Multi-Attribute Procurement Auctions Based on Cobb-Douglas Utility Function

In this paper, the problem of multi-attribute procurement auction of divisible goods is investigated, and an optimal mechanism of multi-attribute auction, which enables negotiation on several attributes in addition to the price of a divisible good, is designed. First, several important assumptions of multi-attribute procurement auctions of divisible goods are given, and the buyer's utility function and the supplier's utility function are defined. Then, a set of sufficient conditions for feasible multi-attribute auction mechanism are given. Based on these conditions, an optimal model of multi-attribute procurement auction whose goal is to maximize the buyer's expected utility, is established. By solving this model, the optimal allocation strategies are obtained. Third, the properties of the optimal multi-attribute auction are discussed. Finally, a multi-attribute auction example about the steam coal procurement is given to show how to implement the optimal multi-attribute auction mechanism.

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Analisa Pemilihan Moda Transportasi Umum Rute Tanjung Karang – Bandara Radin Inten II Dengan Stated Preference dan Uji Crame’s V

Borneo Engineering : Jurnal Teknik Sipil ◽

10.35334/be.v2i2.621 ◽

2018 ◽

Vol 2 (2) ◽

pp. 137

Author(s):

Muhammad Abi Berkah Nadi

Keyword(s):

Regression Analysis ◽

Utility Function ◽

Stated Preference ◽

Technical Analysis ◽

Chi Square ◽

Time Headway ◽

Independent Variable ◽

The Relationship ◽

Selection Of

Radin Inten II Airport is a national flight in Lampung Province. In this study using the technical analysis stated preference which is the approach by conveying the choice statement in the form of hypotheses to be assessed by the respondent. By using these techniques the researcher can fully control the hypothesized factors. To determine utility function for model forecasting in fulfilling request of traveler is used regression analysis with SPSS program. The analysis results obtained that the passengers of the dominant airport in the selection of modes of cost attributes than on other attributes. From the result of regression analysis, the influence of independent variable to the highest dependent variable is when the five attributes are used together with the R square value of 8.8%. The relationship between cost, time, headway, time acces and service with the selection of modes, the provision that states whether or not there is a decision. The significance of α = 0.05 with chi-square. And the result of Crame's V test average of 0.298 is around the middle, then the relationship is moderate enough.

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