Application of stochastic analytic hierarchy process within a domestic appliance manufacturer

R. Banuelas, J. Antony

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)


The stochastic analytic hierarchy process (SAHP) provides a mechanism for achieving more effective selection of alternatives in the form of considering multi and conflicting criteria using quantitative and qualitative information under uncertainty. In contrast to the traditional analytic hierarchy process, the SAHP uses probabilistic distributions to incorporate uncertainty that people have in converging their judgements of preferences into a Likert scale. The vector of priorities is calculated using Monte Carlo simulation, the final rankings are analysed for rank reversal using statistical analysis, and managerial aspects are introduced systematically. The present paper demonstrates an application of the SAHP in a world-class domestic appliance manufacturer. The case study was carried out by strictly following a disciplined and organized methodology for applying the SAHP developed by the authors. The results of this study were encouraging to key personnel within the company, establishing a greater opportunity to explore the applications of the SAHP in other core business processes.
Original languageEnglish
Pages (from-to)29-38
Number of pages9
JournalJournal of the Operational Research Society
Issue number1
Publication statusPublished - Jan 2007


  • studies
  • stochastic models
  • hierarchies
  • operations research
  • Monte Carlo simulation


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