lower bounds as well as nine efficient heuristics for solving the problem with the objective of minimizing makespan. The … Neighborhood Search (GVNS) and Grey Wolf Optimizer to improve the heuristic solutions. Comparison of employed algorithms on … randomly generated instances indicates that GVNS outperforms other heuristics. The performance of proposed heuristics and meta-heuristics …

intensely challenges real time adaptive production scheduling and control. Indeed, many of the most popular heuristics continue … to use Johnson’s algorithm (1954) as their core. This paper presents a state space (SS) heuristic, integrated with a … closed-loop feedback control structure, to achieve adaptive production scheduling and control in OKP. Our SS heuristic …

Heuristics based on dispatching rules are still widely used in practice as methods for effective scheduling systems … implementing novel dispatching rules into twostage heuristics in order to solve group scheduling problems in a job shop … manufacturing cell. By a comprehensive simulation study these heuristics are evaluated and compared to established effective …

gap between theory and practice we have considered the real constraints and the criteria used by planners. The problem … considered has been formulated as a mixed integer programming. Further, two competitive heuristic procedures have been developed …