Industrialization of Electrical Contracting · Industrialization of Electrical Contracting Supply...
Transcript of Industrialization of Electrical Contracting · Industrialization of Electrical Contracting Supply...
Industrialization of Electrical Contracting
Supply Chain and Logistics Management
Final Report Presentation
Santa Clara University School of Engineering Department of Civil Engineering
Hisham Said, Ph.D.
Assistant Professor
Santa Clara University
Santa Clara, CA
ELECTRI Council Meeting
San Diego, CA, January 22, 2015
Background
Background Research Objectives
Data Collection
Best Practices
Raw Material
Electrical
Contractor
Distributer
/Vendor
Components
Manufacturer
Supply House
(Retail)Prefabrication
Electrical
Fabricator
In-house
Prefabrication
Electrical Contracting Supply Chain Industry
Economic
Factors
Electricians
Union Relations
General
Contractor
Architect /
Engineer
Project
Owner
Construction
Information
How to “industrialize” the Electrical Contracting Business?
Recipe = Prefabrication + Industrialized Supply Chain
Prefabrication is not a one solution that fits all!
Prefabrication Determinants
2 Future Research
Improvement Opportunities
Research Objectives and Methodology
Data Collection
Interviews - Site Visits
Case Studies – Questionnaire
– Economic Data
Industrialization Practices
and Opportunities
1) Best Practices
2) Opportunities for
Improvement
Analysis of Prefabrication
Determinants
1) Variables Processing and
Selection
2) Logistics Regression Model
Development/Validation
Objective (1)
Industrialization
Best Practices
Objective (3)
Identify
Industry-related
Determinants
Objective (2)
Identify
Firm-related
Determinants
Investigate the best practices and
determinants of electrical
contracting industrialization.
Prefabrication can be used
as a measureable indicator of
the industrialization level of
electrical construction firms.
3 Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
4
Data Collection
1) Semi-Structured Interviews (phone and in-person)
o 7 electrical contractors
o 1 vendor
o 3 manufacturers
o 1 NECA Regional Director
2) Site Visits
o 2 prefabrication facilities
o 1 vendor distribution facility
3) Case Studies
o Vendor partnerships,
o Specification sheets of electrical assemblies/components
o Construction Projects
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
5
Data Collection
4) Online Questionnaire
o 78 responses.
o 32 states
a) Geographic Distribution of
Respondents
<$5M(30%)
$5M –$10M(16%)
$10 M–$50M(22%)
$50M –$100M(14%)
$100M –$200M(12%)
>$200M(6%)
b) Work Volumes of
Respondents
c) Prefabrication volumes
of Respondents
N/A(46%)
< 5%(23%)
5% - 10%(18%)
10% -20%(8%)
20% -40%(2%)
> 40%(3%)
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
6
Data Collection
4) Online Questionnaire
o 78 responses.
o 32 states
a) Geographic Distribution of
Respondents
Representative
Sample!
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
7
Data Collection
5) Industry Metropolitan Economic Data
o Unemployment rate
o EC’s annual payroll
o Number of EC companies
o Average number of employees per EC
o Number of Electricians
o Average hourly wage of electricians
EC = Electrical Contractor
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
8
Best Practices
Operational and Design
Requirements
1) Building Information Modeling (BIM)
2) Labeling and Packaging
3) Modularization & Standardization
4) Prefabrication Scope Identification
5) Integrated Project Delivery
6) Capacity Startup & Expansion
Vendor Role
1) Vendor Partnership
2) Material Management
3) Kitting and Packaging
Manufacturer Role
1) New Products Training
2) Customized Cataloged
Prefab Assemblies
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
9
BP – BIM
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
20%
54% 55%63%
75%
0%
20%
40%
60%
80%
100%
Never Sometimes Frequent VeryFrequent
Mostprojects
% o
f re
po
nd
en
ts w
ith
B
IM
Frequency of Vendor's Early Involvement in Projects
39%
56%
80% 80%
0%
20%
40%
60%
80%
100%
0 1 2 3% o
f re
po
nd
en
ts w
ith
B
IM
Number of Prefab Assemblies from Manufacturers
(a)
(b)
0%
20%
40%
60%
80%
100%
% o
f re
po
nd
en
ts
Annual Volume of Work
BIM
Prefab
Breakdown of EC firms with BIM
capability
In-house
Engineering
(86%)
No In-house
Engineering
(14%)
EC Work Volume Requirement
for BIM and Prefab
(b)
(a)
Increased Supply Chain
Collaborations
Increased Prefabrication
Volumes
10
BP – Labeling/Packaging
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Room-based
Packaging
Package Label
Getting the “LEGO” pieces together!
A lot of potential for automation!
11
BP – Modularization/Standardization
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
MC Slip-style
couplings
Snap-on-
stud
support for
MC and
BoxesDevice
Box
MC
Cable
Stud
Wall
Snap
MC-box
connector
Telescoping
Box
Mounting
Bracket
Box with
Adjustable
Depth Mud
Rings
12
BP – Prefab Scope Identification
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Projects with more
Prefabrication
Flexibility
1) Offices (3.73)
2) Commercial (3.72)
3) Education (3.33)
4) Healthcare (3.2)
5) Residential (2.46)
13
BP – Integrated Project Delivery
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Design-Bid-Build
(22%)
Design-Build(37%)
CM-at-Risk(1%)
No difference, all PDS's
are the same(40%)
Respondents’ Evaluation of the “Most
Prefabrication-Friendly Project
Delivery Systems”
(a)
5%
18%
0%
27%
50%
0%
10%
20%
30%
40%
50%
60%
Veryinflexible
Inflexible Noeffect
Flexible Veryflexible
% o
f R
esp
on
den
ts
Specs Writers Flexibility to Prefabrication(b)
Integrated Project Delivery Can Help,
but Not a Must!
Code & Specs flexibility to
prefabrication
14
BP – Capacity Startup & Expansion
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Phase Strategies
Experimenting
1) Subcontracting Assemblies to External Electrical Fabricators 2) Outsourcing Preassembly Tasks to Vendors 3) Buying Cataloged Preassemblies from Manufacturers
Setup
1) Invest in a small prefabrication space that is in central location to the main office and project locations.
2) Invest in basic prefabrication tools and machines (Tables, Wire cutting/stripping machine, Wire spool rack, Hand Tools, Small Material stacking)
3) Increase the vendor’s involvement
Expansion
1) Invest in a large prefabrication space 2) Invest in advanced prefabrication machines and tools (Cable pulling
tables, Wire spooling machine, Conduit benders, Threading machine, Welding shop, Large storage systems)
3) Attain in-house BIM services 4) Implement Lean principles 5) Increase the level of supply chain collaborations with vendors and
manufacturers
15
BP – Capacity Startup & Expansion
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Assembly WorkbenchesCourtesy of ERMCO E.
Small Storage BinsCourtesy of Sprig E.
Wire Spool RacksCourtesy of Delucchi E.
Hand ToolsCourtesy of ERMCO E.
Wire Cutting and
Stripping MachineCourtesy of ERMCO E.
16
BP – Capacity Startup & Expansion
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Pipe/Conduit Bending MachineCourtesy of Delucchi E.
Pipe
Threading
MachineCourtesy of
Delucchi E.
Welding
ShopCourtesy of
ERMCO E.
Large Storage SystemsCourtesy of Sprig E.
150+ ft Worktable for
Data Cables PullingCourtesy of Sprig E.
Wire
Spooling
MachineCourtesy of
Sprig E.
17
BP – Vendor Partnership
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
31%
39%
54%
0%
10%
20%
30%
40%
50%
60%
Local (1state)
Regional(4 states)
National(10 states)
% o
f re
po
nd
en
ts w
ith
Ve
nd
or
Pa
rtn
ers
hip
Vendor Size(a)
0%
20%
40%
60%
80%
100%
% o
f re
po
nd
en
tsAnnual Volume of Work
Vendor Partnership Prefab
(b)
Partnership can happen with
either small OR big vendors
Vendor Partnership can
help to manage high
prefabrication volumes
18
BP – Material Management Agreements
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Assign material logistics management
responsibilities to a distributor.
Agreement items:
1) Furnishing a warehouse to store the material close to the
congested jobsite.
2) Receiving and logging deliveries from all vendors.
3) Distributing material pallets to designated floors and
rooms from the warehouse.
4) Pulling material returns and maintaining the organization
of both the warehouse and workspace.
19
BP – Kitting and Packaging
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Kitting preassemblies and area-based
packaging
Out of the questionnaire respondents:
o 45% use the area-based packaging service
o 14% use the preassemblies kitting service
20
BP – Training & Advocacy
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
21
BP – Customized Cataloged Prefab
EC Vendor Manuf
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
20% of the questionnaire respondents procure one or more
prefabricated assemblies directly from manufacturers.
Online Configurators
22
Improvement Opportunities
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Union and Contractors Win-Win Industrialized Relations
EC’s positive attitude
toward prefabrication v.s.
IBEW Resistance of
Prefab & Outsourcing
23
Improvement Opportunities
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Increasing the “Lean-ness” of Prefab Operations
24
Prefabrication Determinants
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Industry-Related Variables
1 Metropolitan Unemployment
2 Annual Payroll of Electrical
Contracting Firms
3 Number of Electrical Contracting
Firms
4 Average Number of Employees
per Firm
5 Electricians Employment
6 Electricians Average Hourly Wage
7 Union Acceptance of
Prefabrication
8 Union Acceptance of Outsourcing
Firm-Related Variables
1 Volume of Firms Annual Work
2 Business Territory Coverage
Distance
3 Engineering/Design Services
4 BIM capabilities
5 Level of Lean Operations
6 Vendor Partnership Existence
7 Strength of Vendor Relationship
8 Existence of Material Blanket Prices
9 Vendor Size
10 Vendor Early Involvement
11 Strength of Manufacturer Relation
12 Flexibility of Electrical Specifications
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Prefabrication Determinants
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
Category Determinant Significance
Level
Industry-
related
Economic Growth (Unemployment Rate) Medium
Industry Competition (EC’s avg. size in the
metropolitan area)
Medium
Labor Cost Rate Medium
Union Acceptance to prefab outsourcing. Strong
Firm-
related
BIM (also used as firm-size indicator) Very Strong
Vendor Relation and Partnership Strong
Logistic Regression Model – can help is assessing
the feasibility of Prefabrication Operations for EC’s
26
Suggested Future Research Priorities
Background Research Objectives
Data Collection
Best Practices
Prefabrication Determinants
Future Research
Improvement Opportunities
IBEW-EC Prefab
Arrangements
Prefabrication
Feasibility Map
27
Thanks to the Taskforce!
Andrew Lawler
Lutron
Brad Weir
Kelso-Burnett
Buck Ross
Chapel Electric
Clinton Beall
B&D Industries
Don Campbell
NECA Northern CA
Greg Gossett
ERMCO, Inc.
James Feeney
Thomas & Betts
John Wright
Alterman
Mike Jurewicz
Sprig Electric
Steve Killius
Legrand
Tony Mann
E-J Electric
Industrialization of Electrical Contracting
Supply Chain and Logistics Management
Final Report Presentation
Santa Clara University School of Engineering Department of Civil Engineering
Hisham Said, Ph.D.
Assistant Professor
Santa Clara University
Santa Clara, CA
ELECTRI Council Meeting
San Diego, CA, January 22, 2015