Title Negotiation of on-site buffer stocks: a fuzzy non-structural fuzzy decision support system approach

نویسندگان

  • Thomas Ng
  • Yuan Fang
  • Martin Skitmore
چکیده

Purpose – This paper examines the potential for applying non-structural fuzzy decision support theory to modelling the negotiation between various participants with conflicting objectives so as to establish the optimum buffer stocks for a construction project. Design/methodology/approach – In view of the divergence in objectives between various decision-makers when determining the amount of materials to be delivered to site, the concept of integrating the Non-Structural Fuzzy Decision Support System (NSFDSS) to multi-attribute decision making is reviewed. With the help of a case example, the process involved in the NSFDSS and the methodology of evaluation is illustrated. Finally, the paper proposes the use of the Nash criterion to measure the utility of various decision-makers so as to identify an equilibrium solution for the quantity of materials to be supplied. Findings – The results indicate that the requisite number of on-site stocks can be determined by referring to the utility of the parties involved in decision making. Research limitations/implications – The NFDSS systematically evaluates each scenario under different affected factors such as cost, schedule, quality, safety, etc. Finally, a scenario utility is computed to establish the preferences of each party. Practical implications – NFDSS can systematically analyse human judgments to generate relative weightings for the decision factors and elements. The NFDSS model can be applied to real-world cases to determine the frequency of delivery and the amount of buffer stocks that would meet the requirements of the various project participants.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Fuzzy Approach to Sequential Failure Analysis Using Petri nets

In highly competitive industrial market, the concept of failure analysis is an unavoidable fact in complex industrial systems. Reliability of such systems not only depends on the reliability of each element of these systems, but also depends on occurrence of sequence of failures. In this paper, a novel approach to sequential failure analysis is proposed which is based upon fuzzy logic and the c...

متن کامل

Strategy-aligned fuzzy approach for market segment evaluation and selection: a modular decision support system by dynamic network process (DNP)

In competitive markets, market segmentation is a critical point of business, and it can be used as a generic strategy. In each segment, strategies lead companies to their targets; thus, segment selection and the application of the appropriate strategies over time are very important to achieve successful business. This paper aims to model a strategy-aligned fuzzy approach to market segment ev...

متن کامل

Risk Analysis in E-commerce via Fuzzy Logic

This paper describes the development of a fuzzy decision support system (FDSS) for the assessment of risk in E-commerce (EC) development. A Web-based prototype FDSS is suggested to assist EC project managers in identifying potential EC risk factors and the corresponding project risks. A risk analysis model for EC development using a fuzzy set approach is proposed and incorporated into the FDSS....

متن کامل

Applying an integrated fuzzy gray MCDM approach: A case study on mineral processing plant site selection

The accurate selection of a processing plant site can result in decreasing total mining cost. This problem can be solved by multi-criteria decision-making (MCDM) methods. This research introduces a new approach by integrating fuzzy AHP and gray MCDM methods to solve all decision-making problems. The approach is applied in the case of a copper mine area. The critical criteria are considered adja...

متن کامل

Tradinnova-Fuz: Fuzzy Portfolio Investment - Dynamic Stock Portfolio Decision-making Assistance Model based on a Fuzzy Inference System

This paper describes a decision system based on rules for the management of a stock portfolio using a fuzzy inference system to select the stocks to be incorporated. This system simulates the intelligent behavior of an investor, carrying out the buying and selling of stocks, such that during each day the best stocks will be selected to be incorporated in the portfolio with the use of technical ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008