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For the purpose of generating a standardized environment to test scheduling solvers on scheduling problems and to rank the results in comparison to other solvers, a simulation-based framework for a dynamic resource allocation test bed is proposed and realized. Our focus is on multiple-machine problem formulations, predictable dynamics, event based control and especially their combination. The framework...
In a typical manufacturing system, jobs are released from a production planning stage to a shop floor, where they are allocated to resources like machines. An optimal or near optimal schedule is generally found for those jobs. In reality, the execution of this schedule is often interrupted by dynamic events like unexpected incoming new jobs, machine breakdowns, etc. A rapid recovery or a self-organized...
The problem of manufacturing scheduling is crucial but difficult due to its computational demands. Many general-purpose meta-heuristics or multi-agent scheduling systems with social- or natural-inspired protocols for agent interacting or decision making have been widely adopted to provide optimal or suboptimal solutions. In this paper, more relevant rules are found from the known optimal solutions...
Through empirical comparison of classical job shop problems (JSP) with multi-machine consideration, we find that the objective to minimize the sum of weighted tardiness has a better wait property compared with the objective to minimize the makespan. Further, we test the proposed Iterative Minimization Micro-model (IMM) heuristic method with the mixed integer programming (MIP) solution by CPLEX. For...
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