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Managing Demand Through the Enablers of Flexibility: The Impact of Forecasting and Process Flow Management

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Abstract

In recent years increased attention has been paid to integrated demand and supply chain management. The present research study discusses the main concept in this context, i. e., flexibility. In particular, we have learned from existing research work, that is difficult to link the construct “flexibility” with performance (efficiency as well as effectiveness). Therefore, we analyzed important enablers of flexibility. Based on our conceptual flexibility framework, we discussed the impact of layout, process flow management as well as the forecasting performance (error). Our results provided some interesting insights. In particular, only process flow management is linked with effectiveness as well as efficiency performance. On the other hand, layout as well as forecasting performance, is only linked with efficiency. These results demonstrate that, e. g., forecasting is not directly linked with external results like customer satisfaction. Based on these results it is possible to motivate further research activities that should investigate these complex relationships more in detail.

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References

  • Cachon GP, Fisher ML (2000) Supply chain inventory management and the value of shared information. Management Science 46(8):1032–1048

    Article  Google Scholar 

  • Chase C (1999) Sales forecasting at the dawn of the new millennium? Journal of Business Forecasting Methods and Systems 18:2–2

    Google Scholar 

  • Dalrymple D (1987) Sales forecasting practices: Results from a United States survey. International Journal of Forecasting 3(3):379–91

    Article  Google Scholar 

  • Das A (2001) Towards theory building in manufacturing flexibility. International journal of production research 39(18):4153–4177

    Article  MATH  Google Scholar 

  • Enns S (2002) MRP performance effects due to forecast bias and demand uncertainty. European Journal of Operational Research 138(1):87–102

    Article  MATH  Google Scholar 

  • Fisher M, Raman A (1996) Reducing the cost of demand uncertainty through accurate response to early sales. Operations Research 44(1):87–99

    Article  MATH  Google Scholar 

  • Gefen D, Straub D, Boudreau M (2000) Structural equation modeling and regression: Guidelines for research practice. Structural Equation Modeling 4(7)

    Google Scholar 

  • Goddard W (1989) Lets scrap forecasting. Modern Materials Handling 39:39

    Google Scholar 

  • Gupta Y, Somers T (1996) Business strategy, manufacturing flexibility, and organizational performance relationships: a path analysis approach. Production and Operations Management 5(3):204–233

    Google Scholar 

  • Hallgren M, Olhager J (2009) Flexibility configurations: Empirical analysis of volume and product mix flexibility. Omega 37(4):746–756

    Article  Google Scholar 

  • Hanssens D, Parsons L, Schultz R (2003) Market response models: Econometric and time series analysis. Kluwer Academic Publishers

    Google Scholar 

  • Ho C, Tai Y, Tai Y, Chi Y (2005) A structural approach to measuring uncertainty in supply chains. International Journal of Electronic Commerce 9(3):91–114

    Google Scholar 

  • Hu L, Bentler P (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling 6(1):1–55

    Article  Google Scholar 

  • Jack E, Raturi A (2002) Sources of volume flexibility and their impact on performance. Journal of Operations Management 20(5):519–548

    Article  Google Scholar 

  • Jammernegg W, Reiner G (2007) Performance improvement of supply chain processes by coordinated inventory and capacity management. International Journal of Production Economics 108(1-2):183–190

    Article  Google Scholar 

  • Kalchschmidt M, Zotteri G (2007) Forecasting practices: empirical evidence and a framework for research. International Journal of Production Economics 108:84–99

    Article  Google Scholar 

  • Kalchschmidt M, Zotteri G, Verganti R (2003) Inventory management in a multiechelon spare parts supply chain. International Journal of Production Economics 81:397–413

    Article  Google Scholar 

  • Kara S, Kayis B (2004) Manufacturing flexibility and variability: an overview. Journal of Manufacturing Technology Management 15:466–478

    Article  Google Scholar 

  • Ketokivi M (2006) Elaborating the contingency theory of organizations: The case of manufacturing flexibility strategies. Production and Operations Management 15(2):215–228

    Google Scholar 

  • Koste L, Malhotra M (1999) A theoretical framework for analyzing the dimensions of manufacturing flexibility. Journal of Operations Management 18(1):75–93

    Article  Google Scholar 

  • Lee H (2002) Aligning supply chain strategies with product uncertainties. California Management Review 44(3):105–119

    Google Scholar 

  • Lee H, Tang C (1997) Modelling the costs and benefits of delayed product differentiation. Management science 43(1):40–53

    Article  MATH  Google Scholar 

  • Mahmoud E, Rice G, Malhotra N (1988) Emerging issues in sales forecasting and decision support systems. Journal of the Academy of Marketing Science 16(3):47–61

    Article  Google Scholar 

  • Mentzer J, Bienstock C (1998) Sales forecasting management. Sage Beverley Hills, CA

    Google Scholar 

  • Nunnally J, Bernstein I (1994) Psychometric theory. New York, NY

    Google Scholar 

  • Pagell M, Krause D (1999) A multiple-method study of environmental uncertainty and manufacturing flexibility. Journal of Operations Management 17(3):307–325

    Article  Google Scholar 

  • Podsakoff P, MacKenzie S, Lee J, Podsakoff N (2003) Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology 88(5):879–903

    Article  Google Scholar 

  • Reichhart A, Holweg M (2007) Creating the customer-responsive supply chain: a reconciliation of concepts. International Journal of Operations & Production Management 27(11):1144–1172

    Article  Google Scholar 

  • Ritzman L, King B (1993) The relative significance of forecast errors in multistage manufacturing. Journal of Operations Management 11(1):51–65

    Article  Google Scholar 

  • Slack N (1987) The flexibility of manufacturing systems. International Journal of Operations & Production Management 7(4):35 – 45

    Article  Google Scholar 

  • Slack N (2002) Operations Strategy. Prentice Hall

    Google Scholar 

  • Stevenson M, Spring M (2007) Flexibility from a supply chain perspective: definition and review. International Journal of Operations & Production Management 27(7):685–713

    Article  Google Scholar 

  • Suarez F, Cusumano M, Fine C (1996) An empirical study of manufacturing flexibility in printed circuit board assembly. Operations Research 44(1):223–240

    Article  MATH  Google Scholar 

  • Swamidass P, Newell W (1987) Manufacturing strategy, environmental uncertainty and performance: a path analytic model. Management Science 33(4):509–524

    Article  Google Scholar 

  • Tallon W (1993) The impact of inventory centralization on aggregate safety stock: the variable supply lead time case. Journal of Business Logistics 14:185–185

    Google Scholar 

  • Upton D (1994) The management of manufacturing flexibility. California Management Review 36(2):72–89

    Google Scholar 

  • Vokurka R, O’Leary-Kelly S (2000) A review of empirical research on manufacturing flexibility. Journal of Operations Management 18(4):485–501

    Article  Google Scholar 

  • Vollmann T, Berry W, Whybark D (1992) Manufacturing planning and control systems

    Google Scholar 

  • Zhang Q, Vonderembse M, Lim J (2002) Value chain flexibility: a dichotomy of competence and capability. International Journal of Production Research 40(3):561–583

    Article  MATH  Google Scholar 

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© 2009 Springer London

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Kalchschmidt, M., Nieto, Y., Reiner, G. (2009). Managing Demand Through the Enablers of Flexibility: The Impact of Forecasting and Process Flow Management. In: Reiner, G. (eds) Rapid Modelling for Increasing Competitiveness. Springer, London. https://doi.org/10.1007/978-1-84882-748-6_21

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  • DOI: https://doi.org/10.1007/978-1-84882-748-6_21

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-747-9

  • Online ISBN: 978-1-84882-748-6

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