Application of discrete event in production scheduling
Proceedings of the 30th conference on Winter simulation
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Benchmarks for scheduling on a single machine against restrictive and unrestrictive common due dates
Computers and Operations Research
Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods
Journal of Scheduling
Computers and Electronics in Agriculture
A new vision-based approach to differential spraying in precision agriculture
Computers and Electronics in Agriculture
A simulation model for capacity planning in sugarcane transport
Computers and Electronics in Agriculture
Investigating the behavior of a shop order manufacturing sistem by using simulation
Proceedings of the Emerging M&S Applications in Industry & Academia / Modeling and Humanities Symposium
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This paper considers a production scheduling problem frequently found in many industries whose raw materials are agricultural products. The study focuses on a production system in processed canned fruit industry as a case study. Common characteristics of the system include: (1) high uncertainties of agricultural raw materials (fresh fruits), both in terms of quality and quantity, which significantly affect the production schedule that is usually planned in advance, (2) multiple types of finished products (can sizes and fruit types), sharing the same resources, thus makes their scheduling interdependent, and (3) the shared resources (retorts) are non-identical which exist to provide services to the bottleneck operation (sterilization) in parallel. The paper has two interrelated objectives: to propose the use of real-time scheduling methods based on dispatching rules for such systems, and to demonstrate the use of computer simulation modeling to imitate the actual production system and how to conduct computational experiment on the simulation model to determine a set of appropriate dispatching rules for the case study industry. Nine real-time, setup dependent, dispatching rules are compared using two types of performance measures: flow time and tardiness. The results show the effectiveness of this approach to supporting the decision-making process in production scheduling of canned fruit products.