Knowledge base development for assembly planning using evidence theory.

Q2 Engineering

Journal of Machine Engineering Pub Date : 2022-04-18 DOI:10.36897/jme/149185

I. Kutschenreiter-Praszkiewicz, Marcin Matuszny

引用次数: 0

Abstract

This paper presents an approach to assembly planning in the early phase of product development. The product specification, workstation, environment, equipment and tools are not fully known in the early stage of product development. When comparing product variants at this stage there is a lack of data that affects the efficiency of the manufacturing process. It is therefore necessary to apply methods useful in processing incomplete and uncertain data. The main indicator which helps in comparing different product variants is manufacturing time standard. This papier is focused on assembly tool selection which is one of important data influenced assembly time. Based on the proposed algorithm and case study, a tool selection method using a decision tree induced from a training set with reduced uncertainty is presented.

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运用证据理论开发装配计划知识库。

本文提出了一种在产品开发初期进行装配规划的方法。在产品开发初期，对产品规格、工作站、环境、设备、工具等并不完全了解。在此阶段比较产品变体时，缺乏影响制造过程效率的数据。因此，有必要采用有用的方法来处理不完整和不确定的数据。帮助比较不同产品变体的主要指标是制造时间标准。对影响装配时间的重要数据之一——装配工具的选择进行了研究。在此基础上，结合实例研究，提出了一种基于减少不确定性的训练集生成决策树的工具选择方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Machine Engineering Engineering-Industrial and Manufacturing Engineering

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

25 weeks

期刊介绍： ournal of Machine Engineering is a scientific journal devoted to current issues of design and manufacturing - aided by innovative computer techniques and state-of-the-art computer systems - of products which meet the demands of the current global market. It favours solutions harmonizing with the up-to-date manufacturing strategies, the quality requirements and the needs of design, planning, scheduling and production process management. The Journal'' s subject matter also covers the design and operation of high efficient, precision, process machines. The Journal is a continuator of Machine Engineering Publisher for five years. The Journal appears quarterly, with a circulation of 100 copies, with each issue devoted entirely to a different topic. The papers are carefully selected and reviewed by distinguished world famous scientists and practitioners. The authors of the publications are eminent specialists from all over the world and Poland. Journal of Machine Engineering provides the best assistance to factories and universities. It enables factories to solve their difficult problems and manufacture good products at a low cost and fast rate. It enables educators to update their teaching and scientists to deepen their knowledge and pursue their research in the right direction.