View in EDS PDF Full Text

Métodos de previsão de demanda: uma revisão da literatura.

Saved in:
Bibliographic Details
Title: Métodos de previsão de demanda: uma revisão da literatura.
Alternate Title: DEMAND FORECASTING METHODS: A LITERATURE REVIEW.
MÉTODOS DE PREDICCIÓN DE DEMANDA: UNA REVISIÓN DE LA LITERATURA.
MÉTHODES DE PRÉVISION DE LA DEMANDE : UNE REVUE DE LA LITTÉRATURE.
Authors: Ackermann, Andres E. F.1 andresefackermann@gmail.com, Sellitto, Miguel A.2 sellitto@unisinos.br
Source: Innovar: Revista de Ciencias Administrativas y Sociales. Jul-Sep2022, Vol. 32 Issue 85, p83-99. 17p.
Database: Sociology Source Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: sxi
DbLabel: Sociology Source Ultimate
An: 157964398
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Métodos de previsão de demanda: uma revisão da literatura.
– Name: TitleAlt
  Label: Alternate Title
  Group: TiAlt
  Data: DEMAND FORECASTING METHODS: A LITERATURE REVIEW.<br />MÉTODOS DE PREDICCIÓN DE DEMANDA: UNA REVISIÓN DE LA LITERATURA.<br />MÉTHODES DE PRÉVISION DE LA DEMANDE : UNE REVUE DE LA LITTÉRATURE.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ackermann%2C+Andres+E%2E+F%2E%22">Ackermann, Andres E. F.</searchLink><relatesTo>1</relatesTo><i> andresefackermann@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sellitto%2C+Miguel+A%2E%22">Sellitto, Miguel A.</searchLink><relatesTo>2</relatesTo><i> sellitto@unisinos.br</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Innovar%3A+Revista+de+Ciencias+Administrativas+y+Sociales%22">Innovar: Revista de Ciencias Administrativas y Sociales</searchLink>. Jul-Sep2022, Vol. 32 Issue 85, p83-99. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=sxi&AN=157964398
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.15446/innovar.v32n85.100979
    Languages:
      – Code: por
        Text: Portuguese
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 83
    Titles:
      – TitleFull: Métodos de previsão de demanda: uma revisão da literatura.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ackermann, Andres E. F.
      – PersonEntity:
          Name:
            NameFull: Sellitto, Miguel A.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul-Sep2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 01215051
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 85
          Titles:
            – TitleFull: Innovar: Revista de Ciencias Administrativas y Sociales
              Type: main
ResultId 1