Reliability of Intra-Logistics Systems – Simulating Performance Availability
Logistics distributors face the issue of having to
provide increasing service levels while being forced to reduce costs at
the same time. Same-day delivery, quick order processing and rapidly
growing ranges of articles are only some of the prevailing challenges.
One key aspect of the performance of an intra-logistics system is how
often and in which amplitude congestions and dysfunctions affect the
processing operations. By gaining knowledge of the so called
‘performance availability’ of such a system during the planning stage,
oversizing and wasting can be reduced whereas planning
transparency is increased. State of the art for the determination of this
KPI is simulation studies. However, their structure and therefore their
results may vary unforeseeably. This article proposes a concept for
the establishment of ‘certified’ and hence reliable and comparable
simulation models.
[1] M. ten Hompel; T. Schmidt; L. Nagel, Materialflusssysteme: Förderund
Lagertechnik (VDI-Book). New York: Springer-Verlag, 2007, pp. 3-
4
[2] M. ten Hompel, V. Heidenblut, Taschenlexikon Logistik (VDI-Book).
New York: Springer-Verlag, 2006, p. 134
[3] Availability of transport and storage systems including subsystems and
elements, VDI-guideline 3581, 2004.
[4] Anwendung der Verfügbarkeitsrechnung für Förder- und Lagersysteme,
VDI-guideline 3649, 1992.
[5] E. N. Jung, M. ten Hompel, „Analytische Stauprognose in
Stetigfördersystemen im Rahmen der Systemplanung,“ Logistics
Journal: Proceedings, vol. 09, no.1, 2013.
[6] M. Maier, “Prognose der Leistungsverfügbarkeit während der Planung,“
Logistics Journal: Proceedings, vol. 06, no.1, 2010.
[7] Reliability for intralogistics – Performance availability, VDI-guideline
4486, 2012.
[8] A.-K. Wittenstein, Bedarfssynchrone Leistungsverfügbarkeit in der
kundenspezifischen Produktentwicklung, Dissertation, Stuttgart
University, 2007, pp. 33-35
[9] M. Maier, Praxisgerechte Abnahmeprozeduren für intralogistische
Systeme unter Berücksichtigung der Zuverlässigkeits-und
Verfügbarkeitstheorie. Dissertation, Tübingen University, 2012
[10] R. Conway, W. L. Maxwell; L. W. Miller, Theory of scheduling,
Reading, Mass: Addison-Wesley, 1967, ch. 11, pp. 229-239.
[11] T. C. E. Cheng and M. C. Gupta, “Survey of scheduling research
involving due date determination decisions,” European Journal of
Operational Research, vol. 28, no. 2, pp. 156-166, 1989.
[12] V. Gordon, J.-M. Proth, C. Chu, “A survey of the state-of-the-art of
common due date assignment and scheduling research,” European
Journal of Operational Research, vol. 139, no. 1, pp. 1-25, 2002.
[13] A. Baykasoglu, M. Göcken, Z. D. Unutmaz, „New approaches to due
date assignment in job shops,“ European Journal of Operational
Research, vol. 187, no. 1, pp. 31-45, 2008.
[14] V. Vinod, R. Sridharan, “Simulation modeling and analysis of due-date
assignment methods and scheduling decision rules in a dynamic job
shop production system,” International Journal of Production
Economics, vol. 129, no.1, pp. 127-146, 2011.
[15] T. C. E. Cheng, “An algorithm for the CON due-date determination and
sequencing problem,” Computers & Operations Research, vol. 14, no. 6,
pp. 537-542, 1987.
[1] M. ten Hompel; T. Schmidt; L. Nagel, Materialflusssysteme: Förderund
Lagertechnik (VDI-Book). New York: Springer-Verlag, 2007, pp. 3-
4
[2] M. ten Hompel, V. Heidenblut, Taschenlexikon Logistik (VDI-Book).
New York: Springer-Verlag, 2006, p. 134
[3] Availability of transport and storage systems including subsystems and
elements, VDI-guideline 3581, 2004.
[4] Anwendung der Verfügbarkeitsrechnung für Förder- und Lagersysteme,
VDI-guideline 3649, 1992.
[5] E. N. Jung, M. ten Hompel, „Analytische Stauprognose in
Stetigfördersystemen im Rahmen der Systemplanung,“ Logistics
Journal: Proceedings, vol. 09, no.1, 2013.
[6] M. Maier, “Prognose der Leistungsverfügbarkeit während der Planung,“
Logistics Journal: Proceedings, vol. 06, no.1, 2010.
[7] Reliability for intralogistics – Performance availability, VDI-guideline
4486, 2012.
[8] A.-K. Wittenstein, Bedarfssynchrone Leistungsverfügbarkeit in der
kundenspezifischen Produktentwicklung, Dissertation, Stuttgart
University, 2007, pp. 33-35
[9] M. Maier, Praxisgerechte Abnahmeprozeduren für intralogistische
Systeme unter Berücksichtigung der Zuverlässigkeits-und
Verfügbarkeitstheorie. Dissertation, Tübingen University, 2012
[10] R. Conway, W. L. Maxwell; L. W. Miller, Theory of scheduling,
Reading, Mass: Addison-Wesley, 1967, ch. 11, pp. 229-239.
[11] T. C. E. Cheng and M. C. Gupta, “Survey of scheduling research
involving due date determination decisions,” European Journal of
Operational Research, vol. 28, no. 2, pp. 156-166, 1989.
[12] V. Gordon, J.-M. Proth, C. Chu, “A survey of the state-of-the-art of
common due date assignment and scheduling research,” European
Journal of Operational Research, vol. 139, no. 1, pp. 1-25, 2002.
[13] A. Baykasoglu, M. Göcken, Z. D. Unutmaz, „New approaches to due
date assignment in job shops,“ European Journal of Operational
Research, vol. 187, no. 1, pp. 31-45, 2008.
[14] V. Vinod, R. Sridharan, “Simulation modeling and analysis of due-date
assignment methods and scheduling decision rules in a dynamic job
shop production system,” International Journal of Production
Economics, vol. 129, no.1, pp. 127-146, 2011.
[15] T. C. E. Cheng, “An algorithm for the CON due-date determination and
sequencing problem,” Computers & Operations Research, vol. 14, no. 6,
pp. 537-542, 1987.
@article{"International Journal of Business, Human and Social Sciences:68764", author = "Steffen Schieweck and Johannes Dregger and Sascha Kaczmarek and Michael ten Hompel", title = "Reliability of Intra-Logistics Systems – Simulating Performance Availability", abstract = "Logistics distributors face the issue of having to
provide increasing service levels while being forced to reduce costs at
the same time. Same-day delivery, quick order processing and rapidly
growing ranges of articles are only some of the prevailing challenges.
One key aspect of the performance of an intra-logistics system is how
often and in which amplitude congestions and dysfunctions affect the
processing operations. By gaining knowledge of the so called
‘performance availability’ of such a system during the planning stage,
oversizing and wasting can be reduced whereas planning
transparency is increased. State of the art for the determination of this
KPI is simulation studies. However, their structure and therefore their
results may vary unforeseeably. This article proposes a concept for
the establishment of ‘certified’ and hence reliable and comparable
simulation models.
", keywords = "Intra-logistics, performance availability, simulation, warehousing.", volume = "9", number = "1", pages = "128-8", }
