A simulation of contract farming using agent based modeling
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
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/63605 |
Resumo: | This study aims to simulate the effects of contract farming and farmer commitment to contract farming on supply chain performance by using agent based modeling as a methodology. Supply chain performance is represented by profits and service levels. The simulation results indicate that farmers should pay attention to customer requirements and plan their agricultural activities in order to fulfill these requirements. Contract farming helps farmers deal with demand and price uncertainties. We also find that farmer commitment is crucial to fulfilling contract requirements. This study contributes to this field from a conceptual as well as a practical point of view. From the conceptual point of view, our simulation results show that different levels of farmer commitment have an impact on farmer performance when implementing contract farming. From a practical point of view, the uncertainty faced by farmers and the market can be managed by implementing cultivation and harvesting scheduling, information sharing, and collective learning as ways of committing to contract farming. |
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JOSCM. Journal of Operations and Supply Chain Management |
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|
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A simulation of contract farming using agent based modelingContract farmingagent based modeling and simulationcommitmentcultivation and harvest schedulingsupply chain performance.This study aims to simulate the effects of contract farming and farmer commitment to contract farming on supply chain performance by using agent based modeling as a methodology. Supply chain performance is represented by profits and service levels. The simulation results indicate that farmers should pay attention to customer requirements and plan their agricultural activities in order to fulfill these requirements. Contract farming helps farmers deal with demand and price uncertainties. We also find that farmer commitment is crucial to fulfilling contract requirements. This study contributes to this field from a conceptual as well as a practical point of view. From the conceptual point of view, our simulation results show that different levels of farmer commitment have an impact on farmer performance when implementing contract farming. From a practical point of view, the uncertainty faced by farmers and the market can be managed by implementing cultivation and harvesting scheduling, information sharing, and collective learning as ways of committing to contract farming.FGV EAESP2016-07-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.fgv.br/joscm/article/view/6360510.12660/joscmv9n2p28-48Journal of Operations and Supply Chain Management; Vol. 9 No. 2 (2016): July - December; 28-48Journal of Operations and Supply Chain Management; v. 9 n. 2 (2016): July - December; 28-481984-3046reponame:JOSCM. Journal of Operations and Supply Chain Managementinstname:Fundação Getulio Vargas (FGV)instacron:FGVenghttps://periodicos.fgv.br/joscm/article/view/63605/pdf_19Copyright (c) 2017 Journal of Operations and Supply Chain Managementinfo:eu-repo/semantics/openAccessHandayati, YuanitaSimatupang, Togar MangihutPerdana, TomySiallagan, Manahan2017-08-07T15:01:50Zoai:ojs.periodicos.fgv.br:article/63605Revistahttp://bibliotecadigital.fgv.br/ojs/index.php/joscmPRIhttp://bibliotecadigital.fgv.br/ojs/index.php/joscm/oai||joscm@fgv.br1984-30461984-3046opendoar:2017-08-07T15:01:50JOSCM. Journal of Operations and Supply Chain Management - Fundação Getulio Vargas (FGV)false |
dc.title.none.fl_str_mv |
A simulation of contract farming using agent based modeling |
title |
A simulation of contract farming using agent based modeling |
spellingShingle |
A simulation of contract farming using agent based modeling Handayati, Yuanita Contract farming agent based modeling and simulation commitment cultivation and harvest scheduling supply chain performance. |
title_short |
A simulation of contract farming using agent based modeling |
title_full |
A simulation of contract farming using agent based modeling |
title_fullStr |
A simulation of contract farming using agent based modeling |
title_full_unstemmed |
A simulation of contract farming using agent based modeling |
title_sort |
A simulation of contract farming using agent based modeling |
author |
Handayati, Yuanita |
author_facet |
Handayati, Yuanita Simatupang, Togar Mangihut Perdana, Tomy Siallagan, Manahan |
author_role |
author |
author2 |
Simatupang, Togar Mangihut Perdana, Tomy Siallagan, Manahan |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Handayati, Yuanita Simatupang, Togar Mangihut Perdana, Tomy Siallagan, Manahan |
dc.subject.por.fl_str_mv |
Contract farming agent based modeling and simulation commitment cultivation and harvest scheduling supply chain performance. |
topic |
Contract farming agent based modeling and simulation commitment cultivation and harvest scheduling supply chain performance. |
description |
This study aims to simulate the effects of contract farming and farmer commitment to contract farming on supply chain performance by using agent based modeling as a methodology. Supply chain performance is represented by profits and service levels. The simulation results indicate that farmers should pay attention to customer requirements and plan their agricultural activities in order to fulfill these requirements. Contract farming helps farmers deal with demand and price uncertainties. We also find that farmer commitment is crucial to fulfilling contract requirements. This study contributes to this field from a conceptual as well as a practical point of view. From the conceptual point of view, our simulation results show that different levels of farmer commitment have an impact on farmer performance when implementing contract farming. From a practical point of view, the uncertainty faced by farmers and the market can be managed by implementing cultivation and harvesting scheduling, information sharing, and collective learning as ways of committing to contract farming. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-07-11 |
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/63605 10.12660/joscmv9n2p28-48 |
url |
https://periodicos.fgv.br/joscm/article/view/63605 |
identifier_str_mv |
10.12660/joscmv9n2p28-48 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.fgv.br/joscm/article/view/63605/pdf_19 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Journal of Operations and Supply Chain Management info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Journal of Operations and Supply Chain Management |
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. 9 No. 2 (2016): July - December; 28-48 Journal of Operations and Supply Chain Management; v. 9 n. 2 (2016): July - December; 28-48 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_ |
1798943730674171904 |