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주문 생산 방식을 따르는 혼합 흐름 공정에서의일정계획에 관한 연구
Scheduling Methods for a Hybrid Flowshopwith Dynamic Order Arrival 원문보기

대한산업공학회지 = Journal of the Korean Institute of Industrial Engineers, v.32 no.4, 2006년, pp.373 - 381  

이근철 (건국대학교 경영대학 경영.경영정보학부 경영학전공)

Abstract AI-Helper 아이콘AI-Helper

This paper considers a scheduling problem for a hybrid flowshop with dynamic order arrival. A hybrid flowshop is an extended form of a flowshop, which has serial stages like a flowshop but there can be more than one machine at each stage. In this paper, we propose a new method for the problem of sch...

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제안 방법

  • The changeover time of a lot at each stage can be known from its product type. Further assumptions in this study are: an infinite buffer at each stage; no transportation time between stages; no machine breakdown; and no job split or preemption.
  • In this paper, we fOcused on a hybrid flowshop scheduling problem with the objective of minimizing mean tardiness of orders which arrive dynamically and the changeover operations are needed when lots of the different product types are processed consecutively on the same machine. We tested two types of scheduling methods for the hybrid flowshop scheduling problem using the simulation model.
  • If an order is not completed by the end of the simulation time, tardiness of the order is obtained with estimated completion time of the order, C, which is calculated as (1+ g)/«, where I is the amount of inventory preceding the order, q is the uncompleted quantity of the order, and 杪 is the production rate of the last stage. In this study, the 4 rules for MVPM and one for OVPM were tested for each problem set. The model was coded with C language and all tests were carried out on a Linux machine with AMD Athlon process of 1.
  • generated. In this study, to solve the scheduling problem, our algorithm generates multiple alternative sequences of the target orders and evaluates the generated sequences, obtaining a schedule for each alternative sequence. After the evaluation, one sequence that gives the best performance, i.
  • Consequently, to the best of our knowledge, there is no study of HFS scheduling problems considering all these characteristics (dynamic arrival, due date commitment, and changeover times), even though covering such characteristics in a formulation could make the problem more practical. In this study, we focus on the HFS scheduling problem with the objective of minimizing mean tardiness of orders, while orders arrive dynamically and changeover operations between different product types of lots occur.
  • The other is Order View Prioritizing Method (OVPM) in which more sophisticated method of prioritizing is used than MVPM. To evaluate the performance of the considered scheduling methods, computational experiments were done with a simulation model. Various results of the experiments showed that an OVPM outperformed all MVPMs.
  • same machine. We tested two types of scheduling methods for the hybrid flowshop scheduling problem using the simulation model. One is Machine View Prioritizing Method (MVPM), which is same as the typical list scheduling approach with the dispatching rules.
  • That is, a big penalty value is added on the priority value of a lot if the lot causes a changeover operation. With this modification, we rename the above rules as SEDD, SSLACK, and SMDD. For example, when we use SEDD for the prioritizing, the priority value of a lot which causes a changeover operation would be ‘100 xt + df while that of a lot which does not is just ‘ d「.

데이터처리

  • To see the impact of the factors (i.e. the number of stages, the due date tightness, and the range of order size) on the performance, an analysis of variance (ANOVA) was done on the solution values (i.e. mean tardiness of orders), and results are given in table 2. The results showed that performance of the scheduling methods was significantly affected by the number of stages and the range of order size at the significance level of 0.

이론/모형

  • In addition to the above three rules, we use the ATCS rule which was proposed by Lee and Pinedo (1997). In this study, the priority function of the ATCS, which was originally devised for parallel machine scheduling with sequence-dependent setup times, is modified as
  • Therefore, the priorities can be obtained based on up-to-date information of the system status when a list scheduling approach with a dispatching rule is used. In this paper, we call this kind of list scheduling approach, which uses dispatching rules for prioritizing, the Machine View Prioritizing Method (MVPM), because a lot is selected from the machine’s point of view. On the other hand, we suggest an approach, called Order View Prioritizing Method (OVPM), which has a different notion to MVPM.
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참고문헌 (21)

  1. Alisantoso, D., Khoo, L. P., and Jiang, P. Y. (2003), An immune algorithm approach to the scheduling of a flexible PCB flow shop. International Journal of Advanced Manufacturing Technology, 22, 819-827 

  2. Azizoglu, M., Cakmak, E. and Kondakci, S. (2001), A flexible flowshop problem with total flow time minimization. European Journal of Operational Research, 132, 528-538 

  3. Bengu, G. (1994), A simulation-based scheduler for flexible flowlines. International Journal of Production Research, 32, 321-344 

  4. Brah, S. A. (1996), A comparative analysis of due date based job sequencing rules in a flow shop with multiple processors. Production Planning and Control, 7, 362-373 

  5. Brah, S. A. and Loo, L. L. (1999), Heuristics for scheduling in a flow shop with multiple processors. European Journal of Operational Research, 113, 113-122 

  6. Cheng, J., Karuno, Y., and Kise, H. (2001), A shifting bottleneck approach for a parallel machine flowshop scheduling problem. Journal of the Operations Research Society of Japan, 44, 140-156 

  7. Choi, S-W., Kim, Y-D., and Lee, G-C. (2005), Minimizing total tardiness of orders with reentrant lots in a hybrid flowshop. International Journal of Production Research, 43, 2049-2067 

  8. Guinet, A. G. P. and Solomon, M. M. (1996), Scheduling hybrid flowshops to minimize maximum tardiness or maximum completion time. International Journal of Production Research, 34,1643-1654 

  9. Gupta, J. N. D., Hariri, A. M. A., and Potts, C. N. (1997), Scheduling a two-stage flow shop with parallel machines at the first stage. Annals of Operations Research, 69, 171-191 

  10. Huang, W. and Li, W. (1998), A two-stage hybrid flowshop with uniform machines and setup times. Mathematical and Computer Modelling, 27, 27-45 

  11. Jin, Z. H., Ohno, K., Ito, T., Elmaghraby, S. E. (2002), Scheduling hybrid flowshops in printed circuit board assembly lines. Production and Operations Management, 11, 16-230 

  12. Kis, T. and Pesch, E. (2005), A review of exact solution methods for the on-preemptive multiprocessor flowshop problem. European Journal of Operational Research, 164, 592-608 

  13. Kochhar, S. and Morris, R. J. T. (1987), Heuristic methods for flexible flow line scheduling, Journal of Manufacturing Systems, 6, 299-314 

  14. Kurz, M. E. and Askin, R. G. (2003), Comparing scheduling rules for flexible flow lines. International Journal of Production Economics, 85, 371-388 

  15. Lee, G-C., Kim, Y-D., Kim, J-G., and Choi, S-H. (2003), A dispatching rule-based approach to production scheduling in a printed circuit board manufacturing system. Journal of the Operational Research Society, 54,1038-1049 

  16. Lee, G-C., Kim, Y-D., and Choi, S-W. (2004), Bottleneck-focused scheduling for a hybrid flowshop. International Journal of Production Research, 42, 165-181 

  17. Lee, Y. H. and Pinedo, M. (1997), Scheduling jobs on parallel machines with sequence-dependent setup times. European Journal of Operational Research, 100, 464-474 

  18. Moursli, O. and Pochet, Y. (2000), A branch-and-bound algorithm for the hybrid flowshop. International Journal of Production Economics, 64, 113-125 

  19. Nawaz, M., Enscore, E., and Ham, I. (1983), A heuristic algorithm for the m-machine, n-job flowshop sequencing problem. OMEGA, The International Journal of Management Science, 11, 91-95 

  20. Quadt, D. (2004), Lot-sizing and scheduling for flexible flow lines, Lecture notes in economics and mathematical systems, Springer, Berlin Germany 

  21. Wang, H. (2005), Flexible flow shop scheduling: optimum, heuristics and artificial intelligence solutions, Expert Systems, 22, 78-85 

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