An algorithm to prioritize welding quality deterioration factors: A case study from a piping component fabrication process

Purpose – The purpose of this paper is to present and implement an algorithm to prioritize welding quality deterioration factors for improving welding personnel performance. A case study is carried out in a piping components fabrication process which supplies these components to oil and gas production and processing facilities on the Norwegian continental shelf (NCS).Design/methodology/approach – The quality deterioration factors' prioritization is carried out using statistical methods in conjunction with the data recorded in the welding inspection database (WIDB) of the case study company. Data cleaning and rearrangements were performed to reflect final objective. Based on the welding procedure specifications (WPSs) and quality imperfection groups classified in NS‐EN ISO 6520‐1, the analysis is performed to prioritize the welding quality deterioration factors.Findings – Based on the WPSs and quality imperfection groups classified in NS‐EN ISO 6520‐1, it is possible to prioritize the welding quality deter...

[1]  Wallace J. Hopp,et al.  Factory physics : foundations of manufacturing management , 1996 .

[2]  N. T. Burgess Quality assurance of welded construction , 1983 .

[3]  Process control and automation developments in welding , 2009 .

[4]  R Halmshaw,et al.  Introduction to the Non-Destructive Testing of Welded Joints , 1997 .

[5]  M. Gordon,et al.  PUBLICATION RECORDS AND TENURE DECISIONS IN THE FIELD OF STRATEGIC MANAGEMENT , 1996 .

[6]  R. Grant Toward a Knowledge-Based Theory of the Firm,” Strategic Management Journal (17), pp. , 1996 .

[7]  J. S. Son,et al.  Development of a mathematical model to study on variation of shielding gas in GTA welding , 2006 .

[8]  R. L. Shrivastava,et al.  Six Sigma - A New Direction to Quality and Productivity Management , 2008 .

[9]  R. M. Chandima Ratnayake and K. T. Vik,et al.  Quality Surveillance Methodology for Pipe Welding: An Industrial Case Study , 2012 .

[10]  H. C. Cotton Welded Steel for Offshore Construction , 1979 .

[11]  P. L. Cook Quality control systems for pipeline welding -a model and quantitative analysis; Part I: quality control system design and operation , 1985 .

[12]  Thong Ngee Goh,et al.  Improving on the six sigma paradigm , 2004 .

[13]  Glenn Ballard,et al.  Making Prefabrication Lean , 2004 .

[14]  Charles Egbu,et al.  Construction as a Knowledge‐Based Industry , 2008 .

[15]  Douglas C. Montgomery,et al.  Research Issues and Ideas in Statistical Process Control , 1999 .

[16]  Ken Thomas,et al.  KNOWLEDGE MANAGEMENT IN IRISH CONSTRUCTION: THE ROLE OF CPDACCREDITATION , 2006 .

[17]  Ani Raiden,et al.  Human Resource Development in Construction Organisations: An Example of a "Chaordic" Learning Organisation?. , 2006 .

[18]  Duane K. Miller,et al.  Ensuring Weld Quality in Structural Applications , Part I of , 1998 .

[19]  Lloyd S. Nelson,et al.  Control Charts: Rational Subgroups and Effective Applications , 1988 .

[20]  Thomas T. Heaton,et al.  Some Modern Methods of Welding , 1914 .

[21]  Richard W. Richardson,et al.  Statistical process control applied to gas metal arc welding , 1996 .

[22]  Mohammad Hosesein Hajikaimi,et al.  A New Approach to Welders' Performance for Increasing Steel Structures' Safety via Talent Management , 2009, 2009 Third UKSim European Symposium on Computer Modeling and Simulation.

[23]  A. D. Brightmore,et al.  Moving weld management from the desk to the desktop : Computer technology in welding , 2000 .

[24]  Kuen-Suan Chen,et al.  Quantity analysis for welding performance in manufacturing processes , 2004 .

[25]  Hua Wang,et al.  Resistance spot welding processing monitoring based on electrode displacement curve using moving range chart , 2009 .

[26]  Feng,et al.  Welding process developments and future trends , 1986 .

[27]  J. Antony,et al.  Six sigma in small‐ and medium‐sized UK manufacturing enterprises: Some empirical observations , 2005 .