Article ID: | iaor19981659 |
Country: | United Kingdom |
Volume: | 24 |
Issue: | 11 |
Start Page Number: | 1025 |
End Page Number: | 1031 |
Publication Date: | Nov 1997 |
Journal: | Computers and Operations Research |
Authors: | Strusevich V.A., Gupta J.N.D., Zwaneveld C.M. |
Keywords: | programming: travelling salesman, computational analysis |
This paper studies two models of two-stage processing with no-wait in process. The first model is the two-machine flow shop, and the other is the assembly model. For both models we consider the problem of minimizing the makespan, provided that the setup and removal times are separated from the processing times. Each of these scheduling problems is reduced to the Traveling Salesman Problem (TSP). We show that, in general, the assembly problem is NP-hard in the strong sense. On the other hand, the two-machine flow shop problem reduces to the Gilmore–Gomory TSP, and is solvable in polynomial time. The same holds for the assembly problem under some reasonable assumptions. Using these and existing results, we provide a complete complexity classification of the relevant two-stage no-wait scheduling models.