A Bayesian Combination Forecasting Model for Retail Supply Chain Coordination

Retailing plays an important part in modern economic development, and supply chain coordination is the research focus in retail operations management. This paper reviews the collaborative forecasting process within the framework of the collaborative planning, forecasting and replenishment of retail supply chain. A Bayesian combination forecasting model is proposed to integrate multiple forecasting resources and coordinate forecasting processes among partners in the retail supply chain. Based on simulation results for retail sales, the effectiveness of this combination forecasting model is demonstrated for coordinating the collaborative forecasting processes, resulting in an improvement of demand forecasting accuracy in the retail supply chain.

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Principais autores: Wang,W.J., Xu,Q.
Formato: Digital revista
Idioma:English
Publicado em: Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología 2014
Acesso em linha:http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232014000200015
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spelling oai:scielo:S1665-642320140002000152015-02-12A Bayesian Combination Forecasting Model for Retail Supply Chain CoordinationWang,W.J.Xu,Q. Bayesian Combination Forecasting Model Retail Supply Chain Coordination Collaborative Forecasting Forecasting Accuracy Retailing plays an important part in modern economic development, and supply chain coordination is the research focus in retail operations management. This paper reviews the collaborative forecasting process within the framework of the collaborative planning, forecasting and replenishment of retail supply chain. A Bayesian combination forecasting model is proposed to integrate multiple forecasting resources and coordinate forecasting processes among partners in the retail supply chain. Based on simulation results for retail sales, the effectiveness of this combination forecasting model is demonstrated for coordinating the collaborative forecasting processes, resulting in an improvement of demand forecasting accuracy in the retail supply chain.info:eu-repo/semantics/openAccessUniversidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y TecnologíaJournal of applied research and technology v.12 n.2 20142014-01-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232014000200015en
institution SCIELO
collection OJS
country México
countrycode MX
component Revista
access En linea
databasecode rev-scielo-mx
tag revista
region America del Norte
libraryname SciELO
language English
format Digital
author Wang,W.J.
Xu,Q.
spellingShingle Wang,W.J.
Xu,Q.
A Bayesian Combination Forecasting Model for Retail Supply Chain Coordination
author_facet Wang,W.J.
Xu,Q.
author_sort Wang,W.J.
title A Bayesian Combination Forecasting Model for Retail Supply Chain Coordination
title_short A Bayesian Combination Forecasting Model for Retail Supply Chain Coordination
title_full A Bayesian Combination Forecasting Model for Retail Supply Chain Coordination
title_fullStr A Bayesian Combination Forecasting Model for Retail Supply Chain Coordination
title_full_unstemmed A Bayesian Combination Forecasting Model for Retail Supply Chain Coordination
title_sort bayesian combination forecasting model for retail supply chain coordination
description Retailing plays an important part in modern economic development, and supply chain coordination is the research focus in retail operations management. This paper reviews the collaborative forecasting process within the framework of the collaborative planning, forecasting and replenishment of retail supply chain. A Bayesian combination forecasting model is proposed to integrate multiple forecasting resources and coordinate forecasting processes among partners in the retail supply chain. Based on simulation results for retail sales, the effectiveness of this combination forecasting model is demonstrated for coordinating the collaborative forecasting processes, resulting in an improvement of demand forecasting accuracy in the retail supply chain.
publisher Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología
publishDate 2014
url http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232014000200015
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AT wangwj bayesiancombinationforecastingmodelforretailsupplychaincoordination
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