Study on Cost Decision Model Based on BIM and AHP

2014 ◽  
Vol 584-586 ◽  
pp. 2205-2208 ◽  
Author(s):  
Jian Wen Cao ◽  
Hao Kai Zheng
Keyword(s):  
Decision Model ◽  
Cost Management ◽  
Secondary Development ◽  
Analytic Hierarchy ◽  
Model Based ◽  
Development Technology ◽  
The Cost ◽  
Cost Plan ◽  
Decision Making Model ◽  
Hierarchy Process

An optimal cost decision is the premise of cost plan and the important way to realize the goal of cost and increase economic efficiency. At the same time, the correctness of the cost decision depends on accurate cost information.This paper builds the cost decision-making model based on the BIM with Revit API secondary development technology and the analytic hierarchy process (AHP), so as to provide methods for the cost decision of construction project and promote the application of BIM in cost management.

Iran Solutions against the Economic Sanctions: Analytic Hierarchy Process Approach

2013 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Farkhonde Jabalameli ◽  
Ehsan Rasoulinezhad
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Economic Sanctions ◽  
Analytic Hierarchy ◽  
Nuclear Program ◽  
Analytic Hierarchy Process Method ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Nuclear Program Of Iran ◽  
Process Method

Sanctions are penalties or limited program against some societies, countries or nations. Sanction usually consists of a ban on the sale and shipment of products to a country and on the purchase of its exports. Some countries have done it in various types against Iran since 1979. Recently due to nuclear program of Iran, the number of sanctions have raised dramatically.  However, Iran can definitely manage and overcome them with appropriate policies and decisions. In this paper we evaluate some chosen solutions of Iran in front of economic  sanctions (ES) using a multi attributes decision model named analytic hierarchy process method in three clusters as the local ,regional and global scopes. The results showed the efficiency of this decision making model in these sanctions. The results also indicate the best strategies to reduce and acting proactively against economic sanctions.

Family House-Purchase Decision Model Based on Analytic Hierarchy Process

2013 ◽  
Vol 423-426 ◽  
pp. 2973-2976 ◽  
Author(s):  
Cheng Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Housing Price ◽  
Housing Quality ◽  
Purchase Decision ◽  
Analytic Hierarchy ◽  
Actual Problem ◽  
Model Based ◽  
Hierarchy Process ◽  
Family House

Housing is the basic livelihood of the residents, and the residents need to consider many factors include the price, the quality, and the surrounding environment in the house-purchase decision. Aiming at the actual problem of family house-purchase decision, this paper established a family house-purchase decision model based on Analytic Hierarchy Process (AHP). Concretely, a hierarchical chart of family house-purchase is constructed based on four factors, i.e., housing price, housing quality, supporting facilities and traffic convenience degree, and then the decision method based on AHP is given to rank the order for the alternative commercial housings. It will provide the decision reference for feasible and effective decision-making of family house-purchase.

scholarly journals Research on the Influencing Factors of Purchasing Internet Financial Wealth Management Products based on AHP

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Xueying Feng
Keyword(s):  
Quantitative Research ◽  
Influential Factors ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Analytic Hierarchy ◽  
Financial Wealth ◽  
Wealth Management ◽  
Decision Making Model ◽  
Hierarchy Process

Internet financial wealth management product(IFWMP) has recently been one of the most popularity. There is limited quantitative research on IFWMP which can helps customers to choose the products based on the significance of each factor. In the paper, a multi-criteria decision-making model of IFWMP was developed, namely analytic hierarchy process (AHP) which is used to make decisions to the unstructured problems through quantifying weights of each criterion. This paper investigated ten influential factors relevant to the purchase of IFWMP and analyzed the frequency of collected responds to show the significance of factors. Based on the quantified weights, the result of the research indicated that compatibility, product liquidity, perceived ease of use and perceived usefulness affect the investors purchasing behaviors most that every investors should pay great attention to.

Decision-Making Model for Convention Site Selection

2012 ◽  
Vol 538-541 ◽  
pp. 895-900 ◽  
Author(s):  
Han Chen Huang
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Political Conflict ◽  
Decision Makers ◽  
City Image ◽  
Analytic Hierarchy ◽  
Number Of Factors ◽  
Decision Making Model ◽  
Hierarchy Process

A number of factors must be considered when selecting a convention site. Typically, most selections are based on the decision makers’ knowledge and experience, which may lead to biased decisions based on the decision makers’ subjective judgment. This study establishes decision-making evaluation factors and attributes for convention site selection based on a literature review. After surveying experts’ opinions using questionnaires, we employed the fuzzy analytic hierarchy process (FAHP) to analyze the weighting of the factors and attributes. The results show that of the five evaluation factors, site environment is the most important, followed by meeting and accommodation facilities, local support, extraconference opportunities, and costs. Additionally, the five most important attributes among the 20 evaluation attributes are the suitability of convention facilities, suitability and quality of local infrastructure, climate, city image, and political conflict or terrorist threats.

A Decision Model for Cognitive Task Allocation

1993 ◽  
Vol 37 (4) ◽  
pp. 392-396
Author(s):  
Sotiris A. Papantonopoulos ◽  
Gavriel Salvendy
Keyword(s):  
Analytic Hierarchy Process ◽  
Task Allocation ◽  
Task Analysis ◽  
Decision Model ◽  
Cognitive Task ◽  
Analytic Hierarchy ◽  
Performance Requirements ◽  
Resource Matching ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Cognitive task allocation employs task analysis to identify the performance and operational requirements of task functions; and demand/resource matching to match the identified requirements and the human and computer resources available for implementation. The current methodologies of cognitive task allocation are either too aggregate to provide adequate resolution of performance requirements or domain-specific and thus of limited applicability. The paper introduces a formal, quantitative, and domain-independent model of cognitive task allocation aimed at reducing the limitations inherent in the currently practiced methodologies. Demand/resource matching is modeled as an Analytic Hierarchy Process. The Analytic Hierarchy Process of Demand/Resource Matching is defined as a mapping process along a four-level Analytic Hierarchy. By means of the Analytic Hierarchy Process, a task function (Level 1 of the Analytic Hierarchy) is analyzed into its cognitive processes (Level 2); performance criteria are set for each cognitive process (Level 3) by means of which the capacities of the human, computer, or interactive human/computer controller (Level 4) are evaluated and compared. The Analytic Hierarchy Process then integrates judgements of human and computer abilities and limitations into a weighted average indicating the relative capacity of human and computer to perform this function. This assessment of relative merit of performance can hence be integrated with work design, economic, and other contextual factors towards the final allocation design. The Analytic Hierarchy Process was applied and evaluated in the design of task allocation in production planing and control of a flexible manufacturing system by comparing the allocation designs of two groups of subjects. One group was supported by the decision model, the other received no decision support. The observed differences between the two groups indicated that the decision model can effectively support detailed task analysis and an adequate resolution of performance requirements; the identification of the design, trade-offs between human allocation and automation; and provide the computational resources to reduce decision bias.

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