Optimizing Warehouse Forklift Dispatching Using a Sensor Network and Stochastic Learning

Estanjini, Reza Moazzez; Lin, Yingwei; Li, Keyong; Guo, Dong; Paschalidis, Ioannis Ch.

doi:10.1109/tii.2011.2158834

Cited by 30 publications

(8 citation statements)

References 32 publications

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“…It seems that this is a unique point in time, with emerging technologies such as data mining and analysis, sensor and IoT interconnectivity to create a WMS framework that is not just based on maintaining "standard" operations and their optimisation but also includes a basis of the real-time constraints that cause exceptions and lead to disruptions. Estanjini et al (2011) uses sensors and dynamic programming to calculate the most costeffective way to allocate the next forklift task which is smart optimisation. The intelligent product agent in Giannikas et al (2013) seeks the best storage location each time it is received into the warehouse and this is based on a number of factors including "turnover rate, demand, the relationships with other products, the layout of the warehouse etc."…”

Section: Discussionmentioning

confidence: 99%

“…One can imagine a warehouse environment in which information from sensors is used to form a picture of the environment and make a decision in real-time. Estanjini, Lin, Li, Guo, and Paschalidis (2011) developed such a system to determine the next task to be allocated to forklift drivers in a grocery warehouse. The system used a sensor network, an information collection system, a localisation algorithm and dynamic programming to determine the next task to allocate to an available forklift.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent agent based framework to augment warehouse management systems for dynamic demand environments

Binos¹,

Bruno²,

Adamopoulos³

2021

AJIS

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Warehouses are being impacted by increasing e-commerce and omni-channel commerce. The design of current WMSs (Warehouse Management Systems) may not be suitable to this mode of operation. The golden rule of material handling is smooth product flow, but there are day-to-day operational issues that occur in the warehouse that can impact this and order fulfilment, resulting in disruptions. Standard operational process is paramount to warehouse operational control but may preclude a dynamic response to real-time operational constraints. The growth of IoT (Internet of Things) sensor and data analytics technology provide new opportunities for designing warehouse management systems that detect and reorganise around real-time constraints to mitigate the impact of day-to-day warehouse operational issues. This paper presents the design and development stage of a design science methodology of an intelligent agent framework for basic warehouse management systems. This framework is distributed, is structured around operational constraints and includes the human operator at operational and decision support levels. An agent based simulation was built to demonstrate the viability of the framework.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Intelligent agent based framework to augment warehouse management systems for dynamic demand environments

Binos¹,

Bruno²,

Adamopoulos³

2021

AJIS

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“…There has been a great number of literatures on the scheduling of the workshop warehouse up to now. However, some researchers just use intelligent algorithms [5][6][7][8][9][10][11][12], such as the genetic algorithm, the particle swarm algorithm, the niche algorithm, and the neural network, to optimize the path. The path denotes getting out and going into the storage of the products.…”

Section: Introductionmentioning

confidence: 99%

Warehouse scheduling performance analysis considering LHRL

et al. 2013

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Warehouse scheduling efficiency has to do with the length-height ratio of location (LHRL) to some extent, which hasn't been well investigated until now. In this paper a mathematic model is built by analyzing the relation between the travel time of the stacker and LHRL. Meanwhile, warehouse scheduling strategy is studied combining with the project on the automatic production line of an enterprise, and a warehouse scheduling strategy is proposed based on index of quality (IoQ) parameters. Besides, the process of getting the value of IoQ is also simplified with the idea of sparse matrix. Finally, the IoQ scheduling strategy is compared with random strategy and First Come First Out strategy in different LHRLs. The simulation results show that the IoQ scheduling strategy not only improves the quality of the product effectively, but also improves the efficiency of the scheduling substantially.

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“…Setelah melakukan identifikasi komponen yang terlibat, maka dapat di analisa program yang.Akan dibuat secara umum terdapat 2 rangkaian yakni rangkaian 1 input dan rangakaian 3 output. Analisa program ini berisi mengenai inisialisasi sensor, inisialisasi tampilan sevent segment sehingga indikator dapat dilihat[6]. Tekan tombol untuk meng-ON kan alat, maka sensor akan aktif dan akan mengirimkan data ke arduino dan akan diproses yang kemudian akan di tampilkan ke seven segment serta ke indikator buzzer dan LED yang akan dilihat oleh operator/supir.…”

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Sistem Pendeteksi Mundur Dan Manuver Pada Forklift Menggunakan Sensor Ultrasonik Berbasis Arduino

2019

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Abstrak— Dewasa ini setiap perusahaan bergerak dalam lingkungan dunia bisnisnya masing-masing, banyak perusahaan yang memanfaatkan kendaraan alat berat dengan harapan agar tak ingin mengecewakan costumer atau pembelinya dan juga bermaksud dapat mempertahankan pelanggannya. FORKLIFT adalah perangkat alat berat yang digunakan untuk hal angkat – mengangkat atau memindahkan berkapasitas besar sekaligus juga mampu mengangkat dalam proses penataan di atas rak – rak tinggi dan FORKLIFT memiliki kapasitas hinggga 3 ton dengan tinggi mengangkat hingga 4 meter. Sistem pendeteksi Jarak menggunakan ultrasonic sangat efisien digunakan pada bagian belakang kendaraan alat berat tersebut, menggunakan modul Arduino sebagai kontrol. Sistem pendeteksi jarak ini terintegrasi dengan seven segment sebagai display jarak dan led serta buzzer sebagai indikator. Sensor ultrasonic akan mengirimkan sonar untuk mengetahui pengahalang didepannya serta akan dikirimkan sinyal melalui pin output echo ke Arduino yang akan di eksekusi dengan tampilan indikator, sehingga operator FORKLIFT yang mengoperasikan akan lebih mudah melihat jarak belakang jika ada penghalang saat bermanuver dan mundur.Kata kunci: Sensor Ultrasonic, Arduino, Forklift, Sistem Pendeteksi JarakAbstract— Today every company engaged in the world of their respective businesses, many companies that use heavy equipment in the hope that does not want to disappoint the customer or buyer and also intends to maintain the customers. FORKLIFT is a device used heavy equipment to lift it - to lift or move a large capacity as well as capable of lifting the setup process on the shelves - a high shelf and FORKLIFT has finite capacity of 3 tons with a lifting height of up to 4 meters. The distance using ultrasonic detection system very efficiently used at the rear of the vehicle the heavy equipment, using Arduino as a control module. Distance detection system is integrated with a seven segment display and LED and buzzer distance as an indicator. The sensor sends ultrasonic sonar to determine to obstacle in front of him and will be sent a signal through output pin to Arduino echo that will be executed by the display indicator, so that the forklift operator that operate will be easier to see if there is a barrier rear distance when maneuvering and backwards. Keywords: Ultrasonic sensors, Arduino, Forklift, Distance Detection System

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Optimizing Warehouse Forklift Dispatching Using a Sensor Network and Stochastic Learning

Cited by 30 publications

References 32 publications

Intelligent agent based framework to augment warehouse management systems for dynamic demand environments

Intelligent agent based framework to augment warehouse management systems for dynamic demand environments

Warehouse scheduling performance analysis considering LHRL

Sistem Pendeteksi Mundur Dan Manuver Pada Forklift Menggunakan Sensor Ultrasonik Berbasis Arduino

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