使用选定的精益生产工具对生产流程进行诊断

Q3 Engineering Diagnostyka Pub Date : 2024-07-10 DOI:10.29354/diag/190140

Sebastian Sobczuk, Jakub Liniewski, Anna Borucka

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引用次数: 0

摘要

现代制造企业应适应客户的需求和要求，生产的产品应满足客户的需求。满足这些要求是在市场上保持适当地位的关键。在生产系统中，生产流程有效运行的一个重要因素是生产物流，因此，本出版物的目的是对物流和生产流程进行诊断，并提出这方面的改进建议。为此，我们使用了精益生产概念的选定工具：SMED（单次换模）方法和 Goldratt 的约束理论。采用 SWOT 分析法确定公司的优势和劣势

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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Diagnostics of production processes using selected Lean Manufacturing tools

Modern manufacturing companies should adapt to the needs and requirements of customers, and the products manufactured should meet the needs of customers. Meeting these requirements is the key to maintaining an appropriate position on the market. In production systems, an important element of the efficient functioning of the production process is production logistics, therefore the aim of this publication was to diagnose logistics and production processes and propose improvements in this area. For this purpose, selected tools of the Lean Manufacturing concept were used: the SMED (Single Minute Exchange of Die) method and Goldratt's Theory of Constraints. SWOT analysis was used to determine the strengths and weaknesses of the company

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来源期刊

Diagnostyka Engineering-Mechanical Engineering

CiteScore

2.20

自引率

0.00%

发文量

期刊介绍： Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.