Publication: Short production runs spc monitoring mobile application using modified vmodel and fuzzy quality function deployment
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Date
2023-04-01
Authors
Lim Chong Hon
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Abstract
As a result of globalization, today’s marketplace is fiercely competitive. Catering to
consumers’ frequently changing tastes, many manufacturing sectors today embrace
customization to provide a greater product variety. In light of this, most of them
migrated their existing mass-production model into a short production runs model. This
research develops a mobile application (app) for online statistical process control (SPC)
monitoring for short production runs. The mobile app adopts the Deviation from
Nominal (DNOM) method and generates Shewhart control charts to monitor the
measured production variables remotely. Process capability examines the process
consistency over time, and Nelson rules determine out-of-control variables. The
research methodology applies a modified V-model software development approach,
integrating a 2-stage Fuzzy Quality Function Deployment (FQFD). The V-model aligns
development activities to the design requirements. FQFD solicits and decomposes user
requirements into design requirements. The methodology was demonstrated through the
development of an online SPC monitoring app. In the demonstration, FQFD structurally
related user requirements, system requirements and design strategies along the Vmodel’s
verification phases. Additionally, the validation phases used the test plans
created during the verification phases to detect and correct programming errors. In the
final validation stage, the focus group agreed that the mobile app met all the user
requirements that were requested. From the results of the acceptance test questionnaire,
of the nine questions pertaining to the fulfilment of the mobile app requirements, all
come with a score of 90% above except the case of using SMS as an effective alert which scored a 60%.The conceived app based SPC monitoring system comprises of a
cloud database, mobile internet network, and an online SPC monitoring mobile app built
using the MIT App Inventor 2 platform and Google Workspace. Simulated data from a
flywheel fabrication case study is used to validate the app’s functionality. This study
adds to the methodology’s novelty by proposing and demonstrating the integration of
the FQFD and V-model into the development of mobile applications.