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Fuzzy scheduling

Chipperfield, AJ., Bica, B., Eleming, P.J. Fuzzy Scheduling Control of a Gas Turbine Aero-Engine A Multiobjective Approach. IEEE Trans, on Indus. Elec. 49(3) (2002)... [Pg.340]

Slany, W. (1994), Scheduling as a Fuzzy Multiple Criteria Optimization Problem. CD-Technical... [Pg.1789]

Tsujimura, Y, Park, S., Chang, S., and Gen, M. (1993), An Effective Method for Solving Flow Shop Scheduling Problems with Fuzzy Processing Times, Computers and Industrial Engineering, Vol. 25, pp. 239-242. [Pg.1790]

Development of specialised network algorithms for radioactive material routing and scheduling strategies that explicitly recognise the multi-objective and fuzzy nature of the associated risks, and that may be applied on-line in conjunction with real-time information on shipment location as well as up-to-the-minute updated risk assessments Development of computer software to achieve optimum strategy for safe transportation of radioactive materials using fuzzy set theory methods. [Pg.212]

Monfared MAS, Yang JB (2004) Design of an intelligent manufacturing scheduling and control system using fuzzy logic sensitivity analysis and parameter optimization. J Intell Fuzzy Syst 15(2) 89-104... [Pg.567]

Ishibuchi, H., Yamamoto, N., Murata, T. and Tanaka, H., 1994. Genetic algorithms and neighborhood search algorithms for fuzzy flowshop scheduling problems. Fuzzy Sets and Systems, 67(1), 81-100. [Pg.75]

Optimizing fabric spreading and cutting schedules in apparel production using genetic algorithms and fuzzy set theory... [Pg.132]

To optimize a fuzzy fabric-cutting schedule by GAs, the operation procedure begins by randomly generating an initial population of integer strings in which each string represents a job processing sequence, as shown in Fig. 7.4. Evolution... [Pg.140]

The apparel manufacturing environment is typically dynamic. Apart from the imcertainties caused by the fuzzy and resource-competing internal demands, job processing times are fuzzy due to hmnan factors, machine breakdowns, insertion of msh orders, and so on (Mok et al., 2007). Research on the optimization of JIT schedules with fiizzy job processing time and production order due times is currently under investigation by the research team. [Pg.150]

Mok, P.Y., Kwong, C.K. and Wong, W.K., 2007. Optimisation of fault-tolerant fabric-cutting schedules using genetic algorithms and fuzzy set theory, European Journal of Operational Research, 177(3), 1876-1893. [Pg.151]

Slowihski, R. and Hapke, M, 2000. Scheduling under Fuzziness, Physica-Verlag Heidelberg New York. [Pg.151]

Figure 1. Logical scheme of the risk based inspection scheduling. The fuzzy engine is highlighted in gray. Figure 1. Logical scheme of the risk based inspection scheduling. The fuzzy engine is highlighted in gray.
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