Performance Evaluation of Warehousing Units. Some general remarks In general, a difficult problem...
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Transcript of Performance Evaluation of Warehousing Units. Some general remarks In general, a difficult problem...
![Page 1: Performance Evaluation of Warehousing Units. Some general remarks In general, a difficult problem due the –large number of operational issues that must.](https://reader036.fdocuments.net/reader036/viewer/2022083005/56649f0d5503460f94c21a45/html5/thumbnails/1.jpg)
Performance Evaluation of Warehousing Units
![Page 2: Performance Evaluation of Warehousing Units. Some general remarks In general, a difficult problem due the –large number of operational issues that must.](https://reader036.fdocuments.net/reader036/viewer/2022083005/56649f0d5503460f94c21a45/html5/thumbnails/2.jpg)
Some general remarks• In general, a difficult problem due the
– large number of operational issues that must be introduced in the model– stochastic nature of the system operations– unique aspects of the various environments– etc.
• Therefore, simulation is the most extensively used tool• Analytical models exist mainly for some automated modules, because
– they present some better defined structure and behavior (therefore, easier to justify the modeling assumptions)
– the need for good performance estimates for these modules is more critical, due to their high investment cost and inflexibility to modifications
– modeling and analyzing automated (production) systems is a prevailing trend in the scientific community
![Page 3: Performance Evaluation of Warehousing Units. Some general remarks In general, a difficult problem due the –large number of operational issues that must.](https://reader036.fdocuments.net/reader036/viewer/2022083005/56649f0d5503460f94c21a45/html5/thumbnails/3.jpg)
An example application:“Travel-Time Models for AS/RS”
(Y. Bozer and J. White, IIE Trans., pgs 329-338, 1984)
Modeling assumptions:
• The S/R machine operates either on a single or a dual command basis.
• The S/R machine travels simultaneously in the horizontal and vertical directions with constant velocities.
• Pick-up and deposit times associated with load handling can be ignored. In general, this is a deterministic component of the overall cycle time which can be added to it at the end, if it is deemed significant.
• Randomized storage is used; thus, any location in the pick face is equally likely to be selected for storage or retrieval.
Quantities to be evaluated:
• Expected cycle time and throughput, under SC and DC operation
![Page 4: Performance Evaluation of Warehousing Units. Some general remarks In general, a difficult problem due the –large number of operational issues that must.](https://reader036.fdocuments.net/reader036/viewer/2022083005/56649f0d5503460f94c21a45/html5/thumbnails/4.jpg)
A “brute force” calculation
Assuming that:
• the total number of storage locations is N
• one-way travel time from I/O point to location i is t_oi = t_io
• one-way travel time between locations i and j is t_ij = t_ji
we have:
• E(SC) = (2/N) * _{i=1}^N t_oi
• E(DC) = (2 / (N * (N-1))) *
* _{i=1}^{N-1} _{j=i+1}^N [t_oi+ t_ij + t_jo]
![Page 5: Performance Evaluation of Warehousing Units. Some general remarks In general, a difficult problem due the –large number of operational issues that must.](https://reader036.fdocuments.net/reader036/viewer/2022083005/56649f0d5503460f94c21a45/html5/thumbnails/5.jpg)
Bozer & White’s approximating formulae
L
H
sh
sv
th = L / sh
tv = H / sv
T = max{th, tv}b = min{th, tv}/T
E(SC) = (1/3)b^2+1E(DC) = (4/3) + (1/2)b^2-(1/30)b^3
![Page 6: Performance Evaluation of Warehousing Units. Some general remarks In general, a difficult problem due the –large number of operational issues that must.](https://reader036.fdocuments.net/reader036/viewer/2022083005/56649f0d5503460f94c21a45/html5/thumbnails/6.jpg)
Some interesting follow-up works
• Y. Bozer and J. White, “Design and Performance Models for End-of-Aisle order picking systems” Management Science, Vol. 36, No. 7, pgs 852-866, 1990
• Y. Bozer and J. White, “A generalized design and performance analysis model for end-of-aisle order-picking systems”, IIE Trans., Vol. 28, pgs 271-280, 1996
• R. Foley and E. Frazelle, “Analytical results for miniload throughput and the distribution of dual command travel time”, IIE Trans., Vol. 23, No. 3, pgs 273-281, 1991
• R. Foley, S. Hackman and B. C. Park, “Back-of-the envelope miniload throughput bounds and approximations”, working paper, ISyE, Georgia Tech, 2001