Fundamentals of data structures in PASCAL
Fundamentals of data structures in PASCAL
Process planning and scheduling—a method of integration for productivity improvement
Computers and Industrial Engineering
Genetic Algorithms
Computers and Industrial Engineering - Special issue: Selected papers from the 31st international conference on computers & industrial engineering
A simulated annealing approach to a bi-criteria sequencing problem in a two-stage supply chain
Computers and Industrial Engineering
Analysis of a borderless fab scenario in a distributed simulation testbed
WSC '04 Proceedings of the 36th conference on Winter simulation
A genetic algorithm for dynamic advanced planning and scheduling (DAPS) with a frozen interval
Expert Systems with Applications: An International Journal
A heuristic algorithm for master planning that satisfies multiple objectives
Computers and Operations Research
Supply chain optimisation using evolutionary algorithms
International Journal of Computer Applications in Technology
A Genetic Algorithm for Integration of Process Planning and Scheduling Problem
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
Computers and Industrial Engineering
Optimization of production plan through simulation techniques
WSEAS Transactions on Information Science and Applications
Computers and Industrial Engineering - Special issue: Selected papers from the 31st international conference on computers & industrial engineering
A simulated annealing approach to a bi-criteria sequencing problem in a two-stage supply chain
Computers and Industrial Engineering
Computers and Industrial Engineering
A genetic approach to two-phase optimization of dynamic supply chain scheduling
Computers and Industrial Engineering
Computers and Operations Research
Computers and Operations Research
A genetic algorithm for integration of process planning and scheduling in a job shop
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Expert Systems with Applications: An International Journal
Mining event logs to support workflow resource allocation
Knowledge-Based Systems
Appropriate Evolutionary Algorithm for Scheduling in FMS
International Journal of Applied Evolutionary Computation
Scheduling with an outsourcing option on both manufacturer and subcontractors
Computers and Operations Research
Journal of Intelligent Manufacturing
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This paper considers advanced planning and scheduling (APS) in which each customer order has a due date and outsourcing is available. We present a model for APS that requires an absolute due date with outsourcing in a manufacturing supply chain. In practice, planning and scheduling are interrelated and should be solved simultaneously with outsourcing to ensure that the due dates of customer orders are met. The proposed model considers alternative process plans for job types, with precedence constraints for job operations. Such a model has not been treated in the literature. The integrated states include: (a) selecting the best machine for each operation, (b) deciding the sequence of operations, (c) picking the operations to be outsourced, and (d) minimizing the makespan for the due date of each order. To solve the model, a genetic algorithm (GA)-based heuristic approach was developed. In numerical experiments, the GA-based approach efficiently solved the APS model, and produced the best process plans (operation sequence and machine selection with outsourcing) and schedules for all orders.