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Research on Bidding Methods of National Grid Construction Projects Based on Friedman Model

2013-12-29 00:00:00YANGXinglin;XUEHefeng
International Business and Management 2013年2期

[a] Jiangsu University of Science and Technology, Zhenjiang, 212003, China.

*Corresponding author.

Received 4 March 2013; accepted 8 May 2013

Abstract

The most competitive tender offer is the key to seeking survival and development in the furious market competition for the bidders in the process of bidding. How to make a appropriate quotation decision-making is the key to tender offer for the bidders. The paper starts from theoretical research and empirical analysis, after studying the existing domestic and international tender offer decision-making model, considering current market conditions, the tender offer decision-making model, Friedman model were proposed which is suitable for the tender offer of the State Grid Corporation Power Transmission Project. An engineering case was applied to prove the validity and practicality of this model.

Key words: Friedman model; State grid tender; Tender offer decision-making; The probability of winning bid

INTRODUCTION

Tender offer decision-making is an activity that the bidders do a series of calculations, assessment and analysis to bid project, then determine the compliance costs, formulate suitable bidding strategy for projects according to the evaluation principles of tender documents, to ensure profit maximization protection under the premise of winning bid (Manns Haimus, 2000). Right bid strategies and techniques is critical to project quotation, directly influence the success of a project, the existing bid decision-making model includes: bid decision-making model based on game theory (PEI JIAN, 2011), bid decision-making model based on probability theory(Friedman, 1956), bid decision-making model based on Analytic Hierarchy Process and utility theory (YONG, ZHI, MI, SU, 2006), bid decision-making model based on fuzzy mathematics research (GUO, WEI, JIN, 2012), bid decision-making model based on artificial intelligence(HONG YI, 2010).

This paper does a lot of research on the existing tender offer model at home and abroad, proposes a new tender offer model called Friedman model combined with the tender offer market environment of State Grid Corporation Power Transmission Project. Then studies the feasibility in bidding offer of State Grid Corporation Power Transmission Project, and demonstrates the guiding role of this bid model to tender offer through a case, which has a certain reference value.

1. BIDDING FEATURES OF STATE GRID PROJECT

State Grid Corporation of a large central enterprise in China, bear the power transmission and distribution business of 26 provinces. Municipalities directly under the Central Government. In January 2005, the headquarters of State Grid Corporation implemented centralized scale bidding to 330kV and above equipment and materials of power transmission project. In 2006, the master equipment and materials of 220kV power transmission project were also included in the scope of the tender, and established corporate headquarters and provincial levels tender system. In 2011, E-commerce Platform (ECP) successfully put into operation in centralized scale bidding.

Overall, the centralized scale bidding of State Grid Corporation has the characteristics of sound management system, professional tendering agency; unified tender document templates, rigorous supplier qualification audit, modern institutionalized bidding means, and highlight the advantages of modern supply chain management system. It is under such circumstances that this paper proposes Friedman tender offer model to adapt to the tender offer decision-making mode under the new system.

2. FRIEDMAN MODEL

In 1956, Friedman proposed project tender offer decisionmaking model called Friedman model (Friedman, 1956). The model can calculate the winning bid probability of a project by every single competitor’s winning rate. The model assumes that the bidders’ winning rate was independent with each other, and it’s used to calculate the winning rate for all competitors. Friedman aims to draw the maximum expected profit value of bidders by studying specific winning bid probability of Optimum Solution, and quotes as the optimal tender offer.

2.1 Basic Assumptions

Formulating the basic ideas of Friedman model correctly needs to establish the following key assumptions:

(1) Know the number of project participants.

(2) The cost budget of the tender offer can be known according to the tender documents and enterprise overview.

(3) The past quoted price of each competitor can be composed of a random sample of the distribution.

(4) Competitors’ offer procedures and principles are relatively stable.

(5) Competitors’ former biding information of projects has statistics.

(6) The goal of bidders is the maximum profit in the premise of winning bid.

(7) Independent statistics of all competitors’contract quotation.

2.2 Decision-Making Step

The budget cost of project quotation can be calculated based on the amount of design engineering, technical requirements and management status of contractor and it is usually determined. While the pre-tender has variability and subjectivity because of the different strategies and methods. Pre-tender is inversely proportional to winning bid rate, and directly proportional to profit margin. The higher the pretender, the smaller the winning bid possibility, and profit is high after winning bid, and vice versa. The tender offer of the maximum expected profit can be calculated by the ratio of pre-tender to budget cost. Specific decision-making steps are as follows (Friedman, 1956):

(1) Collect and analyze the tender offer in the past distribution of competitors often encountered.

(2) Calculate different competitors and the contractor to the project budget cost ratio for the same project.

(3) The ratio times of different competitors are displayed by histogram, and empirical probability beating competitors is obtained by distribution graph.

(4) This step is divided into two cases.

A. The past competitors better understood

In view of this situation, directly draw histogram and frequency distribution curve formula of various competitors through Friedman model. The formula draws the probability of the contractor beating the known competitors by calculating the tender offer probability of the known competitors in the past.

3. CASE STUDY ON TENDER OFFER OF GRID CONSTRUCTION PROJECT

e 3.1 Project Case Profile

Southwest State Grid’s 110KV substation need to purchase electrical equipment for a new construction project, so State Grid Corporation establishes supplier management system with company headquarters and provincial levels, regularly organizes research and evaluation work, establish the supplier information database. Company A and B, C, D passed supplier qualification auditing of the power station’s scaled project, and they can encounter in the annual bid State Grid Corporation organizes.

3.2 Standard Price of Bid Evaluation Calculation and Criteria for Bid Evaluation

Standard price of bid evaluation calculation and criteria for bid evaluation adopt limited interval floating downward average a time. The calculation process of this method is as follows:

(1) Calculation tender price’s arithmetic mean A1 of M detailed assessment bidders; (M is the number of bidders entering the detailed assessment).

(2) If the deviation between tender price and the arithmetic mean A1 is over interval [b, c], the quoted price of the bidder scores zero. By calculating tender price’s arithmetic mean A1’s floating downward proportion derives A2 as the standard price.

(3) Price score = 100-100 × n × | total bid evaluation price of the bidders - Standard price | / Standard price.

Wherein, when the total bid evaluation price of the bidders >=Standard price, n = n1; when the total bid evaluation price of the bidders

3.3 The Calculation Based on the Friedman Model There are four finalists of this tender, they are all qualified supplier of State Grid Corporation. All previous quotations for all companies participating in the tender can be found through centralized bidding and bid opening record. According to State Grid evaluation methods, calculate the lowest or second lowest quotation in all bidders’ offer probability theory and statistics, commercial quotation points may be higher. According with the quotation decision-making process of Friedman model, company A is familiar with the previous tender offer of its competitors, company B, C, D.

First, calculate the ratio of the three known competitors’ tender offer and company A to the same project budget costs based on the sample values of the past bidding statistics.

Divide the quotation ratio of company B in table 3-2 into several groups by 0.1 differentials; calculate occurrence number of quotation ratio in different groups, and the corresponding frequency. Draw the relationship between the probabilities defeated by company A with return ratio, which is shown as Table 3.

According to the distribution histogram, we can obtain cumulative number distribution curve as shown in Figure 2, the curve represents the relationship between winning bid probability and gross margin when there are a single competitor.

And so on, we can get quotation ratio’s frequency number and frequency of Company C, D, the relationship between the probability defeated by company A and return rate (Table 4 and Table 5) the frequency distribution histograms of quotation ratio (Figure 3, Figure 5) and the cumulative frequency distribution curves (Figure 4, Figure 6).

PA (f) is the probability of Company A beating all three competitors with different return rate, it can be calculated by Equation 3-1:

PA ( f ) = PB ( f ) · PC ( f ) · PD ( f ) (3-1)

The company’s expected profit is calculated by formula 3-2:

EA ( P ) = C · F ·PA ( f ) (3-2)

Wherein, C is Company A’s corresponding estimated project budget cost. Calculate the best return rate f of the maximizing expected profit.

It can be drawn according to Table 3-6 that, When the return rate f = 20%, profits of 490,400 Yuan is the maximum expected profit. Therefore, according to Friedman model, we suggest company A adopt the tender offer for 20% return rate. The final quotation of Company A is:

B = 245.2 (l + f) = 245.2 (l +20%) = 294.24 million Yuan

The final result of the bidding for the project is as shown in Table 7.

The result of bid opening shows that the tender offer of company A scores the highest, but together the quotation is more conservative, price has room to rise. If it adopts the quotation for 2942400 Yuan Friedman model analyzing, it will reflect profit maximization in the premise of the highest score. Friedman quotation model plays a role of practical guidance to centralized bidding projects like National Grid, and is worth adopting in the offer decision-making analysis.

CONCLUSION Qualified suppliers of State Grid are increasing year by year, grid equipment suppliers has been quite intense competition. In the context of the increasingly bid manufacturers, the profit margin decreased year by year, as electrical companies, only full sales can guarantee profits. And then can survive and develop in a competitive market environment.

Friedman model is a tender offer model that adapt to the modern supply chain management system. It has important guiding significance to use skillfully for quantitative analysis of bidding strategy. This paper researches and analyzes Friedman model combining with tender offer of State Grid Corporation Power Transmission Project. This paper verifies the model’s objectivity and accuracy to the tender offer strategies through an engineering example, and achieves satisfactory results.

REFERENCES

A. K. Manns K. M. AL-Haimus (2000). Hstimating Using Cost Significant Global Models. Construction Management and Hconomics, (18), 575-585.

Friedman, L. (1956). A Competitive Bidding Strategy. Operation Research, 82(4), 104-112.

Guo P. J., Wei D. W., Jin A. (2012). Optimal Price Decision of Bidding Based on Prospect Theory. Journal of WUT(Information Management Engineering), 34(3), 353-356.

Hong B. L., Yi L. (2010). Fare Prediction Project Biding Risk Based on BP Neural Network. China Market, (45), 575-585.

Pei, L. D., Jian, X. Y. (2011). Strategic Analysis of Competition in Inviting and Taking Bidding. Mathematics in Practice and Theory, 41(12), 94-99.

Yong H. Y., Zhi H. X., Mi Y. S., Su Y. L. (2006). The AHPBased Model on Bidding Strategy Decision Making for BOT Projects. Journal of Wuhan University of Technology, 28(9), 135-137.

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