Towards an adapted lean system – a push-pull manufacturing strategy

References

• Armstrong, J. S. 2001. Evaluating forecasting methods in Armstrong J.S. Principles of forecasting - a handbook for researchers and practicionners. Norwell, MA: Kluwer Academic Press.
   Google Scholar
• Ball, M.O., Chen, C.Y., & Zhao, Z-Y.(2004). Available to Promise. In Simchi-Levi, D., David Wu, S., & Shen, M. (Eds.), Handbook of quantitative supply chain analysis - modeling in the e-Business Era (pp. 1–2). Boston: Kluwer Academic Publishers
   Google Scholar
• Bouchon-Meunier, B. 1995. La Logique Floue et ses Applications. France, Paris: Addison-Wesley.
   Google Scholar
• Boyer, R., and M. Freyssenet. 2002. The productive models. The conditions of profitability, Londres. New York, NY: Palgrave.
   Google Scholar
• Boyer, R., E. Charron, U. Jürgens, and S. Tolliday. 1998. Between Imitation and Innovation: The Transfer and Hybridization of Productive Models in the International Automobile Industry. Oxford: Oxford University Press.
   Google Scholar
• Boyer, R., et al. 1998. Between imitation and innovation: the transfer and hybridization of productive models in the international automobile industry. Oxford: Oxford University Press.
   Google Scholar
• Cigolini, R., and T. Rossi. 2008. “Evaluating supply chain integration: a case study using fuzzy logic.” Production Planning & Control 19(3): 242–255.
   Web of Science ®Google Scholar
• Deschrijver, G. 2011. “Triangular norms which are meet-morphisms in interval-valued fuzzy set theory.” Fuzzy Sets and Systems 181: 88–101.
   Web of Science ®Google Scholar
• Dinesh, S., and G. Vaibhav. 2005. “Application of value stream mapping for lean operations and cycle time reduction: an Indian case study.” Production Planning and Control 16(1): 44–59.
   Web of Science ®Google Scholar
• Drew, J., B. McCallum, and S. Rogenhoffer. 2004. Journey to Lean: Making Operational Change Stick. Palgrave Macmillan.
   Google Scholar
• Driankov, D., H. Hellendoorn, and M. Reinfrank. 1996. An Introduction to Fuzzy Control. Springer-Verlag.
   Google Scholar
• Erlenkotter, D. 1989. “An early classic misplaced: Ford W. Harris’s economic order quantity model of 1913.” Management Science 35(7): 898–900.
   Web of Science ®Google Scholar
• Fildes, R., P. Goodwin, M. Lawrence, and K. Nikolopoulos. 2009. “Effective forecasting and judgmental adjustments: An empirical evaluation and strategies for improvement in supply-chain planning.” International Journal of Forecasting 25(1): 3–23.
   Web of Science ®Google Scholar
• Goldratt, E., 2006. The goal, Highbridge Audio.
   Google Scholar
• Hicks, B. J. 2007. “Lean information management: understanding and eliminating waste.” International Journal Of Information Management 27(4): 233–249.
   Web of Science ®Google Scholar
• Javel, G. 2003. Pratique de la gestion industrielle: organisation, méthodes et outils. Paris:Dunod.
   Google Scholar
• Kahraman, C., and M. Yavuz. 2010. Production engineering and management under fuzziness. Belin: Springer.
   Google Scholar
• Lyonnet, B., M. Pillet, and M. Pralus. 2010. “Lean manufacturing in the screw cutting sector: assessment of maturity level.” International Journal of Rapid Manufacturing 1(3): 256–277.
   Google Scholar
• McMullen, T. 1997. Introduction to the Theory of Constraints. Boca Raton, FL: St. Lucie Press .
   Google Scholar
• Mentzer, J. T., and M. A. Moon. 2005. Sales forecasting management: a demand management approach. Thousand oaks Sage.
   Google Scholar
• Niazi, A., J. S. Dai, S. Balabani, and L. Seneviratne. 2006. “Product Cost Estimation: Technique Classification and Methodology Review.” Journal of Manufacturing Science and Engineering 128(2): 563–576.
   Web of Science ®Google Scholar
• Ohno, T. 1988. Toyota Production System: Beyond Large-Scale Production. Productivity Press.
   Google Scholar
• Sanders, N. R., and K. B. Manrodt. 2003. “The efficacy of using judgmental versus quantitative forecasting methods in practice.” Omega 31(6): 511–522.
   Web of Science ®Google Scholar
• Sangwan, K., and R. Kodali. 2004. “Fuzzy part family formation for cellular manufacturing systems.” Production Planning & Control 15(3): 292–302.
   Web of Science ®Google Scholar
• Shah, R., and P. T. Ward. 2007. “Defining and developing measures of lean production.” Journal of Operations Management 25(4): 785–805.
   Web of Science ®Google Scholar
• Silver, E. A., and H. A. Meal. 1973. “A heuristic for selecting lot size requirements for the case of a deterministic time varying demand rate with discrete opportunities for replenishment.” Production and Inventory Management Journal 14(2): 64–74.
   Google Scholar
• Tang, J., D. Wang, and R. Y. K. Fang. 2000. “Fuzzy formulation for multi-product aggregate production planning.” Production Planning & Control 11(7): 670–676.
   Web of Science ®Google Scholar
• Wagner, H. M., and T. M. Whitin. 1958. “Dynamic Version of the Economic Lot Size Model.” Management Science 5(1): 89–96.
   Web of Science ®Google Scholar
• Wang, X. F. 2008. “Fuzzy number intuitionistic fuzzy geometric aggregation operators and their application to decision making.” Control and decision 23(6): 607–612.
   Google Scholar
• Womack, J., and D. Jones. 2003. Lean Thinking: Banish Waste and Create Wealth in Your Corporation. New York:Free Press.
   Google Scholar
• Zhao, Z. Y., M. O. Ball, and M. Kotake. 2005. “Optimization based available to promise with multi-stage resource availability.” Annals of Operations Research 135(1): 65–85.
   Web of Science ®Google Scholar