576
Views
4
CrossRef citations to date
0
Altmetric
Review Article

Genetic algorithms for planning and scheduling engineer-to-order production: a systematic review

, , &
Pages 2888-2917 | Received 30 Jan 2023, Accepted 01 Jul 2023, Published online: 18 Jul 2023

References

  • Alba, E., and J. M. Troya. 1999. “A Survey of Parallel Distributed Genetic Algorithms.” Complexity 4 (4): 31–52. https://doi.org/10.1002/(ISSN)1099-0526.
  • Alfieri, A., T. Tolio, and M. Urgo. 2011. “A Project Scheduling Approach to Production Planning with Feeding Precedence Relations.” International Journal of Production Research 49 (4): 995–1020. https://doi.org/10.1080/00207541003604844.
  • Alfieri, A., T. Tolio, and M. Urgo. 2012. “A Two-stage Stochastic Programming Project Scheduling Approach to Production Planning.” The International Journal of Advanced Manufacturing Technology 62 (1-4): 279–290. https://doi.org/10.1007/s00170-011-3794-4.
  • Amjad, M., S. Butt, N. Anjum, I. Chaudhry, Z. Faping, and M. Khan. 2020. “A Layered Genetic Algorithm with Iterative Diversification for Optimization of Flexible Job Shop Scheduling Problems.” Advances in Production Engineering & Management 15 (4): 377–389. https://doi.org/10.14743/apem2020.4.372.
  • Amjad, M. K., S. I. Butt, R. Kousar, R. Ahmad, M. H. Agha, Z. Faping, N. Anjum, and U. Asgher. 2018. “Recent Research Trends in Genetic Algorithm Based Flexible Job Shop Scheduling Problems.” Mathematical Problems in Engineering 2018: 1–32. https://doi.org/10.1155/2018/9270802.
  • Baboolal, K., and P. Hosein. 2021. “Material and Cost Estimation of a Customized Product Based on the Customer's Description.” In 2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA), 31–37. IEEE.
  • Baldwin, J. M. 1896. “A New Factor in Evolution.” The American Naturalist 30 (354): 441–451. https://doi.org/10.1086/276408.
  • Baldwin, J. M. 1897. “Organic Selection.” Nature 55 (1433): 558–558. https://doi.org/10.1038/055558a0.
  • Bhalla, S., E. Alfnes, and H.-H. Hvolby. 2022. “Tools and Practices for Tactical Delivery Date Setting in Engineer-to-order Environments: a Systematic Literature Review.” International Journal of Production Research, 1–33. https://doi.org/10.1080/00207543.2022.2148010.
  • Brachmann, R., and R. Kolisch. 2021. “The Impact of Flexibility on Engineer-to-order Production Planning.” International Journal of Production Economics 239:Article 108183. https://doi.org/10.1016/j.ijpe.2021.108183.
  • Bryan, A., S. Hu, and Y. Koren. 2007, October 15–18. “Concurrent Design of Product Families and Assembly Systems.” International Manufacturing Science and Engineering Conference, Vol. 42908, 803–813, Atlanta, GA, USA.
  • Bryan, A., H. Wang, and J. Abell. 2013. “Concurrent Design of Product Families and Reconfigurable Assembly Systems.” Journal of Mechanical Design 135 (5): Article ID 051001. https://doi.org/10.1115/1.4023920.
  • Cannas, V. G., and J. Gosling. 2021. “A Decade of Engineering-to-order (2010–2020): Progress and Emerging Themes.” International Journal of Production Economics 241:Article ID 108274. https://doi.org/10.1016/j.ijpe.2021.108274.
  • Carvalho, A. N., F. Oliveira, and L. F. Scavarda. 2015. “Tactical Capacity Planning in a Real-world Eto Industry Case: An Action Research.” International Journal of Production Economics 167:187–203. https://doi.org/10.1016/j.ijpe.2015.05.032.
  • Carvalho, A. N., F. Oliveira, and L. F. Scavarda. 2016. “Tactical Capacity Planning in a Real-world Eto Industry Case: A Robust Optimization Approach.” International Journal of Production Economics 180:158–171. https://doi.org/10.1016/j.ijpe.2016.07.019.
  • Chen, Y., F. Gao, and L. Xin. 2005. “R&d Project Process Model and AGA Based Scheduling Algorithm.” In IEEE International Conference Mechatronics and Automation, 2005, Vol. 4, 2200–2205. IEEE.
  • Chen, J., W. Weng, G. Rong, and S. Fujimura. 2015. “Integrating Genetic Algorithm with Time Control for Just-in-time Scheduling Problems.” IFAC-PapersOnLine 48 (3): 893–897. https://doi.org/10.1016/j.ifacol.2015.06.196.
  • Chu, Z., Z. Xu, and F. Xie. 2019. “Experimental Evaluation of Overlapping Strategy for the Multimode Resource-constrained Project Scheduling Problem.” Arabian Journal for Science and Engineering 44 (3): 2503–2517. https://doi.org/10.1007/s13369-018-3211-5.
  • Costantino, F., G. Di Gravio, and F. Nonino. 2015. “Project Selection in Project Portfolio Management: An Artificial Neural Network Model Based on Critical Success Factors.” International Journal of Project Management 33 (8): 1744–1754. https://doi.org/10.1016/j.ijproman.2015.07.003.
  • Darwin, C. 1859. “On the Origin of Species by Means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life”.
  • Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan. 2002. “A Fast and Elitist Multiobjective Genetic Algorithm: Nsga-ii.” IEEE Transactions on Evolutionary Computation 6 (2): 182–197. https://doi.org/10.1109/4235.996017.
  • Du, H., D. Liu, and M.-h. Zhang. 2016. “A Hybrid Algorithm Based on Particle Swarm Optimization and Artificial Immune for An Assembly Job Shop Scheduling Problem.” Mathematical Problems in Engineering 2016: 1–10. https://doi.org/10.1155/2016/3938679.
  • Eiben, A., M. C. Schut, and A. De Wilde. 2006. “Boosting Genetic Algorithms With Self-Adaptive Selection.” In 2006 IEEE International Conference on Evolutionary Computation, 477–482. IEEE.
  • El-Mihoub, T. A., A. A. Hopgood, L. Nolle, and A. Battersby. 2006. “Hybrid Genetic Algorithms: A Review.” Engineering Letters 13 (2): 124–137. https://irep.ntu.ac.uk/id/eprint/10082.
  • Eppinger, S. D., D. E. Whitney, R. P. Smith, and D. A. Gebala. 1989. “Organizing the Tasks in Complex Design Projects.” In Workshop on Computer-Aided Cooperative Product Development, 229–252. Springer.
  • Ghiyasinasab, M., N. Lehoux, S. Ménard, and C. Cloutier. 2020. “Production Planning and Project Scheduling for Engineer-to-order Systems-case Study for Engineered Wood Production.” International Journal of Production Research 59 (4): 1068–1087. https://doi.org/10.1080/00207543.2020.1717009.
  • Goldberg, D. E. 1987. “Simple Genetic Algorithms and the Minimal, Deceptive Problem.” Genetic Algorithms and Simulated Annealing 74–88.
  • Goldberg, D. E., and J. H. Holland. 1989. “Genetic Algorithms and Machine Learning”.
  • Grabenstetter, D. H., and J. M. Usher. 2015. “Sequencing Jobs in An Engineer-to-order Engineering Environment.” Production & Manufacturing Research 3 (1): 201–217. https://doi.org/10.1080/21693277.2015.1035461.
  • Hartmann, S. 1998. “A Competitive Genetic Algorithm for Resource-constrained Project Scheduling.” Naval Research Logistics (NRL) 45 (7): 733–750. https://doi.org/10.1002/(ISSN)1520-6750.
  • Hartmann, S. 2002. “A Self-adapting Genetic Algorithm for Project Scheduling Under Resource Constraints.” Naval Research Logistics (NRL) 49 (5): 433–448. https://doi.org/10.1002/(ISSN)1520-6750.
  • He, L., H. Ishibuchi, A. Trivedi, H. Wang, Y. Nan, and D. Srinivasan. 2021. “A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms.” IEEE Transactions on Evolutionary Computation 25 (6): 1028–1048. https://doi.org/10.1109/TEVC.2021.3076514.
  • He, J., J. Wu, Y. Zhang, Y. Wang, and H. He. 2022. “Large-scale Customized Production Scheduling of Multiagent-based Medical 3D Printing.” Computational Intelligence and Neuroscience 2022: 1–13. https://doi.org/10.1155/2022/6557137.
  • Herrera, F., and M. Lozano. 2003. “Fuzzy Adaptive Genetic Algorithms: Design, Taxonomy, and Future Directions.” Soft Computing 7 (8): 545–562. https://doi.org/10.1007/s00500-002-0238-y.
  • Hicks, C., D. Song, and C. Earl. 2007. “Dynamic Scheduling for Complex Engineer-to-order Products.” International Journal of Production Research 45 (15): 3477–3503. https://doi.org/10.1080/00207540600767772.
  • Holland, J. H. 1975. “Adaptation in Natural and Artificial Systems”.
  • Homem de Mello, L. S., and A. C. Sanderson. 1991. “A Basic Algorithm for the Generation of Mechanical Assembly Sequences.” In Computer-Aided Mechanical Assembly Planning, 163–190. Boston, MA: Springer US.
  • Hong, G., P. Dean, W. Yang, Y. Tu, and D. Xue. 2010. “Optimal Concurrent Product Design and Process Planning Based on the Requirements of Individual Customers in One-of-a-kind Production.” International Journal of Production Research 48 (21): 6341–6366. https://doi.org/10.1080/00207540903252282.
  • Hossain, M. 2010. “Studying the Physics of Design Flow Incorporating Early Information Using a Simulation model.” Ph.D. thesis, Ph. D. thesis.
  • Jiang, C., X. Hu, and J. Xi. 2019a. “A Hybrid Algorithm of Product-service Framework for the Multi-project Scheduling in Eto Assembly Process.” Procedia CIRP 83:298–303. https://doi.org/10.1016/j.procir.2019.04.078.
  • Jiang, C., X. Hu, and J. Xi. 2019b. “Integrated Multi-project Scheduling and Hierarchical Workforce Allocation in the Eto Assembly Process.” Applied Sciences 9 (5): 885. https://doi.org/10.3390/app9050885.
  • Jiang, C., and J. Xi. 2019. “Dynamic Scheduling in the Engineer-to-order (eto) Assembly Process by the Combined Immune Algorithm and Simulated Annealing Method.” Advances in Production Engineering & Management 14 (3): 271–283. https://doi.org/10.14743/apem2019.3.327.
  • Kacem, I., S. Hammadi, and P. Borne. 2002. “Approach by Localization and Multiobjective Evolutionary Optimization for Flexible Job-shop Scheduling Problems.” IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 32 (1): 1–13. https://doi.org/10.1109/TSMCC.2002.1009117.
  • Katoch, S., S. S. Chauhan, and V. Kumar. 2021. “A Review on Genetic Algorithm: Past, Present, and Future.” Multimedia Tools and Applications 80 (5): 8091–8126. https://doi.org/10.1007/s11042-020-10139-6.
  • Kolisch, R. 1996. “Serial and Parallel Resource-constrained Project Scheduling Methods Revisited: Theory and Computation.” European Journal of Operational Research 90 (2): 320–333. https://doi.org/10.1016/0377-2217(95)00357-6.
  • Kolisch, R. 2015. “Shifts, Types, and Generation Schemes for Project Schedules.” Handbook on Project Management and Scheduling Vol. 1:3–16. https://doi.org/10.1007/978-3-319-05443-8.
  • Konak, A., D. W. Coit, and A. E. Smith. 2006. “Multi-objective Optimization Using Genetic Algorithms: A Tutorial.” Reliability Engineering & System Safety 91 (9): 992–1007. https://doi.org/10.1016/j.ress.2005.11.018.
  • Koren, Y., S. Hu, P. Gu, and M. Shpitalni. 2013. “Open-architecture Products.” CIRP Annals 62 (2): 719–729. https://doi.org/10.1016/j.cirp.2013.06.001.
  • Krasnogor, N., and J. Smith. 2005. “A Tutorial for Competent Memetic Algorithms: Model, Taxonomy, and Design Issues.” IEEE Transactions on Evolutionary Computation 9 (5): 474–488. https://doi.org/10.1109/TEVC.2005.850260.
  • Kusturica, W., C. Laroque, D. Gliem, J. Stolipin, and S. Wenzel. 2018. “Estimating Process Duration and Safeguard Project Planning in a One-of-a-Kind Production Environment by the Use of Simulation Techniques.” In 2018 Winter Simulation Conference (WSC), 3909–3920. IEEE.
  • Lee, K.-M., T. Yamakawa, and K.-M. Lee. 1998. “A Genetic Algorithm for General Machine Scheduling Problems.” In 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No. 98EX111), Vol. 2, 60–66. IEEE.
  • Li, X., and L. Gao. 2016. “An Effective Hybrid Genetic Algorithm and Tabu Search for Flexible Job Shop Scheduling Problem.” International Journal of Production Economics 174:93–110. https://doi.org/10.1016/j.ijpe.2016.01.016.
  • Li, H., L. Xiong, Y. Liu, and H. Li. 2018. “An Effective Genetic Algorithm for the Resource Levelling Problem with Generalised Precedence Relations.” International Journal of Production Research 56 (5): 2054–2075. https://doi.org/10.1080/00207543.2017.1355120.
  • Liang, Y., and K.-S. Leung. 2011. “Genetic Algorithm with Adaptive Elitist-population Strategies for Multimodal Function Optimization.” Applied Soft Computing 11 (2): 2017–2034. https://doi.org/10.1016/j.asoc.2010.06.017.
  • Liu, Y., S. C. J. Lim, and W. B. Lee. 2013. “Product Family Design Through Ontology-based Faceted Component Analysis, Selection, and Optimization.” Journal of Mechanical Design 135 (8): Article ID 081007. https://doi.org/10.1115/1.4023632.
  • Liu, X., Y. Xia, M. Chen, and A.-D. Li. 2019. “Integrating Assembly Line Balancing in Product Family Planning Design Under the Multinomial Logit Choice Model.” In 2019 International Conference on Industrial Engineering and Systems Management (IESM), 1–6. IEEE.
  • Luh, P. B., F. Liu, and B. Moser. 1999. “Scheduling of Design Projects with Uncertain Number of Iterations.” European Journal of Operational Research 113 (3): 575–592. https://doi.org/10.1016/S0377-2217(98)00027-7.
  • Ma, Z., Z. He, N. Wang, Z. Yang, and E. Demeulemeester. 2018. “A Genetic Algorithm for the Proactive Resource-constrained Project Scheduling Problem with Activity Splitting.” IEEE Transactions on Engineering Management 66 (3): 459–474. https://doi.org/10.1109/TEM.17.
  • Ma, G., and L. Zhang. 2019. “Exact Overlap Rate Analysis and the Combination with 4d Bim of Time-cost Tradeoff Problem in Project Scheduling.” Advances in Civil Engineering 2019: 1–12. https://doi.org/10.1155/2019/9120795.
  • Maalouf, E., J. Daaboul, J. Le Duigou, and B. Hussein. 2022. “Production Management for Mass Customization and Smart Cellular Manufacturing System: Nsgaii and Smpso for Factory-level Planning.” The International Journal of Advanced Manufacturing Technology 120 (9): 6833–6854. https://doi.org/10.1007/s00170-022-09188-y.
  • Moisan, T., C.-G. Quimper, J. Gaudreault, and S. Michaud. 2014. “Re-Planning with Minimal Perturbation.” MOSIM 2014, 10ème Conférence Francophone de Modélisation, Optimisation et Simulation, Nancy, France.
  • Mosayebi, M., and M. Sodhi. 2020, July 8–12. “Tuning Genetic Algorithm Parameters Using Design of Experiments.” Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 1937–1944, Cancún, Mexico.
  • Moscato, P. 1989. On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts: Towards Memetic Algorithms. Caltech concurrent computation program, C3P Report 826, 1989.
  • Neumann, A., A. Hajji, M. Rekik, and R. Pellerin. 2022a. “A Model for Advanced Planning Systems Dedicated to the Engineer-to-order Context.” International Journal of Production Economics252:Article ID 108557. https://www.sciencedirect.com/science/article/pii/S0925527322001505. https://doi.org/10.1016/j.ijpe.2022.108557.
  • Neumann, A., A. Hajji, M. Rekik, and R. Pellerin. 2022b. “A Two-level Optimization Approach for Engineer-to-order Project Scheduling.” IFAC-PapersOnLine 55 (10): 2587–2592. 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022. https://www.sciencedirect.com/science/article/pii/S2405896322021085. https://doi.org/10.1016/j.ifacol.2022.10.099.
  • Pattanaik, L. N., and R. Kant. 2022. “Optimization of a Multi-objective Lean Assembly Problem with Reconfigurable Machine Cells.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 237 (6-7): 1060–1071. https://doi.org/10.1177/09544054221111895.
  • Pellerin, R., N. Perrier, and F. Berthaut. 2020. “A Survey of Hybrid Metaheuristics for the Resource-constrained Project Scheduling Problem.” European Journal of Operational Research 280 (2): 395–416. https://doi.org/10.1016/j.ejor.2019.01.063.
  • Pellerin, E., L. Pigeon, and S. Delisle. 2004. “Self-Adaptive Parameters in Genetic Algorithms.” In Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI. Vol. 5433, 53–64. Orlando, FL: International Society for Optics and Photonics.
  • Pezzella, F., G. Morganti, and G. Ciaschetti. 2008. “A Genetic Algorithm for the Flexible Job-shop Scheduling Problem.” Computers & Operations Research 35 (10): 3202–3212. https://doi.org/10.1016/j.cor.2007.02.014.
  • Pongcharoen, P., C. Hicks, P. Braiden, and D. Stewardson. 2002. “Determining Optimum Genetic Algorithm Parameters for Scheduling the Manufacturing and Assembly of Complex Products.” International Journal of Production Economics78 (3): 311–322. https://doi.org/10.1016/S0925-5273(02)00104-4.
  • Qian, L., and D. Ben-Arieh. 2009, August 30–September 2. “Joint Pricing and Platform Configuration in Product Family Design with Genetic Algorithm.” International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol. 49057, 49–58, San Diego, CA, USA.
  • Qiu, Y., W. Ji, and C. Zhang. 2019. “A Hybrid Machine Learning and Population Knowledge Mining Method to Minimize Makespan and Total Tardiness of Multi-variety Products.” Applied Sciences 9 (24): 5286. https://doi.org/10.3390/app9245286.
  • Rahman, H. F., R. K. Chakrabortty, S. Elsawah, and M. J. Ryan. 2022. “Energy-efficient Project Scheduling with Supplier Selection in Manufacturing Projects.” Expert Systems with Applications193:Article ID 116446. https://doi.org/10.1016/j.eswa.2021.116446.
  • Schutten, J. M. 1996. “List Scheduling Revisited.” Operations Research Letters 18 (4): 167–170. https://doi.org/10.1016/0167-6377(95)00057-7.
  • Senin, N., R. Groppetti, and D. R. Wallace. 2000. “Concurrent Assembly Planning with Genetic Algorithms.” Robotics and Computer-Integrated Manufacturing 16 (1): 65–72. https://doi.org/10.1016/S0736-5845(99)00058-7.
  • Sevaux, M., K. Sörensen, and N. Pillay. 2018. “Adaptive and Multilevel Metaheuristics”.
  • Simpson, G. G. 1953. “The Baldwin Effect.” Evolution 7 (2): 110–117. https://doi.org/10.2307/2405746.
  • Singh, R. K., V. Panchal, and B. K. Singh. 2018. “A Review on Genetic Algorithm and its Applications.” In 2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT), 376–380. IEEE.
  • Sinha, A. K., and A. Anand. 2021. “Development of a Supply Chain Configuration Model for New Product Development: a Multi-objective Solution Approach.” Soft Computing 25 (13): 8371–8389. https://doi.org/10.1007/s00500-021-05761-x.
  • Sooncharoen, S., P. Pongcharoen, and C. Hicks. 2020. “Grey Wolf Production Scheduling for the Capital Goods Industry.” Applied Soft Computing 94:Article ID 106480. https://doi.org/10.1016/j.asoc.2020.106480.
  • Srinivas, N., and K. Deb. 1994. “Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms.” Evolutionary Computation 2 (3): 221–248. https://doi.org/10.1162/evco.1994.2.3.221.
  • Steward, D. V. 1981. “The Design Structure System: A Method for Managing the Design of Complex Systems.” IEEE Transactions on Engineering Management (3): 71–74. https://doi.org/10.1109/TEM.1981.6448589.
  • Tan, C., H. Chung, K. Barton, S. J. Hu, and T. Freiheit. 2020. “Incorporating Customer Personalization Preferences in Open Product Architecture Design.” Journal of Manufacturing Systems 56:72–83. https://doi.org/10.1016/j.jmsy.2020.05.006.
  • Tan, C., Z. Ng, and C. Xu. 2017. “A Ga-Based Method for Sales Order Allocation in a MTS/MTO Supply Chain.” In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2005–2009. IEEE.
  • Tseng, H.-E., M.-H. Chen, C.-C. Chang, and W.-P. Wang. 2008. “Hybrid Evolutionary Multi-objective Algorithms for Integrating Assembly Sequence Planning and Assembly Line Balancing.” International Journal of Production Research 46 (21): 5951–5977. https://doi.org/10.1080/00207540701362564.
  • Vaagen, H., M. Kaut, and S. W. Wallace. 2017. “The Impact of Design Uncertainty in Engineer-to-order Project Planning.” European Journal of Operational Research 261 (3): 1098–1109. https://doi.org/10.1016/j.ejor.2017.03.005.
  • Varela, R., C. R. Vela, J. Puente, and A. Gomez. 2003. “A Knowledge-based Evolutionary Strategy for Scheduling Problems with Bottlenecks.” European Journal of Operational Research 145 (1): 57–71. https://doi.org/10.1016/S0377-2217(02)00205-9.
  • Viana, M. S., O. Morandin Junior, and R. C. Contreras. 2020. “A Modified Genetic Algorithm with Local Search Strategies and Multi-crossover Operator for Job Shop Scheduling Problem.” Sensors 20 (18): 5440. https://doi.org/10.3390/s20185440.
  • Vie, A., A. M. Kleinnijenhuis, and D. J. Farmer. 2020. “Qualities, Challenges and Future of Genetic Algorithms: A Literature Review.” arXiv preprint arXiv:2011.05277.
  • Wang, L.-C., and H.-L. Shih. 2011. “An Advanced Overlapping Production Planning Model in Manufacturing Supply Chain.” Journal of Manufacturing Technology Management 22 (7): 870–890. https://doi.org/10.1108/17410381111160942.
  • Wang, K., R. Tan, Q. Peng, F. Wang, P. Shao, and Z. Gao. 2021. “A Holistic Method of Complex Product Development Based on a Neural Network-aided Technological Evolution System.” Advanced Engineering Informatics 48:Article ID 101294. https://doi.org/10.1016/j.aei.2021.101294.
  • Whitley, D. 1994. “A Genetic Algorithm Tutorial.” Statistics and Computing 4 (2): 65–85. https://doi.org/10.1007/BF00175354.
  • Wortmann, J. C. 1992. “Production Management Systems for One-of-a-kind Products.” Computers in Industry 19 (1): 79–88. https://doi.org/10.1016/0166-3615(92)90008-B.
  • Wu, J.-Z., X.-C. Hao, C.-F. Chien, and M. Gen. 2012. “A Novel Bi-vector Encoding Genetic Algorithm for the Simultaneous Multiple Resources Scheduling Problem.” Journal of Intelligent Manufacturing 23 (6): 2255–2270. https://doi.org/10.1007/s10845-011-0570-0.
  • Wu, B., P. Lu, J. Lu, J. Xu, and X. Liu. 2022. “A Hierarchical Parallel Multi-station Assembly Sequence Planning Method Based on Ga-dfla.” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 236 (4): 2029–2045. https://doi.org/10.1177/0954406220974065.
  • Wu, Y., X. Zhao, Y. Xu, and Y. Chen. 2020. “A Flexible Planning Methodology for Product Family Assembly Line Based on Improved Nsga_ii.” Assembly Automation 40 (4): 625–639. https://doi.org/10.1108/AA-05-2019-0098.
  • Xie, F., J. Yu, and Z. Xu. 2014. “A Hybrid Genetic Algorithm for Resource-Constrained Project Scheduling with Stochastic Overlapping Modes.” In The 12th International Conference on Industrial Management, Chengdu.
  • Xu, W., Y. Hu, W. Luo, L. Wang, and R. Wu. 2021. “A Multi-objective Scheduling Method for Distributed and Flexible Job Shop Based on Hybrid Genetic Algorithm and Tabu Search Considering Operation Outsourcing and Carbon Emission.” Computers & Industrial Engineering 157:Article ID 107318. https://doi.org/10.1016/j.cie.2021.107318.
  • Xu, K., K. Zhu, and Y. Tao. 2020, November 6–8. “Multi-Process Scheduling Optimization for Small-Batch Orders.” Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering, 870–874, New York, NY, USA.
  • Yang, D., J. R. Jiao, Y. Ji, G. Du, P. Helo, and A. Valente. 2015. “Joint Optimization for Coordinated Configuration of Product Families and Supply Chains by a Leader-follower Stackelberg Game.” European Journal of Operational Research 246 (1): 263–280. https://doi.org/10.1016/j.ejor.2015.04.022.
  • Yang, Y., S. Zhang, Z. Li, and S. Gao. 2006. “Task Planning for Top-Down Collaborative Assembly Design.” In 2006 10th International Conference on Computer Supported Cooperative Work in Design, 1–6. IEEE.
  • Yeh, J.-Y., and T.-H. Wu. 2005. “Solutions for Product Configuration Management: An Empirical Study.” AI EDAM 19 (1): 39–47. https://doi.org/10.1017/S0890060405050043.
  • Zhang, G., L. Gao, X. Li, and P. Li. 2008. “Variable Neighborhood Genetic Algorithm for the Flexible Job Shop Scheduling Problems.” In International Conference on Intelligent Robotics and Applications, 503–512. Springer.
  • Zhang, L., Y. Hu, and Y. Guan. 2019. “Research on Hybrid-load Agv Dispatching Problem for Mixed-model Automobile Assembly Line.” Procedia CIRP 81:1059–1064. https://doi.org/10.1016/j.procir.2019.03.251.
  • Zhu, Z., X. Zhou, D. Cao, and M. Li. 2022. “A Shuffled Cellular Evolutionary Grey Wolf Optimizer for Flexible Job Shop Scheduling Problem with Tree-structure Job Precedence Constraints.” Applied Soft Computing 125:Article ID 109235. https://doi.org/10.1016/j.asoc.2022.109235.
  • Ziegler, C. C., A. Dobhan, and M. Heusinger. 2022. “Applications of Neural Networks in Engineer-to-order Environment.” Procedia CIRP 112:140–145. https://doi.org/10.1016/j.procir.2022.09.052.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.