Production
https://prod.org.br/article/doi/10.1590/S0103-65132013005000052
Production
Article

The relationship between the logistics complexity of manufacturing companies and their supply chain management

A relação entre a complexidade logística de empresas industriais e seu gerenciamento da cadeia de suprimentos

Wanke, Peter Fernandes; Corrêa, Henrique Luiz

Downloads: 0
Views: 1089

Abstract

This study aims to investigate whether, and the means by which, supply chain managers of large manufacturing companies adopt a context-dependent approach (also called contingency approach) in their supply chain decisions; it empirically explores the correlation between logistics complexity-related contextual conditions and supply chain management (SCM) objectives and decision areas. The study involves a comprehensive literature review, followed by an analysis of survey data (based on a sample of 108 large manufacturing companies in Brazil), using cluster analysis, factor analysis and binary logistic regression. In this study, we not only investigate the major effects of supply chain objectives and decision areas as predictors of the logistics complexity of manufacturing but also investigate their second order interactions. Statistically significant relationships were found between logistics complexity-related contextual conditions and objectives and decision areas involving the supply chain. The managers of large companies who were surveyed considered different objectives and decision areas to be critical to the achievement of supply chain excellence when their companies had different levels of logistics complexity.

Keywords

Brazilian companies. Logistics complexity. Supply chain management. Decision areas. Contingency approach.

Resumo

Este estudo tem como objetivo investigar se e os meios pelos quais os gestores da cadeia de suprimentos de empresas de grande porte adotam uma abordagem dependente do contexto (também chamada de abordagem de contingência) em suas decisões de cadeia de suprimentos, explorando empiricamente a correlação entre condições contextuais de complexidade relacionadas à logística e os objetivos e áreas de decisão do gerenciamento de cadeias de suprimento. O estudo envolve uma ampla revisão da literatura, seguida de uma análise dos dados da pesquisa (com base em uma amostra de 108 grandes empresas de manufatura no Brasil), utilizando análise de cluster, análise fatorial e regressão logística binária. Este estudo não só investiga os principais efeitos dos objetivos da cadeia de abastecimento e das áreas de decisão como previsores da complexidade logística e de produção, mas também as suas interações de segunda ordem. Foram encontradas relações estatisticamente significativas entre as condições contextuais de complexidade relacionadas à logística e os objetivos da cadeia de abastecimento e suas áreas de decisão: gerentes das grandes empresas pesquisadas percebem diferentes objetivos propostos e áreas de decisão como fundamentais para o alcance da excelência da cadeia de suprimentos quando sua empresa apresenta diferentes níveis de complexidade logística.

Palavras-chave

Empresas brasileiras. Complexidade logística. Gerenciamento de cadeia de suprimentos. Áreas de decisão. Abordagem contingencial

References



AFFONSO, R.; MARCOTTE, F.; GRABOT, B. Sales and operations planning: the supply chain pillar. Production Planning & Control, v. 19, n. 2, p. 132-141, 2008. http://dx.doi.org/10.1080/09537280801896144

AIKEN, L. S.; WEST, S. G. Multiple regression: Testing and interpreting interactions. London: Newbury Park Sage, 1991.

ANDERSON, M. G.; KATZ, P. B. Strategic sourcing. International Journal of Logistics Management, v. 9, n. 1, p. 1-13, 1998. http://dx.doi.org/10.1108/09574099810805708

BAKER, P. The design and operation of distribution centres within agile supply chains. International Journal of Production Economics, v. 111, n. 1, p. 27-41, 2008. http://dx.doi.org/10.1016/j.ijpe.2006.09.019

BALLOU, R. Unresolved issues in supply chain network design. Information Systems Frontiers, v. 3, n. 4, p. 417-426, 2001. http://dx.doi.org/10.1023/A:1012872704057

BARRATT, M.; OKE, A. Antecedents of supply chain visibility in retail supply chains: a resource-based theory perspective. Journal of Operations Management, v. 25, n. 6, p. 1217-1233, 2007. http://dx.doi.org/10.1016/j.jom.2007.01.003

BARTLETT, P. A.; JULIEN, D. M.; BAINES, T. S. Improving supply chain performance through improved visibility. International Journal of Logistics Management, v. 18, n. 2, p. 294-313, 2007. http://dx.doi.org/10.1108/09574090710816986

BHARADWAJ, N.; MATSUNO, K. Investigating antecedents and outcomes of customer firm transaction cost savings in supply chain relationship. Journal of Business Research, v. 59, n. 1, p. 62-72, 2006. http://dx.doi.org/10.1016/j.jbusres.2005.03.007

BLACKBURN, J. D. et al. Reverse Supply Chains for Commercial Returns. California Management Review, v. 46, n. 2, p. 6-22, 2004. http://dx.doi.org/10.2307/41166207

BLANKLEY, A. A conceptual model for evaluating the financial impact of SCM technology investments. International Journal of Logistics Management, v. 19, n. 2, p. 155-182, 2008. http://dx.doi.org/10.1108/09574090810895942

BLANKLEY, A.; KHOUJA, M.; WIGGINS, C. An investigation into the effect of full-scale SCM software adoptions on inventory balances/turns. Journal of Business Logistics, v. 29, n. 1, p. 201-224, 2008. http://dx.doi.org/10.1002/j.2158-1592.2008.tb00075.x

BOWER, P. How is your demand planning metabolism?. Journal of Business Forecasting, v. 26, n. 1, p. 18-20, 2007.

BOWERSOX, D. J.; CLOSS, D. J.; STANK, T. P. 21st Century Logistics: Making Supply Chain Integration a Reality. Oak Brook: Council of Logistics Management, 1999.

BOYSON, S. et al. Managing effective third party logistics relationships: What does it take?. Journal of Business Logistics, v. 20, n. 2, p. 73-100, 1999.

BOZARTH, C. C. et al. The impact of supply chain complexity on manufacturing plant performance. Journal of Operations Management, v. 27, n. 1, p. 78-93, 2009. http://dx.doi.org/10.1016/j.jom.2008.07.003

BROCK, G. et al. clValid: an R package for cluster validation. Journal of Statistical Software, v. 25, n. 4, p. 1-22, 2008.

BUTTER, F. A. G.; LINSE, K. A. Rethinking procurement in the era of globalization. MIT Sloan Management Review, v. 50, n. 1, p. 76-80, 2008.

CHAN, J. O. A conceptual model for operations-analytics convergence. Journal of American Academy of Business, v. 8, n. 1, p. 48-54, 2006.

CHOPRA, S.; MEINDL, P. Supply chain management: strategy, planning, and operation. Upper Saddle River: Prentice-Hall, 2004.

CHOW, G.; HEAVER, T.; HENRIKSSON, L. Strategy, structure and performance: a framework for logistics research. Logistics and Transportation Review, v. 31, n. 4, p. 285-308, 1995.

CHRISTENSEN, W. J.; GERMAIN, R. N.; BIROU, L. Variance vs. average: supply chain lead-time as a predictor of financial performance. Supply Chain Management: An International Journal, v. 12, n. 5, p. 349-357, 2007. http://dx.doi.org/10.1108/13598540710776926

CHRISTOPHER, M. Logistics & supply chain management. London: Prentice-Hall, 1998.

CHRISTOPHER, M.; PECK, H. Building the resilient supply chain. International Journal of Logistics Management, v. 15, n. 2, p. 1-14, 2004. http://dx.doi.org/10.1108/09574090410700275

CIGOLINI, R, COZZI, M.; PERONA, M. A new framework for supply chain management: Conceptual model and empirical test. International Journal of Operations and Production Management, v. 24, n. 1, p. 7-41, 2004. http://dx.doi.org/10.1108/01443570410510979

CLAASSEN, M. J. T.; WEELE, A. J.; RAAIJ, E. M. Performance outcomes and success factors of vendor managed inventory (VMI). Supply Chain Management: An International Journal, v. 13, n. 6, p. 406-414, 2008. http://dx.doi.org/10.1108/13598540810905660

COLLIN, J.; LORENZIN, D. Plan for supply chain agility at Nokia. International Journal of Physical Distribution & Logistics Management, v. 36, n. 6, p. 418-430, 2006. http://dx.doi.org/10.1108/09600030610677375

CORRÊA, H. L.; NOGUEIRA JUNIOR, D. General Motors Brazil - service parts. In: WISNER, J.; TAN, K.; LEONG, G. (Eds.). Principles of supply chain management. Cengage: Mason, 2008.

DATTA, S.; DATTA, S. Comparisons and validation of statistical clustering techniques for microarray gene expression data. Bioinformatics, v. 19, n. 4, p. 459-466, 2003. http://dx.doi.org/10.1093/bioinformatics/btg025

DEKKERS, R. Engineering management and the order entry point. International Journal of Production Research, v. 44, n. 18-19, p. 4011-4025, 2006. http://dx.doi.org/10.1080/00207540600696328

DOTOLI, M. et al. A multi-level approach for network design of integrated supply chains. International Journal of Production Research, v. 43, n. 20, p. 4267-4287, 2005. http://dx.doi.org/10.1080/00207540500142316

DRAZIN, R.; VAN DE VEN, A. H. Alternative forms of fit in contingency theory. Administrative Science Quarterly, v. 30, n. 4, p. 514-539, 1985. http://dx.doi.org/10.2307/2392695

ELLRAM, L. M.; LIU, B. The financial impact of supply management. Supply Chain Management Review, v. 6, n. 6, p. 30-37, 2002.

ERENGUC, S.; SIMPSON, S.; VAKHARIA, A. Integrated production/distribution planning in supply chains: an invited review. European Journal of Operational Research, v. 115, n. 2, p. 219-236, 1999. http://dx.doi.org/10.1016/S0377-2217(98)90299-5

FABER, N.; KOSTER, R.; VELDE, S. Linking warehouse complexity to warehouse planning and control structure. International Journal of Physical Distribution & Logistics Management, v. 32, n. 5, p. 381-395, 2002. http://dx.doi.org/10.1108/09600030210434161

FALISSARD, B. Package "psy". 2012. Disponível em: . >. Acesso em: 15 ago. 2012.

FARHOOMAND, A. F.; LOVELOCK, P.; NG, P. Dell: selling direct globally. Harvard Business Publishing, 2000.

FARRIS II, M. T.; HUTCHISON, P. D. Cash-to-cash: the new supply chain management metric. International Journal of Physical Distribution & Logistics Management, v. 32, n. 4, p. 288-299, 2002. http://dx.doi.org/10.1108/09600030210430651

FAWCETT, S. et al. Information sharing and supply chain performance. Supply Chain Management: An International Journal, v. 12, n. 5, p. 358-368, 2007. http://dx.doi.org/10.1108/13598540710776935

FEARNE, A.; FOWLER, N. Efficiency versus effectiveness in construction supply chains: the dangers of "lean" thinking in isolation. Supply Chain Management: An International Journal, v. 11, n. 4, p. 283-287, 2006. http://dx.doi.org/10.1108/13598540610671725

FEIGENBAUM, A. V. Total quality control. New York: McGraw-Hill, 2004.

FISHER, M. What is the right supply chain for your product?. Harvard Business Review, p. 83-93, Mar/Apr 1997.

FRANKEL, R. et al. The domain and scope of SCM's foundational disciplines. Journal of Business Logistics, v. 29, n. 1, p. 1-30, 2008. http://dx.doi.org/10.1002/j.2158-1592.2008.tb00066.x

GALBRETH, M. R.; HILL, J. A.; HANDLEY, S. An investigation of the value of cross-docking for supply chain management. Journal of Business Logistics, v. 29, n. 1, p. 225-240, 2008. http://dx.doi.org/10.1002/j.2158-1592.2008.tb00076.x

GAUDENZI, B.; BORGHESE, A. Managing risks in the supply chain using the AHP method. International Journal of Logistics Management, v. 17, n. 1, p. 114-136, 2006. http://dx.doi.org/10.1108/09574090610663464

GAUKLER, G. M.; ÖZER, O.; HAUSMAN, W. H. Order progress information: improved dynamic emergency ordering. Production and Operations Management, v. 17, n. 6, p. 599-613, 2008. http://dx.doi.org/10.3401/poms.1080.0066

GERMAIN, R.; DROGE, C. Just-in-time and context: Predictors of electronic data interchange technology adoption. International Journal of Physical Distribution & Logistics Management, v. 25, n. 2, p. 18-33, 1995. http://dx.doi.org/10.1108/09600039510080126

GERMAIN, R.; CLAYCOMB, C.; DRÖGE, C. Supply chain variability, organizational structure, and performance. Journal of Operations Management, v. 26, n. 5, p. 557-570, 2008. http://dx.doi.org/10.1016/j.jom.2007.10.002

GREEN, F. B. Managing the unmanageable: integrating the supply chain with new developments in software. Supply Chain Management: An International Journal, v. 6, n. 5, p. 208-211, 2001. http://dx.doi.org/10.1108/13598540110407741

GULLEDGE, T.; CHAVUSHOLU, T. Automating the construction of supply chain key performance indicators. Industrial Management & Data Systems, v. 109, n. 6, p. 750-774, 2008. http://dx.doi.org/10.1108/02635570810883996

GUNASEKARAN, A.; PATEL, C.; McGAUGHEY, R. A framework for supply chain performance measurement. International Journal of Production Economics, v. 87, n. 3, p. 333-348, 2004. http://dx.doi.org/10.1016/j.ijpe.2003.08.003

GUNASEKARAN, A.; PATEL, C.; TIRTIROGLU, E. Performance measures and metrics in a supply chain environment. International Journal of Production and Operations Management, v. 21, n. 1-2, p. 71-87, 2001. http://dx.doi.org/10.1108/01443570110358468

HAIR, J.; ANDERSON, R.; TATHAM, R. Multivariate data analysis. New York: Prentice Hall, 1998.

HANDFIELD, R. B.; NICHOLS, E. L. Introduction to supply chain management. Upper Saddle River: Prentice Hall, 1999.

HANDL, J.; KNOWLES, J.; KELL, D. B. Computational Cluster Validation in Post-Genomic Data Analysis. Bioinformatics, v. 21, n. 15, p. 3201-3212, 2005. PMid:15914541. http://dx.doi.org/10.1093/bioinformatics/bti517

HELMS, M.; ETTKIN, L.; CHAPMAN, S. Supply chain forecasting: collaborative forecasting supports supply chain management. Business Process Management, v. 6, n. 5, p. 392-407, 2000. http://dx.doi.org/10.1108/14637150010352408

HOFFER, A. R.; KNEMEYER, A. M. Controlling for logistics complexity: scale development and validation. International Journal of Logistics Management, v. 20, n. 2, p. 187-200, 2009. http://dx.doi.org/10.1108/09574090910981288

HOLMSTROM, J. et al. Collaborative Planning, Forecasting and Replenishment: new solutions needed for mass collaboration. Supply Chain Management: An International Journal, v. 7, n. 3, p. 136-145, 2002. http://dx.doi.org/10.1108/13598540210436595

HOOLE, R. 5 ways to simplify your supply chain. Supply Chain Management, v. 10, n. 1, p. 3-6, 2005. http://dx.doi.org/10.1108/13598540510578306

JACCARD, J.; TURRISI, R.; WAN, C. K. Interaction effects in multiple regression. Series Quantiative Applications in Social Sciences, n. 72, 1990.

JAIN, V.; BENYOUCEF, L.; DESHMUKH, S. G. What's the buzz about moving from 'lean' to 'agile' integrated supply chains?. International Journal of Production Research, v. 46, n. 23, p. 6649-6677, 2008. http://dx.doi.org/10.1080/00207540802230462

JOHNSON, M. Collaboration data modeling: CPFR implementation guidelines. CLM, 1999.

JONES, D.; WOMACK, J. Seeing the whole: mapping the extended value stream.Cambridge: The Lean Enterprise Institute, 2003.

KAIPIA, R.; HOLMSTRÖM, J. Selecting the right planning approach for a product. Supply Chain Management: An International Journal, v. 12, n. 1, p. 3-13, 2007. http://dx.doi.org/10.1108/13598540710724347

KADIYALA, R.; KLEINER, B. H. New developments concerning business information systems. Management Research News, v. 28, n. 11-12, p. 164-170, 2005. http://dx.doi.org/10.1108/01409170510785354

KHADAR, S. A. VMI program improves forecasting & supply chain - Arasco´s case study. The Journal of Business Forecasting, v. 26, n. 3, p. 29-32, 2007.

KIRCHE, E.; NADIPASAOGLU, S.; KHUMAWALA, B. Maximizing supply chain profits with effective order management. International Journal of Production Research, v. 43, n. 7, p. 1297-1311, 2005. http://dx.doi.org/10.1080/00207540412331299648

KLEINBAUM, D. G. et al.Applied regression analysis and other multivariable methods. Pacific Grove: Duxbury, 1998.

KOK, T. et al. Philips electronics synchronizes its supply chain to end the bullwhip effect. Interfaces, v. 35, n. 1, p. 37-48, 2005. http://dx.doi.org/10.1287/inte.1040.0116

KUEI, C. H. et al. Supply chain quality and excellence in the new economy. Multinational Business Review, v. 13, n.1, p. 33-53, 2005.

LEE, H. L. Aligning supply chain strategies with product uncertainties. California Management Review, v. 44, n. 3, p. 105-119, 2002. http://dx.doi.org/10.2307/41166135

LEE, H. L. The Triple-A Supply Chain. Harvard Business Review, p. 1-12, Oct 2004.

LEE, H. L.; PADMANABHAN, V.; WHANG, S. The bullwhip effect in supply chains. Sloan Management Review, v. 38, n. 3, p. 93-102, 1997.

LI.; D.; O'BRIEN, C. A quantitative analysis of relationships between product types and supply chain strategies. International Journal of Production Economics, v. 73, n. 1, p. 29-39, 2001. http://dx.doi.org/10.1016/S0925-5273(01)00094-9

LIU, J. J. et al. Performance improvement of third-party logistics providers. International Journal of Technology Management, v. 42, n. 3, p. 226-249, 2008. http://dx.doi.org/10.1504/IJTM.2008.018105

LOWSON, R. H. Operational management and operations strategies: an SME perspective. International Journal of Procurement Management, v. 1, n. 1-2, p. 180-209, 2007.

MAINDONALD, J. H.; BRAUN, J. W. Data Analysis and Graphics Using R - An Example-Based Approach. 3rd ed. Cambridge: Cambridge Series in Statistical and Probabilistic Mathematics, 2010.

MARTIN, J. W. Lean six sigma for SCM. New York: McGraw-Hill, 2007.

MASON, S. J. et al. Integrating the warehousing and transportation functions of the supply chain. Transportation Research Part E: Logistics and Transportation Review, v. 39, n. 2, p. 141-159, 2003. http://dx.doi.org/10.1016/S1366-5545(02)00043-1

MASSON, R. et al. Managing complexity in agile global fashion industry supply chains. International Journal of Logistics Management, v. 18, n. 2, p. 238-254, 2007. http://dx.doi.org/10.1108/09574090710816959

MASTERS, J. et al. On the adoption of DRP. Journal of Business Logistics, v. 13, n. 1, p. 47-67, 1992.

MATHEWS, R. ECR: more promise than performance?. Progressive Grocer Annual Report, p. 26-28, Apr 1997.

MEHRA, S.; INMAN, R. A. Purchasing management and business competitiveness in the coming decade. Production Planning & Control, v. 15, n. 7, p. 710-718, 2004. http://dx.doi.org/10.1080/09537280412331298247

MENTZER, J. T.; FLINT, D. J. Validity in logistics research. Journal of Business Logistics, v. 18, n. 1, p. 199-216, 1997.

MENTZER, J. T. et al. Defining supply chain management. Journal of Business Logistics, v. 22, n. 2, p. 18-31, 2001. http://dx.doi.org/10.1002/j.2158-1592.2001.tb00001.x

MIEMCZYK, J.; HOWARD, M. Supply strategies for build-to-order: managing global auto operations. Supply Chain Management: An International Journal, v. 13, n. 1, p. 3-8, 2008. http://dx.doi.org/10.1108/13598540810850265

MILGATE, M. Supply chain complexity and delivery performance: an international exploratory study. Supply Chain Management: An International Journal, v. 6, n. 3, p. 106-18, 2001. http://dx.doi.org/10.1108/13598540110399110

MONCZKA, R.; TRENT, R.; HANDFIELD, R. Purchasing and supply chain management. Cincinnati: South-Western College Publishing, 1998.

NILSSON, F. Logistics management in practice - towards theories of complex logistics. International Journal of Logistics Management, v. 17, n. 1, p. 38-54, 2006. http://dx.doi.org/10.1108/09574090610663428

NONINO, F.; PANIZZOLO, R. Integrated production/distribution planning in the supply chain: the Febal case study. Supply Chain Management: An International Journal, v. 12, n. 2, p. 150-163, 2007. http://dx.doi.org/10.1108/13598540710737334

NUTHALL, L. Supply chain performance measures and systems. In: GATTORNA, J.; OGULIN, R.; REYNOLDS, M. (Eds.). Gower handbook of SCM. Burlington: Gower Publisher, 2003.

PARK, Y. B. An integrated approach for production and distribution planning in supply chain management. International Journal of Production Research, v. 43, n. 6, p. 1205-1224, 2005. http://dx.doi.org/10.1080/00207540412331327718

PFOHL, H. C.; ZOLLNER, W. Organization for logistics: the contingency approach. Journal of Physical Distribution & Logistics Management,27, 306-319, 1997. http://dx.doi.org/10.1108/09600039710175895

POHLEN, T. L.; COLEMAN, B. J. Evaluating internal operations and supply chain performance using EVA and ABC. SAM Advanced Management Journal, v. 70, n. 2, p. 45-58, 2005.

RAMDAS, K.; SPEKMAN, R. E. Chain or Shackles: understanding what drives supply chain performance. Interfaces, v. 30, n. 4, p. 3-21, 2000. http://dx.doi.org/10.1287/inte.30.4.3.11644

RAO, K.; YOUNG, R. R. Global supply chains: factors influencing outsourcing of logistics functions. Journal of Physical Distribution & Logistics Management, v. 24, n. 6, p. 11-20, 1994. http://dx.doi.org/10.1108/09600039410066141

RAYKOV, T. Evaluation of convergent and discriminant validity with multitrait-multimethod. British Journal of Mathematical and Statistical Psychology, 2012. Disponível em: . Acesso em: 15 ago. 2012.

RENDÓN, E. et al. Internal versus external cluster validation indexes. International Journal of Computers and Communications, v. 5, n. 1, p. 27-34, 2011.

RODRIGUES, A. M.; STANK, T. P.; LYNCH, D. F. Linking strategy, structure, process, and performance in integrated logistics. Journal of Business Logistics, v. 25, n. 2, p. 65-94, 2004. http://dx.doi.org/10.1002/j.2158-1592.2004.tb00182.x

RODRIGUEZ, R. et al. Collaborative Forecasting Management: fostering creativity within the meta value chain context. Supply Chain Management: An International Journal, v. 13, n. 5, p. 366-374, 2008. http://dx.doi.org/10.1108/13598540810894951

SAHAY, B. S.; GUPTA, J. N. D.; MOHAN, R. Managing supply chains for competitiveness: the Indian scenario. Supply Chain Management: An International Journal, v. 11, n. 1, p. 15-24, 2006. http://dx.doi.org/10.1108/13598540610642439

SAHAY, B. S.; RANJAN, J. Real time business intelligence in supply chain analytics. Information Management & Computer Security, v. 16, n. 1, p. 28-48, 2008. http://dx.doi.org/10.1108/09685220810862733

SEBASTIÃO, H. J.; GOLICIC, S. Supply chain strategy for nascent firms in emerging technology markets. Journal of Business Logistics, v. 29, n. 1, p. 75-91, 2008. http://dx.doi.org/10.1002/j.2158-1592.2008.tb00069.x

SHARMA, M. K.; BHAGWAT, R. An integrated BSC-AHP approach for supply chain management evaluation. Measuring Business Excellence, v. 11, n. 3, p. 57-68, 2007. http://dx.doi.org/10.1108/13683040710820755

SHEFFI, Y.; RICE JUNIOR, J. B. A supply chain view of the resilient enterprise. MIT Sloan Management Review, v. 47, n. 1, p. 41-48, 2005.

SIMCHI-LEVY, D.; KAMINSKI, P.; SIMCHI-LEVY, E. Designing and managing the supply chain: concepts, strategies and case studies. New York: McGraw-Hill, 2003.

SKIPWORTH, H.; HARRISON, A. Implications of form postponement to manufacturing a customized product. International Journal of Production Research, v. 44, n. 8, p. 1627-1652, 2006. http://dx.doi.org/10.1080/00207540500362120

SOUSA, R.; VOSS, C. Contingency research in operations management practices. Journal of Operations Management, v. 26, n. 6, p. 697- 713, 2008. http://dx.doi.org/10.1016/j.jom.2008.06.001

STEFANSSON, G.; LUMSDEN, K. Performance issues of smart transportation management systems. International Journal of Productivity and Performance Management, v. 58, n. 1, p. 55-70, 2009. http://dx.doi.org/10.1108/17410400910921083

STEIGER, J. Confirmatory factor analysis with R. 2012. Disponível em: . Acesso em: 15 ago. 2012.

STONEBRAKER, P. W.; LIAO, J. Supply chain integration: exploring product and environmental contingencies. Supply Chain Management: An International Journal, v. 11, n. 1, p. 34-44, 2006. http://dx.doi.org/10.1108/13598540610642457

SWAFFORD, P.; GHOSH, S.; MURTHY, N. Achieving supply chain agility through IT integration and flexibility. International Journal of Production Economics, v. 116, n. 2, p. 288-297, 2008. http://dx.doi.org/10.1016/j.ijpe.2008.09.002

SWAMINATHAN, J. M.; TOMLIN, B. How to Avoid the Risk Management Pitfalls. Supply Chain Management Review, v. 11, n. 5, p. 34-42, 2007.

TABACHNICK, B. G.; FIDELL, L. S. Using multivariate statistics. Boston: Allyn and Bacon, 2001.

TANG, C.; TOMLIN, B. The power of flexibility for mitigating supply chain risks. International Journal of Production Economics, v. 116, n. 1, p. 12-27, 2008. http://dx.doi.org/10.1016/j.ijpe.2008.07.008

TRENT, R. J.; MONCZKA, R. M. Achieving excellence in global sourcing. Sloan Management Review, v. 47, n. 1, p. 24-32, 2005.

TSAI, C. Y. On supply chain cash flow risks. Decision Support Systems, v. 44, n. 4, p. 1031-1042, 2008. http://dx.doi.org/10.1016/j.dss.2007.12.006

VACHON, S.; KLASSEN, R. An exploratory investigation of the effects of supply chain complexity on delivery performance. IEEE Transactions on Engineering Management, v. 49, n. 3, p. 218-230, 2002. http://dx.doi.org/10.1109/TEM.2002.803387

VERGIN, R. C.; BARR, K. Building competitiveness in the grocery supply chain through continuous replenishment planning. Industrial Marketing Management, v. 28, n. 2, p. 145-153, 1999. http://dx.doi.org/10.1016/S0019-8501(98)00010-8

VOSS, C. Alternative paradigms for manufacturing strategy. International Journal of Operations and Production Management, v. 15, n. 4, p. 5-16, 1995. http://dx.doi.org/10.1108/01443579510083587

WALLER, M.; JOHNSON, M. VMI in the retail supply chain. Journal of Business Logistics, v. 20, n. 1, p. 183-198, 1999.

WANG, S.; LIU, S.; WANG, W. The simulated impact of RFID-enabled supply chain on pull-based inventory replenishment in TFT-LCD industry. International Journal of Production Economics, v. 112, n. 2, p. 570-586, 2008. http://dx.doi.org/10.1016/j.ijpe.2007.05.002

WANKE, P. F.; ZINN, W. Strategic logistics decision making. International Journal of Physical Distribution & Logistics Management, v. 34, n. 6, p. 466-478, 2004. http://dx.doi.org/10.1108/09600030410548532

WANKE, P.; ARKADER, R.; RODRIGUES, A. A study into the impacts on retail operations performance of key strategic supply chain decisions. International Journal of Simulation and Process Modeling, v. 4, n. 2, p. 106-118, 2008. http://dx.doi.org/10.1504/IJSPM.2008.022072

WISNER, J. D.; TAN, K. C.; LEONG, G. K. Principles of supply chain management: a balanced approach. Manson: Cengage, 2008.

WOMACK, J.; JONES, D. T.; ROOS, D. The machine that changed the world: the story of lean production. New York: Free Press, 1990.

WREN, D. A. The evolution of management thought. New York: Wiley, 1994.

WU, J.; XIONG, H.; CHEN, J. Adapting the right measures for K-means clustering. In: ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 15., 2009, New York. Proceedings... New York: ACM, 2009. p. 877-886.

YEUNG, K. Y.; HAYNOR, D. R.; RUZZO, W. L. Validating clustering for gene expression data. Bioinformatics, v. 17, n. 4, p. 309-318, 2001. http://dx.doi.org/10.1093/bioinformatics/17.4.309
5883a4467f8c9da00c8b486e production Articles
Links & Downloads

Production

Share this page
Page Sections