Metaheuristics for a new MINLP model with reduced response time for on-line order batching

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Hojaghani L.; NEMATIAN J.; Shojaie A.A.; JAVADI M.

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Journal Paper

Paper Information

Journal: Scientia Iranica Year:2021 | Volume:28 | Issue:5 (Transactions E: Industrial Engineering) Page(s): 2789-2811

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Title

Metaheuristics for a new MINLP model with reduced response time for on-line order batching

Author(s)

Hojaghani L. | NEMATIAN J. | Shojaie A.A. | JAVADI M. | Issue Writer Certificate

Keywords

Warehousing

On-line order batching

Warehouse blocking

Zoning system

Idle time

ABC meta-heuristic algorithm

ACO meta-heuristic algorithm

Abstract

Companies are looking for e ective strategies to improve warehouse performance quality due to customers dissatisfaction of service. The order picking process is one of the main warehouse management strategies. As the inventory of stored items and the number of orders increased, the picking process and response time became more important. E ective coordination between order batching and order picking process is essential to improve the e ciency of the warehouse management system. In this paper, a novel MixedInteger Nonlinear Programming (MINLP) model for On-line order batching is proposed for improving the warehouse performance, which in turn results in the reduction of the response and Idle times. The proposed method takes aim at the investigation of order classi cation for the rst time in the picker-to-part system as a manual picking system and an online order batching system, with the intent of minimizing the turnover time and Idle time. Besides, an order batching model in a blocked warehouse using a Zoning system is proposed which is called Online Order Batching in Blocked Warehouse with One Picker for each Block (OOBBWOPB). The mentioned model is solved by two algorithms: Arti cial BeeColony (ABC) algorithm and Ant-Colony (ACO) algorithm. Two numerical case studies are de ned and analyzed using MATLAB software. According to the results compared with the results of Zhang et al. (2017) the proposed model shows better performance and the average customer order response time is signi cantly reduced (2017) and the ACO yields better results than ABC.

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APA: Copy

Hojaghani, L., NEMATIAN, J., Shojaie, A.A., & JAVADI, M.. (2021). Metaheuristics for a new MINLP model with reduced response time for on-line order batching. SCIENTIA IRANICA, 28(5 (Transactions E: Industrial Engineering)), 2789-2811. SID. https://sid.ir/paper/974451/en

Vancouver: Copy

Hojaghani L., NEMATIAN J., Shojaie A.A., JAVADI M.. Metaheuristics for a new MINLP model with reduced response time for on-line order batching. SCIENTIA IRANICA[Internet]. 2021;28(5 (Transactions E: Industrial Engineering)):2789-2811. Available from: https://sid.ir/paper/974451/en

IEEE: Copy

L. Hojaghani, J. NEMATIAN, A.A. Shojaie, and M. JAVADI, “Metaheuristics for a new MINLP model with reduced response time for on-line order batching,” SCIENTIA IRANICA, vol. 28, no. 5 (Transactions E: Industrial Engineering), pp. 2789–2811, 2021, [Online]. Available: https://sid.ir/paper/974451/en

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