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Warianty tytułu
Języki publikacji
Abstrakty
The goal of the paper is to make a cross-industrial comparison of the effect of sales planning practices on different types of manufacturing strategies applied in 343 producing companies operating in European, Asian and African supply chains. In order to achieve an empirical aim a necessary methodology and statistical analyses have been employed. In the result of the analysis multiple regression models have been developed for specific manufacturing strategies in supply chains operating in different industries worldwide. It enabled to make cross-sectoral comparisons of the contribution to variance in manufacturing strategy.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
131--145
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
- Wrocław University of Economics, Poland
autor
- University of Economics, Katowice, Poland
Bibliografia
- [1] Aczel, A.D., Complete Business Statistics. Second Edition, Boston, Massachusetts, (1993)
- [2] Blecker T.,AbdelkafiN.,Variety management in assemble-to-order supply chains.MPRAPaper 5250, University Library of Munich, Germany (2006), pp. 39–56.
- [3] Bozarth, C., Chapman, S., A contingency view of time-based competition for manufacturers. International Journal of Operations and Production Management, (1996) Vol. 16, No. 6, pp. 56–67
- [4] Bryman, A. and Cramer, D., Quantitative Data Analysis with SPSS Release 8 for Windows. A Guide for Social Scientists. Routledge, London (1999)
- [5] Croxton K. L., Lambert D. M., Garcıa-Dastugue S. J., Rogers D. S., The Demand Management Process, International Journal of Logistics Management, (2002) Vol. 13 Iss: 2, pp.51–66
- [6] Crum C., Palmatier G. E., Demand management best practices: process, principles, and collaboration. Integrated Business Management Series, J.ROSS Publishing, USA (2003)
- [7] George D., Mallery P., SPSS forWindows step by step:Asimple guide and reference. 11.0 update 4th edition. Boston, Allyn and Bacon (2003)
- [8] Goldsby, T.J., Garcia-Dastugue, S., The Manufacturing Flow Management Process, International Journal of Logistics Management (2003) Vol. 14, No. 2, pp. 33–52
- [9] Hoekstra, S. and Romme, J., Integrated Logistics Structures: Developing Customer Oriented Goods Flow. Mc-Graw Hill, Maidenhead (1992)
- [10] Kahn K. B., New product forecasting. An applied approach. M.E. Sharpe, Inc. USA (2006)
- [11] Mason-Jones, Towill R. and D., Total cycle time compression and the agile supply chain. International Journal of Production Economics, (1999) Vol. 62, No. 1/2, pp. 61–73
- [12] Mentzer J. T., Moon M. M., Sales Forecasting Management. A Demand Management Approach. SAGE Publications, London (2005)
- [13] Naylor, J.B., Naim, M.M., Berry, D. Leagility, Integrating the Lean and Agile Manufacturing Paradigms in the Total Supply Chain. International Journal of Production Economics, (1999) Vol. 62, pp. 107–118
- [14] Olivier Wight Companies, OlivierWight ABCD Checklist for operational Excellence, John Wiley & Sons, USA, (2001)
- [15] Sarang D. N., Laxmidhar M. master’s thesis: Exploratory Investigation of Sales Forecasting Process and Sales Forecasting System. Case Study of Three Companie. Jonkoping International Business School, J¨onk¨oping University in Sweden, December (2006)
- [16] Stalk, G., Time – the next source of competitive advantage. Harvard Business Review, July-August (1988)
- [17] Vestag, G. andWhybark D.C., Inventory management: Is there a knock-on effect? International Journal of Production Economics (2005) Vol. 93–94, pp. 129–138
- [18] Wikner, J., Rudberg, M., Integrating production and engineering perspectives on the customer order decoupling point. International Journal of Operations & Production Management (2005) Vol. 25 No. 7, pp. 623–641
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-AGH8-0014-0034