Filling Capability Analysis For Shampoo Production: A Case Study in The Manufacturing Industry

DOI

10.2991/icbmr-18.2019.13How to use a DOI?

Keywords

Statistical Process Control, control chart, production, filling capability, shampoo, control parameters

Abstract

In today’s cosmetic market, shampoo is one consumer goods that is highly demanded. Its market competition is also very tough. In this situation, a shampoo manufacturing company should find a strategy to produce a high-quality product with good performance, less cost, and fewer losses. Thus, an improvement made must be straight to the point. To achieve that, accountability with hard data and evidence-based decision making is needed. Statistical Process Control provides accountability and is very essential in this quality–performance effort. A statistical process control chart allows us to see the capability of a process, whether a process is working correctly or not, whether the variation is natural or not, and what corrective action that we should take. To measure the capability, the terms Cp / Cpk is used. Cp is an indicator for process capability, while Cpk is an adjustment for Cp for the effect of non-centered distribution. In this paper, we will focus on improving the filling capability of a shampoo production process. A good filling capability is shown by Cp > 1.67 and Cpk > 1.67. Based on the study that has been done, it can be concluded that by having a good setting parameter, shut-off nozzle, flowmetric filling machine, proper size of hopper, and comprehensive training for operators, capability issue of the filling machine can be solved.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Miko Mei Irwanto
AU  - Mohammad Hamsal
AU  - Humiras Hardi Purba
PY  - 2019/03
DA  - 2019/03
TI  - Filling Capability Analysis For Shampoo Production: A Case Study in The Manufacturing Industry
BT  - Proceedings of the 12th International Conference on Business and Management Research (ICBMR 2018)
PB  - Atlantis Press
SP  - 73
EP  - 79
SN  - 2352-5428
UR  - https://doi.org/10.2991/icbmr-18.2019.13
DO  - 10.2991/icbmr-18.2019.13
ID  - Irwanto2019/03
ER  -