Optimal product/customer mix selection as a strategic tool for cross-functional integration

Detalhes bibliográficos
Autor(a) principal: De Figueiredo, João Neiva
Data de Publicação: 2011
Outros Autores: Mayerle, Sergio Fernando, Donato, Felipe Simas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: JOSCM. Journal of Operations and Supply Chain Management
Texto Completo: https://periodicos.fgv.br/joscm/article/view/11161
Resumo: Cross-functional integration is a necessity as operations become ever more important for the formulation and implementation of overall company strategy. Despite the abundance of theoretical studies extolling the advisability of smooth intra-company interfacing, the operations strategy literature has not been as prolific regarding tools to increase this desired integration. This paper develops an uncomplicated multi-period analytical model that helps increase coordination of the engineering, purchasing, marketing, and sales areas among themselves and with manufacturing by focusing on the overall company objective of maximizing contribution to profits. The paper begins describing the theoretical underpinnings of production and operations processes as they relate to the strategy of the firm, presents the model, and then expands its scope to include interfaces with other functional areas of the firm. The methodology is based on a two-stage multi-period optimization model for aggregate production planning encompassing component supply management and final assembly. This methodology expands the concept of Sales and Operations Planning (S&OP) through a linear programming model that uses cost and profit contribution data to select the optimal product and customer mix. The sensitivity of results to costing and pricing data leads to increased cross-functional coordination. An illustrative application improving the medium-term operations strategy of a Brazilian OEM manufacturer is presented.
id FGV-3_53642cef6472012ef90a348fbae29e1d
oai_identifier_str oai:ojs.periodicos.fgv.br:article/11161
network_acronym_str FGV-3
network_name_str JOSCM. Journal of Operations and Supply Chain Management
repository_id_str
spelling Optimal product/customer mix selection as a strategic tool for cross-functional integrationaggregate production planningS&OPcross-functional integrationproduct mixproduct/client mixlinear programmingCross-functional integration is a necessity as operations become ever more important for the formulation and implementation of overall company strategy. Despite the abundance of theoretical studies extolling the advisability of smooth intra-company interfacing, the operations strategy literature has not been as prolific regarding tools to increase this desired integration. This paper develops an uncomplicated multi-period analytical model that helps increase coordination of the engineering, purchasing, marketing, and sales areas among themselves and with manufacturing by focusing on the overall company objective of maximizing contribution to profits. The paper begins describing the theoretical underpinnings of production and operations processes as they relate to the strategy of the firm, presents the model, and then expands its scope to include interfaces with other functional areas of the firm. The methodology is based on a two-stage multi-period optimization model for aggregate production planning encompassing component supply management and final assembly. This methodology expands the concept of Sales and Operations Planning (S&OP) through a linear programming model that uses cost and profit contribution data to select the optimal product and customer mix. The sensitivity of results to costing and pricing data leads to increased cross-functional coordination. An illustrative application improving the medium-term operations strategy of a Brazilian OEM manufacturer is presented.FGV EAESP2011-06-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.fgv.br/joscm/article/view/1116110.12660/joscmv4n1p51-70Journal of Operations and Supply Chain Management; Vol. 4 No. 1 (2011): January - June; 51-70Journal of Operations and Supply Chain Management; v. 4 n. 1 (2011): January - June; 51-701984-3046reponame:JOSCM. Journal of Operations and Supply Chain Managementinstname:Fundação Getulio Vargas (FGV)instacron:FGVenghttps://periodicos.fgv.br/joscm/article/view/11161/10132De Figueiredo, João NeivaMayerle, Sergio FernandoDonato, Felipe Simasinfo:eu-repo/semantics/openAccess2018-06-12T16:13:14Zoai:ojs.periodicos.fgv.br:article/11161Revistahttp://bibliotecadigital.fgv.br/ojs/index.php/joscmPRIhttp://bibliotecadigital.fgv.br/ojs/index.php/joscm/oai||joscm@fgv.br1984-30461984-3046opendoar:2018-06-12T16:13:14JOSCM. Journal of Operations and Supply Chain Management - Fundação Getulio Vargas (FGV)false
dc.title.none.fl_str_mv Optimal product/customer mix selection as a strategic tool for cross-functional integration
title Optimal product/customer mix selection as a strategic tool for cross-functional integration
spellingShingle Optimal product/customer mix selection as a strategic tool for cross-functional integration
De Figueiredo, João Neiva
aggregate production planning
S&OP
cross-functional integration
product mix
product/client mix
linear programming
title_short Optimal product/customer mix selection as a strategic tool for cross-functional integration
title_full Optimal product/customer mix selection as a strategic tool for cross-functional integration
title_fullStr Optimal product/customer mix selection as a strategic tool for cross-functional integration
title_full_unstemmed Optimal product/customer mix selection as a strategic tool for cross-functional integration
title_sort Optimal product/customer mix selection as a strategic tool for cross-functional integration
author De Figueiredo, João Neiva
author_facet De Figueiredo, João Neiva
Mayerle, Sergio Fernando
Donato, Felipe Simas
author_role author
author2 Mayerle, Sergio Fernando
Donato, Felipe Simas
author2_role author
author
dc.contributor.author.fl_str_mv De Figueiredo, João Neiva
Mayerle, Sergio Fernando
Donato, Felipe Simas
dc.subject.por.fl_str_mv aggregate production planning
S&OP
cross-functional integration
product mix
product/client mix
linear programming
topic aggregate production planning
S&OP
cross-functional integration
product mix
product/client mix
linear programming
description Cross-functional integration is a necessity as operations become ever more important for the formulation and implementation of overall company strategy. Despite the abundance of theoretical studies extolling the advisability of smooth intra-company interfacing, the operations strategy literature has not been as prolific regarding tools to increase this desired integration. This paper develops an uncomplicated multi-period analytical model that helps increase coordination of the engineering, purchasing, marketing, and sales areas among themselves and with manufacturing by focusing on the overall company objective of maximizing contribution to profits. The paper begins describing the theoretical underpinnings of production and operations processes as they relate to the strategy of the firm, presents the model, and then expands its scope to include interfaces with other functional areas of the firm. The methodology is based on a two-stage multi-period optimization model for aggregate production planning encompassing component supply management and final assembly. This methodology expands the concept of Sales and Operations Planning (S&OP) through a linear programming model that uses cost and profit contribution data to select the optimal product and customer mix. The sensitivity of results to costing and pricing data leads to increased cross-functional coordination. An illustrative application improving the medium-term operations strategy of a Brazilian OEM manufacturer is presented.
publishDate 2011
dc.date.none.fl_str_mv 2011-06-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.fgv.br/joscm/article/view/11161
10.12660/joscmv4n1p51-70
url https://periodicos.fgv.br/joscm/article/view/11161
identifier_str_mv 10.12660/joscmv4n1p51-70
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.fgv.br/joscm/article/view/11161/10132
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv FGV EAESP
publisher.none.fl_str_mv FGV EAESP
dc.source.none.fl_str_mv Journal of Operations and Supply Chain Management; Vol. 4 No. 1 (2011): January - June; 51-70
Journal of Operations and Supply Chain Management; v. 4 n. 1 (2011): January - June; 51-70
1984-3046
reponame:JOSCM. Journal of Operations and Supply Chain Management
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str JOSCM. Journal of Operations and Supply Chain Management
collection JOSCM. Journal of Operations and Supply Chain Management
repository.name.fl_str_mv JOSCM. Journal of Operations and Supply Chain Management - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv ||joscm@fgv.br
_version_ 1798943730286198784