Order Routing Challenge in Warehouse Operations - An Empirical Study: A Case Study with reference to the Perishable Goods Segment
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
- Softcover
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- Title
- Order Routing Challenge in Warehouse Operations - An Empirical Study: A Case Study with reference to the Perishable Goods Segment
- Author
- Vaddadi, Krishna Mohan, Garimella, Bhaskar Narasimha Rao
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2012
- Condition
- Like New
- Book Type
- book
- Binding
- paperback
- Language
- English
- ISBN 10
- 3659237345
- ISBN 13
- 9783659237348
In distribution logistics low-but-bulk quantity orders are being replaced by multiple-but-diminutive orders, which need to be executed in very tight time schedules. In manufacturing, there is a marked repositioning to lesser lot-sizes, point-of-use delivery, and cycle time condensation. The order routing challenge (ORC) concerns the evaluation of how to knot orders and then to assign them to order-loaders. This research argues that efficiency can increase in the order loading process in such environments by catering to a group of orders instead of exclusive orders. The essential issue is, hence, to determine the set of orders the order-loader should serve in one trip to minimize the mean throughput time of a random order. This research focus on the derivation of a simple but efficient algorithm for the establishment of an optimal load batch size for order-loaders in a typical Twin-block warehouse. Moments are defined applied to approximate the waiting duration of a random order based on the analogous batch service queuing structure. The optimal order batch size is then established in a straightforward pattern.
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About the Author
Dr V. Krishna Mohan is a Professor in DCMS, Andhra University, Visakhapatnam with 26 years experience and has published 5 books, 86 research papers and guided 62 doctoral students. He is serving as Registrar (on deputation) of Dr B.R.Ambedkar University, Srikakulam,AP, India on deputation and research interests are SCM and Marketing Econometrics.
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