Bi-objective sequencing decision model for mixed-model assembly line

被引：0
|
作者：
Sun B. [1 ]
Shen X. [1 ]
Long S. [1 ]
Lu Z. [1 ]
机构：
[1] College of Transportation, Jilin University, Changchun
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2017年 / 23卷 / 07期
关键词：
Assembly switch cost; Leveling of material; Mixed-model assembly line; Sequencing;
D O I：
10.13196/j.cims.2017.07.013
中图分类号：
学科分类号：
摘要：
To optimize the production planning for mixed-model assembly line, a bi-objective sequencing decision model was offered by considering the material leveling and assembly switch cost. Production classifying method based on customs order's demand and lead time was proposed to identify their sequence priority. Bi-objective sequencing decision model with minimum variations of part usage rate and assembly switch cost was given by integrating the principle of Minimal Production Set (MPS), goal chasing algorithm and product family design. The optimal solution set for each category in MPS was solved with Genetic Algorithm (GA). The impacts of factors such as leveling of material, product family, assembly switch cost and customer demand on production planning was reflected, and the key performance indictors of production planning was also enhanced. © 2017, Editorial Department of CIMS. All right reserved.
引用
收藏
页码：1481 / 1491
页数：10
相关论文
共 24 条
  • [1] Kilbridge M.D., Wester L.A., A heuristic method of assembly line balancing, Journal of Industry Engineering, 7, 4, pp. 292-298, (1961)
  • [2] Nils B., Simon E., Part logistics in the automotive industry: Decision problems, literature review and research agenda, European Journal of Operational Research, 242, 1, pp. 107-120, (2015)
  • [3] Reckiek B., Pierre D.L., Designing mixed-product assembly lines, IEEE Transactions and Automation, 16, 3, pp. 268-280, (2000)
  • [4] Manavizadeh N., Tavakoli L., Rabbani M., Et al., A multi-objective mixed-model assembly line sequencing problem in order to minimize total costs in a make-to-order environment considering order priority, Journal of Manufacturing Systems, 32, 1, pp. 124-137, (2013)
  • [5] Monden Y., Toyota Production System, (1983)
  • [6] Miltenburg J., Level schedules for mixed-model assembly lines in just-in-time production systems, Management Seienee, 35, 2, pp. 192-207, (1989)
  • [7] McMullan P.R., Frazier G.V., A simulated annealing approach to mixed-model sequencing with multiple objectives on a just-in-time line, HE Transactions, 32, 1, pp. 679-686, (2000)
  • [8] 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)
  • [9] Song H., Han Y., Leveling the material supply on mixed-model assembly line, Systems Engineering, 20, 3, pp. 15-19, (2002)
  • [10] Yi D., Analysis and application of mixed input sequencing method for multi-products based on production balancing, Journal of Nanchang College of Water Conservancy and Hydroelectric Power, 22, 3, pp. 19-21, (2003)
123