Multi-criteria analysis of Advanced Planning System implementation

Detalhes bibliográficos
Autor(a) principal: Tramarico, Claudemir L. [UNESP]
Data de Publicação: 2017
Outros Autores: Salomon, Valério A.P. [UNESP], Marins, Fernando A.S. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/187740
Resumo: The implementation of Advanced Planning Systems (APS) software may offers to Supply Chain Management (SCM) planning and optimization functionalities to industrial processes. A complete assessment of APS implementation should involve multiple criteria. Analytic Hierarchy Process (AHP) is worldwide multi-criteria analysis method. The Benefits, Opportunities, Costs, and Risks (BOCR) is a model developed from AHP theory. BOCR model allows a flexible analysis and potentially richer as opposed to only costs and benefits analysis. For APS implementation benefits are regarding to customer services, internal business processes and modular architecture issues; Opportunities relates to flexibility in adapting to changes, errors reducing, innovation and learning; Costs relates to project on budget, project on time and SCM costs; and Risks are associated with data, process, and user fit. The objective in this paper is to present a model for the assessment of APS implementation.
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spelling Multi-criteria analysis of Advanced Planning System implementationAdvanced Planning SystemAnalytic Hierarchy ProcessSupply Chain ManagementThe implementation of Advanced Planning Systems (APS) software may offers to Supply Chain Management (SCM) planning and optimization functionalities to industrial processes. A complete assessment of APS implementation should involve multiple criteria. Analytic Hierarchy Process (AHP) is worldwide multi-criteria analysis method. The Benefits, Opportunities, Costs, and Risks (BOCR) is a model developed from AHP theory. BOCR model allows a flexible analysis and potentially richer as opposed to only costs and benefits analysis. For APS implementation benefits are regarding to customer services, internal business processes and modular architecture issues; Opportunities relates to flexibility in adapting to changes, errors reducing, innovation and learning; Costs relates to project on budget, project on time and SCM costs; and Risks are associated with data, process, and user fit. The objective in this paper is to present a model for the assessment of APS implementation.São Paulo State University (UNESP) Engineering School Campus GuaratinguetáSão Paulo State University (UNESP) Engineering School Campus GuaratinguetáUniversidade Estadual Paulista (Unesp)Tramarico, Claudemir L. [UNESP]Salomon, Valério A.P. [UNESP]Marins, Fernando A.S. [UNESP]2019-10-06T15:45:46Z2019-10-06T15:45:46Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject722-728Proceedings of the International Conference on Industrial Engineering and Operations Management, v. 2017, n. OCT, p. 722-728, 2017.2169-8767http://hdl.handle.net/11449/1877402-s2.0-85067130840Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the International Conference on Industrial Engineering and Operations Managementinfo:eu-repo/semantics/openAccess2022-02-14T23:12:33Zoai:repositorio.unesp.br:11449/187740Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:22:08.091404Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Multi-criteria analysis of Advanced Planning System implementation
title Multi-criteria analysis of Advanced Planning System implementation
spellingShingle Multi-criteria analysis of Advanced Planning System implementation
Tramarico, Claudemir L. [UNESP]
Advanced Planning System
Analytic Hierarchy Process
Supply Chain Management
title_short Multi-criteria analysis of Advanced Planning System implementation
title_full Multi-criteria analysis of Advanced Planning System implementation
title_fullStr Multi-criteria analysis of Advanced Planning System implementation
title_full_unstemmed Multi-criteria analysis of Advanced Planning System implementation
title_sort Multi-criteria analysis of Advanced Planning System implementation
author Tramarico, Claudemir L. [UNESP]
author_facet Tramarico, Claudemir L. [UNESP]
Salomon, Valério A.P. [UNESP]
Marins, Fernando A.S. [UNESP]
author_role author
author2 Salomon, Valério A.P. [UNESP]
Marins, Fernando A.S. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Tramarico, Claudemir L. [UNESP]
Salomon, Valério A.P. [UNESP]
Marins, Fernando A.S. [UNESP]
dc.subject.por.fl_str_mv Advanced Planning System
Analytic Hierarchy Process
Supply Chain Management
topic Advanced Planning System
Analytic Hierarchy Process
Supply Chain Management
description The implementation of Advanced Planning Systems (APS) software may offers to Supply Chain Management (SCM) planning and optimization functionalities to industrial processes. A complete assessment of APS implementation should involve multiple criteria. Analytic Hierarchy Process (AHP) is worldwide multi-criteria analysis method. The Benefits, Opportunities, Costs, and Risks (BOCR) is a model developed from AHP theory. BOCR model allows a flexible analysis and potentially richer as opposed to only costs and benefits analysis. For APS implementation benefits are regarding to customer services, internal business processes and modular architecture issues; Opportunities relates to flexibility in adapting to changes, errors reducing, innovation and learning; Costs relates to project on budget, project on time and SCM costs; and Risks are associated with data, process, and user fit. The objective in this paper is to present a model for the assessment of APS implementation.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
2019-10-06T15:45:46Z
2019-10-06T15:45:46Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Proceedings of the International Conference on Industrial Engineering and Operations Management, v. 2017, n. OCT, p. 722-728, 2017.
2169-8767
http://hdl.handle.net/11449/187740
2-s2.0-85067130840
identifier_str_mv Proceedings of the International Conference on Industrial Engineering and Operations Management, v. 2017, n. OCT, p. 722-728, 2017.
2169-8767
2-s2.0-85067130840
url http://hdl.handle.net/11449/187740
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the International Conference on Industrial Engineering and Operations Management
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 722-728
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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