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JACIII Vol.22 No.7 pp. 1104-1108
doi: 10.20965/jaciii.2018.p1104
(2018)

Short Paper:

Research on Solid Waste Transfer Strategy Based on Internet of Things

Ming Jiang and Zhenyu Liu

Management Science Department, Xiamen University
600 Science and Technology Road, Jimei District, Xiamen City, Fujian 361000, China

Received:
April 9, 2018
Accepted:
June 1, 2018
Published:
November 20, 2018
Keywords:
Internet of things, solid state waste, scheduling strategy
Abstract

Innovation in this paper adopts the method of Internet of things, add solved the transportation scheduling based on the experience of the solid waste before feedback slower, based on the mathematical model of solid waste transportation scheduling problems cannot cope with the sudden situation. After fully considering the requirements of solid waste transportation green sustainability and the maximization of waste clearance in sanitation PPP project, the scheduling strategy based on iot data is given. And through in XX city, XX district cleaning section for example, the application shows that this method can meet the demand of public sanitation services, the basis of the solution of the maximum fuel consumption, reduce sanitation company the possibility of a fine, maximize trash pickup company interests, improve the efficiency of transportation.

Cite this article as:
M. Jiang and Z. Liu, “Research on Solid Waste Transfer Strategy Based on Internet of Things,” J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.7, pp. 1104-1108, 2018.
Data files:
References
  1. [1] T. A. Byrd, “Expert systems implementation: Interviews with Knowledge Engineers,” Industrial Management & Data Systems, Vol.95, Issue 10, pp. 3-7, 1995.
  2. [2] T. L. Jee, K. M. Tay, and C. K. Ng, “ Enhancing a Fuzzy Failure Mode and Effect Analysis Methodology with an Analogical Reasoning Technique,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.9, pp. 1203-1210, 2011.
  3. [3] J. M. Framinan, “Architecture of manufacturing scheduling systems: Literature review and an integrated proposal,” European J. of Operational Research, Vol.205, No.2, pp. 237-246, 2010.
  4. [4] Y. Qiang and R. Mou, “Consideration of vehicle scheduling model for vehicles with limited load,” System Engineering Theory and Practice, Vol.37, No.1, pp. 212-218, 2017.
  5. [5] Y. Wu and Z. Ma, “Production of perishables with time window in time-variant road network,” System Engineering Theory and Practice, Vol.37, No.1, pp. 172-181, 2013.
  6. [6] C. Miao, R. Su, and J. Zhang, “Study on the adaptive genetic algorithm for the distribution of vehicle scheduling problems in the library,” J. of Management Engineering, Vol.30, No.4, pp. 166-172, 2016.
  7. [7] A. Whitmore, A. Agarwal, and L. Xu, “The Internet of Things – A survey of topics and trends,” Information Systems Frontiers, Vol.17, No.2, pp. 261-274, 2015.
  8. [8] G. Roussos and V. Kostakos, “RFID in pervasive computing: State-of-the-art and outlook,” Pervasive & Mobile Computing, Vol.5, No.1, pp. 110-131, 2009.
  9. [9] M. Satyanarayanan, “Pervasive Computing: Vision and Challenges,” IEEE Personal Communications, Vol.8, No.4, pp. 10-17, 2001.
  10. [10] M. Baldauf, S. Dustdar, and F. Rosenberg, “A survey on context-aware systems,” Int. J. of Web Information Systems, Vol.2, No.1, pp. 5-31, 2009.
  11. [11] G. G. Meyer, J. C. Wortmann, and N. B. Szirbik, “Production monitoring and control with intelligent products,” Int. J. of Production Research, Vol.49, No.5, pp. 1303-1317, 2011.
  12. [12] P. Ou, “Application,” Enterprise Technology and Development, No.13, pp. 66-68, 2014.
  13. [13] Y. Shen, J. Xu, and Z. Zeng, “Public transit planning and scheduling based on AVL data in China,” Int. Trans. in Operational Research, Vol.23, No.6, pp. 299-316, 2016.
  14. [14] X. Hu, I. Sun, and Z. Wang, “Thoughts on the online intelligent scheduling method based on the Internet of things,” Management Science, No.2, pp. 137-144, 2015.
  15. [15] W. Wang, “Overview of baidu map API application,” Computer Programming Skills and Maintenance, No.5, pp. 35-36, 2017.

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Last updated on Dec. 11, 2018