Master production scheduling and sequencing at mixed-model assembly lines in the automotive industry
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- 作者：Jan D?rmer ; Hans-Otto Günther ; Rico Gujjula
- 关键词：Mixed ; model assembly ; Master production scheduling ; Sequencing ; Heuristic solution procedure
- 刊名：International Journal of Flexible Manufacturing Systems
- 出版年：2015
- 出版时间：March 2015
- 年：2015
- 卷：27
- 期：1
- 页码：1-29
- 全文大小：570 KB
- 参考文献：1. Becker C, Scholl A (2006) A survey on problems and methods in generalized assembly line balancing. Eur J Oper Res 168(3):694-15 CrossRef
2. Bolat A (2003) A mathematical model for selecting mixed models with due dates. Int J Prod Res 41(5):897-18 CrossRef
3. Boysen N (2005) Variantenflie?fertigung. Gabler, Wiesbaden (in German) CrossRef
4. Boysen N, Fliedner M, Scholl A (2009a) Production planning of mixed model assembly lines: overview and extensions. Prod Plann Control 20(5):455-71 CrossRef
5. Boysen N, Fliedner M, Scholl A (2009b) Sequencing mixed-model assembly lines: survey, classification and model critique. Eur J Oper Res 192(2):349-73 CrossRef
6. Boysen N, Fliedner M, Scholl A (2009c) Level scheduling for batched JIT supply. Flex Serv Manuf 21(1-):31-0 CrossRef
7. Boysen N, Fliedner M, Scholl A (2010) Level scheduling under limited resequencing flexibility. Flex Serv Manuf 22(3-):236-57 CrossRef
8. Ding FY, Tolani R (2003) Production planning to support mixed-model assembly. Comput Ind Eng 45(3):375-92 CrossRef
9. Garcia-Sabater J-P, Maheut J, Garcia-Sabater JJ (2012) A two-stage sequential planning scheme for integrated operations planning and scheduling system using MILP: the case of an engine assembler. Flex Serv Manuf 24(2):171-09 CrossRef
10. Garey MR, Johnson DS (1979) Computers and intractability: a guide to the theory of NP-completeness. W.H. Freeman & Co, New York
11. Golle U, Boysen N, Rothlauf F (2010) Analysis and design of sequencing rules for car sequencing. Eur J Oper Res 206(3):579-85 CrossRef
12. Golz J, Gujjula R, Günther H-O, Rinderer S, Ziegler M (2012) Part feeding at high-variant mixed-model assembly lines. Flex Serv Manuf 24(2):119-41 CrossRef
13. Gujjula R, Günther H-O (2009) Scheduling utility workers at mixed-model assembly lines. In: Proceedings of the 2009 IEEE international conference on industrial engineering and engineering management. Sun H, Jiao R and Xie M (eds), IEEE, Singapore 2009, pp. 1092-096
14. Gujjula, R., Günther, H.-O. (2010), An efficient heuristic to sequence mixed-model assembly lines. In: Proceedings of the 2010 IEEE international conference on industrial engineering and engineering management. Lian Z, Wu Z, Min X, Jiao R (eds). IEEE, Singapore 2010, pp 1209-209
15. Gujjula R, Werk S, Günther H-O (2011) A heuristic based on Vogel’s approximation method for sequencing mixed-model assembly lines. Int J Prod Res 49(21):6451-468 CrossRef
16. Hindi KS, Ploszajski G (1994) Formulation and solution of a selection and sequencing problem in car manufacture. Comput Ind Eng 26(1):203-11 CrossRef
17. Lesert A, Alpan G, Frein Y, Noiré S (2011) Definition of spacing constraints for the car sequencing problem. Int J Prod Res 49(2):963-94 CrossRef
18. Meyr H (2004) Supply chain planning in the German automotive industry. OR Spectrum 26(4):447-70 CrossRef
19. Schneewei? C (2003) Distributed decision making, 2nd edn. Springer, Heidelberg - 作者单位：Jan D?rmer (1)
Hans-Otto Günther (1)
Rico Gujjula (2)
1. Department of Production Management, Technical University of Berlin, H95, Strasse des 17. Juni 135, 10623, Berlin, Germany
2. Complevo GmbH, Marie-Elisabeth-Lüders-Stra?e 1, 10625, Berlin, Germany - 刊物类别：Engineering
- 出版者：Springer New York
- ISSN：1936-6590
文摘
The customization of final products in the automotive industry involves a large number of optional parts and leads to a huge variety of operation times at the various stations of the assembly line. The master production scheduling problem (MPS) for high-variant mixed-model assembly lines is to assign the individual customer-defined models of a basic product type to short-term production periods while anticipating the negative impacts of an unbalanced model sequence at the lower planning level. We propose a mathematical model formulation for the MPS and develop heuristic solution procedures that attempt to minimize the workload variability. Specifically, these procedures anticipate decisions on the mixed-model sequence and the resulting work overload at stations which has to be balanced by the assignment of utility workers. Furthermore, an integrated planning approach for solving the MPS and the production sequencing problem is proposed.