A Computer Aided Assembly Sequence Evaluation Method Based on the Fuzzy Theory for the Complex Products

2011 ◽  
Vol 421 ◽  
pp. 381-387
Author(s):  
Lei Zhao ◽  
Yuan Li ◽  
Yan Ping Wang
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Assembly Sequence ◽  
Practical Application ◽  
Multi Index ◽  
Complex Products ◽  
Evaluation Mode ◽  
Computer Aided ◽  
Distributed Method

Aim at the characteristic of airplane assembly sequence evaluation, which has too many rules, and the quantity process of qualitative rules is too complicated, this paper presents an evaluation mode based on the fuzzy theory and the multi-index progressive model. According to the evaluation rules space and the coefficient distributed method of rules compared, it divides the rules space into force associated decision-making gather and weak associated decision-making gather by defining the cut value. Then it adopts the maximal subjection fundamental to implement the function of assembly sequence evaluation. An instance about airplane sub-assembly is used to prove this method can solve a practical application availably.

scholarly journals Multi-index data dimension reduction approach and its applicability in the calculation of indicators of hydrological alteration

2018 ◽  
Vol 50 (1) ◽  
pp. 231-243 ◽  
Author(s):  
Wenhai Zhang ◽  
Yangwen Jia ◽  
Jinjin Ge ◽  
Xiaorong Huang ◽  
Guangheng Ni ◽  
...  
Keyword(s):  
Dimension Reduction ◽  
Evaluation Method ◽  
Practical Application ◽  
Multi Index ◽  
Single Index ◽  
Hydrological Alteration ◽  
Computational Data ◽  
Ecological Relationship ◽  
Data Volume ◽  
Data Requirements

AbstractThe length of record (LOR) method is an evaluation method that provides quantitative advice for the amount of computational data required for use of the indicators of hydrological alteration (IHA). The use of multi-index hydrological indicators to reflect river hydrological–ecological characteristics is the essence of the IHA method, while the LOR evaluation result using a single index does not have practical application value in the absence of IHA data volume. In this paper, we expand the LOR method from single index version into multi-index version, apply it to comprehensively analyze the credibility of hydrological alteration (HA) multi-indicators under different data volumes, and explore the relationship between multi-index LOR results and data requirements. Combined with the hydrological–ecological relationship, the practical application criteria of LOR dimension reduction under the condition of multiple HA indicators is given. The results show that the LOR results corresponding to each group of indicators in IHA have different data requirements, so an in-depth understanding of the hydrological–ecological relationship is the key to LOR's application of IHA data dimension reduction. In addition, we discuss the limitations of the LOR method of multi-index dimension reduction and its application value in IHA calculations.

scholarly journals The Decision of an Eco-Friendly Reservoir Operation Scheme Based on a Variable Set

Water ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1694
Author(s):  
Hai-tao Chen ◽  
A-long Li ◽  
Wen-chuan Wang ◽  
Zhao Zhao
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Reservoir Operation ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Simple Calculation ◽  
Scheduling Scheme ◽  
Scheme Optimization ◽  
Starting Point ◽  
New Ideas

The river ecosystem has the characteristics of the coexistence of clarity and ambiguity. The starting point of eco-friendly reservoir operation is to fully consider the ecological water requirements of the lower reaches of the reservoir, so it also has the characteristics of clarity and vagueness. The fuzzy theory is an excellent tool to realize the quantification of fuzzy concepts. In this paper, the variable set theory (VS) is introduced into the decision-making field of eco-friendly reservoir scheduling scheme optimization. Taking Ertan Hydropower Station as an example, the scheduling scheme optimization is carried out. To verify the effectiveness of the evaluation method, this paper compares and analyzes the evaluation results of the fuzzy set evaluation method and the composite fuzzy matter-element method. The results show that the variable fuzzy set method has the advantages of rigorous theory, a concise model, and simple calculation, and the decision result is reasonable and reliable. This research can provide new ideas for the decision-making research of engineering.

Application of Gray Fuzzy Theory in the Post Evaluation of the Huaihe River Treatment Engineering

2012 ◽  
Vol 209-211 ◽  
pp. 1194-1198
Author(s):  
Jian Long Gao ◽  
Jian Liu
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Essential Element ◽  
Social Stability ◽  
Fuzzy Evaluation ◽  
River Engineering ◽  
Huaihe River ◽  
Post Evaluation ◽  
The Huaihe River

Chinese Huaihe River treatment engineering had made brilliant achievements which provided a reliable guarantee of social stability, development and prosperity of watershed economy. As a means of decision-making and management of construction project, the post evaluation of the project was an essential element of basic procedures of project management. Combined with the gray fuzzy evaluation method, project post evaluation on the Huaihe River engineering was conducted in this paper. The result showed that the gray fuzzy evaluation method could reduce the influence of subjective factors impacted on project post evaluation to some extent, and make the qualitative issues quantification possible.

Evaluation Method for Students’ Grade Statistics System Based on Fuzzy Analytic Hierarchy Process

2012 ◽  
Vol 433-440 ◽  
pp. 5339-5343
Author(s):  
Shi Lei
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Fuzzy Approach ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
Hierarchy Process

Analytic hierarchy process (AHP) and fuzzy theory which is defined as fuzzy analytic hierarchy process (FAHP) has been widely used for a variety of applications including evaluation and decision-making. In the study, the method based on FAHP is proposed to evaluate students’ grade statistics system, where analytic hierarchy process is a common method and is applied for various sectors for analyzing qualitative criteria to weight the alternatives, and the merit of using fuzzy approach is to express the distribution of evaluation values of each index. On the basis of describing evaluation indexes for students’ grade statistics system, and the evaluation model of students’ grade statistics system is created based on analytic hierarchy process and fuzzy theory. Finally, the case is adopted to testify the effectiveness of the proposed method.

Structural Analysis of Product and Computer-Aided Assembly Planning in AssemBL Software Package

2018 ◽  
pp. 11-33
Author(s):  
A. N. Bozhko
Keyword(s):  
Computer Aided Design ◽  
State Of The Art ◽  
Graph Model ◽  
Design System ◽  
Assembly Planning ◽  
Complex Products ◽  
Assembly Sequences ◽  
Computer Aided ◽  
Cad Cam ◽  
Aided Design

Computer-aided design of assembly processes (Computer aided assembly planning, CAAP) of complex products is an important and urgent problem of state-of-the-art information technologies. Intensive research on CAAP has been underway since the 1980s. Meanwhile, specialized design systems were created to provide synthesis of assembly plans and product decompositions into assembly units. Such systems as ASPE, RAPID, XAP / 1, FLAPS, Archimedes, PRELEIDES, HAP, etc. can be given, as an example. These experimental developments did not get widespread use in industry, since they are based on the models of products with limited adequacy and require an expert’s active involvement in preparing initial information. The design tools for the state-of-the-art full-featured CAD/CAM systems (Siemens NX, Dassault CATIA and PTC Creo Elements / Pro), which are designed to provide CAAP, mainly take into account the geometric constraints that the design imposes on design solutions. These systems often synthesize technologically incorrect assembly sequences in which known technological heuristics are violated, for example orderliness in accuracy, consistency with the system of dimension chains, etc.An AssemBL software application package has been developed for a structured analysis of products and a synthesis of assembly plans and decompositions. The AssemBL uses a hyper-graph model of a product that correctly describes coherent and sequential assembly operations and processes. In terms of the hyper-graph model, an assembly operation is described as shrinkage of edge, an assembly plan is a sequence of shrinkages that converts a hyper-graph into the point, and a decomposition of product into assembly units is a hyper-graph partition into sub-graphs.The AssemBL solves the problem of minimizing the number of direct checks for geometric solvability when assembling complex products. This task is posed as a plus-sum two-person game of bicoloured brushing of an ordered set. In the paradigm of this model, the brushing operation is to check a certain structured fragment for solvability by collision detection methods. A rational brushing strategy minimizes the number of such checks.The package is integrated into the Siemens NX 10.0 computer-aided design system. This solution allowed us to combine specialized AssemBL tools with a developed toolkit of one of the most powerful and popular integrated CAD/CAM /CAE systems.

Patient-Centered Care and Autonomy: Shared Decision-Making in Practice and a Suggestion for Practical Application in the Critically Ill

2019 ◽  
Vol 35 (11) ◽  
pp. 1352-1355
Author(s):  
Marianna V. Mapes ◽  
Peter A. DePergola ◽  
William T. McGee
Keyword(s):  
Decision Making ◽  
Palliative Care ◽  
Critically Ill ◽  
Care Service ◽  
Clinical Care ◽  
Patient Centered Care ◽  
Practical Application ◽  
Patient Centeredness ◽  
Patient Centered ◽  
Centered Care

Decision-making for the hospitalized dying and critically ill is often characterized by an understanding of autonomy that leads to clinical care and outcomes that are antithetical to patients’ preferences around suffering and quality of life. A better understanding of autonomy will facilitate the ultimate goal of a patient-centered approach and ensure compassionate, high-quality care that respects our patients’ values. We reviewed the medical literature and our experiences through the ethics service, palliative care service, and critical care service of a large community teaching hospital. The cumulative experience of a senior intensivist was filtered through the lens of a medical ethicist and the palliative care team. The practical application of patient-centered care was discerned from these interactions. We determined that a clearer understanding of patient-centeredness would improve the experience and outcomes of care for our patients as well as our adherence to ethical practice. The practical applications of autonomy and patient-centered care were evaluated by the authors through clinical interactions on the wards to ascertain problems in understanding their meaning. Clarification of autonomy and patient-centeredness is provided using specific examples to enhance understanding and application of these principles in patient-centered care.

A partner selection problem for complex product of manufacturing enterprises in supply chain

2021 ◽  
pp. 1-13
Author(s):  
Congdong Li ◽  
Yinyun Yu ◽  
Wei Xu ◽  
Jianzhu Sun
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Fuzzy Theory ◽  
Partner Selection ◽  
Manufacturing Companies ◽  
Complex Product ◽  
Manufacturing Enterprises ◽  
Collaborative Manufacturing ◽  
Matching Degree ◽  
Decision Making Model

In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.

Risk early warning management and intelligent real-time system of financial enterprises based on fuzzy theory

2020 ◽  
pp. 1-11
Author(s):  
Qiaoying Ding
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Financial Risk ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Real Time System ◽  
Enterprise Risk ◽  
Early Warning Management

The financial market is changing rapidly. Since joining the WTO, our country’s financial companies have faced pressure from dual competition at domestic and abroad. The complex internal and external environment has forced financial enterprise managers to improve risk prevention awareness, early warning and monitoring, so as to responding to emergencies and challenges in the financial market. However, traditional forecasting and analysis methods have problems such as large workload, low efficiency, and low accuracy. Therefore, this article applies intelligent computing to the forecast of financial markets, using related concepts of fuzzy theory and Internet intelligent technology, and proposes to establish a model system for financial enterprise risk early warning management and intelligent real-time monitoring based on fuzzy theory. This article first collected a large amount of data through the literature investigation method, and made a systematic and complete introduction to the related theoretical concepts of fuzzy theory and financial risk early-warning management, has laid a sufficient theoretical foundation for the subsequent exploration of the application of fuzzy theory in financial enterprise risk early warning management and intelligent real-time systems; Then a fuzzy comprehensive evaluation method that combines the analytic hierarchy process and fuzzy evaluation method is proposed, taking a listed company mainly engaged in automobile sales in our province as a case, the company’s financial risk management and modeling experiment of the intelligent real-time system; Finally quoted specific cases again, used the fuzzy comprehensive evaluation method to carry out risk warning and evaluation on the PPP projects of private enterprises in our province, and concluded that the project risk score is between 20-60, which is meet the severe-medium range in the risk level. Research shows that the use of fuzzy theory and modern network technology can make more accurate warnings and assessments of potential and apparent risks of financial enterprises, greatly improving the safety of financial enterprise management and reducing the losses caused by various risks.

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