An integrated optimization of location assignment and storage/retrieval scheduling in multi-shuttle automated storage/retrieval systems

Yang, Peng; Miao, Lei; Xue, Zhang; Qin, Lei

doi:10.1007/s10845-013-0846-7

Cited by 40 publications

(21 citation statements)

References 19 publications

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“…The researches and applications on warehousing mainly focused on stacking-machine scheduling or path and distance optimization on automatic guided vehicle (AGV), such as on the travel time models and control policies [2]. Some references introduced the time parameters in the traditional A+ algorithm and a heuristic path search algorithm, and extended the two-dimensional A* algorithm to three-dimensional space-time [3]; some introduced suspension mechanism to avoid collision between robots, and used the hierarchical path planning algorithm to reduce the amount of calculation [4]; some focused on robot scheduling with rapidly exploring random tree(RRT) [5]; some used artificial potential field to solve the path planning method. However, all of the above studies are aimed merely to path planning tasks for simple point-to-point, rather than the complex tasks and applications on the stack multi-access of stacking storage robot.…”

Section: Relational Workmentioning

confidence: 99%

Stacking Storage Scheduling Optimization for Profile Automated Warehouse Robot Based on Mixing-degree

Zhang¹,

Lin²,

Tsai³

et al. 2017

dtetr

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Abstract.Stacking storage structure has to be used in profile automated warehouse, which results that the above ones of a rack must to be removed before the rack moving. So the delay of the procedure increases. Aiming at the problem, we firstly defined the mixing-degree of the whole stacking-storage as an important indicator of warehouse wholeness, which can characterize warehouse long-term efficiency. Secondly, a utility function was built to describe the measurement of warehouse status based on the mixing-degree. Finally a scheduling optimization model on constraints of the initialization condition was proposed, with always calculating the warehouse mixing-degree and top statuses. Simulation and field experiment on real Nanping AL. Robots system shows that the proposed algorithm achieves good performance and efficiency in long-term, though no optimization in short-term, which roots from less average expectation of the top-racks moves.

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Section: Relational Workmentioning

confidence: 99%

Stacking Storage Scheduling Optimization for Profile Automated Warehouse Robot Based on Mixing-degree

Zhang¹,

Lin²,

Tsai³

et al. 2017

dtetr

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“…designed and evaluated the performance of different storage location assignment methods. Yang et al . developed an integrated optimization of storage location assignment and storage/retrieval scheduling problem simultaneously.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Gu et al 22 designed and evaluated the performance of different storage location assignment methods. Yang et al 23 developed an integrated optimization of storage location assignment and storage/retrieval scheduling problem simultaneously. A RFID-based storage assignment system by attaching RFID tags at item level was proposed by Choy et al 24 for providing decision support for storage assignment in a warehouse.…”

Section: Location Management In Warehouse Managementmentioning

confidence: 99%

Location Management of Cloud Forklifts in Finished Product Warehouse

Zhao

Fang

Huang

et al. 2016

Int. J. Intell. Syst.

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The order picking process has been considered as the most time‐consuming and costly activity in warehouse management. Efficient location management, including product location management and storage location assignment management, serves as the key to reducing product searching time and traveling time during the process. This research is motivated by a real‐life industrial case, which is from a forklift manufacturer that encountered the underperformance in warehouse management. Excessive time was consumed in searching and picking the forklift in finished product warehouse, which thus led to great waste in resources and even the postponement of delivery. To solve this problem, this paper first presents the details about the problem and related processes. A conceptual model of cloud forklifts and its life cycle oriented management platform is then proposed. Accordingly, a prototype system named cloud forklift warehouse management system (CFWMS) is built based on the proposed model. The suggested model and system architecture is designed and developed with the commonality for general warehousing processes, and therefore can be easily configured and applied to any general warehouse environment. Results and details of implementation for the real‐life case are also provided to demonstrate the validity of the proposed model and CFWMS.

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“…In addition, their investment capability is limited (Mezgár and Kovács 1998), fuzzy-based systems are easier to adopt in a Chiang et al (2012) SME due to the existence of available software programmes available on the market. Non-fuzzy approaches such as tabu search (Yang et al 2013), simulated annealing (Bessenouci et al 2012) and modified heuristics based on association rule mining (Chiang et al 2012) require automated storage and retrieval systems (AS/RSs) in warehouses or a relatively long computation time, making it difficult to adopt the proposed methods in an SME. In addition, according to De Koster et al (2007), academic order picking literature focuses more on high-level picking and AS/RSs.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Bessenouci et al (2012) and Yang et al (2013) have applied tabu searching to improve the efficiency of order picking. However, their applications focus on warehouses which have AS/RS installed.…”

Section: (Iii) Learning Capability Of the Rfid-sasmentioning

confidence: 99%

A RFID-based storage assignment system for enhancing the efficiency of order picking

Choy

Lee

2014

J Intell Manuf

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In today's time-sensitive markets, effective storage policies are widely accepted as a means for improving the efficiency of order picking. As a result of customization, the variety of products handled by a warehouse has increased, making storage location assignment problems more complicated. Different approaches have been proposed by researchers for improving storage assignment and order picking. However, many industrial practitioners find it difficult to adopt such approaches due to complexity and high associated costs. In particular, small and medium enterprises (SMEs), that generally, lack resources and who have staff members with weak artificial intelligence backgrounds, still rely on experience when assigning storage locations for diverse products. In these circumstances, the quality of decision making cannot be guaranteed. In view of this, an intelligent system which can be easily adopted by SMEs is designed to improve storage location assignment problems. The proposed system, an RFID-based storage assignment system (RFID-SAS), is a rule-based system incorporating radio frequency identification (RFID) provides decision support for storage assignment in a warehouse. Unlike many existing situations, RFID tags are attached to products at the item level instead of at the pallet level. As the knowledge embedded in the system is represented in the form of rules, evaluation is important and is outlined in this paper. The effectiveness of the system is verified by means of a case study in which the system is implemented in a typical SME specializing in machinery manufacturing. The results illustrate that RFID-SAS can enhance the efficiency of order picking in a warehouse.

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An integrated optimization of location assignment and storage/retrieval scheduling in multi-shuttle automated storage/retrieval systems

Cited by 40 publications

References 19 publications

Stacking Storage Scheduling Optimization for Profile Automated Warehouse Robot Based on Mixing-degree

Stacking Storage Scheduling Optimization for Profile Automated Warehouse Robot Based on Mixing-degree

Location Management of Cloud Forklifts in Finished Product Warehouse

A RFID-based storage assignment system for enhancing the efficiency of order picking

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