Application of the quick scan audit methodology in an industrial filter production process

Yang, Biao, Obeng Frimpong, Annabelle A, Yang, Ying and Liu, Lana (2019) Application of the quick scan audit methodology in an industrial filter production process. Production Planning and Control. ISSN 0953-7287

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The quick scan audit methodology (QSAM) is an established investigative tool to assess the health of business processes and supply chains within short schedules. This study extends the standard QSAM procedure to include the simulation step. It also extends the QSAM to a wider industry platform by applying it into the precision mechanical engineering industry, where managers have been under competitive pressure to reduce an industrial filter production lead time. Following a review of the relevant literature, this paper presents the research design adopted in the study. The QSAM has been conducted using various data collection techniques (such as observations, process activity mapping, interviews, questionnaires, brainstorming and access to company documents) and data analysis methods (including cause and effect analysis, Pareto analysis and time series plot). This is followed by the development of a set of improvement strategies, namely, direct information sharing, priority planning, and additional data recording and analysis. In addition to testing the potential benefits of changing scheduling approaches for the paint plant, simulation has been utilized in this study as a communication means to increase employee participation in the QSAM process and enhance the audit accuracy. It has also provided the case company with a better understanding of the behaviour and characteristics of the system under study, thus facilitating more thoughtful decisions to improve the system. The paper concludes with further research opportunities derived from this study.

Item Type: Article
Keywords: Quick scan audit methodology, Production lead time, Simulation, Precision mechanical engineering industry
Schools and Departments: University of Sussex Business School > Management
Subjects: T Technology > TS Manufactures > TS0155 Production management. Operations management
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Depositing User: Biao Yang
Date Deposited: 22 May 2019 08:59
Last Modified: 19 Jun 2020 01:00

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