Computing similarity of text-based assembly processes for knowledge retrieval and reuse

Renu, Rahul Sharan; Mocko, Gregory M.

doi:10.1016/j.jmsy.2016.03.004

Cited by 21 publications

(6 citation statements)

References 10 publications

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“…This application scenario corresponds to the process of mining a database to retrieve design information and documentation associated with a given product. Generally, it allows obtaining useful knowledge for the design of a new product: technical information, production processes and costs associated with similar products previously developed [50]. For instance, if a designer wants to retrieve assembly instructions of some products, it might be useful to retrieve models considered either globally, partially or locally similar according to the mating conditions between components.…”

Section: Product Information Reusementioning

confidence: 99%

Content-based CAD assembly model retrieval: Survey and future challenges

Lupinetti

Pernot

Monti

et al. 2019

Computer-Aided Design

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Currently, the content-based retrieval is a problem of major interest in several different fields and, focusing on mechanical engineering, many approaches exist to compare and retrieve single CAD parts, to evaluate shape similarity, to extract features and to segment models. However, most of the proposed approaches do not take into account all the key characteristics of an assembly model, such as the relationships between its components, and the different levels according to which two assembly models can be considered similar, i.e. either globally, partially, or locally. For these reasons, the retrieval of CAD assembly models still faces challenges to fully satisfy designers' expectations. The aim of this paper is to review the state-of-the-art of works addressing the CAD assembly model retrieval and to identify future challenges and possible research directions. Firstly, the paper highlights the user requirements for CAD assembly model retrieval and proposes a set of criteria for analyzing the available methods grouped into the following macro-categories: objective, assembly characterization, assembly descriptor, query specification and type of similarity. Secondly, it describes and characterizes the available methods by organizing them according to the adopted criteria. Finally, it discusses the open issues and future challenges.

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Section: Product Information Reusementioning

confidence: 99%

Content-based CAD assembly model retrieval: Survey and future challenges

Lupinetti

Pernot

Monti

et al. 2019

Computer-Aided Design

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“…a) Info_D is the basic information of the designer, defined as Info_D = {ID_D, Name, Age, Dpt, Pos} (8) where ID_D, Name, Age, Dpt, and Pos are the ID, name, age, department, and post of the designer, respectively. b) Cts is the set of tasks completed by the designer, denoted as…”

Section: B Designer Ontology Modelmentioning

confidence: 99%

“…The knowledge that has the highest similarity value to the task is generally considered to be the best result. There are three main types of similarity computations [8]. The first type is based on keyword matching, e.g., the N-gram method [9] or the Jaccard method [10].…”

Section: Introductionmentioning

confidence: 99%

A Correlation-Experience-Demand Based Personalized Knowledge Recommendation Approach

et al. 2019

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Knowledge recommendation is an important means of knowledge reuse that can improve the efficiency and quality of product design. However, at present, there is no good way to fully consider the personalized demands of designers while ensuring the applicability of the recommendation results. Previous studies have usually been based on the similarity between tasks and knowledge or use collaborative filtering technology to accomplish knowledge recommendation. However, these methods do not consider the personal experience of designers and the characteristics of knowledge. This paper proposes a knowledge recommendation approach that integrates the degree of correlation between knowledge and tasks, the feedback-based personal experience, the collective experience of designers, and the degree of demand for knowledge based on the forgetting curve. A knowledge assistance score is generated based on these factors, and the knowledge recommendation list is obtained by ranking the knowledge in descending order of this score. Finally, the approach is applied to a machine shop layout design task and a computer numerical control (CNC) machine tool's spindle design and bearings selection task. The experimental results on two tasks demonstrate that the proposed approach outperforms three baselines on three ranking oriented evaluation metrics. This approach can effectively shorten the time for designers to acquire knowledge by recommending applicable knowledge to assist designers in completing design tasks with high quality and efficiency. INDEX TERMS Collaborative filtering, degree of assistance, degree of correlation, degree of demand, knowledge recommendation, ontology model.

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“…However, reconfigurability should be designed to accomplish the change (Lee et al, 2019). When designing assembly processes, digital support tools are extremely helpful (Menn et al, 2018;Renu and Mocko, 2016;Roldán et al, 2019). Nevertheless, all such changes are intended to improve the process in terms of process efficiency increase.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Manual Assembly Line Based on Value Stream Mapping (VSM) and Efectiveness Coefficient

Klimecka-Tatar

Shinde

2019

Quality Production Improvement - QPI

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In the paper the possibilities of process re-organizing in relation to simple principles for limiting waste in the production cycle have been presented. Based on value stream mapping and monitoring of performance indicators, the possibilities of changes identification of in the assembly line process have been presented. Furthermore, based on the availability, performance and quality values, it has been proved that relatively small changes can have a very positive effect on the assembly process. Based on the OEE coefficient, it has been found that the proposed changes improved the process's efficiency by more than 20%.

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Computing similarity of text-based assembly processes for knowledge retrieval and reuse

Cited by 21 publications

References 10 publications

Content-based CAD assembly model retrieval: Survey and future challenges

Content-based CAD assembly model retrieval: Survey and future challenges

A Correlation-Experience-Demand Based Personalized Knowledge Recommendation Approach

Improvement of Manual Assembly Line Based on Value Stream Mapping (VSM) and Efectiveness Coefficient

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