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Grain Order Sorting Based on the Polling Control Mechanism of Exhaustive Parallel Limited-1

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DOI: 10.23977/msom.2022.030210 | Downloads: 6 | Views: 575


Huijuan Liu 1, Yanan Wang 1


1 Department of Economic Management, Henan College of Surveying and Mapping, Zhengzhou, 450000, China

Corresponding Author

Huijuan Liu


China is a large country of grain production and population so that the grain problem has a significant impact on China's economic and social development. However, the existing grain supply chain "wholesale layer-by-layer" circulation system can not meet consumers individual requirements. Therefore, this paper applies of polling system to study the automatic control mechanism of order sorting of grain, such as the flour, rice and other grain. Based on the sorting characteristics of the grainl and the actual business needs, this paper distinguishes common order from priority order. Besides, establishing two level priority polling order sorting system model of exhaustive parallel limited-1. The proposed model takes exhaustive control strategy to sort the priority order and takes limited-1 control strategy to sort the common order, which can ensure priority order customers receive better service and the fairness of order sorting systems. Using the embedded Markov chain and Laplace transform to solve theoretical model. Then through numerical calculation and analysis to get system's first order characteristics and second order characteristics and other key performance parameters for intensive study of the control mechanism of order sorting.


Order sorting, polling system, on-demand customization


Huijuan Liu, Yanan Wang, Grain Order Sorting Based on the Polling Control Mechanism of Exhaustive Parallel Limited-1. Manufacturing and Service Operations Management (2022) Vol. 3: 64-75. DOI:


[1] W.X. Ran, L.Y. Yu (2018) Research on Individually Customized Grain Distribution Center with Continuous Materials: A Case Study of Chongqing, Logistics Technology, 37, 8, 67-71+134.
[2] Z.L. Wang, Y.B. Zhu, (2014) Problems and approach food supply chain safety management, Journal of commercial economy, 20: 11-14.
[3] Rubricoa, J. I. U., Higashi, T. Hirofumi Tamurac, & Otad, J. (2011) "Online rescheduling of multiple picking agents for warehouse management", Robotics and Computer-Integrated Manufacturing, 27, 1, 62–71.
[4] Z.J. Yang, (2022) "Research on Performance of Two-server polling Control based on Limited Service", Computer Simulation, 39(08): 466-472.
[5] Lauderdale Benjamin E., Bailey Delia, Blumenau Jack, Rivers Douglas. (2020) Model-based pre-election polling for national and subnational outcomes in the US and UK, 36: 399.
[6] Gong, Y., & Koster, R. D., (2008) "A polling-based dynamic order picking system for online retailers", IIE Transactions, 40, 11, 1070-1082.
[7] W.X. Ran. (2015) Study on polling service system about unit material order-sorting, Beijing: Economic Science Press.
[8] W.X. Ran, L.Y. Yu (2018) Research on Order Sorting Mechanism of Pu'er Tea Distribution Center with Fully Parallel Threshold Two-stage Polling Control, Logistics Engineering and Management, 40(07): 77-81.
[9] Z.J. Yang, L. Mao (2021) Analysis of Polling Access Control Protocol Based on Multi-Server, Computer Engineering and Design, 42(06): 1509-1516.
[10] Marian D. (2021) Semi-Hyers–Ulam–Rassias Stability of the Convection Partial Differential Equation via Laplace Transform, Mathematics, 9(22).

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