Adapting transport modes to supply chains classified by the uncertainty supply chain model: A case study at Manaus Industrial Pole

This paper discusses transport modes supporting Uncertainty Supply Chain Model (USCM) in the case of Manaus Industrial Pole (PIM), an industrial cluster in the Brazilian Amazon that hosts six hundred factories with diverse logistics and supply chain managerial strategies. USCM (Lee, 2002; Fisher, 19...

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Main Authors: Fabiana Lucena Oliveira, Aristides da Rocha Oliveira Junior, Luiza M. Bessa Rebelo
Format: Article
Language:English
Published: Universitat Politecnica de Valencia 2017-01-01
Series:International Journal of Production Management and Engineering
Subjects:
Online Access:http://polipapers.upv.es/index.php/IJPME/article/view/5775
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author Fabiana Lucena Oliveira
Aristides da Rocha Oliveira Junior
Luiza M. Bessa Rebelo
author_facet Fabiana Lucena Oliveira
Aristides da Rocha Oliveira Junior
Luiza M. Bessa Rebelo
author_sort Fabiana Lucena Oliveira
collection DOAJ
description This paper discusses transport modes supporting Uncertainty Supply Chain Model (USCM) in the case of Manaus Industrial Pole (PIM), an industrial cluster in the Brazilian Amazon that hosts six hundred factories with diverse logistics and supply chain managerial strategies. USCM (Lee, 2002; Fisher, 1997)develops a dot matrix classification of the supply chains considering several attributes (e.g., agility, cost, security, responsiveness) and argues that emergent economies industrial clusters, in the effort to keep attractiveness for technological frontier firms, need to adapt supply chain strategies according to USCM attributes. The paper takes a further step, discussing which transport modes are suitable to each supply chain classified at the USCM in PIM´s case. The research´s methods covered the use of PIM´s statistical official database (secondary data), interviews with the main logistical services providers of PIM and phone survey with a sample of firms (primary data). Findings confirm the theoretical argument that different supply chains will demand different transport modes running at the same time in the same industrial cluster (Oliveira, 2009). In the case of PIM, this implies investments on port and airport infrastructure and a strategic focus on air transport mode, due to (1) short life cycle of products, (2) distance from suppliers, (3) quick response to demand and (4) the fact that even PIM´s standard products use, in average, forty per cent of air transport at inbound logistics.
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spelling doaj.art-6fa74640a93342cc90ee052300df81da2022-12-22T02:54:16ZengUniversitat Politecnica de ValenciaInternational Journal of Production Management and Engineering2340-48762017-01-0151394310.4995/ijpme.2017.57755052Adapting transport modes to supply chains classified by the uncertainty supply chain model: A case study at Manaus Industrial PoleFabiana Lucena Oliveira0Aristides da Rocha Oliveira Junior1Luiza M. Bessa Rebelo2Amazonas State UniversityFederal University of AmazonasState University of AmazonasThis paper discusses transport modes supporting Uncertainty Supply Chain Model (USCM) in the case of Manaus Industrial Pole (PIM), an industrial cluster in the Brazilian Amazon that hosts six hundred factories with diverse logistics and supply chain managerial strategies. USCM (Lee, 2002; Fisher, 1997)develops a dot matrix classification of the supply chains considering several attributes (e.g., agility, cost, security, responsiveness) and argues that emergent economies industrial clusters, in the effort to keep attractiveness for technological frontier firms, need to adapt supply chain strategies according to USCM attributes. The paper takes a further step, discussing which transport modes are suitable to each supply chain classified at the USCM in PIM´s case. The research´s methods covered the use of PIM´s statistical official database (secondary data), interviews with the main logistical services providers of PIM and phone survey with a sample of firms (primary data). Findings confirm the theoretical argument that different supply chains will demand different transport modes running at the same time in the same industrial cluster (Oliveira, 2009). In the case of PIM, this implies investments on port and airport infrastructure and a strategic focus on air transport mode, due to (1) short life cycle of products, (2) distance from suppliers, (3) quick response to demand and (4) the fact that even PIM´s standard products use, in average, forty per cent of air transport at inbound logistics.http://polipapers.upv.es/index.php/IJPME/article/view/5775Uncertainty Supply Chain ModelManaus Industrial PoleTransport
spellingShingle Fabiana Lucena Oliveira
Aristides da Rocha Oliveira Junior
Luiza M. Bessa Rebelo
Adapting transport modes to supply chains classified by the uncertainty supply chain model: A case study at Manaus Industrial Pole
International Journal of Production Management and Engineering
Uncertainty Supply Chain Model
Manaus Industrial Pole
Transport
title Adapting transport modes to supply chains classified by the uncertainty supply chain model: A case study at Manaus Industrial Pole
title_full Adapting transport modes to supply chains classified by the uncertainty supply chain model: A case study at Manaus Industrial Pole
title_fullStr Adapting transport modes to supply chains classified by the uncertainty supply chain model: A case study at Manaus Industrial Pole
title_full_unstemmed Adapting transport modes to supply chains classified by the uncertainty supply chain model: A case study at Manaus Industrial Pole
title_short Adapting transport modes to supply chains classified by the uncertainty supply chain model: A case study at Manaus Industrial Pole
title_sort adapting transport modes to supply chains classified by the uncertainty supply chain model a case study at manaus industrial pole
topic Uncertainty Supply Chain Model
Manaus Industrial Pole
Transport
url http://polipapers.upv.es/index.php/IJPME/article/view/5775
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AT aristidesdarochaoliveirajunior adaptingtransportmodestosupplychainsclassifiedbytheuncertaintysupplychainmodelacasestudyatmanausindustrialpole
AT luizambessarebelo adaptingtransportmodestosupplychainsclassifiedbytheuncertaintysupplychainmodelacasestudyatmanausindustrialpole