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Redesign of warehousing process with an application of object-oriented simulation method

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of this research is to improve a warehousing process. Its operations are characterized by deterministic and stochastic parameters. In such circumstances, the classical approaches based on deterministic methods leading to better performance of the process would not provide the expected results. Thus, the authors propose the methodology of process improvement. Introduction of a new technical equipment and reassignment of tasks to employees was proposed. The problem has been solved, providing significant improvement of the warehousing process. The proposed methodology of simulation-based process improvement has been proposed and verified. The process map created as the result of process analysis facilitates and accelerates the simulation model construction. The possibility to reflect random values brings the model closer to reality and increases the credibility of results.
Rocznik
Strony
351--366
Opis fizyczny
Bibliogr. 23 poz., fig., tab.
Twórcy
  • Poznan University of Technology, 3 Piotrowo, 61-138 Poznan, Poland
autor
  • Poznan University of Technology, 3 Piotrowo, 61-138 Poznan, Poland
Bibliografia
  • 1. Branecka K. et. al (2016), JARTOM Real Estate Report - Trends in the Years 2016 - 2017 on the Warehouse Market (in Polish), JARTOM Real Estate, Warsaw, available at: https://jartom.com.
  • 2. Coyle J.J., Bardi E.J. & Langley C.J. (1992), The Management of Business Logistics: A Supply Chain Perspective, South-Western/Thomson Learning, Mason.
  • 3. Diamond B., Krahl D., Nastasi A. & Tag P. (2010), ExtendSim Advanced Technology: Integrated Simulation Database. Proceedings of the 2010 Winter Simulation Conference, Baltimore, December, 5-8, pp. 32-39.
  • 4. Dolega S. (2017), The Warehouse Market Is Not Slowing Down. BNP Paribas Real Estate, Warsaw, available at: http://bnpparibas.media.pl.
  • 5. Faber N., de Koster M.B.M. & Smidts A. (2013), Organizing Warehouse Management, International Journal of Operations & Production Management, Vol. 33, No. 9, pp. 1230-1256, DOI: 10.1108/UOPM-12-2011-0471.
  • 6. Gu J., Goetschalckx M. & McGinnis L.F. (2010), Research on Warehouse Design and Performance Evaluation: A Comprehensive Review, European Journal of Operational Research, Vol. 203, No. 3, pp. 539-549.
  • 7. Hunt V. (1996), Process Mapping. How to Reengineer Your Business Process. John Wiley & Sons, New York.
  • 8. Kaźmierczak M. (2017), The Warehouse of Pharmaceutical Products Improvement with an Application of Object-Oriented Simulation Tool (in Polish), Politechnika Poznańska, Poznan.
  • 9. Khan S., Dweiri F. & Chaabane A. (2016), Fuzzy-AHP Approach for Warehouse Performance Measurement. Proceedings of the 2016 IEEE IEEM, pp. 871-875, DOI: 10.1109/IEEM.2016.7798001.
  • 10. Kłodawski M. & Jacyna M. (2011), The Time of Picking Process as a Criterion for Shaping Picking Zone (in Polish), Logistyka, Vol. 2, pp. 307-317.
  • 11. Law A.M. & Kelton W.D. (2000), Simulation Modeling and Analysis, McGraw-Hill, New York.
  • 12. Listowski T. (2016), Industrial Market in Poland Q3 2016, Cushman & Wakefield, Warsaw, available at: http://outsourcingportal.eu.
  • 13. Mika T. (2017), Warehouse market in Poland in 2016 (in Polish), Jones Lang Lasalle, Warsaw, available at: http://magazyny.pl.
  • 14. Olczyk D. (2010), Structural Modeling - Definitions, Notation, Techniques and Tools (in Polish), Warszawska Wyższa Szkoła Informatyki, Zeszyty Naukowe, Vol. 4, pp. 87-98.
  • 15. Olszewski T. (2016), Poland's Industrial Market in 2015, Jones Lang Lasalle, Warsaw, available at: https://warehousefinder.pl.
  • 16. Olszewski T. & Ciupek P. (2016), Industrial Market in Poland Q3 2016, Jones Lang Lasalle, Warsaw, available at: http://paiz.gov.pl.
  • 17. Powers R.F. (1989), Optimization Models for Logistics Decisions, Journal of Business Logistics, Vol. 10, No. 1, pp. 106-121.
  • 18. Sawicki P. & Sawicka H. (2014), Logistics Process Improvement Using Simulation and Stochastic Multiple Criteria Decision Aiding. Procedia - Social and Behavioral Sciences, Vol. 111, pp. 213-223.
  • 19. Shannon R.E. (1975), Systems Simulation. The Art and Science, Prentice-Hall, Englewood-Cliffs.
  • 20. Socha B. (2015), Record Demand for Warehouse Space in 2014 - JLL, Valkea Media, Warsaw, available at: http://wbj.pl.
  • 21. Staniszewska A., Palmer J. & Kuczyńska Ż. (2015), Time for Value Added Opportunities in CEE Logistics Market, BNP Paribas Real Estate, Warsaw, available at: http://reale-state.bnpparibas.pl.
  • 22. Tompkins J.A., White J.A., Bozer Y.A. & Tanchoco J.M.A. (2010), Facilities Planning, John Wiley & Sons. Hoboken.
  • 23. van der Vegte R. (2016), Supply Chain Management Challenges, Deloitte, Copenhagen, available at: https://www2.deloitte.com.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ceaf32b8-180d-4671-9839-27a517c149e0
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