Analytic hierarchy process : An overview of applications

This paper surveys expert systems (ES) development using a literature review and classification of articles from 1995 to 2004 with a keyword index and article abstract in order to explore how ES methodologies and applications have developed during this period. Based on the scope of 166 articles from 78 academic journals (retrieved from five online database) of ES applications, this paper surveys and classifies ES methodologies using the following eleven categories: rule-based systems, knowledge-based systems, neural networks, fuzzy ESs, object-oriented methodology, case-based reasoning, system architecture, intelligent agent systems, database methodology, modeling, and ontology together with their applications for different research and problem domains. Discussion is presented, indicating the followings future development directions for ES methodologies and applications: (1) ES methodologies are tending to develop towards expertise orientation and ES applications development is a problem-oriented domain. (2) It is suggested that different social science methodologies, such as psychology, cognitive science, and human behavior could implement ES as another kind of methodology. (3) The ability to continually change and obtain new understanding is the driving power of ES methodologies, and should be the ES application of future works.

http://www.sci.brooklyn.cuny.edu/~kopec/cis718/fall_2005/sdarticle5.pdf

Expert system methodologies and applications—a decade review from 1995 to 2004

Routing and scheduling of vehicles and crews: The state of the art

In pickup and delivery problems vehicles have to transport loads from origins to destinations without transshipment at intermediate locations. In this paper, we discuss several characteristics that distinguish them from standard vehicle routing problems and present a survey of the problem types and solution methods found in the literature.

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The General Pickup and Delivery Problem

Despite the importance of decision-making (DM) techniques for construction of effective decision models for supplier selection, there is a lack of a systematic literature review for it. This paper provides a systematic literature review on articles published from 2008 to 2012 on the application of DM techniques for supplier selection. By using a methodological decision analysis in four aspects including decision problems, decision makers, decision environments, and decision approaches, we finally selected and reviewed 123 journal articles. To examine the research trend on uncertain supplier selection, these articles are roughly classified into seven categories according to different uncertainties. Under such classification framework, 26 DM techniques are identified from three perspectives: (1) Multicriteria decision making (MCDM) techniques, (2) Mathematical programming (MP) techniques, and (3) Artificial intelligence (AI) techniques. We reviewed each of the 26 techniques and analyzed the means of integrating these techniques for supplier selection. Our survey provides the recommendation for future research and facilitates knowledge accumulation and creation concerning the application of DM techniques in supplier selection.

Application of decision-making techniques in supplier selection: A systematic review of literature

Determining the relative efficiency of MBA programs using DEA

Using the analytic hierarchy process to rank foreign suppliers based on supply risks

A simulation approach for handling uncertainty in the analytic hierarchy process

Purpose – The purpose of this article is to identify and apply an appropriate methodology for evaluating and ranking potential suppliers.Design/methodology/approach – Essential characteristics of suppliers that must be considered in the supplier selection process are identified. Risk to the disruption of company operations as it relates to the reliability of suppliers is described as a reliability chain.Findings – The analytic hierarchy process (AHP) is shown to be the appropriate methodology for evaluating and ranking potential suppliers.Practical implications – The case study demonstrates how the AHP can serve as a valuable methodology for ranking and selecting suppliers.Originality/value – The case study shows that the AHP can be used to evaluate and rank current and potential suppliers based on multiple criteria of supply reliability.

Ranking foreign suppliers based on supply risk

A methodology is developed for ranking entry mode alternatives encountered by individual firms considering foreign direct investment (FDI). The methodology deals with the risks and uncertainties related to FDI. The analytic hierarchy process (AHP) is used to solve the multiple criteria decision-making problem using input from a firm's management. A simulation approach is incorporated into the AHP to handle the uncertainty considerations encountered in an FDI environment. The uncertainties include: (1) uncertainty regarding the future characteristics of the FDI decision making environment, (2) uncertainty associated with the decision maker's judgment regarding pairwise comparisons necessitated by the AHP.

Reuven R. Levary

Papers

Determining the relative efficiency of MBA programs using DEA

Using the analytic hierarchy process to rank foreign suppliers based on supply risks

A simulation approach for handling uncertainty in the analytic hierarchy process

Ranking foreign suppliers based on supply risk

An analytic hierarchy process based simulation model for entry mode decision regarding foreign direct investment