Abstract
The aim of the article is to present performance metrics and indicators of a production-logistics system at the operational level and their use for evaluation purposes in simulation experiments carried out in Simulation Software. The authors reviewed logistics and production system performance metrics and indicators as arranged in the category of flow and stock management. A survey questionnaires served as a basis for investigating the evaluation of logistics and performance systems (a system of metrics and indicators) with a view to identifying the ways in which the requirements of companies could be met in this respect, i.e. how they have a real impact on the decision-making process (research sample—372 enterprises surveyed on the operational and tactical level). The final part of the chapter demonstrates the authors’ evaluation system its and modeling in Simulation Software. In the conclusion, the authors offer guidelines on how to capture and analyze the results of simulation experiments to be able to satisfy the requirements of competition-driven market.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adler M, Ziglio E (eds) (1996) Gazing into the oracle: the Delphi method and its application to social policy and public health. Jessica Kingsley Publishers, London
Baudin M (2004) Lean logistics. The nuts and bolts of delivering materials and goods. Productivity Press, New York
Bellgran S, Safsten K (2010) Production development: design and operation of production systems. Springer, Berlin Heidelberg
Boszko J (1973) Struktura organizacyjna przedsiębiorstwa i drogi jej optymalizacji. WNT, Warszawa
Bullinger H-J, Lung M (1994) Planung der Materialbereitstellung in der Montage (Planning assembly material provision). Teubner, Stuttgart
Chapanis A (1996) Human factors in systems engineering. Wiley, New York
Dalkey N, Helmer O (1963) An experimental application of the Delphi method to the use of experts. Manage Sci 9:458–467
Droste M., Deuse J., (2012) Enabling manufacturing competitiveness and economic sustainability, pp 604–610
Eversheim W (1992) Flexible Produktionssysteme. In: Frese E (ed) Handwoerterbuch der Organisation. Poeschel-Verlag, Stuttgart
Fertsch M, Cyplik P, Hadas L (eds) (2010) Logistyka Produkcji—Teoria i praktyka. Biblioteka Logistyka, Poznan (in Polish)
Hadaś Ł, Cyplik P (2010) Hybrid production planning system in make-to-order company—case study. LogForum 6(4), No 5
Kern W (1980) Industrielle Produktionswirtschaft ueberarbeitete, vol 3. Poeschel Verlag, Stuttgart
Kisperska-Moroń D (2000) Wpływ tendencji integracyjnych na rozwój zarządzania logistycznego. Prace naukowe AE, Katowice
Linstone HA, Turoff M (eds) (1975) The Delphi method: techniques and applications. Addison-Wesley Publishing Company, Reading
Löfgren K-G (1983) Produktion—teknik och ekonomi. LiberHermods, Malmö (in Swedish)
Martino JP (1970) The precision of Delphi estimates. Technol Forecast 1(3):293–299
Pawlewski P (2014) Multimodal approach to modelling of manufacturing processes, variety management in manufacturing. In: Proceedings of the 47th CIRP conference on manufacturing systems
Pfohl H-Ch (1998) Zarządzania logistyką, Funkcje i instrumenty. ILiM, Poznań (in Polish)
Rogalski S (2011) Flexibility measurement in production systems: handling uncertainties in industrial production. Springer, Berlin Heidelberg
Supply Chain Operations Reference (SCOR®) Model, Overview—version 10.0, Supply Chain Council. http://supply-chain.org/f/SCOR-Overview-Web.pdf. Access April 2012
Twarog J (2003) Mierniki i wskaźniki logistyczne. Biblioteka logistyka, Poznań (in Polish)
Acknowledgments
This chapter has been the result of the study conducted within the project entitled “Multifaceted research the determinants of transformation of the production and logistics system with diversified production structure, wide product offer and multivariate strategy for customer service” realized in the Faculty of Engineering Management of Poznan University of Technology. The project was financed by the National Science Center based on the decision number DEC-2011/03/B/HS4/04125.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Cyplik, P., Hadas, L., Pawlewski, P. (2014). Operational Measurements for Evaluating the Transformation of Production-Logistics System and Their Reflecting in Simulation Software. In: Pawlewski, P., Greenwood, A. (eds) Process Simulation and Optimization in Sustainable Logistics and Manufacturing. EcoProduction. Springer, Cham. https://doi.org/10.1007/978-3-319-07347-7_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-07347-7_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07346-0
Online ISBN: 978-3-319-07347-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)