Application of Statistical Process Control (SPC) in Manufacturing Industry in a Developing Country

Ignatio Madanhire, Charles Mbohwa

Research output: Contribution to journalConference articlepeer-review

38 Citations (Scopus)

Abstract

This research focused on studying the statistical process control tool in manufacturing systems with the broad aim of upgrading them to improve on quality and cost effectiveness. It represents an attempt to address the deficiency in the literature of SPC implementation. With emphasis on early detection and prevention of the problems, SPC was shown to have a distinct advantage over quality methods such as inspection of end product. There was need to check gauges and machines, and determine need for some maintenance or overhaul work to be carried out as faulty machines could not produce quality good products. There was need for operators to be trained, new documents to be produced and actions for the future to be agreed on. A system of reviewing the progress and monitor the result was to be effected with as much priority as that given to financial results.

Original languageEnglish
Pages (from-to)580-583
Number of pages4
JournalProcedia CIRP
Volume40
DOIs
Publication statusPublished - 2016
Event13th Global Conference on Sustainable Manufacturing, GCSM 2015 - Binh Du'o'ng New City, Viet Nam
Duration: 16 Sept 201518 Sept 2015

Keywords

  • SPC
  • TQM
  • competitiveness
  • conformance
  • inspection
  • quality control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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