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Forecasting and Minimizing Field Rework

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Presentation on theme: "Forecasting and Minimizing Field Rework"— Presentation transcript:

1 Forecasting and Minimizing Field Rework
Effects of Field Rework Research Team Jim Atkinson U.S. Steel Effects of Field Rework Research Team 2000 CII Annual Conference Nashville, Tennessee

2 Field Rework Research Team RT-153
Richard Calhoun Phillips Petroleum Co., Chairman Jim Atkinson U.S. Steel Andrew Beal Air Products & Chemicals Joe Beffa Black & Veatch Tom Falso Eichleay Francis House Kellogg Brown & Root David Rogge Oregon State University Phill Stassi Jacobs Engineering Group, Inc. William Wright Chemtex International

3 RT-153 Objectives Identify methods being used to track rework.
Identify the major causes of rework. Identify practices that most effectively minimize field rework. Develop a tool (Field Rework Index, FRI) that will foretell the degree of field rework.

4 Definition Field Rework is: Field Rework is not:
Total direct cost of rework in the field regardless of initiating cause or source. Field Rework is not: Change orders (not affecting previously installed work) Off-site fabricator errors Off-site modular fabrication errors

5 Calculation % Field Rework =
Total direct cost of rework performed in field Total field construction phase cost

6 How BIG is the Problem? CII Survey Data CII Research Summary 10-2
12% rework on nine industrial projects 1997 Benchmarking & Metrics Data Report 3.4% for 19 industrial projects CII Effects of Field Rework Research Team 5.8% for 78 industrial projects Ranges between 0% and 27%

7 Cost Growth vs. Field Rework
>4% Rework  Avg 8% Cost Growth <4% Rework  Avg –1.5% Cost Growth

8 How Is Field Rework Tracked? Objective 1
CII Quality Performance Management System (QPMS) Adaptations of QPMS elements Company internal systems Research Report will present a simplified system for field rework tracking only.

9 Rework Causes and Cures Objectives 2 & 3
Analysis shows strongest relationships between: Engineering rework and field rework Owner organization alignment and field rework Conclusion: Improve upstream processes (pre-project planning and engineering) and downstream processes (construction) will improve. Not Rocket Science

10 Predicting Field Rework Objective 4
Project team answers 16 questions. Scores are tabulated and multiplied by a factor and summed. A1(X1) + A2(X2) … A13(X13) + Constant = FRI An = Factor Xn = Team score for a question

11 What Are the Questions? Three categories of questions:
Team planning and organization Information availability Staffing or schedule constraints

12 Team Planning and Organization
Alignment within owner organization Owner’s attitude on scope change Degree of use of project execution planning Change of design discipline leaders Commitment to using constructability by design and construction contractors

13 Information Availability
Design firm’s qualifications Field verification of conditions by engineering Quality of interdisciplinary design coordination Availability of supplier information Level of design rework

14 Staffing or Schedule Constraints
Compression of design schedule Design overtime Quality of supplier pre-qualification Availability of skilled craftworkers Construction contractor shift work Construction contractor overtime

15 When Will the FRI Be Published?
That depends on you... FRI database needs more projects! Confidence in predictors of rework Improve accuracy and reliability Will not be released unless “statistical robustness” is demonstrated.

16 What Do I Do to Help? Contact Dr. David Rogge:
Dept. of Civil Engineering Oregon State University Apperson Hall, Rm. 111 Corvallis, OR Phone: (541) , Fax: (541) Download copies of the FRI - EZ data collection form, complete, and return to Dr. Rogge.


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