Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

A TSSA algorithm based approach to enhance the performance of warehouse system

Chan, F.T.S. and Kumar, Vikas (2008) A TSSA algorithm based approach to enhance the performance of warehouse system. In: ICARCV 2008 - 10th International Conference on Control, Automation, Robotics and Vision, 17-20 December 2008 , Hanoi, Vietnam. ISBN 978-1-4244-2286-9

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


In this plethora of increased competitiveness and globalization the effective management of the warehouse system is a challenging task. Realizing that proper scheduling of the warehouses is necessary to outperform the competitors on cost, lead time, and customer service basis (Koster, 1998); the proposed research focuses on optimization of warehouse scheduling problems. This research aims to minimize the total tardiness so that the overall time involved in managing the inventory inside the warehouse could be effectively reduced. This research also deals with the vehicle routing issues in the warehousing scenario and considers various constraints, and decision variables, directly influencing the undertaken objective so as to make the model more realistic to the real world environment. The authors have also proposed a hybrid tabu sample-sort simulated annealing (TSSA) algorithm to reduce the tardiness as well as to enhance the performance of the warehousing system. The proposed TSSA algorithm inherits the merits of the tabu search and sample-sort annealing algorithm. The comparative analysis of the results of the TSSA algorithm with other algorithms such as simulated annealing (SA), tabu search (TS), and hybrid tabu search algorithms indicates its superiority over others, both in terms of computational time as well as total tardiness reduction.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Engineering > Production engineering
Computer Science > Algorithms
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Published in:10th International Conference on Control, Automation, Robotics and Vision, 2008 Proceedings. (1696 - 1701 ). Institute of Electrical and Electronics Engineers. ISBN 978-1-4244-2286-9
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ID Code:15778
Deposited On:02 Nov 2010 12:02 by Dr Vikas Kumar. Last Modified 02 Nov 2010 12:02

Download statistics

Archive Staff Only: edit this record