Auditor work dispatching algorithm practicing for iParking system

2017 ◽  
Author(s):  
Tang-Hsien Chang ◽  
Shun-Yin Pang ◽  
Ying Chih Lu
Keyword(s):  
Dispatching Algorithm

Research on Workshop Management System of Body-in-White Pressing Production

2012 ◽  
Vol 468-471 ◽  
pp. 2661-2667
Author(s):  
Ya Zhou Chen ◽  
Lin Wang
Keyword(s):  
Production Scheduling ◽  
Management System ◽  
Production Management ◽  
Task Assignment ◽  
Production Management System ◽  
Dispatching Algorithm ◽  
Body In White ◽  
Dynamic Dispatching ◽  
A Company ◽  
Detailed Function

Based on the analyzing of the characteristics of a Body-In-White pressing production process a pressing workshop production management system has been given in order to make the ERP production scheduling more executable. The detailed function model of it such as task assignment, quality control, mold maintenance and production scheduling has been thoroughly discussed. In order to make the production line capability balance the task dispatching algorithm has been given and the dynamic dispatching and controlling process has been explained. This system can be integrated with the upper ERP/CAPP/PDM system which can improve the information level of a company.

An optimal dynamic dispatching algorithm in computer systems

Cybernetics ◽  
1977 ◽  
Vol 12 (4) ◽  
pp. 539-543
Author(s):  
S. M. Brodi ◽  
I. A. Pogosyan ◽  
A. A. Kasyan
Keyword(s):  
Computer Systems ◽  
Dispatching Algorithm ◽  
Dynamic Dispatching ◽  
Optimal Dynamic

scholarly journals A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

2021 ◽  
Vol 11 (11) ◽  
pp. 5107
Author(s):  
Miguel Ortíz-Barrios ◽  
Antonella Petrillo ◽  
Fabio De Felice ◽  
Natalia Jaramillo-Rueda ◽  
Genett Jiménez-Delgado ◽  
...  
Keyword(s):  
Job Shop ◽  
Selection Process ◽  
Fuzzy Ahp ◽  
Flexible Job Shop ◽  
Criteria Weights ◽  
Dispatching Algorithm ◽  
Scheduling Method ◽  
Hard Problems ◽  
Fourth Step

Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine selection) were implemented. The FAHP and TOPSIS methods were then integrated to underpin the multi-criteria operation selection process. In particular, FAHP was used to calculate the criteria weights under uncertainty, and TOPSIS was later applied to rank the eligible operations. As the fourth step of dispatching the algorithm, the operation with the highest priority was scheduled together with its initial and final time. A case study from the smart apparel industry was employed to validate the effectiveness of the proposed approach. The results evidenced that our approach outperformed the current company’s scheduling method by a median lateness of 3.86 days while prioritizing high-throughput products for earlier delivery.

Emergency Medical Service Response: Analyzing Vehicle Dispatching Rules

2018 ◽  
Vol 2672 (32) ◽  
pp. 10-21 ◽  
Author(s):  
Marco Amorim ◽  
Sara Ferreira ◽  
António Couto
Keyword(s):  
Dispatching Rules ◽  
Traffic Information ◽  
Computing Power ◽  
Vehicle Dispatching ◽  
Demand Prediction ◽  
Emergency Medical ◽  
New Concepts ◽  
Dispatching Algorithm ◽  
Response Performance ◽  
Advanced Computing

In an era of information and advanced computing power, emergency medical services (EMS) still rely on rudimentary vehicle dispatching and reallocation rules. In many countries, road conditions such as traffic or road blocks, exact vehicle positions, and demand prediction are valuable information that is not considered when locating and dispatching emergency vehicles. Within this context, this paper presents an investigation of different EMS vehicle dispatching rules by comparing them using various metrics and frameworks. An intelligent dispatching algorithm is proposed, and survival metrics are introduced to compare the new concepts with the classic ones. This work shows that the closest idle vehicle rule (classic dispatching rule) is far from optimal and even a random dispatching of vehicles can outperform it. The proposed intelligent algorithm has the best performance in all the tested situations where resources are adequate. If resources are scarce, especially during peaks in demand, dispatching delays will occur, degrading the system’s performance. In this case, no conclusion could be drawn as to which rule might be the best option. Nevertheless, it draws attention to the need for research focused on managing dispatch delays by prioritizing the waiting calls that inflict the higher penalty on the system performance. Finally, the authors conclude that the use of real traffic information introduces a considerable gain to the EMS response performance.

Optimal Dispatching of Electrical Sensors for Automatic Control

2013 ◽  
Vol 676 ◽  
pp. 246-250 ◽  
Author(s):  
Jian Liang Liu ◽  
Jian Yang ◽  
Wei Yi Liu
Keyword(s):  
Automatic Control ◽  
Control Systems ◽  
Prediction Performance ◽  
Prediction Algorithm ◽  
Bayesian Decision ◽  
Discrete State ◽  
Automatic Control Systems ◽  
Continuous State ◽  
Dispatching Algorithm ◽  
Better Than

In this paper, we consider an electrical sensor dispatching problem for automatic control systems(ACS). We propose an algorithm which selects one (or a group of) electrical sensor at each time from a set of electrical sensors. Then, the automatic control prediction algorithm computes the estimates of the continuous state and the discrete state of the ACS based on the observation from the selected electrical sensors. As the electrical sensor dispatching algorithm is designed such that the Bayesian decision risk is minimized, the true discrete state can be better identified. At the same time, the continuous state prediction performance of the proposed algorithm is better than that of automatic control prediction algorithms using only predetermined electrical sensors. Finally, our algorithm is validated though an illustrative target tracking example.

scholarly journals Development and Local Contextualization of Mobile Health Messages for Enhancing Disease Management Among Community-Dwelling Stroke Patients in Rural China: Multimethod Study

10.2196/15758 ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. e15758
Author(s):  
Enying Gong ◽  
Wanbing Gu ◽  
Erdan Luo ◽  
Liwei Tan ◽  
Julian Donovan ◽  
...  
Keyword(s):  
Pilot Study ◽  
Secondary Prevention ◽  
Mobile Phone ◽  
Rural China ◽  
Text Messages ◽  
Community Dwelling ◽  
Self Management ◽  
Stroke Patients ◽  
Dispatching Algorithm ◽  
Depth Interviews

Background Rural China has experienced an increasing health burden because of stroke. Stroke patients in rural communities have relatively poor awareness of and adherence to evidence-based secondary prevention and self-management of stroke. Mobile technology represents an innovative way to influence patient behaviors and improve their self-management. Objective This study is part of the System-Integrated Technology-Enabled Model of Care (the SINEMA trial) to improve the health of stroke patients in resource-poor settings in China. This study aimed to develop and pilot-test a mobile phone message–based package, as a component of the SINEMA intervention. Methods The SINEMA trial was conducted in Nanhe County, Hebei Province, China. A total of 4 villages were selected for pretrial contextual research and pilot study. The 5 stages for developing the mobile phone messages were as follows: (1) conducting literature review on existing message banks and analyzing the characteristics of these banks; (2) interviewing stroke patients and caregivers to identify their needs; (3) drafting message contents and designing dispatching algorithms for a 3-month pilot testing; (4) collecting feedback from pilot participants through questionnaire survey and in-depth interviews on facilitators and barriers related to their acceptance and understanding of messages; and (5) finalizing the message-based intervention based on participants’ feedback for the SINEMA trial. Results On the basis of 5 existing message banks screened out of 120 papers and patients’ needs identified from 32 in-depth interviews among stroke patients and caregivers, we developed a message bank containing 224 messages for a pilot study among 54 community-dwelling stroke patients from 4 villages. Of 54 participants, 51 (response rate: 94.4%) completed the feedback survey after receiving daily messages for 3 months. Participants’ mean age was 68 years (SD 9.2), and about half had never been to school. We observed a higher proportion of participants who were in favor of voice messages (23/42, 54%) than text messages (14/40, 35%). Among participants who received voice messages (n=43) and text messages (n=40), 41 and 30, respectively, self-reported a full or partial understanding of the contents, and 39 (39/43, 91%) and 32 (32/40, 80%), respectively, rated the messages as helpful. Analyses of the 32 interviews further revealed that voice messages containing simple and single-theme content, in plain language, with a repeated structure, a slow playback speed, and recorded in local dialect, were preferred by rural stroke patients. In addition, the dispatching algorithm and tools may also influence the acceptance of message-based interventions. Conclusions By applying multiple methodologies and conducting a pilot study, we designed and fine-tuned a voice message–based intervention package for promoting secondary prevention among community-dwelling stroke patients in rural China. Design of the content and dispatching algorithm should engage both experts and end users and adequately consider the needs and preferences of recipients.

scholarly journals Optimization on Emergency Materials Dispatching Considering the Characteristics of Integrated Emergency Response for Large-Scale Marine Oil Spills

2019 ◽  
Vol 7 (7) ◽  
pp. 214 ◽  
Author(s):  
Song Li ◽  
Manel Grifoll ◽  
Miquel Estrada ◽  
Pengjun Zheng ◽  
Hongxiang Feng
Keyword(s):  
Emergency Response ◽  
Oil Spill ◽  
Large Scale ◽  
Oil Spills ◽  
Marine Oil ◽  
Emergency Managers ◽  
Distribution Point ◽  
Dispatching Algorithm ◽  
Marine Oil Spills ◽  
The Difference

Many governments have been strengthening the construction of hardware facilities and equipment to prevent and control marine oil spills. However, in order to deal with large-scale marine oil spills more efficiently, emergency materials dispatching algorithm still needs further optimization. The present study presents a methodology for emergency materials dispatching optimization based on four steps, combined with the construction of Chinese oil spill response capacity. First, the present emergency response procedure for large-scale marine oil spills should be analyzed. Second, in accordance with different grade accidents, the demands of all kinds of emergency materials are replaced by an equivalent volume that can unify the units. Third, constraint conditions of the emergency materials dispatching optimization model should be presented, and the objective function of the model should be postulated with the purpose of minimizing the largest sailing time of all oil spill emergency disposal vessels, and the difference in sailing time among vessels that belong to the same emergency materials collection and distribution point. Finally, the present study applies a toolbox and optimization solver to optimize the emergency materials dispatching problem. A calculation example is presented, highlighting the sensibility of the results at different grades of oil spills. The present research would be helpful for emergency managers in tackling an efficient materials dispatching scheme, while considering the integrated emergency response procedure.

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