Multi-commodity flow dynamic resource assignment and matrix-based job dispatching for multi-relay transfer in complex material handling systems (MHS)

Joe, Yen Yen; Gan, Oon Peen; Lewis, Frank L.

doi:10.1007/s10845-012-0713-y

Cited by 6 publications

(1 citation statement)

References 28 publications

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“…In the defined graph, the nodes represent transportation tasks and AGVs while the arcs consider several system aspects such as pick, drop, travel times, congestion and error issues though the associated weights. Joe et al (2014) proposed a novel control framework in which the multi-commodity flow network optimization is used to find most optimized job sequence and a matrix-based discrete event supervisory controller to dispatch equipment control commands, thus, improved the flexibility and responsiveness of material handling systems. Besides, different algorithm can be developed combined with reality, Gen and Lin (2014) designed multi-objective evolutionary algorithms for different types of scheduling problems including Automatic Guided Vehicle dispatching in flexible manufacturing system.…”

Section: Introductionmentioning

confidence: 99%

An impending deadlock-free scheduling method in the case of unified automated material handling systems in 300 mm wafer fabrications

Zhou

2015

J Intell Manuf

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Impending deadlock is difficult to detect on the track of the unified automated material handling systems in 300 mm wafer fabrications, and has been less examined. This paper proposes an impending deadlock detection model using a graphic formulation with new concepts of critical chains and shared nodes. A novel controlling method is presented to ensure critical chains have at least one empty node and sequence the OHTs' entry of the shared nodes. This method is easy to apply and features real-time operation and large-scale systems. The effectiveness and efficiency of the proposed method is confirmed by simulation experiments.

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Section: Introductionmentioning

confidence: 99%

An impending deadlock-free scheduling method in the case of unified automated material handling systems in 300 mm wafer fabrications

Zhou

2015

J Intell Manuf

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A reinforcement learning based approach for a multiple-load carrier scheduling problem

et al. 2013

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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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Multi-commodity flow dynamic resource assignment and matrix-based job dispatching for multi-relay transfer in complex material handling systems (MHS)

Cited by 6 publications

References 28 publications

An impending deadlock-free scheduling method in the case of unified automated material handling systems in 300 mm wafer fabrications

An impending deadlock-free scheduling method in the case of unified automated material handling systems in 300 mm wafer fabrications

A reinforcement learning based approach for a multiple-load carrier scheduling problem

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

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