In this paper, a bi-objective multi-product single-vendor single-buyer supply chain problem is studied under green vendor-managed inventory (VMI) policy based on the economic production quantity (EPQ) model. To bring the model closer to real-world supply chain, four constraints of model including backordering cost, number of orders, production budget and warehouse space are considered stochasti...

Data envelopment analysis (DEA) is a common technique in measuring the relative efficiency of a set of decision making units (DMUs) with multiple inputs and multiple outputs. ‎‎Standard DEA models are ‎‎quite limited models‎, ‎in the sense that they do not consider a DMU ‎‎at different times‎. ‎To resolve this problem‎, ‎DEA models with dynamic ‎‎structures have been proposed‎.‎In a recent pape...

abstract— in this paper, a new extended method of multi criteria decision making based on fuzzy-topsis theory is introduced. fuzzy mcdm algorithm for determining the best choice among all possible choices when the data are fuzzy is also presented. using a new index leads to procedure for choosing fuzzy ideal and negative ideal solutions directly from the fuzzy data observed alternatives.in this...

Interval-valued intuitionistic fuzzy set (IVIFS) has developed to cope with the uncertainty of imprecise human thinking. In the present communication, new entropy and similarity measures for IVIFSs based on exponential function are presented and compared with the existing measures. Numerical results reveal that the proposed information measures attain the higher association with the existing me...

Uncertain random variables are used to describe the phenomenon of simultaneous appearance of both uncertainty and randomness in a complex system. For modeling multi-objective decision-making problems with uncertain random parameters, a class of uncertain random optimization is suggested for decision systems in this paper, called the uncertain random multi-objective programming. For solving the ...

suitability analysis is a prerequisite for sustainable agricultural production and it involves evaluation of the environmental parameters. the development and creation of appropriate points for this land use without considering environmental capability will result in the appearance of several ecological, economic, and social problems. the multi-criteria decision making (mcdm) models were used f...

T multi-objective multi-stakeholder decision modeling methodology is an effective way to describe and aid context-rich idiosyncratic organizational decision making situations that traditional single attribute decision methodologies can not tackle. The purpose of this paper is to demonstrate how to teach students this methodology as a decision making tool to analyze real-life decision problems u...

0309-1708/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.advwatres.2011.02.009 ⇑ Corresponding author. Tel.: +1 407 823 2317; fax E-mail addresses: [email protected] (K. Mad Lund). 1 Tel.: +1 530 752 5671; fax: +1 530 752 7872. Game theory provides a useful framework for studying Multi-Criteria Decision Making problems. This paper suggests modeling Multi-Criteria Decision Making probl...

one of the most important steps involved in mining operations is to select an appropriate extraction method for mine resources. after choosing the extraction method, it is usually impossible to replace it with another one because it may be so expensive that implementation of the entire project could be economically impossible. choosing a mining method depends on the geological and geometrical c...