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The worldwide price pressure has resulted in the construction industry moving into the low-bid environment. Construction professionals deliver construction as a commodity in the price based sector using minimum standards. This environment lacks information and inefficient. The Construction Industry Structure model identifies the price based environment as moving risk instead of minimizing risk, forcing contractors to leverage volume, use less experienced employees to maximize their profit, and awarding to contractors who deliver the lowest quality construction. The CIS model has been validated by the Federal Office of Procurement Policy direction to move to a performance contracting approach, results of the 350 tests of the Performance Information Procurement System (PIPS), and most recently by the increasing construction insurance rates which have tripled due to the increased risk in construction nonperformance. The CIS model proposes that the cost of insurance can be reduced by moving to a performance based environment.
Key Words: Performance Information, Minimizing Risk, Construction Industry Structure, Performance Information Procurement System (PIPS).
Introduction
The current construction industry is not as straightforward as the industry environment was 50 years ago. In the past, owners hired contractors they knew, contractors employed trained craftspeople, designers designed, and contractors constructed. If a contractor did not perform, they had a difficult time getting new work. Specifications were simpler. Means, methods, and material specifications were minimized.
The performance of construction can be defined in terms of the project being completed on time, completed within budget, and meeting the quality expectations of the owner. The worldwide competitive price pressure moved the construction industry from a performance-based sector to a price-based sector. The Construction Industry Structural model (Figure 1) was first developed in 1991 to identify the source of construction nonperformance. It also justified the need for a performance-based sector. The CIS model identified the price-based environment as forcing contractors to minimize quality and performance, increasing the need for management and inspection, and increasing the risk of nonperformance. The CIS model showed that when owners were faced with the increased price pressure, they moved to the price based sector instead of the performance-based sector. The authors suggest that the owners did not have the technology to compare performance and price, and therefore gravitated to the price-based environment.
III.
Negotiated Bid
|
II.
Performance Based
High
performance
Minimized
management
Professionals
design, contractors construct
Contractor
quality control
|
I.
Low-Bid
Commodity
Low price
Minimum
standards
High risk |
IV.
Unstable Market
|
Low |
High |
Value |
High |
Low |
Competition |
Figure 1: Construction Industry Structure
Industry stability is defined as (Kashiwagi, 1991):
By definition, stability infers sustainability. If one of the parties in the industry loses, that party is non sustainable and threatens the sustainability of the entire industry. Therefore, sustainability can be defined as a “win-win” relationship. The CIS identified the performance-based sector as the most stable environment (Figure 2) and that the construction industry is stabilized by moving to a performance based sector instead of a price based sector (Kashiwagi & Parmar & Savicky, 2003a).
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II.
Performance Based
Win-Win
Relationships
Stable
environment
Sustainable |
I.
Low-Bid
Adversarial
Win-lose
Unsustainable
environment |
|
Low |
High |
High |
Low |
Value |
Competition |
Figure 2: A Stable Industry
The CIS model by definition identifies that the cost of delivering construction in the price-based environment as higher than a performance-based environment (due to non-value added functions, poor quality, and the cost of rework). The price-based sector is an environment that does not use performance information. In this environment, construction professionals deliver construction as a commodity (Figure 3).
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II.
Performance Based
Non-Commodity
Information
based
“win-win”
|
I.
Low-Bid
Commodity
No
information
“win-loose” |
|
Low |
High |
High |
Competition |
Value |
Figure 3: Commodity vs. Non-Commodity
The professional uses minimum standards to describe the commodity. When competing to deliver a commodity, contractors do not get credited for higher quality or performance. The lowest acceptable quality option is favored and will be awarded the bid (Figure 4). This function increases the risk to the project since contractors are motivated to lower quality to save on costs. This is clearly understood by realizing that the owner’s minimum requirements are translated into maximum requirements by contractors and vendors (Figure 5). A price based environment forces manufacturers who have systems that are above the minimum standard to minimize their performance if it will make their products less expensive.
Contractor 1 |
Contractor 2 |
Contractor 3 |
Contractor 4 |
Low |
High |
Spec |
Contractor 2 |
Contractor 3 |
Spec |
Contractor 4 |
Contractor 1 |
High |
Low |
A
|
B
|
Performance / Price |
Performance / Price |
High |
High |
Low |
Low |
Risk |
Risk |
Figure 4: The Impact of Minimum Standards
Low |
High |
Spec |
Owners:
Perceive a minimum level of
quality |
Contractors:
View standard as a maximum level
of quality |
Low |
High |
Spec |
A |
B
|
Performance |
Performance |
Figure 5: “Win-Lose” Relationship
The CIS model identifies the performance-based environment as the most efficient environment. This environment uses performance information to minimize owner management, minimize inspection, and increase performance. In this environment the client hires the best construction professional to design and the best performing constructor to construct (Figure 6).
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II.
Performance Based
Use of
performance information
Minimized
management
Efficient
Best value |
I.
Low-Bid
No
performance information
Minimum
standards
High
management & inspection
Inefficient
Most
expensive
|
|
Low |
High |
High |
Low |
Value |
High |
Low |
Efficiency |
Competition |
Figure 6: An Efficient Environment
The Performance Information Procurement System
The Performance Information Procurement System (PIPS) was developed to form the performance-based environment. PIPS uses performance information and considers both performance and price in determining best value. The performance information creates a performance environment. Contractors must identify their own performance in relation to other contractors, provide best value, and continuously improve to stay competitive. Over 350 tests of PIPS have been performance resulting in the following (Kashiwagi & Savicky, 2003, Kashiwagi et la, 2003b):
The price-based environment identifies the construction professional as a critical requirement. The performance-based sector identifies the performing designer and constructor as critical factors. Management is only required when performance is not meeting expectations. A high performance environment minimizes management. The most efficient environment will provide the best performance and the best value (best performance for the lowest cost).
An information-based environment quickly identifies performance and risk of nonperformance. It forces performers to minimize risk instead of hiring low performers (who increase risk) that move the risk back to the client, building owner, or insurance company.
The CIS model identifies the following solutions to improving construction value and performance, and minimizing cost and risk:
The construction industry has proposed to increase performance and minimize the risk by more construction and project management. This solution is just moving the risk from one party to another. The performance in the low bid sector has shown that the risk has not been minimized (Egan,1998, Post, 1998, Post, 2001, CIB, 2000). To move to a performance-based environment, the owner must hire a performance-based contractor to minimize the risk.
Cost of Risk
The construction industry has been one of the most risky businesses in the United States in terms of business failures (Construction Chart Book, 2002). It has had difficulty providing construction on time, on budget, and meeting the quality expectations of building owners. Each year, thousands of companies fail, leaving behind billions of dollars in liabilities (SIO, 2003). Of the contractors who went out of business in 1997, 37% had been in business for over 10 years (Ames, 2002). Owners have attempted to minimize the risk of their loses by requiring that contractors carry specific types of bonding and insurance. Owners believe that moving the risk to the bonding and insurance companies will manage and minimize their risk.
Risk is defined as exposure to the chance of injury or loss (Websters, 1994). Although owners have successfully transferred the financial risk of failure to bonding and insurance companies, the owner’s risk (not on time, no contractor generated cost change orders, and meeting the owner’s expectations) has not been minimized. This is manifested by the increase of insurance and bond rates for contractors.
Insurance and Bond Rates
Surety loses over the years has been considerable. From 1990 to 1997, over 80,000 contractors failed, leaving behind unfinished projects with liabilities costing over $21 billion (Construction Chart Book, 2002. SIO, 2003). Losses have not faired any better in recent years. In 2000, the industry reported $1.6 billion in loses, and $2.7 billion in 2001. The ratio of losses to surety (bonding) premium jumped from 42% in 2000, to 82% in 2001 (Korman, 2002, Brown, 2002).
The substantial amount of loses has caused bonding and insurance companies to rethink the way they do business. Companies that have not gone out of business due to the failures are (Korman & Illia, 2003, Brown, 2002, Korman, 2001, Grenier, 2001, Wheeler, 2000):
1. Increasing the rates (bonding and insurance) they charge contractors
2. Requiring more personal guarantees
3. Canceling policies with certain contractors
4. Limiting coverage (listing exclusions)
5. Limiting the number of bonds that they issue
In the past, contractors that have good performance records were given lower rates (since the bonding and insurance companies risk is lower). However, the large financial loses has forced the bonding and insurance companies to raise their rates throughout the industry. Contractors that are able to get coverage are noticing large increases in the cost of insurance and bonding premiums. Performance bonds that usually ranged from 0.5%-3% of the contract have increased by 10%-30% (Brown, 2002, Krizan & Ichnniowski & Rubin, 2002). Other insurance premiums have increased 2-3 fold, and some have even jumped up by five fold at the high end (Korman, 2004, Grenier, 2001, Krizan, 2002). The increases in premiums will ultimately be passed along to the owners. Owners that believed they were managing their risk by moving the risk to insurance companies will pay for the risk in lower value construction.
Conclusion
As financial risk increases, insurance and bonding companies (that deal with the risk) are forced to increase rates. The increased insurance and bonding rates validate the CIS model concept that the price based sector is:
The impact of moving the risk is shown in (Table 1). The conclusion is that the price-based environment is not cost effective, sustainable, or stable.
Table 1
Unsustainable Price Based Environment
Low-Bid Process |
Owner |
Contractor |
Surety Company |
Owner requires the lowest price |
Win |
Lose |
- |
Contractor makes a very low profit |
Win |
Lose |
- |
Contractor lowers quality to bid low |
Lose |
Win |
- |
Contractor fails |
Lose |
Lose |
Lose |
Surety company pays for failures (so owner doesn’t have too) |
Win |
Lose |
Lose |
Surety company increases premiums to make up for loses (or cancels contractors) |
Lose |
Lose |
Win |
The CIS model identifies that moving to the performance based sector will minimize the risk and cost at the same time. This is accomplished because the high performance contractors have the following characteristics:
The Table below (Table 2) shows why the performance-based environment would be a sustainable environment.
Table 2
A Model of a Sustainable Risk Management Process
Performance-Based Process |
Owner |
Contractor |
Surety Company |
Owner hires the “best-value” |
Win |
Win |
- |
Contractor make a fair profit |
Win |
Win |
- |
Contractors use quality products and skilled labor |
Win |
Win |
- |
Contractor performs very high. Project is a success. |
Win |
Win |
Win |
Surety company does not pay for failures |
Win |
Win |
Win |
Surety company does not need to increase premiums to pay for failures (no cancellations) |
Win |
Win |
Win |
This paper directs owners to move to the performance-based sector. The CIS model states that when risk is transferred to the contractors, the contractors will minimize the risk. Those that cannot minimize the risk will self eliminate themselves. The insurance and bonding costs will be minimized as the high performance contractors are paid sufficiently to minimize the risk. When taking a holistic view, the first cost of delivering the construction will be minimized as the non-value added functions that are required in the price-based environment are minimized.
References
Ames, W. (2002). Secrets of a Surety. The Associated General Contractors (AGC) of America.
Brown, D. (2002, November/December). Surety Rates Head Upward: The Industry Regroups in the Wake of Aggressive Underwriting Practices. Grading & Excavation Contractor.
CIB (2000, May). The State of the Construction Industry Report. Construction Industry Board. (11), URL http://www.dti.gov.uk/construction/stats/soi/soi11.htm.
Construction Chart Book. (2002, September). The Construction Chart Book (3rd ed.). The U.S. Construction Industry and Its Workers.
Egan, J. (1998). Rethinking Construction: The Report of the Construction Task Force. Department of Trade and Industry, 1-37.
Grenier, D. (2001) Construction Insurance in 2001 and Beyond: A Wake-Up Call! C-Risk Inc. Consultants in Risk Management. URL www.c-risk.com/Articles/dlg_ins_wake-up_01.htm
Kashiwagi D. T., (1991). Development of a Performance Based Design/Procurement System for Nonstructural Facility Systems. Ph.D. Thesis, College of Engineering and Applied Sciences, Arizona State University.
Kashiwagi, D. & Savicky, J. (2003) The Value of Construction Using Transaction Costs. Joint International Symposium of CIB Working Commissions; Singapore, 413-422.
Kashiwagi D. T., & Parmar D., & Savicky J. (2003a). Lessons Learned on Performance Information for Developing Country. Joint International Symposium of CIB Working Commissions; Singapore, 558-566.
Kashiwagi D. T., & Parmar D., & Savicky J. (2003b). Case Study of the University of Hawaii of Performance Based Procurement. Joint International Symposium of CIB Working Commissions; Singapore, 395-402.
Korman, R. (2004, January 26) Rising Prices, Shrinking Policies Generate Waves of Uncertainty. Engineering News Record (ENR), 252 (4), 22-27.
Korman, R. & Illia T. (2003, August 4). Insurance: Policies for Defects Axing Key Elements. Engineering News Record (ENR), 251 (5), 12-13.
Korman, R. (2002, August 19) Bonding: Surety Loses Climb Sharply. Engineering News Record (ENR), 249 (8), 13.
Korman, R. (2001, October 29). Insurance: AIG Abandons Surety Segments. Engineering News Record (ENR), 247 (18), 15.
Krizan, W. G. & Ichnniowski T. & Rubin D. (2002, February 4). Insurance: Insurance Rates on a Wild Ride. Engineering News Record (ENR), 248 (4), 10-12.
Post, N. (2001, May 14). Bumpier Road to Finish Line. Engineering News Record (ENR), 246 (19), p. 56-63.
Post, N. (1998, May 11). Building Teams Get High Marks. Engineering News Record (ENR), 240 (19), p. 32-39.
SIO (2003, October 15). Surety Bonding: The Importance of Surety Bonds in Construction. MORGAN Insurance. URL http://www.sio.org/html/importance.html
SIO (2003). “Why do Contractors Fail? Surety Bonds Provide Prevention & Protection.” SIO Surety Information Office.
Surety Bonding: The Importance of Surety Bonds in Construction. (2003, October 15) MORGAN Insurance. URL http://www.sio.org/html/importance.html
Websters (1994). Webster’s Encyclopedic Unabridged Dictionary of the English Language. Dilithium Press, New York.
Wheeler, J. (2000, July). Industry Under Siege: Contractors Face Greater Cost, Less Choice for Insurance. The Construction Zone, URL http://www.nvconstructionzone.com/less%20choice%20for%20insurance.htm