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DESIGN OF AN AUTOMATED MONITORING AND CONTROL SYSTEM FOR THE SOFT DRINK CAPPING MACHINE AND PROCESS MIXER
Author(s) -
Munashe Chikumbirike,
Givemore Kanyemba,
Gibson P. Chirinda,
Stephen Matope
Publication year - 2021
Publication title -
the south african journal of industrial engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 16
eISSN - 2224-7890
pISSN - 1012-277X
DOI - 10.7166/32-3-2637
Subject(s) - dmaic , six sigma , pareto chart , bottling line , process engineering , engineering , process (computing) , control chart , automotive engineering , manufacturing engineering , computer science , mechanical engineering , bottle , lean manufacturing , operating system
This paper is based on bottling process optimisation through continuous improvement. A case study was done at XYZ company. The Six Sigma Define, Measure, Analyze, Improve, and Control (DMAIC) methodology revealed that the bottling and capping processes were producing defects at 3 Sigma level. The 5 Whys, Pareto chart, fish bone diagram, and Suppliers, Inputs, Process, Outputs, Customers (SIPOC) model showed that loose-capped bottles (31.6%), under-fills (29.2%), and empty bottles (28.9%) caused the highest cost through poor quality. The monitoring system was designed to monitor the applied torque value, the capping head status, and the beverage temperature upon leaving the heat exchanger. The cooling system on the mix processor was designed using the closed loop control strategy. If the beverage temperature is not within 1 or 2 degrees Celsius, it is directed to secondary cooling; otherwise, it proceeds. The glycol inlet valve is actuated such that the flow of the coolant is adjusted to ensure that the primary cooling is efficient. The results show that it is possible to operate production within the Six Sigma level.

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