scholarly journals Conceptual Design Evaluation Considering Confidence Based on Z-AHP-TOPSIS Method

2021 ◽  
Vol 11 (16) ◽  
pp. 7400
Author(s):  
Qinghua Liu ◽  
Jiadui Chen ◽  
Weixing Wang ◽  
Qing Qin
Keyword(s):  
Decision Making ◽  
Conceptual Design ◽  
Evaluation Method ◽  
Evaluation Criteria ◽  
Design Evaluation ◽  
Design Decision ◽  
Concept Design ◽  
Customer Requirements ◽  
Factors Affecting ◽  
Design Scheme

In concept design, effective decision making and management of schemes can shorten the design cycle and improve product quality. The decision maker (DM)’s confidence is one of the critical factors affecting the conceptual design evaluation. Although many studies use quantitative linguistic evaluation for design scheme decision-making, which improves product conceptual design decision-making efficiency and effectiveness, few studies consider the confidence level of a decision. A conceptual design evaluation method based on Z-numbers is proposed to solve this problem, considering the customer requirements and the DM’s confidence. Firstly, the evaluation criteria are determined by analyzing customer requirements; then, the fuzzy analytic hierarchy process in the Z-numbers environment (Z-AHP) is used to determine the criteria weight; Finally, the fuzzy technique for order preference by similarity to ideal solution method in the Z-numbers environment (Z-TOPSIS) is used to evaluate the design schemes to obtain the optimal scheme. The proposed method is applied to the selection of the design scheme of the waste containers in the kitchen. The results show that considering the DM’s self-confidence can achieve a more reasonable and practical evaluation of the conceptual design scheme, and it is easier to obtain the best scheme.

Evaluation Method for Conceptual Design Scheme Based on Fuzzy Mathematics

2012 ◽  
Vol 591-593 ◽  
pp. 25-29
Author(s):  
Peng Fei Tian ◽  
Shi Yan ◽  
Bi Ru Li
Keyword(s):  
Decision Making ◽  
Conceptual Design ◽  
New Product Development ◽  
Evaluation Method ◽  
Design Stage ◽  
Fuzzy Mathematics ◽  
Qualitative Information ◽  
Design Scheme ◽  
The Impact ◽  
Mathematics Method

Selecting the favorable conceptual design scheme is the first step to make a new product development (NPD) successfully. To guarantee reliability and rationality of decision-making about multiple design schemes in conceptual design stage under the impact of uncertainties and qualitative information, we have employed KJ method to cluster the evaluation factors into 5 clusters such as emotion, ergonomics, aesthetics, core technology, and impact; and fuzzy mathematics method to deal with uncertainties and qualitative information effectively. The weights of evaluation factors were calculated by analytical hierarchy process (AHP). Fuzzy mathematics method is the comprehensive evaluation method and quantitative analysis which based on the “maximum membership degree evaluation”. All design schemes are ranked and selected according to the multiple evaluation score of parts with their weights. Finally, a case study for decision-making is presented to demonstrate the application of the evaluation method.

Assessing Product Lifecycle Sustainability Using Uncertain Design Information at Conceptual Stage

2008 ◽  
Author(s):  
Q. Z. Yang ◽  
B. Song
Keyword(s):  
Conceptual Design ◽  
Product Information ◽  
Sustainability Assessment ◽  
Early Stage ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Design Decision ◽  
Fuzzy Evaluation ◽  
Product Lifecycle ◽  
Selection Of

This paper presents a hierarchical fuzzy evaluation approach to product lifecycle sustainability assessment at conceptual design stages. The purpose is to advocate the emerging use of lifecycle engineering methods in support of evaluation and selection of design alternatives for sustainable product development. A fuzzy evaluation model is developed with a hierarchical criteria structure to represent different sustainability considerations in the technical, economic and environmental dimensions. Using the imprecise and uncertain early-stage product information, each design option is assessed by the model with respect to the hierarchical evaluation criteria. Lifecycle engineering methods, such as lifecycle assessment and lifecycle costing analysis, are applied to the generation of the evaluation criteria. This would provide designers with a more complete lifecycle view about the product’s sustainability potentials to support decision-making in evaluation and selection of conceptual designs. The proposed approach has been implemented in a sustainable design decision-support software prototype. Illustrative examples are discussed in the paper to demonstrate the use of the approach and the prototype in conceptual design selection of a consumer product.

On Evaluation Method During Conceptual Design

2000 ◽  
Author(s):  
Yuan Mao Huang ◽  
Chung-Cheng Liao
Keyword(s):  
Decision Making ◽  
Conceptual Design ◽  
Evaluation Method ◽  
Pairwise Comparisons ◽  
Matrix Methods ◽  
Weighting Factors ◽  
Weighted Values

Abstract This study proposes an evaluation method that integrates the existing ordinal, cardinal and matrix methods for decision making. Normalized values are recommended for the pairwise comparisons of evaluation items to determine the weighting factors. These values also assist in determining the weighting eigenvectors for alternatives of the potential products. Web diagrams are generated for all alternatives and their areas are compared to identify the most preferred one. The proposed method can reduce drawbacks of the Pahl and Beitz method and the Saaty method when the two most preferred alternatives have the same summed weighted values in the Pahl and Beitz method or the same composite weighting factors in the Saaty method.

Fuzzy Information Axiom in Conceptual Design Scheme Evaluation of Handling Equipments

2012 ◽  
Vol 605-607 ◽  
pp. 263-266 ◽  
Author(s):  
Qin He ◽  
Rui Jun Zhang ◽  
Nan Guo ◽  
Dong Sheng Cong ◽  
Ji Wei Qiu
Keyword(s):  
Optimal Design ◽  
Evaluation Method ◽  
Theoretical Foundation ◽  
Concept Design ◽  
Fuzzy Information ◽  
Product Concept ◽  
Design Scheme ◽  
Fuzzy Language ◽  
Information Axiom ◽  
Scheme Evaluation

Applying fuzzy information axiom in product concept design, the evaluation method for design schemes based on fuzzy information axiom was built and the insufficient of estimation in qualitative indexes was overcome. Actual membership function curve was selected conform to different index types, and fuzzy language of qualitative indexes is numerical. Through computing information content of each product scheme, the optimal scheme was selected with the unified metrics. The model was applied in scheme evaluation of handling equipment in stereo garage and its effectiveness was verified. Meanwhile, the optimal design scheme of handling equipment in vertical rotary stereo garage was obtained and the theoretical foundation was provided for handing equipment.

scholarly journals RANCANG BANGUN MESIN SENAI UNTUK ULIR M11

Infotekmesin ◽  
2019 ◽  
Vol 9 (02) ◽  
pp. 53-60
Author(s):  
Pujono Pujono ◽  
Istofa Rifqy Widya Fauzi
Keyword(s):  
Decision Making ◽  
Ball Bearing ◽  
Maximum Size ◽  
Design Decision ◽  
Concept Design ◽  
Motor Power ◽  
Initial Idea ◽  
Machine Elements ◽  
Designing Method ◽  
Real Machine

Bolting machine is a machine which is designed to conduct the making process of outside thread without rotating the handlebar of workpiece using hand manually, Therefore, the machine can help the processing in some industries which do not have qualified operators. The purpose of the designing and calculating of machine elements on senai machineis to create a design and make it in real product that can create outside thread with the maximum size of M11, to calculate parts of machine elements, i.e. axis diameter and sprocket chain and to create the real machine product. The designing method used follows these steps, i.e. problem identification, initial idea, improvement of the idea, analysis of design, decision making, and implementation. The result of the evaluation on concept design was the cutter holder on the chuck variable and themover shaft handle. The result of machine elements calculation showed that the electric motor power was 40 watt, shaft diameter was 25 mm with inside diameter of 16 mm, the bearing used was 6205 Ball Bearing, and the thread capacity was M11 metric thread.

A design—decision support framework for evaluation of design options/proposals using a composite structure methodology based on the approximate reasoning approach and the evidential reasoning method

2003 ◽  
Vol 217 (1) ◽  
pp. 59-76 ◽  
Author(s):  
H S Sii ◽  
J Wang
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Composite Structure ◽  
Evidential Reasoning ◽  
Approximate Reasoning ◽  
Design Evaluation ◽  
Design Decision ◽  
Technical Performance ◽  
Decision Support Framework ◽  
Design Decision Support

With the cost of construction, operation and maintenance estimates in the multi-millions of pounds, the offshore industry is seeking ways of reducing both the time and money spent in providing the high-quality offshore structures needed to support oil and gas extraction and production. Most real world design evaluation and risk-based decision support combine quantitative and qualitative (linguistic) variables. Decision making based on conventional mathematics that combines qualitative and quantitative concepts always exhibits difficulty in the modelling of actual problems. The successful selection process for choosing a design/procurement proposal is based on a high degree of technical integrity, safety levels and low costs in construction, corrective measures, maintenance, operation, inspection, as well as preventive measures. However, the objectives of maximizing the degree of technical performance, maximizing the safety levels and minimizing the costs incurred are usually in conflict, and the evaluation of the technical performance, safety and costs is always associated with uncertainty, especially for a novel system at the initial concept design stage. In this paper, a design—decision support framework using a composite structure methodology grounded in an approximate reasoning approach and an evidential reasoning method is suggested for design evaluation of offshore engineering products at the initial stages. It is a multiple attribute decision-making (MADM) or multiple-criteria decision-making framework, which provides a juxtaposition of cost, safety, and technical performance and other objectives of a system during evaluation to assist decision makers in selecting the winning design/procurement proposal that best satisfies the requirement in hand. It has also been shown that the formal decision-making techniques such as the Analytical Hierarchy Process (AHP) and the Delphi method can be incorporated with the proposed framework in carrying out design support evaluation. An illustrative example is used to demonstrate the application of the proposed framework.

Reliability-Based Topology Optimization Considering Multicriteria Using Frame Elements

2005 ◽  
Author(s):  
Katsuya Mogami ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki ◽  
Masataka Yoshimura ◽  
Nozomu Kogiso
Keyword(s):  
Decision Making ◽  
Topology Optimization ◽  
Conceptual Design ◽  
Environmental Changes ◽  
Mechanical Design ◽  
Optimization Method ◽  
Design Stage ◽  
Design Decision ◽  
Discrete Elements ◽  
Detailed Design

Since decision-making at the conceptual design stage critically affects final design solutions at the detailed design stage, conceptual design support techniques are practically mandatory if the most efficient realization of optimal designs is desired. Topology optimization methods using discrete elements such as frame elements enable a useful understanding of the underlying mechanics principles of products, however the possibility of changing prior assumptions concerning utilization environments exists since the detailed design process starts after the completion of conceptual design decision-making. In order to avoid product performance reductions due to such later-stage environmental changes, this paper discusses a reliability-based topology optimization method that can secure specified design goals even in the face of environmental factor uncertainty. This method can optimize mechanical structures with respect to two principal characteristics, namely structural stiffness and eigen-frequency. Several examples are provided to illustrate the utility of the method presented here for mechanical design engineers.

Software and Hardware FPGA-Based Digital Watermarking and Steganography Approaches: Toward New Methodology for Evaluation and Benchmarking Using Multi-Criteria Decision-Making Techniques

2017 ◽  
Vol 26 (07) ◽  
pp. 1750116 ◽  
Author(s):  
B. B. Zaidan ◽  
A. A. Zaidan
Keyword(s):  
Decision Making ◽  
Digital Watermarking ◽  
Large Scale ◽  
Evaluation Method ◽  
Evaluation Criteria ◽  
Decision Matrix ◽  
Multi Criteria Evaluation ◽  
Field Programmable ◽  
Software And Hardware ◽  
Two Stages

Evaluating and benchmarking software and hardware field programmable gate array (FPGA)-based digital watermarking are considered challenging tasks because of multiple and conflicting evaluation criteria. A few evaluation and benchmarking techniques/frameworks have been implemented to digital watermarking or steganography; however, these approaches still present certain limitations. In particular, fixing some attributes on account of other attributes and well-known benchmarking approaches are limited to robust watermarking techniques. Thus, this study aims toward a new methodology for evaluation and benchmarking using multi-criteria analysis for software and hardware “FPGA”-based digital watermarking or steganography. To achieve this objective, two iterations are conducted. The first iteration consists of two stages: discussing software and hardware “FPGA”-based digital watermarking or steganography to create a dataset with various samples for benchmarking and discussing the evaluation method and then discussing the test for software and hardware “FPGA”-based digital watermarking or steganography according to multi-criteria evaluation (i.e., complexity, payload and quality) to create a decision matrix. The second iteration applies different decision-making techniques (i.e., SAW, MEW, HAW, TOPSIS, WSM and WPM)) to benchmark the results of the first iteration (i.e., software or hardware FPGA-based digital watermarking or steganography approaches). Then, the discussed mean, standard deviation and paired sample [Formula: see text]-test results are used to measure the correlations among different techniques based on the ranking results. The discussion findings are described as follows: (1) the integration of developer and evaluator preferences into the evaluation and benchmarking for software and hardware FPGA-based digital watermarking or steganography, (2) the process of assigning weights and (3) visualizing large-scale data sample in either software or hardware FPGA-based digital watermarking or steganography algorithms.

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