Determinação de métricas e mapeamento de riscos para a análise de cadeias de suprimentos enxutas
Keywords:
Cadeia de suprimentos, Lean, Análise de riscoAbstract
Considerado fundamental para o controle e a manutenção dos negócios, as métricas de risco respondem pela dimensão mínima do investimento, bem como pela percepção da performance das operações. A correta determinação do que deve ser analisado torna-se fundamental na administração de cadeias de suprimentos, nas tomadas de decisão e em especial na formulação de medidas mitigadoras. No estudo, foi realizada uma pesquisa através de uma revisão bibliográfica, visando extrair os principais elementos, variáveis e parâmetros que compõem as funções analíticas de gestão, assim como uma primeira abordagem de mapeamento de riscos em cadeias de suprimentos baseado em processos - chave. Como principais resultados da pesquisa podem ser citados, a criação de uma proposta de mapeamento de riscos baseada nos processos do GSCF (Global Supply Chain Forum) que servem para evidenciar os riscos inerentes a sistemas produtivos e cadeias de suprimentos enxutas.References
ARADHYE, A.S. e KALLURKAR, S.P., A Case Study of Just-In-Time System in Service Industry, Procedia Engineering, V.97,pp. 2232–37, 2014.
AGARWAL, A.; SHANKAR, R. e TIWARI; M. K. Modeling the metrics of lean, agile and leagile supply chain: an ANP-based approach. European Journal of operation Research, n. 173, 2006.
AlHASHIM, D. D. Internal performance evaluation in American multinational enterprises. Management International Review, n.3, V. 20, 1980.
ANTUNES Jr, J. A. V. Em direção a uma teoria geral do processo na administração da produção: uma discussão sobre a possibilidade de unificação da Teoria das Restrições e da teoria que sustenta a construção dos Sistemas de Produção com Estoque Zero. Tese D.Sc., PPGA/UFRGS, Porto Alegre, RS, Brasil, 1998.
BARRY, J. Perspectives: supply chain risk in an uncertain global supply chain environment. International Journal of physical Distribution & Logistics Management, n.9, V.34, 2004.
BLOME, C.; SCHOENHERR, T. Supply chain risk management in financial crises – A multiple case-study approach. International Journal of Production Economics, n. 1, V.134, 2011.
BLOS, M. F., QUADDUS, M., WEE, H.M e WATANABE, K. Supply chain risk management (SCRM): a case study on the automotive and electronic industries in Brazil. Supply Chain Management: An International Journal, V. 14 n. 4 pp. 247 – 252, 2009
CHENG, T. C. E; YIP, F. K.; YEUNG, A. C. L. Supply risk management via guanxi in the Chinese business context: The buyer’s perspective. International Journal of Production Economics, V. 139, n.1 , 2012.
CHOPRA, S.; SODHI, M. S. Managing risk to avoid supply-chain breakdown. MIT Sloan Management Review, V. 46, n. 1, 2004.
CHRISTOPHER, M. Logistics & Supply Chain Management, Pitmans, London, UK. 1992
CROXTON, K.; DASTUGUE, S.; LAMBERT, D. e ROGERS, Dale. (2001). The Supply Chain Management Processes. The International Journal of Logistics Management. V. 12, n. 2, pp.13-16.
CRUZ, J. M. e WAKOLBINGER, T. Multiperiod effects of corporate social responsibility on supply chain networks, transaction costs, emissions, and risk. International Journal of Production Economics, V. 116, n.1, 2008
ERNEST & YOUNG. Transfer pricing: 1999 global survey. Ernest & Young International, Ltd.
GOLDRATT, E. A meta. Editora Nobel, 2014.
GUNASEKARAN, A.; PATEL, C. e TIRTIROGLU, E. Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, V. 21, n.1-2, 2001.
HAMMER, M. A Agenda: O que as empresas devem fazer para dominar esta década. 3ª ed. Rio de Janeiro: Campus, 2001
HUANG, Yu-Ying, LI, Shyh-Jane. (2010). How to achieve leagility: A case study of a personal computer original equipment manufacturer in Taiwan. Journal of Manufacturing Systems. v. 29, n. (2-3), p.63–70.
JÜTTNER, U. Supply chain risk management: Understanding the business requirements from a practitioner perspective, International Journal of Logistics Management, V. 16, 2005
JÜTTNER, U., PECK, H., e CHRISTOPHER, M. Supply chain risk management: outlining an agenda for future research. International Journal of Logistics, V.6, n. 4, 2003.
KHAN, Omera; CHRISTOPHER, Martin; BURNES, Bernard. (2008) The impact of product design on supply chain risk: a case study. International Journal of Physical Distribution & Logistics Management, V. 38, n.5, 2008.
KNILL, B. How lean manufacturing matches today’s business. Handling Engineering, V.11, n. 54, 1999.
KOGUT, B. e KULATILAKA, N. Operating flexibility, global manufacturing, and the option value of a multinational network. Management Science, n. 1, V. 40, 1994.
KOJIMA, M. Performance evaluation of SCM in JIT environment, Int. J. Production Economics, V.115, 2008, pp.439– 443
KU, C. e CHANG, Y. Optimal production and selling policies with fixed-price contracts and contingent-price offers. International Journal of Production Economics, V. 137, n.1, 2012.
LI, Z., KUMAR, A. e LIN, Y. G. Supply Chain Modelling – A co-ordination approach. Integrated Manufacturing Systems, 2002.
MANUJ, I. e MENTZER, J. T. Global supply chain risk management strategies. International Journal of Physical Distribution & Logistics Management, V. 38, n.3, 2008.
MATSUI, K. Cost-based transfer pricing under R&D risk aversion in an integrated supply chain. International Journal of Production Economics, V. 139, n.1, 2012.
MELAO, N. e PIDD, M. Business processes and business process modelling. In: Information Systems Journal, n.10, V.2, 2000.
NAYLOR, B.; NAIM, M. e BERRY, D. (1999). Leagility: interfacing the lean and agile manufacturing paradigm in the total supply chain. International. Journal of Production Economics. V. 62, n.1, pp.107–118.
NEIGER, D., ROTARU, K. e CHURILOV, L. Supply chain risk identification with value-focused process Engineering Journal of Operations Management, Journal of Operations Management, V.27 pp. 154–168, 2009.
NORMAN, A. e JANSSON, U. Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident. International Journal of Physical Distribution & Logistics Management V. 34, n.5, 2004.
PFOHL, H.; GALLUS, P. e THOMAS, David. Interpretive structural modeling of supply chain risks. International Journal of Physical Distribution & Logistics Management, V. 41, n.9, 2011.
PISHVAEE, M. S.; KIANFAR, K. e KARIMI, B. Reverse logistics network design using simulated annealing. International Journal of Advanced Manufacturing Technology, n. 47, 2010.
RAHMAN, S.U. The theory of constraints` thinking process approach to developing strategies in supply chains. International Journal of Physical and distribution Logistics Management. V. 32, n. 10, 2002
SCHMITT, A. J. e SINGH, M. A quantitative analysis of disruption risk in a multi-echelon supply chain. International Journal of Production Economics, V.139, n.1, 2012.
SENNA, P.; PINHO, B. e MIRANDA G. Concepção de métodos baseado na Engenharia de processos de negócios para análise de cadeia de suprimentos. Enegep 2011.
SHIN, K.; SHIN, Y.; KWON, J. e KANG, S. Development of risk based dynamic backorder replenishment planning framework using Bayesien Belief Network. Computers & Industrial Engineering,V.62, n.3, 2012.
SIMON, A. T. Uma metodologia para avaliação do grau de aderência das empresas a um modelo conceitual de gestão da cadeia de suprimentos. Tese de doutorado, PPGEP-UNIMEP,2005.
SODHI, M. S. e TANG, C. S. Modeling supply-chain planning under demand uncertainty using stochastic programming: A survey motivated by asset liability management. International Journal of Production Economics, V.121,n.2, 2009.
SUKATI, I., HAMID, A.B.; BAHARUN, R. e YUSOFF, R. M., 2012. The Study of Supply Chain Management Strategy and Practices on Supply Chain Performance. Procedia - Social and Behavioral Sciences. V. 40, p.225–233.
TANG, C. S. Perspectives in supply chain risk management. International Journal of Production Economics, V.132, n.2, Issue 2, 2006.
TANG, O. e MUSA, S. N., Identifying Risk Issues and Research Advancements in Supply Chain Risk Management. International Journal of Production Economics, V. 133, pp 25-34, 2011
THUN, J. e HOENIG, D. An Empirical Analysis of Supply Chain Risk Management in the German Automotive Industry, International Journal of Production Economics V. 131, 2011.
TRKMAN, P.; MCCORMACK, K. Supply Chain risk in turbulent environments – A conceptual model for managing supply network risk. International Journal of Production Economics, V.119, n.2, 2009.
TSE, Y. K. e TAN, K. H. Managing product quality risk and visibility in multi-layer supply chain. International Journal of Production Economics, V. 139, n.1, 2012.
VILKO, J. P. e HALLIKAS, J.M. Risk assessment in multimodal supply chains. International Journal of Production Economics, V. 140, n. 2, 2012.
WASIL, Edward A.; GOLDEN, Bruce L. Celebrating 25 of AHP-based decision making. Computers & Operations Research, V.10, n. 30, 2003.
WU, D. e OLSON, D. L. Supply chain risk, simulation, and vendor selection. International Journal of Production Economics, V. 114, n.2, 2008.
WU, J.; WANG, S.; CHAO, X.; NG, C. T. e CHENG, T. C. E. Impact of risk aversion on optimal decisions in supply contracts. International Journal of Production Economics, V.128, n.2, 2010.
ZSIDISIN, G. A. e ELLRAM, L. M. An Agency Theory Investigation of Supply Risk Management. Journal of Supply Chain Management, V. 39, n.2, 2003.
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