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Furniture production scheduling designed for reducing weather impacts

In the paper, we design new dispatching rules for the job sequencing problem in the machine shop of a wood furniture factory. The main aim is to reduce the possibility that quality problems happen resulting from “bad” weather. First, three indices-risky duration, risk magnitude and sensitivity are established to characterize every job, where risky duration and risk magnitude involve weather conditions. Based on the three indices, the job suitability, derived by using the fuzzy decision method, is integrated with traditional heuristics to compute the dispatching priority of each job. And a suitability tunning factor is established to regulate the magnitude of the job suitability. Then, we design a measure-moisture penalty to evaluate the effectiveness of our dispatching rules. Finally, large-scale experiments are provided to show that our dispatching rules can greatly reduce the risk that quality problems occur while maintaining low weighted flowtime/tardiness.