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ANALYSIS OF THE MAINTENANCE WORK ORDER DATA IN EDUCATIONAL FACILITIES

Deniz Besiktepe Ph.D. Student¹ , Dr.Mehmet E.Ozbek, Ph.D.² and Dr.Rebecca A.Atadero Ph.D.¹

denizbk@colostate.edu

¹ Department of Civil & Environmental Engineering, ² Department of Construction Management

 Aging buildings

 Insufficient funding of maintenance needs

 Constraints in condition assessment process

 Lack of visual inspection as part of the condition assessment process

 Need for maximizing facility performance, budget allocation and minimizing the negative impacts of failures

METHODOLOGY AND

RESULTS

PROBLEM STATEMENT

BACKGROUND

THE MAIN FOCUS OF THE ANALYSIS

Revealing any possible relations between:

 MAINTENANCE ACTIVITES and BUILDING AGES  MAINTENANCE ACTIVITES and BUILDING TYPES

The analysis of this study provides a preliminary understanding of these relations.

The distribution of work orders for the maintenance activities was relatively estimated for each individual building using below equation.

Dwb: The distribution of work orders for each maintenance activity at building i

Nw: The total number of work orders for each maintenance activity

Nwb: The number of work orders for each maintenance activity at building i

MAINTENANCE WORK ORDERS

Includes information of the maintenance activities which may lead a preliminary understanding of

buildings conditions.

MAINTENANCE ACTIVITIES

Architectural, carpentry, electrical, HVAC, mechanical, plumbing, structural, etc.

LACK OF USE OF THE MAINTENANCE WORK ORDER DATA IN THE CONDITION ASSESSMENT PROCESS

MAJORITY OF WORK ORDERS

 ELECTRICAL

 (Heating, Ventilation, and Air Conditioning) HVAC

 PLUMBING

H L Z H L Z H L Z H L Z H L Z H L Z

Electrical 36 73 47 53 43 32 49 62 48 51 55 46 38 44 - 53 108 64 HVAC 37 77 44 50 47 34 28 63 52 51 51 53 38 47 - 51 107 104 Plumbing 40 76 45 51 45 32 79 54 44 27 51 55 45 48 - 41 109 141

H = Higher # of Work Orders, L = Lower # of Work Orders, Z = Zero # of Work Orders

School

District #1 Private #2 Maintenance

Activity Type

State #1 State #2 State #3 Private #1

Higher(H): five percent and greater of total work orders (>5%) Lower(L): one percent and less of total work orders (< 1%).

Zero (Z): zero work orders (= 0)

MAINTENANCE ACTIVITES and BUILDING AGES

DATA COLLECTION

The analysis does not show that the older buildings receive a higher number of work orders as might be expected.

The average age of the buildings in each cluster is more than the average age of 34.2 years provided on the Sightlines report (2017).

MAINTENANCE ACTIVITES and BUILDING TYPES

Classroom, office and research building types receive a higher number of work orders.

CONCLUSIONS

 THE HIGHEST NUMBER OF WORK ORDERS ARE:

 ELECTRICAL  HVAC

 PLUMBING

 THE STUDY DOES NOT REVEAL A SPECIFIC RELATION

BETWEEN:

 MAINTENANCE ACTIVITES and BUILDING AGES  MAINTENANCE ACTIVITES and BUILDING TYPES

 THE STUDY PROVIDES A PRELIMINARY

UNDERSTANDING OF:

 THE FREQUENT MAINTENANCE ACTIVITIES IN THE

DATA SETS WITH THEIR RELATIONS OF BUILDING AGE AND BUILDING TYPE.

 THE DATA SETS NEED THE SUBCATEGORY* OF THE

MAINTENANCE ACTIVITIES THAT:

 MAY INCREASE THE EFFECTIVE USE OF WORK ORDER DATA IN THE CONDITION ASSESSMENT PROCESS.

*Subcategories of the electrical maintenance activities can be light bulb changing, electrical panel issues,

outlet/switch issues, etc.

C O R OT C O R OT C O R OT C O R OT C O R OT C O R OT Electrical 0 33 33 34 100 0 0 0 7 21 12 60 7 9 1 83 0 14 5 81 0 1 0 99 HVAC 33 33 0 34 100 0 0 0 12 30 15 43 4 15 3 78 1 9 6 84 0 0 0 100 Plumbing 25 0 25 50 0 0 100 0 8 26 11 55 8 9 3 80 1 7 10 82 0 0 0 100

C = Classroom, O= Office, R = Research, OT= Others

Maintenance Activity Type

H L Z

State #2 (%) Private #1 (%) State #2 (%) Private #1 (%) State #2 (%) Private #1 (%)

Institutions State GSF of Buildings Total # of Buildings Average Age of Buildings Time Interval of Work Orders Work Order Management Software

State #1 Colorado 4,076,953 60 63 2009-2018 TMA State #2 Colorado 12,361,537 748 43 2008-2017 FAMIS State #3 Colorado 8,186,982 409 67 2013-2017 FAMIS Private #1 Colorado 3,567,470 74 51 2012-2018 TMA

School District #1 Colorado 3,979,365 70 43 2011-2017 SchoolDude Private #2 Connecticut 2,792,464 310 105 2013-2017 SchoolDude

Average Age H L Z

<40 33% 0% 20%

40 - 60 61% 56% 60%

>60 6% 44% 20%

Sightlines, (2017). The State Of Facilities in Higher Education: 2017 Benchmarks, Best Practices, & Trends Annual Sightlines Report. Sightlines a Gordian Company. Retrieved from https://www.sightlines.com/insight/2017-state-of-facilities-in-higher-education/

References

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