<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta><journal-id journal-id-type="publisher-id">INFORMATICA</journal-id><journal-title-group><journal-title>Informatica</journal-title></journal-title-group><issn pub-type="epub">0868-4952</issn><issn pub-type="ppub">0868-4952</issn><publisher><publisher-name>VU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">inf24203</article-id><article-id pub-id-type="doi">10.15388/Informatica.2013.392</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Multi-Criteria Inventory Classification by Using a Fuzzy Analytic Network Process (ANP) Approach</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Kiriş</surname><given-names>Şafak</given-names></name><email xlink:href="mailto:safak.kiris@dpu.edu.tr">safak.kiris@dpu.edu.tr</email><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><aff id="j_INFORMATICA_aff_000">Dumlupinar University, Department of Industrial Engineering, Central Campus, Kutahya, Turkey</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>2013</year></pub-date><volume>24</volume><issue>2</issue><fpage>199</fpage><lpage>217</lpage><history><date date-type="received"><day>01</day><month>08</month><year>2012</year></date><date date-type="accepted"><day>01</day><month>01</month><year>2013</year></date></history><abstract><p>Inventory management is an important part of production planning process for enterprises. Decisions for strategies to determine when and how many to buy or make can be made by classifying the inventory items based on their sorts. In this evaluation, ABC inventory classification is one of the most commonly used approaches. In this study, a fuzzy analytic network process approach was proposed to determine the weights of the criteria and the scores of the inventory items were determined with simple additive weighting by using linguistic terms. Applying fuzzy ANP to a multi-criteria inventory classification problem is the novelty of this study in the related literature. In addition, the application area of the problem which is the management of the engineering vehicles' items in a construction firm is different from the other studies.</p></abstract><kwd-group><label>Keywords</label><kwd>multi-criteria decision making</kwd><kwd>fuzzy ANP</kwd><kwd>ABC classification</kwd><kwd>inventory control</kwd></kwd-group></article-meta></front></article>