Cheng-Ru Wu

An application of AHP and sensitivity analysis for selecting the best slicing machine

Wafer slicing is a complex manufacturing process, complicating efforts to monitor process stability and quality control effectively. This study discusses and develops a manufacturing quality yield model for forecasting 12 in. silicon wafer slicing based on the Analytic Hierarchy Process (AHP) framework. Decision Makers can select evaluation outcomes to identify the most precise machine. Additionally, EWMA control chart is presented to demonstrate and verify the feasibility and effectiveness of the proposed AHP-based algorithm. Finally, sensitivity analysis is performed to test the stability of the priority ranking. Therefore, this work illustrates how the AHP model would be implemented to help engineers determine the manufacturing process yield quickly and effectively.

Evaluating digital video recorder systems using analytic hierarchy and analytic network processes

Digital video recorder (DVR) systems are novel security products with significant potential for application in the surveillance market, which, like many other areas of security technology, is changing quickly. Consumer demand and procuring budgets of system development firms are increasingly being emphasized, motivating upgrades to system quality. Digital surveillance systems include both hardware and software. Procurers have difficulty complying with these standards due to the wide gap between the descriptions in the standards and interpretations of evaluations of digital video recorder systems such as the functions of channel, recording, playback and display, communication and remote transmission. A case study compares the analytic hierarchy process (AHP) and analytic network process (ANP) decision models, and the comparison results indicate that interdependencies can affect real decisions. For network-like decision models (i.e., decision problems that can be structured in a network model form), ANP represents an effective tool for providing an accurate solution for administrators or managers of this case.

Applying fuzzy hierarchy multiple attributes to construct an expert decision making process

The main objective of this paper is to propose an approach within the AHP framework for tackling the uncertainty and imprecision of service evaluations during pre-negotiation stages, where the experts comparison judgments are represented as fuzzy triangular numbers. A fuzzy prioritization method, which derives crisp priorities from consistent and inconsistent fuzzy comparison matrices, is described. The fuzzy analytic hierarchy process (FAHP)-based decision-making method can provide decision makers or buyer a valuable reference for evaluating software quality. A case study demonstrates the effectiveness of the proposed scheme. Importantly, the proposed scheme can assist decision makers in assessing the feasibility of digital video recorder system to management public space, making it highly applicable for academic and commercial purposes.

Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP

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-makers 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.

Integrating fuzzy theory and hierarchy concepts to evaluate software quality

This study proposes a software quality evaluation model and its computing algorithm. Existing software quality evaluation models examine multiple characteristics and are characterized by factorial fuzziness. The relevant criteria of this model are derived from the international norm ISO. The main objective of this paper is to propose a novel Analytic Hierarchy Process (AHP) approach for addressing uncertainty and imprecision in service evaluation during pre-negotiation stages, where comparative judgments of decision makers are represented as fuzzy triangular numbers. A new fuzzy prioritization method, which derives crisp priorities from consistent and inconsistent fuzzy comparison matrices, is proposed. The Fuzzy Analytic Hierarchy Process (FAHP)-based decision-making method can provide decision makers or buyers with a valuable guideline for evaluating software quality. Importantly, the proposed model can aids users and developers in assessing software quality, making it highly applicable for academic and commercial purposes.

Selecting the preferable bancassurance alliance strategic by using expert group decision technique

Bancassurance has enjoyed considerable success in Europe, but this concept is relatively new for Asian countries, having emerged only in 2002. Thus, the aim of this paper is to search and identify the preferable bancassurance alliance structure from the executive management perspectives. We adopt the analytical hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to construct an evaluation method. Finally, this study proves that Financial Holding Company model in bancassurance alliance models is preferable for the executive.

Developing a Project Evaluation and Testing Model to Assess Stable Photovoltaic Slicing Machine

This study discusses and develops a project selection model for the purchase of diamond cutting machines for 12-in. photovoltaic silicon wafer slicing based on an analytical network process and preference by similarity to ideal solution (ANP-TOPSIS) method. Simultaneously, process capability indices are presented to test and verify the feasibility and effectiveness of the proposed method. The proposed method can help decision makers to establish a project evaluation and testing mode to affect and choose the best mode for diamond cutting machines of photovoltaic wafer slicing.

Group Decision–Making in a Multiple Criteria Environment—A Case Using the AHPGR Model to Assess Digital Video Recorder Systems

Digital video recorder software is increasingly common given the burgeoning popularity of the surveillance market. The proposed model includes the Analytic Hierarchy Process (AHP) to determine the weights of evaluation. Grey Relational Analysis (GRA) is then performed to rank the digital video recorder software. The AHP and GRA-based decision-making method can provide decision makers or buyers with a valuable reference for evaluating software quality. A case study demonstrates the effectiveness of the proposed scheme. Importantly, the proposed scheme can assist decision makers in assessing the feasibility of digital video recorder software, making it highly applicable for academic and commercial purposes.

A simplified measurement scheme for software quality

An approach of software quality evaluation model and its computing algorithm is proposed in this paper. The software support can reduce barriers of application of MCDM procedures. In this study, we proposal the software quality measurement. The relevant criteria of this model are derived from the international norm ISO 9126–1. AHP is a measurement theory that prioritizes the hierarchy and consistency of judgemental data provided by a group of decision makers. AHP incorporates the evaluations of all decision makers into a final decision, without having to elicit their utility functions on subjective and objective criteria, by pair-wise comparisons of the alternatives. The Analytic Hierarchy Process (AHP)-based decision-making method can provide decision makers or purchasers a valuable reference for evaluating software quality. Importantly, the proposed model can assist the user and developer to assess the software quality, making it highly applicable for academia and commercial purposes.

Combining Gray Relation and Analytical Hierarchy Process Concepts to Develop a Decision Support System of Supply Chain Project Management

Supplier selection is an important decision for effective supply chain project management (SCPM) of Notebook PC. Due to global business competition, suppliers are required to supply raw materials with the right quality and quantity. Suppliers are responsible for reducing the inventory costs and improving product quality. This paper deals with the development of a decision support system based on the integration of analytical hierarchy process and gray relational analysis for supplier selection. The additive normalization method is used as the prioritization method to calculate the priority vector. The analysis results indicate that the proposed selection model enables the manager to select the SCPM of Notebook PC more objectively by allowing them to deploy effectively. The proposed model can also be applied to other high technology factories, thus enhancing Taiwanese competitive advantage.