi and fuzzy AHP
year: 2009

abstract: We present a new method of finding the fuzzy weights in fuzzy hierarchical analysis which is the direct fuzzification of the original method used by Saaty (1980) in the analytic hierarchy process. We test our new procedure in two cases where there are formulas for the crisp weights. An example is presented where there are five criteria and three alternatives.
author_names: James J Buckley

Thomas Feuring

Yoichi Hayashi
title: Fuzzy hierarchical analysis
venue: FUZZ IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)
year: 1999

abstract: Silicon wafer slicing is an increasingly complex manufacturing process. This involves high purity levels, crystallographic perfection and precise mechanical tolerances, thus 12in. wafer slicing is the most difficult in terms of semiconductor manufacturing yield. As silicon wafer slicing directly impacts production costs, semiconductor manufacturers are especially concerned with increasing and maintaining the yield, as well as identifying why yields decline. The criteria for establishing the proposed algorithm are derived from literature review and modified Delphi method in semiconductor manufacturing. The main objective of this paper is to propose a new approach within the AHP framework for tackling the uncertainty and imprecision of silicon wafer slicing evaluations during manufacturing process stages, where the decision maker's comparison judgments are represented as fuzzy triangular numbers. Additionally, the proposed algorithm can select the evaluation outcomes to identify the worst machine of precision. Finally, results of EWMA control chart demonstrate the feasibility of the proposed fuzzy AHP based algorithm in effectively selecting the evaluation outcomes and evaluating the precision of the worst performing machines. So, through collect data (the quality and quantity) to judge the result by fuzzy AHP, it will the key to help the engineer can find out the manufacturing process yield quickly effectively.
author_names: Che-Wei Chang

Cheng-Ru Wu

Huang-Chu Chen
title: Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP
venue: Expert Syst. Appl.
year: 2008

abstract: Due to globalization and saturated domestic markets, information service firms, upon growing to a certain size, gradually focus their business efforts on reaching global markets. In order to reduce business risk in developing international markets, using the alliance model is a key strategy for information service firms. On the other hand, firms should handle more accurate business information to support their business intelligence (BI) system to make better business decisions. This research uses a hybrid fuzzy Delphi AHP approach to propose a more comprehensive framework with specific business elements, and also points out six performance indices for firms to adjust business strategy. Results of this study could have considerable value for the information services industry to develop international markets.
author_names: Mingkong Chen

Shih-Ching Wang
title: The use of a hybrid fuzzy Delphi AHP approach to develop global business intelligence for information service firms
venue: Expert Syst. Appl.
year: 2010

abstract: Marine accidents, particularly those that involve pollution and large fatalities, bring into question the safety of shipping and the quality of ships and their crews. Whether or not such questions are justified, it is marine accidents that provide a poor image of the industry, which attract considerable attention. Incidents that particularly attract attention are those causing loss of life, pollution of the environment and the loss of ship and or cargo. Usually, People have a tendency to focus on the consequences of an accident rather than its root causes, Kristiansen S, (2005) so MCDM could improve to find the root cause elements by providing more precise decision parameters.Due to the complexity of Marine accident investigation, this study aims to provide a systematic approach to determine the degree of most influence parameters (cause and effect) in accident occurrence, in order to improve marine safety in direction of Good Governance; in the study two phase procedures are proposed. The first stage utilizes Fuzzy Delphi Method to obtain the critical factors of the Marine Accident Investigation by interviewing the related connoisseurs. In the second stage, Fuzzy Analytic Hierarchy Process is applied to pair fuzzy numbers as the measurable indices and finally to rank degree of each influence criterion within accident investigation. This study considers 1 Goal, 4 Aspects and 31 Criteria (Parameters) and establishes a ranking model that provides decision makers to assess the prior ordering of reasons and sorts by most effective parameter involved Marine Accident occurrence. The empirical study indicates that the " People, Working and living conditions, Effect " is the high ranking aspect and "Ability, Skills and knowledge of workers" is the most important evaluation criterion considered in overall experts view derived from Fuzzy Delphi Analytical Hierarchy Processing (FDAHP) The demonstration of how the prior order of accident maker parameters of connoisseurs is addressed as well. Therefore, ranking the priority of every influencing criterion (parameter) shall help the decision makers in marine transportation, to emphasize the area to improve and act accordingly to prevent future marine accidents. Key Words: Marine Accident, Accident Investigation, Good Governance, Analytic Hierarchy Process (AHP) Fuzzy Delphi Method (FDM) Fuzzy Analytic Hierarchy Process (FAHP) 1 Multiple Criteria Decision Making
author_names: Akbar Etebarian

Alireza Shirvani

Iraj Soltani

Ali Reza Moradi
title: The application of Fuzzy Delphi Method (FDM) and Fuzzy Analytic Hierarchy Process (FAHP) for Evaluating Marine Casualties
year: 2013

abstract: The select location of Hypermarket is regarding as the case study in this paper. The proposed hybrid fuzzy MCDM approach is applied to the location choice. There are five criteria and six alternatives (locations) in our model. This paper solves a factor rating system facility location allocation problem defined as follows: 1) Determine alternatives, criteria and decision makers; Define linguistic values and their corresponding fuzzy number and Aggregate the decision maker's estimation by F Delphi and F AHP; 2) Compute the average fuzzy weight and construct the fuzzy decision matrix by F LLSM and LINGO software; 3) Construct the fuzzy preference function; Define the multi criteria preference index to decide the valued outranking relation and Calculate the aa outranking flow and the net flow to pre order the alternatives by F PROMETHEE; 4) Defuzzification by the Chen's maxima and minima sets and Ranking of alternatives by Excel.
author_names: Hossein Safari

Mansour Soufi

Ermia Aghasi
title: Select a Hypermarket Location Based on Fuzzy Multi Criteria Decision Making F MCDM Techniques Hybrid of F Delphi F AHP F LLSM and F PROMTHEE
year: 2014

abstract: Abstract Because of the pressure of globalization in the last two decades, outsourcing activities has become an important strategic decision so that supplier selection is a prime concern. In fact, the selection problem is more crucial for the manufacturers of sophisticated semiconductor assembly equipments, as it is a multi item, multi person and multi criterion decision problem. Among the reported literature, the analytic hierarchy process (AHP) has been recognized as an appropriate tool to tackle the said problem. In this paper, a case study is reported to illustrate an innovative model which adopts AHP and quality management system principles in the development of the supplier selection model. The proposed model can provide not only a framework for the organization to select supplier but also capability to deploy the company strategy to suppliers. Added to this, it also has flexibility to respond to the changing needs of the organization due to dynamic business environment. Through an illustration of the proposed model, it is found that the supplier selection problem can be solved in a structural and timely manner.
author_names: Felix T S Chan

Hing Kai Chan
title: Development of the supplier selection model a case study in the advanced technology industry
year: 2004

abstract: Selecting an appropriate six sigma project is one of the most important problems for a manufacturing company because it impacts the manufacturing costs. Besides, an appropriate choice of Six Sigma projects is very important as it helps to improve quality, reduce variation, and eliminate waste of a manufacturing system. Therefore, the main purpose of this study is to provide a good insight into the use of an integrated decision making methodology in the evaluation of Six Sigma projects. For this purpose, we integrate three multi criteria decision making (MCDM) methods by applying a modified Delphi method, Analytical Hierarchy Process (AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) methodologies. After the evaluation criteria of Six Sigma projects are determined by a Modified Delphi method, the weights of criteria are calculated by applying the AHP method. The FTOPSIS method is then employed to achieve the final ranking results. A real case application along with a s.
author_names: Selcuk Percin

Cengiz Kahraman
title: An Integrated Fuzzy Multi Criteria Decision Making Approach for Six Sigma Project
venue: Int. J. Comput. Intell. Syst.
year: 2010

abstract: Abstract An ever increasing trend in today's industrial firms is to exploit outsourcing for those products and activities deemed to be outside the company's core business. Given the financial importance and the multi objective nature of supplier selection decision, in this paper an effort is made to highlight those aspects that are crucial to process qualitative and quantitative performance measures. In this paper, the contribution of a multi criteria decision aid method promethee/gaia to such problems is investigated, together with how to allow for a simultaneous change of the weights (importance of performance criteria) generating results that can be easily analysed statistically, performing an innovative sensitivity analysis. By way of example, the model is applied to a mid sized Italian firm operating in the field of public road and rail transportation. The whole suppliers selection model presented promethee/gaia techniques plus high dimensional sensitivity analysis) seems to be a useful additional tool inside the final choice phase of a supplier selection process. Finally, potential issues for future research are presented.
author_names: Riccardo Dulmin

Valeria Mininno
title: Supplier selection using a multi criteria decision aid method
year: 2002