Abstract
The wide usage of information technologies in production has led to the Fourth Industrial Revolution, which has enabled real data collection from production tools that are capable of communicating with each other through the Internet of Things (IoT). Real time data improves production control especially in dynamic production environments. This study proposes a decision support system (DSS) designed to increase the performance of dispatching rules in dynamic scheduling using real time data, hence an increase in the overall performance of the job-shop. The DSS can work with all dispatching rules. To analyze its effects, it is run with popular dispatching rules selected from the literature on a simulation model created in Arena®. When the number of jobs waiting in the queue of any workstation in the job-shop falls to a critical value, the DSS can change the order of schedules in its preceding workstations to feed the workstation as soon as possible. For this purpose, it first determines the jobs in the preceding workstations to be sent to the current workstation, then finds the job with the highest priority number according to the active dispatching rule, and lastly puts this job in the first position in its queue. The DSS is tested under low, normal, and high demand rate scenarios with respect to six performance criteria. It is observed that the DSS improves the system performance by increasing workstation utilization and decreasing both the number of tardy jobs and the amount of waiting time regardless of the employed dispatching rule.
Highlights
Production is the transformation of natural resources to value-added products or services to meet consumer needs
To reduce the effects of randomness on results, the simulation model was run under 50 replications for each scenario and the averages of performance criteria were obtained
Work in Process (Wip): This criterion attempted to determine whether the scenarios increase the work load within the system
Summary
Production is the transformation of natural resources to value-added products or services to meet consumer needs. In order to manage the production well, it is necessary to meet the consumer demands in terms of price, time, quantity, and quality, while decreasing the inventory levels and increasing the stock cycle speed/service level. At this point, questions such as which product, how many, which features, where, and by whom, should be answered to minimize production costs or maximize profits of an organization. In a job-shop production environment, production is mostly carried out according to the customer order, the due date of which is usually set by the customer. The coordination of production resources in a job-shop production environment is often difficult. This challenge necessitates the use of advanced production planning and control systems in job-shop environments
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