Letteratura scientifica selezionata sul tema "National Mobile Inventory Model (Computer system)"
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Articoli di riviste sul tema "National Mobile Inventory Model (Computer system)"
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Perera, E. N. C., A. M. C. T. Gunaratne e S. B. D. Samarasinghe. "Participatory Landslide Inventory (PLI): An Online Tool for the Development of a Landslide Inventory". Complexity 2022 (8 febbraio 2022): 1–10. http://dx.doi.org/10.1155/2022/2659203.
Testo completoAbstract (sommario):
A landslide inventory is a detailed register of the spatial distribution, geometry, and attributes of landslides and is essential for landslide hazard analysis, risk management, regional planning, and land use management and development, especially in landslide-prone regions. However, the development of a national landslide inventory is time-consuming and costly. Accordingly, most developing countries, including Sri Lanka, have basic landslide databases, which identify the location, date, and time of occurrence on a point map. This study, therefore, aimed to introduce a new method to report landslide information via a mobile application based on a participatory approach with information recorded in a web portal called the participatory landslide inventory (PLI). Twenty-one landslide site locations and their attributes were captured on the PLI web portal using the PLI mobile app. The system administrator then demarcated the landslide boundaries and performed geometrical calculations for each landslide to complete the inventory. Finally, the landslide information was published through the PLI web portal. The PLI is an effective and efficient tool for developing a landslide inventory economically.
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Yuan, Ruiping, Juntao Li, Wei Wang, Jiangtao Dou e Luke Pan. "Storage Assignment Optimization in Robotic Mobile Fulfillment Systems". Complexity 2021 (25 novembre 2021): 1–11. http://dx.doi.org/10.1155/2021/4679739.
Testo completoAbstract (sommario):
Robotic mobile fulfillment system (RMFS) is a new type of parts-to-picker order picking system, where robots carry inventory pods to stationary pickers. Because of the difference in working mode, traditional storage assignment methods are not suitable for this new kind of picking system. This paper studies the storage assignment optimization of RMFS, which is divided into products assignment stage and pods assignment stage. In the products assignment stage, a mathematical model maximizing the total correlation of products in the same pods is established to reduce the times of pod visits, and a scattered storage policy is adopted to reduce system congestion. A heuristic algorithm is designed to solve the model. In the pods assignment stage, a model is established minimizing the total picking distance of the mobile robots considering the turnover rate and the correlation of pods as well as the workload balance among picking corridors. A two-stage hybrid algorithm combining greedy algorithm and improved simulated annealing is designed to solve the model. Finally, a simulation experiment is carried out based on the historical order data of an e-commerce company. Results show that the storage assignment method proposed in the paper significantly improves the efficiency of order picking.
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Baek, Bok H., Rizzieri Pedruzzi, Minwoo Park, Chi-Tsan Wang, Younha Kim, Chul-Han Song e Jung-Hun Woo. "The Comprehensive Automobile Research System (CARS) – a Python-based automobile emissions inventory model". Geoscientific Model Development 15, n. 12 (21 giugno 2022): 4757–81. http://dx.doi.org/10.5194/gmd-15-4757-2022.
Testo completoAbstract (sommario):
Abstract. The Comprehensive Automobile Research System (CARS) is an open-source Python-based automobile emissions inventory model designed to efficiently estimate high-quality emissions from motor vehicle emission sources. It can estimate air pollutant, greenhouse gas, and air toxin criteria at any spatial resolution based on the spatiotemporal resolutions of input datasets. The CARS is designed to utilize local vehicle activity data, such as vehicle travel distance, road-link-level network geographic information system (GIS) information, and vehicle-specific average speed by road type, to generate an automobile emissions inventory for policymakers, stakeholders, and the air quality modeling community. The CARS model adopted the European Environment Agency's on-road automobile emissions calculation methodologies to estimate the hot exhaust, cold start, and evaporative emissions from on-road automobile sources. It can optionally utilize average speed distribution (ASD) of all road types to reflect more realistic vehicle speed variations. In addition, through utilizing high-resolution road GIS data, the CARS can estimate the road-link-level emissions to improve the inventory's spatial resolution. When we compared the official 2015 national mobile emissions from Korea's Clean Air Policy Support System (CAPSS) against the ones estimated by the CARS, there is a significant increase in volatile organic compounds (VOCs) (33 %) and carbon monoxide (CO) (52 %) measured, with a slight increase in fine particulate matter (PM2.5) (15 %) emissions. Nitrogen oxide (NOx) and sulfur oxide (SOx) measurements are reduced by 24 % and 17 %, respectively, in the CARS estimates. The main differences are driven by different vehicle activities and the incorporation of road-specific ASD, which plays a critical role in hot exhaust emission estimates but was not implemented in Korea's CAPSS mobile emissions inventory. While 52 % of vehicles use gasoline fuel and 35 % use diesel, gasoline vehicles only contribute 7.7 % of total NOx emissions, whereas diesel vehicles contribute 85.3 %. However, for VOC emissions, gasoline vehicles contribute 52.1 %, whereas diesel vehicles are limited to 23 %. Diesel buses comprise only 0.3 % of vehicles and have the largest contribution to NOx emissions (8.51 % of NOx total) per vehicle due to having longest daily vehicle kilometer travel (VKT). For VOC emissions, compressed natural gas (CNG) buses are the largest contributor at 19.5 % of total VOC emissions. For primary PM2.5, more than 98.5 % is from diesel vehicles. The CARS model's in-depth analysis feature can assist government policymakers and stakeholders in developing the best emission abatement strategies.
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Wang, Zelin, Xiaoning Wei e Jiansheng Pan. "Research on IRP of Perishable Products Based on Mobile Data Sharing Environment". International Journal of Cognitive Informatics and Natural Intelligence 15, n. 2 (aprile 2021): 139–57. http://dx.doi.org/10.4018/ijcini.20210401.oa10.
Testo completoAbstract (sommario):
Inventory routing problem (IRP) has always been a hot issue. Due to its particularity, perishable products have high requirements for inventory and transportation. In order to reduce the losses of perishable goods and improve the storage efficiency of perishable goods, based on the general inventory path problem, this paper further has studied the IRP of perishable goods. In addition, in the process of product distribution and transportation, there are a lot of real-time product information generated dynamically. These real-time mobile data must be shared by the whole distribution network, which will also dynamically affect the efficiency of IRP research. On the basis of some assumptions, the mathematical model has been established with inventory and vehicle as constraints and the total cost of the system as the objective. In view of the particularity of perishable inventory path problem, this paper proposed an improved differential evolution algorithm (IDE) to improve the differential evolution algorithm from two aspects. Firstly, the population has been initialized by gridding and the greedy local optimization algorithm has been used to assist the differential evolution algorithm, with these measures to improve the convergence speed of the algorithm. Then, the accuracy of the algorithm is improved by the adaptive scaling factor, two evolution modes and changing the constraints of the problem. Then the improved algorithm has been used to solve the inventory path problem. The results of numerical experiments show that the algorithm is effective and feasible and can improve the accuracy and speed up the convergence of the algorithm.
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Huang, Yueh-Min, Ying-Hong Pu, Tzung-Shi Chen e Po-Sheng Chiu. "Development and evaluation of the mobile library service system success model". Electronic Library 33, n. 6 (2 novembre 2015): 1174–92. http://dx.doi.org/10.1108/el-06-2014-0094.
Testo completoAbstract (sommario):
Purpose – The purpose of this study is to develop and analyse the usage status, level of satisfaction and success model of a mobile library service system in Taiwan. The research results could serve as a reference for the development, evaluation and improvement of libraries’ mobile services. Design/methodology/approach – This study designed a mobile library service system and used the informational system success model to evaluate its use status and level of satisfaction and, thus, to develop a success model for a mobile library service system. Findings – Results showed that students’ level of satisfaction with the mobile library service system had a positive correlation with the usage status indicated that the system could help them to improve their work efficiency, such as by reducing time spent searching for books and cost of obtaining electronic resources. The students also expressed a willingness to continue using the mobile library service system. Practical implications – In general, the students thought that the mobile library service system could reduce the time needed to search for book-related information, but that the service quality should be improved. Therefore, this study suggests that the education and training of system service personnel should be enhanced and that easy-to-use functions be provided to promote the users’ level of satisfaction and willingness to use the system. Originality/value – This study developed a mobile library service system and invited students studying in the National University of Tainan, in southern Taiwan, to be the subjects in an experiment, with a goal to evaluate the success of a model mobile library. The findings showed that the overall explanatory power (R2) of this model was 55 per cent and, thus, that the findings of this work have practical significance.
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Merrad, Yacine, Mohamed Hadi Habaebi, Md Rafiqul Islam e Teddy Surya Gunawan. "A Real-time Mobile Notification System for Inventory Stock out Detection using SIFT and RANSAC". International Journal of Interactive Mobile Technologies (iJIM) 14, n. 05 (7 aprile 2020): 32. http://dx.doi.org/10.3991/ijim.v14i05.13315.
Testo completoAbstract (sommario):
<p>Object detection and tracking is one of the most relevant computer technologies related to computer vision and image processing. It may mean the detection of an object within a frame and classify it (human, animal, vehicle, building, etc) by the use of some algorithms. It may also be the detection of a reference object within different frames (under different angles, different scales, etc.). The applications of the object detection and tracking are numerous; most of them are in the security field. It is also used in our daily life applications, especially in developing and enhancing business management. Inventory or stock management is one of these applications. It is considered to be an important process in warehousing and storage business because it allows for stock in and stock out products control. The stock-out situation, however, is a very serious issue that can be detrimental to the bottom line of any business. It causes an increased risk of lost sales as well as it leads to reduced customer satisfaction and lowered loyalty levels. On this note, a smart solution for stock-out detection in warehouses is proposed in this paper, to automate the process using inventory management software. The proposed method is a machine learning based real-time notification system using the exciting Scale Invariant Feature Transform feature detector (SIFT) and Random Sample Consensus (RANSAC) algorithms. Consequently, the comparative study shows the overall good performance of the system achieving 100% detection accuracy with features’ rich model and 90% detection accuracy with features’ poor model, indicating the viability of the proposed solution.</p>
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Hu, Ting-Chen, Jason C. H. Chen, Gino K. Yang e Cheng-Wei Chen. "Development of a Military Uniform Size System Using Hybrid Support Vector Clustering with a Genetic Algorithm". Symmetry 11, n. 5 (13 maggio 2019): 665. http://dx.doi.org/10.3390/sym11050665.
Testo completoAbstract (sommario):
Military uniforms serve as an essential symbol for servicemen and an important image of national and military dignity. The current military uniform size system in Taiwan, which features various types of military uniforms based on the body sizes of servicemen, was formulated in 1986. This size classification system includes numerous groups and is too complex, leading to inventory overstock, increased inventory cost and warehouse staff workload, and a waste of national defense resources. This study used support vector clustering (SVC) with genetic algorithm (GA) models to improve the upper garment size system for uniforms. The SVC technique was employed to classify sizes, and the GA technique was used to determine optimal parameter values for the SVC model. This paper developed an upper garment size system that can increase the fit of uniforms to servicemen’s body sizes and reduce the number of size groups, thereby alleviating warehouse staff workload and inventory cost.
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Zhang, Ruochen, Jianxun Li e Yanying Shang. "Multi-Level Site Selection of Mobile Emergency Logistics Considering Safety Stocks". Applied Sciences 13, n. 20 (13 ottobre 2023): 11245. http://dx.doi.org/10.3390/app132011245.
Testo completoAbstract (sommario):
With the increasing frequency of emergencies in recent years, the emergency response capacity of the emergency management system needs to be improved. Based on safety stock strategy, this paper proposes a multilevel siting model on the topic of mobile emergency response. We modeled the emergency response needs during emergencies by incorporating the population distribution of each region. The uncertainty of emergencies is modeled by aggregating the frequency of crises in each region over the past 20 years. The site selection model minimizes contingency logistics costs that include transshipment, deployment, inventory, and safety stock costs. In this paper, the IA (Immune Algorithm) is optimized to solve the constructed emergency site selection model. The experiments on the model were carried out with data from the area of Chongqing, Sichuan Province. The number of logistics centers and distribution storage warehouses was tested. The influence of safety stock strategy on the total cost of emergency logistics was analyzed. The research results found that the cost of safety stock is negatively related to the cost of transshipment. In addition, the total cost of emergency logistics has a lower bound. Adding distribution and storage warehouses does not further reduce the total emergency logistics cost.
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Slovak, K. I. "Mobile mathematical environments as a means of cloud technologies". CTE Workshop Proceedings 1 (21 marzo 2013): 131–32. http://dx.doi.org/10.55056/cte.165.
Testo completoAbstract (sommario):
In the last few years, a new concept of electronic data processing based on cloud computing information technology has been developed in the field of information technology. According to the definition of P. Mell and T. Grens, "cloud computing is a model of providing a service for network access to a common pool of computing (computer) resources (such as network, servers, data storage, software applications, data processing services, etc.) that can be flexibly configured to the different needs of the user and provided with minimal management effort on his part or interaction with the service provider. Cloud computing is gradually entering all areas of society, including education. According to the national project "Open world", which is planned to be realized during 2010-2014 under the aegis of the State agency of Ukraine on investments and management of national projects, informatization of the Ukrainian educational system should be provided on the basis of the cloud computing concept.
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Asghar, Iqra, e Jong Soo Kim. "An Automated Smart EPQ-Based Inventory Model for Technology-Dependent Products under Stochastic Failure and Repair Rate". Symmetry 12, n. 3 (3 marzo 2020): 388. http://dx.doi.org/10.3390/sym12030388.
Testo completoAbstract (sommario):
With the ever-growing technology development, high-tech products such as mobile phones, computers, electromagnetic devices and smart devices are facing high design and production modification requirements with relatively shorter life cycles. For instance, every forthcoming smart phone goes out of production in a shorter period after its launch, followed by its next generation. The design of high-tech products requires high investments in smart and automated manufacturing technology to ensure higher production efficiency. For high-tech products with short life spans, the manufacturing performance-quality variable is an important design parameter that affects system reliability, production efficiency and manufacturing costs. Major performance-quality factors of a manufacturing system which affect productivity and reliability of the manufacturing process are discussed in this research. The study investigates an integrated smart production maintenance model under stochastic manufacturing reliability for technology dependent demand and variable production rate. The smart unit production cost is a function of manufacturing reliability and controllable production rate, as a manufacturing system can be operated at different production rates within designed limits μ ϵ [ μ m i n , μ m a x ] . Manufacturing reliability is increased through investment in smart manufacturing technology and resources. The integrated smart production maintenance model is formulated under general failure and repair time distributions and the optimal production maintenance policy is investigated under specific failure and repair time distributions. A mathematical model is developed to optimize the manufacturing quality-performance parameter, variable production rate, per unit technology investment and production lot size. The total cost function is optimized through the Khun–Tucker method. The mathematical model is also validated with numerical analysis, comparative study, and sensitivity analysis for model key parameters.
Capitoli di libri sul tema "National Mobile Inventory Model (Computer system)"
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Hermeking, Marc. "Culture, Online Technology and Computer-Mediated Technical Documentation". In Computer-Mediated Communication across Cultures, 77–90. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-833-0.ch006.
Testo completoAbstract (sommario):
The global diffusion of technology is increasingly accompanied by both computer-mediated and online communication. Several empirical examples for the influence of culture on the usage of online technology and computer-mediated technical documentation are illustrated with relevant theories from the field of intercultural communication (e.g., Edward T. Hall’s model of low-/high-context in particular). Recent developments and national differences in the global diffusion of mobile phones and the Internet are discussed as examples for culture-specific online communication preferences. Similar cultural influences on computer-mediated technical documentation and operational instructions are demonstrated by online manuals from Southeast Asia and by an aviation control system. Beyond the understanding of cultural communication preferences, consequences for construction and design of such technologies are also discussed.
Atti di convegni sul tema "National Mobile Inventory Model (Computer system)"
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Lu, Lu, Daoxing Guo, Aijun Liu e Maoqiang Yang. "Analysis of Channel Model for GEO Satellite Mobile Communication System". In 2012 National Conference on Information Technology and Computer Science. Paris, France: Atlantis Press, 2012. http://dx.doi.org/10.2991/citcs.2012.219.
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