The decision to recruit manpower in an organization requires clear identification of the criteria (attributes) that distinguish successful from unsuccessful performance. The choice of appropriate attributes or criteria in different levels of hierarchy in an organization is a multi-criteria decision problem and therefore multi-criteria decision making (MCDM) techniques can be used for prioritiza...

Selection of qualified persons suitable for different organization functions is a key success factor for an organization. The complexity and importance of the problem call for analytical methods rather than intuitive decisions. The personnel selection problem requires the application of multi-criteria decision making (MCDM) methods for robust recruitment. This paper has to objectives; first to ...

One of important problems in supply chains management is supplier selection. In a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. Many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...

Managing natural resource lands requires social, as well as biophysical, considerations. Unfortunately, it is extremely difficult to accurately assess and quantify changing social preferences, and to aggregate conflicting opinions held by diverse social groups. The Analytic Hierarchy Process (AHP) provides a systematic, explicit, rigorous, and robust mechanism for eliciting and quantifying subj...

JMP® scripting language (JSL) can be used to implement the Analytic Hierarchy Process (AHP). AHP helps decisionmakers choose the best solution from several options and selection criteria. Thomas Saaty developed AHP as a decision-making method in the 1970s. AHP has broad applications in operations research, quality engineering, and design-for-six-sigma (DFSS) situations. AHP builds a hierarchy (...

In an era of global customization, dominating the majority market with a single product has become increasingly difficult and almost impossible for most companies. In contrast, they must provide various product varieties that attract diverse customers, particularly when acquiring distinct market segments. In practice, however, most companies cannot effectively reduce the gap between customer re...

The Analytic Hierarchy Process (AHP) has been considerably criticized for its possible rank reversal phenomenon. Many variants of the original AHP have been proposed to preserve rank orders. The validity of the original AHP and its variants have been a subject of long-lasting debate. In this paper we propose four criteria to evaluate the validity of AHP aggregation rules and examine three typic...

Effective supply chain design calls for robust analytical models and design tools. Previous works in this area are mostly Operation Research oriented without considering manufacturing aspects. Recently, researchers have begun to realize that the decision and integration effort in supply chain design should be driven by the manufactured product, specifically, product characteristics and product ...

Caixia Li , Sreenatha Gopalarao Anavatti, Tapabrata Ray University of New South Wales @ Australian Defence Force Academy [email protected] Abstract-This paper focuses on the design and implementation of the analytical hierarchy process (AHP) using Fuzzy inference techniques. This AHP-FUZZY approach is a multi-criteria combination system. The nature of the AHP-FUZZY approach is pair-...

ABSTRACT This research mainly aims to provide a practical method (1) rank firm's customers, (2) determine the implied uncertainty for customers’ demand, and (3) allocate supply chain (SC) resources meeting customer demands in an equitable manner order them with appropriate/desired level of responsiveness. The suggested methodology utilizes analytic hierarchy process (AHP) Delphi assess customer...