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References
- Z.-L. Chen, “Integrated Production and Outbound Distribution Scheduling: Review and Extensions,†Oper. Res., vol. 58, no. 1, pp. 130–148, Feb. 2010.
- J. M. Garcia and S. Lozano, “Production and vehicle scheduling for ready-mix operations,†in Computers and Industrial Engineering, 2004, vol. 46, no. 4 SPEC. ISS., pp. 803–816.
- J. M. Garcia and S. Lozano, “Production and delivery scheduling problem with time windows,†Comput. Ind. Eng., vol. 48, no. 4, pp. 733–742, Jun. 2005.
- D. Wang, H. Guo, and K. Zhu, “Lot sizing and scheduling problem for production-delivery system with job volume and due date considerations to minimise the total cost while guaranteeing a certain customer service level,†Int. J. Manuf. Res., vol. 9, no. 3, p. 294, 2014.
- S. Suginouchi, T. Kaihara, D. Kokuryo, and S. Kuik, “A Research on Optimization Method for Integrating Component Selection and Production Scheduling under Mass Customization,†Procedia CIRP, vol. 57, pp. 527–532, 2016.
- D. Wang and H. Luo, “Simultaneous Lot-Sizing and Scheduling for Single-Stage Multi-product Production-Distribution System with Due Date Considerations to Minimize Total Logistics Cost,†in 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2016, vol. 1, pp. 200–203.
- D. Wang, O. Grunder, and A. EL Moudni, “Using genetic algorithm for lot sizing and scheduling problem with arbitrary job volumes and distinct job due date considerations,†Int. J. Syst. Sci., vol. 45, no. 8, pp. 1694–1707, Aug. 2014.
- M. L. Seisarrina, I. Cholissodin, and H. Nurwarsito, “Invigilator Examination Scheduling using Partial Random Injection and Adaptive Time Variant Genetic Algorithm,†J. Inf. Technol. Comput. Sci., vol. 3, no. 2, pp. 113–119, 2018.
- W. F. Mahmudy, “Optimisation Of Integrated Multi-Period Production Planning and Scheduling Problem In Flexible Manufacturing System (FMSs) Using Hybrid Genetic Algorithms,†University of South Australia, 2014.
- W. F. Mahmudy, R. M. Marian, and L. H. S. Luong, “Optimization of part type selection and loading problem with alternative production plans in flexible manufacturing system using hybrid genetic algorithms - part 1: Modelling and representation,†in 2013 5th International Conference on Knowledge and Smart Technology (KST), 2013, pp. 75–80.
References
Z.-L. Chen, “Integrated Production and Outbound Distribution Scheduling: Review and Extensions,†Oper. Res., vol. 58, no. 1, pp. 130–148, Feb. 2010.
J. M. Garcia and S. Lozano, “Production and vehicle scheduling for ready-mix operations,†in Computers and Industrial Engineering, 2004, vol. 46, no. 4 SPEC. ISS., pp. 803–816.
J. M. Garcia and S. Lozano, “Production and delivery scheduling problem with time windows,†Comput. Ind. Eng., vol. 48, no. 4, pp. 733–742, Jun. 2005.
D. Wang, H. Guo, and K. Zhu, “Lot sizing and scheduling problem for production-delivery system with job volume and due date considerations to minimise the total cost while guaranteeing a certain customer service level,†Int. J. Manuf. Res., vol. 9, no. 3, p. 294, 2014.
S. Suginouchi, T. Kaihara, D. Kokuryo, and S. Kuik, “A Research on Optimization Method for Integrating Component Selection and Production Scheduling under Mass Customization,†Procedia CIRP, vol. 57, pp. 527–532, 2016.
D. Wang and H. Luo, “Simultaneous Lot-Sizing and Scheduling for Single-Stage Multi-product Production-Distribution System with Due Date Considerations to Minimize Total Logistics Cost,†in 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2016, vol. 1, pp. 200–203.
D. Wang, O. Grunder, and A. EL Moudni, “Using genetic algorithm for lot sizing and scheduling problem with arbitrary job volumes and distinct job due date considerations,†Int. J. Syst. Sci., vol. 45, no. 8, pp. 1694–1707, Aug. 2014.
M. L. Seisarrina, I. Cholissodin, and H. Nurwarsito, “Invigilator Examination Scheduling using Partial Random Injection and Adaptive Time Variant Genetic Algorithm,†J. Inf. Technol. Comput. Sci., vol. 3, no. 2, pp. 113–119, 2018.
W. F. Mahmudy, “Optimisation Of Integrated Multi-Period Production Planning and Scheduling Problem In Flexible Manufacturing System (FMSs) Using Hybrid Genetic Algorithms,†University of South Australia, 2014.
W. F. Mahmudy, R. M. Marian, and L. H. S. Luong, “Optimization of part type selection and loading problem with alternative production plans in flexible manufacturing system using hybrid genetic algorithms - part 1: Modelling and representation,†in 2013 5th International Conference on Knowledge and Smart Technology (KST), 2013, pp. 75–80.