Multi-objective optimization for an RFID-enabled automated warehousing system

Ahmed Mohammed; Saleh Alyahya; Qian Wang

doi:10.1109/AIM.2016.7576957

Multi-objective optimization for an RFID-enabled automated warehousing system

Ahmed Mohammed, Saleh Alyahya, Qian Wang

Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Over the last decade, it has been seen a rapid pace in research and development of RFID-based automatic storage and retrieval systems (AS/RSs) due to the usage of increasingly centralized distribution centers to warehouse merchandising products, which are sold using the online method. This paper presents a study of an RFID-enabled warehousing system as part of the research work for future generation warehouses design. To this aim, a multi-objective optimization model was developed and used for obtaining trade-off decisions by measuring four conflicted objectives: minimization of the total cost, maximization of capacity utilization, maximization of service level and minimization of travel distance in the warehouse. The study also supports design decisions in determining an optimum number of storage racks and collection points that need be established for the warehouse. To reveal the alternative Pareto-optimal solutions using the developed model, an integrated fuzzy solution approach was proposed. Subsequently, a decision making algorithm was used to select the best Pareto-optimal solution. A case-study was conducted to demonstrate the applicability of the developed model.

Original language	English
Title of host publication	2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1345-1350
Number of pages	6
ISBN (Electronic)	9781509020652
DOIs	https://doi.org/10.1109/AIM.2016.7576957
Publication status	Published - 26 Sept 2016
Event	2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 - Banff, Canada Duration: 12 Jul 2016 → 15 Jul 2016

Publication series

Name	IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume	2016-September

Conference

Conference	2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
Country/Territory	Canada
City	Banff
Period	12/07/16 → 15/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

multi-objective
optimization
RFID
Warehouses

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Computer Science Applications
Software

Access to Document

10.1109/AIM.2016.7576957

Cite this

Mohammed, A., Alyahya, S., & Wang, Q. (2016). Multi-objective optimization for an RFID-enabled automated warehousing system. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 (pp. 1345-1350). Article 7576957 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2016-September). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/AIM.2016.7576957

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title = "Multi-objective optimization for an RFID-enabled automated warehousing system",

abstract = "Over the last decade, it has been seen a rapid pace in research and development of RFID-based automatic storage and retrieval systems (AS/RSs) due to the usage of increasingly centralized distribution centers to warehouse merchandising products, which are sold using the online method. This paper presents a study of an RFID-enabled warehousing system as part of the research work for future generation warehouses design. To this aim, a multi-objective optimization model was developed and used for obtaining trade-off decisions by measuring four conflicted objectives: minimization of the total cost, maximization of capacity utilization, maximization of service level and minimization of travel distance in the warehouse. The study also supports design decisions in determining an optimum number of storage racks and collection points that need be established for the warehouse. To reveal the alternative Pareto-optimal solutions using the developed model, an integrated fuzzy solution approach was proposed. Subsequently, a decision making algorithm was used to select the best Pareto-optimal solution. A case-study was conducted to demonstrate the applicability of the developed model.",

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Mohammed, A, Alyahya, S & Wang, Q 2016, Multi-objective optimization for an RFID-enabled automated warehousing system. in 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016., 7576957, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, vol. 2016-September, Institute of Electrical and Electronics Engineers (IEEE), pp. 1345-1350, 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016, Banff, Canada, 12/07/16. https://doi.org/10.1109/AIM.2016.7576957

Multi-objective optimization for an RFID-enabled automated warehousing system. / Mohammed, Ahmed; Alyahya, Saleh; Wang, Qian.
2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 1345-1350 7576957 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2016-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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PY - 2016/9/26

Y1 - 2016/9/26

N2 - Over the last decade, it has been seen a rapid pace in research and development of RFID-based automatic storage and retrieval systems (AS/RSs) due to the usage of increasingly centralized distribution centers to warehouse merchandising products, which are sold using the online method. This paper presents a study of an RFID-enabled warehousing system as part of the research work for future generation warehouses design. To this aim, a multi-objective optimization model was developed and used for obtaining trade-off decisions by measuring four conflicted objectives: minimization of the total cost, maximization of capacity utilization, maximization of service level and minimization of travel distance in the warehouse. The study also supports design decisions in determining an optimum number of storage racks and collection points that need be established for the warehouse. To reveal the alternative Pareto-optimal solutions using the developed model, an integrated fuzzy solution approach was proposed. Subsequently, a decision making algorithm was used to select the best Pareto-optimal solution. A case-study was conducted to demonstrate the applicability of the developed model.

AB - Over the last decade, it has been seen a rapid pace in research and development of RFID-based automatic storage and retrieval systems (AS/RSs) due to the usage of increasingly centralized distribution centers to warehouse merchandising products, which are sold using the online method. This paper presents a study of an RFID-enabled warehousing system as part of the research work for future generation warehouses design. To this aim, a multi-objective optimization model was developed and used for obtaining trade-off decisions by measuring four conflicted objectives: minimization of the total cost, maximization of capacity utilization, maximization of service level and minimization of travel distance in the warehouse. The study also supports design decisions in determining an optimum number of storage racks and collection points that need be established for the warehouse. To reveal the alternative Pareto-optimal solutions using the developed model, an integrated fuzzy solution approach was proposed. Subsequently, a decision making algorithm was used to select the best Pareto-optimal solution. A case-study was conducted to demonstrate the applicability of the developed model.

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Mohammed A, Alyahya S, Wang Q. Multi-objective optimization for an RFID-enabled automated warehousing system. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. Institute of Electrical and Electronics Engineers (IEEE). 2016. p. 1345-1350. 7576957. (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM). doi: 10.1109/AIM.2016.7576957

Multi-objective optimization for an RFID-enabled automated warehousing system

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this