Productivity improvement of a manufacturing industry by process improvement through bottleneck and root cause analysis

2019 ◽  
Author(s):  
S. Sooraj ◽  
N. Vijayakumar ◽  
V. N. Gaitonde ◽  
B. B. Kotturshettar
Keyword(s):  
Process Improvement ◽  
Manufacturing Industry ◽  
Root Cause Analysis ◽  
Productivity Improvement ◽  
Cause Analysis ◽  
Root Cause

Smart Manufacturing Through a Framework for a Knowledge-Based Diagnosis System

2017 ◽  
Author(s):  
Michael P. Brundage ◽  
Boonserm Kulvatunyou ◽  
Toyosi Ademujimi ◽  
Badarinath Rakshith
Keyword(s):  
Manufacturing Industry ◽  
Ad Hoc ◽  
Root Cause Analysis ◽  
Medical Community ◽  
Smart Manufacturing ◽  
Cause Analysis ◽  
Diagnosis System ◽  
Standard Representation ◽  
Root Cause ◽  
Knowledge Based

Various techniques are used to diagnose problems throughout all levels of the organization within the manufacturing industry. Often times, this root cause analysis is ad-hoc with no standard representation for artifacts or terminology (i.e., no standard representation for terms used in techniques such as fishbone diagrams, 5 why’s, etc.). Once a problem is diagnosed and alleviated, the results are discarded or stored locally as paper/digital text documents. When the same or similar problem reoccurs with different employees or in a different factory, the whole process has to be repeated without taking advantage of knowledge gained from previous problem(s) and corresponding solution(s). When discussing the diagnosis, personnel may miscommunicate over terms used in the root cause analysis leading to wasted time and errors. This paper presents a framework for a knowledge-based manufacturing diagnosis system that aims to alleviate these miscommunications. By learning from diagnosis methods used in manufacturing and in the medical community, this paper proposes a framework which integrates and formalizes root cause analysis by categorizing faults and failures that span multiple organizational levels. The proposed framework aims to enable manufacturing operations by leveraging machine learning and semantic technologies for the manufacturing system diagnosis. A use case for the manufacture of a bottle opener demonstrates the framework.

scholarly journals Process improvement through Root Cause Analysis

1996 ◽  
pp. 35-47 ◽  
Author(s):  
G. Damele ◽  
G. Bazzana ◽  
F. Andreis ◽  
F. Aquilio ◽  
S. Arnoldi ◽  
...  
Keyword(s):  
Process Improvement ◽  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause

Root Cause analysis of SG tube ODSCC indications within the tube sheets of NPP biblis unit A

2011 ◽  
pp. 78-86
Author(s):  
R. Kilian ◽  
J. Beck ◽  
H. Lang ◽  
V. Schneider ◽  
T. Schönherr ◽  
...  
Keyword(s):  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause
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