Optimization for Service Routes of Pallet Service Center Based on the Pallet Pool Mode

Zhou, Kang; He, Shiwei; Song, Rui

doi:10.1155/2016/5691735

Cited by 8 publications

(7 citation statements)

References 13 publications

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“…A variety of models such as deep neural networks, convolutional neural networks, and recurrent neural networks have been introduced and achieved good results [24][25][26]. e system based on the state output of the deep neural network has a certain decrease in error rate compared to the convolutional neural network, which proves the modeling ability of the neural network method in the field of English speech rationality optimization recognition [27,28]. However, the method for optimizing the rationality of English speech based on deep learning requires a large amount of training data to ensure its accuracy.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm

Hui

2020

Complexity

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As one of the most important communication tools for human beings, English pronunciation not only conveys literal information but also conveys emotion through the change of tone. Based on the standard particle filtering algorithm, an improved auxiliary traceless particle filtering algorithm is proposed. In importance sampling, based on the latest observation information, the unscented Kalman filter method is used to calculate each particle estimate to improve the accuracy of particle nonlinear transformation estimation; during the resampling process, auxiliary factors are introduced to modify the particle weights to enrich the diversity of particles and weaken particle degradation. The improved particle filter algorithm was used for online parameter identification and compared with the standard particle filter algorithm, extended Kalman particle filter algorithm, and traceless particle filter algorithm for parameter identification accuracy and calculation efficiency. The topic model is used to extract the semantic space vector representation of English phonetic text and to sequentially predict the emotional information of different scales at the chapter level, paragraph level, and sentence level. The system has reasonable recognition ability for general speech, and the improved particle filter algorithm evaluation method is further used to optimize the defect of the English speech rationality and high recognition error rate Related experiments have verified the effectiveness of the method.

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Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm

Hui

2020

Complexity

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“…Due to the computational complexity, researchers have developed heuristics to solve the pallet pool operation model in the literature. Zhou et al 9 developed an immune clone algorithm (ICA) for a pallet allocation model, and it was proved more effective than the traditional genetic algorithm (GA). However, compared with some other evolutionary algorithms (EAs) as ICA and GA, PSO is easier to implement and fewer control parameters are needed.…”

Section: Particle Swarm Optimization Algorithm and Experimental Resultsmentioning

confidence: 99%

“…2,7 The closed-loop system is the most popular. 8,9 There is one issue which ever plagues the pallet industry-proprietary pallets that have leaked out of a closed-loop system. 10 Ilic et al 11 reported that the annual loss rate of pallets was about 10%.…”

Section: Introductionmentioning

confidence: 99%

An optimization model for the operations of a pallet pool with both radio-frequency identification–tagged pallets and non-tagged pallets

Ren

Chen

et al. 2018

Advances in Mechanical Engineering

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In a pallet pool, pallets would be delivered through a supply chain. The operation procedure that consists of at least five operation processes as distribution, reposition, recycling, purchase (or rent), and maintenance is quite complex. These pallets are likely to be damaged, lost, destroyed, and so on. So, it is necessary to monitor the pallets using radio-frequency identification technology. However, there is no literature on the management of a pallet pool with both radio-frequency identification–tagged pallets and non-tagged pallets being put into consideration. In our research, an optimization model is presented to manage such a pallet pool. The objective of the optimization model is to minimize the total operation cost of a pallet pool including distribution cost, reposition cost, recycling cost, purchase or rent cost, loss cost, maintenance cost, loading and unloading cost, storage cost, and punishment cost. A particle swarm optimization algorithm is developed in Microsoft Visual Basic. Our numerical example shows that the optimization model and particle swarm optimization algorithm are effective. It is proved that the model and algorithm also can be used to measure whether the investment of a radio-frequency identification system is valuable or not. We proposed some suggestions for the pallet pools management.

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“…Ren et al [20] dealt with uncertainty while optimizing the whole pallet allocation process, including buying (leasing), distribution, repositioning, and recovery. Assuming the pooler's perspective, Zhou et al [21] optimized the delivery and collection routes from the pooler's facility to the clients of the pallet management service. Tornese et al [22] quantified the effects of repair facility location and pallet service conditions (i.e., pallet handling and loading conditions) on a pooling system in accordance with economic and environmental performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental Impacts of Reusable Transport Items: A Case Study of Pallet Pooling in a Retailer Supply Chain

et al. 2019

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Manufacturing, storage, and transportation processes are typically facilitated by pallets, containers, and other reusable transport items (RTIs) designed to guarantee many cycles along a lifespan of several years. As a consequence, both supply and reverse transportation of RTIs need to be managed to avoid stockout along the supply chain and the unsustainable production of new tools from virgin materials. This paper focuses on the business of pallet management by analyzing the transport operations of a pallet pooling network serving a large-scale nationwide retailer. The pooler is responsible for supplying, collecting, and refurbishing pallets. The combination of the pooler's management strategies with different retailer network configurations results in different pooling scenarios, which are assessed and compared in this paper through a what-if analysis. The logistical and environmental impacts generated by the pallet distribution activities are quantified per each scenario through a tailored software incorporating Geographic Information System (GIS) and routing functionalities. Findings from this analysis suggest how to reduce vehicle distance traveled (vehicles-km) by 65% and pollutant emissions by 60% by combining network infrastructures and pooling management strategies-identifying an empirical best practice for managers of pallet businesses.Sustainability 2019, 11, 3147 2 of 13 handling, storage, and collection of reusable items [6]. In such networks, the trade-off between the emissions released by transportation and the reduction in the use of virgin materials has to be identified in order to achieve environmental sustainability targets [7][8][9]. This aim requires a deep understanding of the observed network, highlighting the crucial role of the data collection process in order to enhance the accuracy of the obtained result [10].Scholars have already pointed out how alternative pallet management strategies across the CLNs can generate different environmental impacts associated with the whole pallet life cycle, as well as different logistical costs [11]. Among the most diffused strategies, this paper focuses on two, both based on pallet re-circulation. The first is the buy-sell program, in which an equal number of pallets received by a node of the supply chain is shipped back to the previous node through a back-haul trip. The entire pallet supply and collection process is hence assigned to the carriers or the truck fleet owners, who are implicitly responsible for balancing the overall pallet population throughout the supply chain. An improved version of this program consists of consolidating pallets and arranging full-loaded back-trips.A second strategy, namely the pooling program, involves a new actor, the pooler, who is responsible for supplying ready-to-use pallets to vendors, manufacturers, and other logistic nodes; collecting pallets from customers or downstream; refurbishing damaged pallets; and holding inventory within its facilities until new pallet orders are placed. While the pooling program typic...

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Optimization for Service Routes of Pallet Service Center Based on the Pallet Pool Mode

Cited by 8 publications

References 13 publications

Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm

Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm

An optimization model for the operations of a pallet pool with both radio-frequency identification–tagged pallets and non-tagged pallets

Environmental Impacts of Reusable Transport Items: A Case Study of Pallet Pooling in a Retailer Supply Chain

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