Skip to main navigation Skip to search Skip to main content

Supplier selection in agile manufacturing using fuzzy analytic hierarchy process

  • Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

11 Citations (Scopus)

Abstract

The focus on competitive supply chains and extended enterprises requires the adoption of agile manufacturing practices demanding their suppliers to have agile attributes. This study designs and implements a procedure for judging the suitability of suppliers for an organisation competing on agile manufacturing characteristics. Quantitative and qualitative factors are used to appraise and select appropriate suppliers to fit within an organisation's agility practices. Under incomplete information from the experts, the fuzzy set theory is used to handle the uncertainty. A fuzzy analytic hierarchy process is used for the selection of the best supplier for agile manufacturing. The selection criteria are determined after a wide literature review. A detailed application is given to illustrate the model.

Original languageEnglish
Title of host publicationEnterprise Networks and Logistics for Agile Manufacturing
PublisherSpringer London
Pages155-190
Number of pages36
ISBN (Print)9781849962438
DOIs
Publication statusPublished - 2010

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics of 'Supplier selection in agile manufacturing using fuzzy analytic hierarchy process'. Together they form a unique fingerprint.

Cite this