Sequencing for bus mixed model assembly line with consideration of product switching

被引：0

作者：

Gan Y. ^{[1
]}

Hou L. ^{[1
]}

Xu C. ^{[2
]}

Zhang W. ^{[1
]}

Chen D. ^{[1
]}

Fang Y. ^{[1
]}

机构：

[1] Department of Mechanical and Electrical Engineering, School of Aerospace Engineering, Xiamen University, Xiamen

[2] Xiamen King Long Motor Group Co., Ltd., Xiamen

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 07期

关键词：

Bus; Mixed-model assembly line sequencing; Product switching; Subjective and objective factors; Subjective and objective optimization evaluation algorithm; Work inertia;

D O I：

10.13196/j.cims.2019.07.009

中图分类号：

学科分类号：

摘要：

Content of abstract During the last years, the manufacturing industry is experiencing an increasing trend in the utilization of mixed-model assembly line (MMAL). To solve the problem of mixed model assembly line sequencing problem under the influence of subjective and objective factors, an interactive sequencing model aiming at minimizing the blocking time of workstations and minimizing the number of switching products was established, and the sequencing of bus in the actual processing process and sequencing results by the model were compared. From objective factors, the model had optimized the blocking time means the "refactoring" operation frame to achieve the aim of peak shaving processing. On the subjective factor level, the error rate of online operators was reduced because of frequent switching of products and a high degree of proficiency was maintained in the operation of convenience and fluency by considering the operation inertia of the online operator. The subjective and objective optimization evaluation algorithm was introduced to calculate the model and make the optimal task scheduling scheme. The results showed that the optimal sequencing had improved the blocking time of assembly line and the efficiency of production, which played a significant role in saving the limited time resources and releasing the limited space resources in the mixed model assembly line. © 2019, Editorial Department of CIMS. All right reserved.

引用

页码：1685 / 1694

页数：9

共 24 条

[1]

Li Q., Tang Q., Chen Y., Et al., Smart manufacturing standardization: reference model and standards framework, Computer Integrated Manufacturing Systems, 24, 3, pp. 539-549, (2018)

[2]

Dar-El E.M., Cucuy S., Optimal mixed-model sequencing for balanced assembly lines, Omega, 5, 3, pp. 333-342, (1977)

[3]

Monden Y., Toyota Production System, (1983)

[4]

Mosadegh H., Zandieh M., Ghomi S.M.T.F., Simultaneous solving of balancing and sequencing problems with station dependent assembly times for mixed-model assembly lines, Applied Soft Computing, 12, 4, pp. 1359-1370, (2012)

[5]

Song H., Ma S., Sequencing formixed - model assembly line with consideration of line balancing, China Mechanical Engineering, 17, 11, pp. 1138-1141, (2006)

[6]

Rossi A., Gurevsky E., Battaia O., Et al., Maximizing the robustness for simple assembly lines with fixed cycle time and limited number of workstations, Discrete Applied Mathematics, 208, C, pp. 123-136, (2016)

[7]

Bautista J., Cano A., Solving mixed model sequencing problem in assembly lines with serial workstations with work overload minimisation and interruption rules, European Journal of Operational Research, 210, 3, pp. 495-513, (2011)

[8]

Liu W., Liu Q., Zhang C., Et al., Hybrid particle swarm optimization for multi-objective sequencing problem in mixed model assembly lines, Computer Integrated Manufacturing Systems, 17, 12, pp. 2590-2598, (2011)

[9]

Sun B., Shen X., Long S., Et al., Bi-objective sequencing decision model for mixed-model assembly line, Computer Integrated Manufacturing Systems, 23, 7, pp. 1481-1491, (2017)

[10]

Zhou B., Peng T., Optimal schedule of just-in-time part distribution for mixed-model assembly lines, Journal of Jilin University: Engineering and Technology Edition, 47, 4, pp. 1253-1261, (2017)

← 1 2 3 →