某生产厂职业安全文化研究的调查问卷。数据正确性的构建和统计验证

IF 0.9 Q4 ENGINEERING, INDUSTRIAL

Management and Production Engineering Review Pub Date : 2023-11-06 DOI:10.24425/mper.2019.129573

Patryk Krupa, Izabela Gabrielewicz, Milan Edl, Peter Pantya, Justyna Patalas-Maliszewska

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引用次数: 0

摘要

本文介绍了与正确编制分析数据表、验证输入信息的正确性和可靠性以及正确的数据编码有关的问题。不正确的数据输入或编码会严重影响所执行分析的正确性或延长其时间。这一阶段的分析是由作者问卷提出的，用于研究一家制造工厂的职业安全文化，使用Statistica软件进行分析。本文使用了在职业安全问题研究过程中获得的真实数据以及对职业安全状态影响最大的因素。

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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Survey questionnaire for the study on occupational safety culture in a production plant.Construction and statistical verification of data correctness

The article presents the issue related with a proper preparation of a data sheet for the analysis, the way of verifying the correctness and reliability of input information, and proper data encoding. Improper input or coding of data can significantly influence the correctness of performed analyses or extend their time. This stage of an analysis is presented by an authorship questionnaire for the study on occupational safety culture in a manufacturing plant, using the Statistica software for analyses. There were used real data, obtained during the research on the issue of occupational safety and factors having the greatest influence on the state of occupational safety.

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来源期刊

Management and Production Engineering Review ENGINEERING, INDUSTRIAL-

CiteScore

2.80

自引率

21.40%

发文量

期刊介绍： Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management.