scholarly journals Evaluation Of The Efficacy Of Iot Deployment On Petro-Retail Operations

2021 ◽  
Vol 12 (4) ◽  
pp. 356-363
Author(s):  
Santanu Purohit, Et. al.
Keyword(s):  
Response Times ◽  
Retail Sector ◽  
Retail Outlet ◽  
Retail Operations ◽  
Gas Industry ◽  
Cause Analysis ◽  
Everyday Objects ◽  
Root Cause ◽  
Analysis Process ◽  
Internet Revolution

After the Internet revolution, Internet of Things (IoT) is expected to be the next big technological change, connecting equipment as well as everyday objects to help businesses explore new ways of creating and delivering value. In the Oil & Gas industry context, IoT has been deployed extensively in the upstream sector and also to some extent in the mid-stream sector. However, it’s implementation in the downstream (retail) sector has been limited. This paper explores the applicability and impact of deploying an IoT solution at a fuel retail outlet. In our experiment, a live outlet was chosen in Kolkata, where a limited IoT solution was deployed, for a period of 3 months. Our research shows that IoT implementation can yield significant operational benefits by reducing the response times, leading to increased operational uptime and hence sales. It can also help improve the root cause analysis process by providing increased data to identify the issue(s).

scholarly journals Employing a Root Cause Analysis Process to Improve Examination Quality

2019 ◽  
Vol 94 (1) ◽  
pp. 71-75 ◽  
Author(s):  
Sally A. Santen ◽  
Karri L. Grob ◽  
Seetha U. Monrad ◽  
Caren M. Stalburg ◽  
Gary Smith ◽  
...  
Keyword(s):  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause ◽  
Analysis Process ◽  
Examination Quality

Root Cause Analysis of Glovebox Glove Failure

2007 ◽  
Author(s):  
Y. H. Park ◽  
Michael Cournoyer
Keyword(s):  
Safety Concern ◽  
National Laboratory ◽  
Root Cause Analysis ◽  
Nuclear Materials ◽  
Alamos National Laboratory ◽  
Cause Analysis ◽  
Los Alamos National Laboratory ◽  
Root Cause ◽  
Analysis Process

The Nuclear Materials Technology (NMT) Division has the largest inventory of glovebox gloves at Los Alamos National Laboratory (LANL). Consequently, the minimization of unplanned breaches of the glove material, typically resulting in glove failures, is a significant safety concern in the daily operations in NMT Division facilities. To investigate processes and procedures that minimize unplanned breaches in the glovebox, information on glovebox glove failures has been compiled from formal records and analyzed using statistical methods. Based on these research results, the next step of the research is to identify root causes of glove failures and the actions adequate to prevent recurrence. In this paper, root cause analysis was conducted for a cleanup breach case study to demonstrate the computerized root cause analysis process. Based on analysis results, effective recommendations were generated.

Hamilton Acute Pain Service Safety Study

2014 ◽  
Vol 120 (1) ◽  
pp. 97-109 ◽  
Author(s):  
James E. Paul ◽  
Norman Buckley ◽  
Richard F. McLean ◽  
Karen Antoni ◽  
David Musson ◽  
...  
Keyword(s):  
Acute Pain ◽  
Root Cause Analysis ◽  
Acute Pain Service ◽  
Patient Controlled Analgesia ◽  
Cause Analysis ◽  
Root Cause ◽  
Analysis Process ◽  
Severe Hypotension ◽  
Before And After ◽  
Address System

Abstract Background: Although intravenous patient-controlled analgesia opioids and epidural analgesia offer improved analgesia for postoperative patients treated on an acute pain service, these modalities also expose patients to some risk of serious morbidity and even mortality. Root cause analysis, a process for identifying the causal factor(s) that underlie an adverse event, has the potential to identify and address system issues and thereby decrease the chance of recurrence of these complications. Methods: This study was designed to compare the incidence of adverse events on an acute pain service in three hospitals, before and after the introduction of a formal root cause analysis process. The “before” cohort included all patients with pain from February 2002 to July 2007. The “after” cohort included all patients with pain from January 2009 to December 2009. Results: A total of 35,384 patients were tracked over the 7 yr of this study. The after cohort showed significant reductions in the overall event rate (1.47 vs. 2.35% or 1 in 68 vs. 1 in 42, the rate of respiratory depression (0.41 vs. 0.71%), the rate of severe hypotension (0.78 vs. 1.34%), and the rate of patient-controlled analgesia pump programming errors (0.0 vs. 0.08%). Associated with these results, the incidence of severe pain increased from 6.5 to 10.5%. To achieve these results, 26 unique recommendations were made of which 23 being completed, 1 in progress, and 2 not completed. Conclusions: Formal root cause analysis was associated with an improvement in the safety of patients on a pain service. The process was effective in giving credibility to recommendations, but addressing all the action plans proved difficult with available resources.

Words for the “Whys”

2012 ◽  
Author(s):  
Richard J. Ross
Keyword(s):  
Human Brain ◽  
Failure Analysis ◽  
State Of The Art ◽  
Intellectual Curiosity ◽  
Basic Tool ◽  
Cause Analysis ◽  
Root Cause ◽  
Analysis Process ◽  
Tools And Techniques ◽  
Attention To Detail

Abstract In an era where the complexity and cost of Failure Analysis tools and techniques is rapidly expanding, it is easy sometimes to lose sight of the basic tool and technique required for successful root-cause analysis. That technique is intellectual curiosity and the tool is the human brain. This paper will describe a simple methodology to insure that this tool and technique are properly engaged either concomitant with or in the absence of state-of-the-art instrumentation and computation. Two simple case studies will be used to illustrate where the Failure Analysis process can easily go awry without proper attention to detail, and, conversely, from too much attention to detail.

A Logical Problem Solving Process for High Via Resistance Root Cause Analysis

2008 ◽  
Author(s):  
K. Li ◽  
P. Liu ◽  
J. Teong ◽  
M. Lee ◽  
H. L. Yap
Keyword(s):  
Problem Solving ◽  
Failure Analysis ◽  
Failure Mechanism ◽  
High Resistance ◽  
Cause Analysis ◽  
Logical Problem ◽  
Root Cause ◽  
Analysis Process ◽  
Problem Solving Process

Abstract This paper presents a case study on via high resistance issue. A logical failure analysis process EDCA (Effect, Defect, Cause, and Action) is successfully applied to find out the failure mechanism, pinpoint the root cause and solve the problem. It sets up a very good example of how to do tough failure analysis in a controllable way.

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