Abstract
In this study, we consider an Assemble-to-Order (ATO) system with multiple components, common machines, and multiple customer classes. We first identify the research problems related to all the above-mentioned system features. Thereafter, as the solution methodology, we propose different policies for the described problems. We develop a simulation model of the system and benefit from Genetic Algorithm (GA) metaheuristic that finds near-optimal solutions for inventory control and rationing policies. The simulation model of a quite general ATO system that is integrated with a Genetic algorithm provides solutions for several real-life ATO practices.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhao, Y., Simchi-Levi, D. (2006). Performance analysis and evaluation of assemble-to-order systems with stochastic sequential lead times. Oper. Res. 54(4), 706–724 (2006)
Iravani, S., Luangkesorn, K., Simchi-Levi, D.: On assemble-to-order systems with flexible customers. IIE Trans. 35(5), 389–403 (2003)
Dayanik, S., Song, J.-S., Hu, S.: The effectiveness of several performance bounds for capacitated production, partial-order-service, assemble-to-order systems. Manuf. Serv. Oper. Manage. 5(3), 230–251 (2003)
Plambeck, E., Ward, A.: A separation principle for assemble-to-order systems with expediting. Working paper, Stanford University, Stanford, CA (2003)
Iravani, S., Luangkesorn, K., Simchi-Levi, D.: A general decomposition algorithm for parallel queues with correlated arrivals. Queueing Syst. 47, 313–344 (2004)
DeCroix, G.A., Song, J.-S., Zipkin, P.H.: Managing an assemble-to-order system with returns. Manuf. Serv. Oper. Manage. 11(1), 144–159 (2009)
Shi, J., Zhao, Y.: Component commonality under no-holdback allocation rules. Oper. Res. Lett. 42(6–7), 409–413 (2014)
Elhafsi, M., Camus, H., Craye, E.: Optimal control of a nested-multiple-product assemble-to-order system. Int. J. Prod. Res. 46(19), 5367–5392 (2008)
Nadar, E., Akcay, A., Akan, M., Scheller-Wolf, A.: Replenishment and fulfillment based aggregation for general assemble-to-order systems (2015)
Lu, L., Song, J.-S., Zhang, H.: Optimal and asymptotically optimal policies for assemble-to-order N-and W-systems. Naval Res. Logistics 62(8), 617–645 (2015)
Elhafsi, M., Mishra, B.K., Prasad, A., Srinivasan, D.: Pricing and capacity planning for product-line expansion and reduction. Int. J. Prod. Res. 55(18), 1–18 (2017)
Nadar, E., Akcay, A., Akan, M., Scheller-Wolf, A.: The benefits of state aggregation with extreme-point weighting for assemble-to-order systems. Oper. Res. 66(2018), 1040–1057 (2018)
Wiśniewski, T., Rymaszewski, S.: The use of simulation and genetic algorithm with different genetic operators to optimize manufacturing system. Simul. Model. Pract. Theory 35, 69–85 (2013)
Dao, S.D., Abhary, K., Marian, R.: Optimisation of assembly scheduling in VCIM systems using genetic algorithm. J. Ind. Eng. Int. 13(3), 275–296 (2017). https://doi.org/10.1007/s40092-017-0183-0
Demir D., et al.: Production scheduling at a powder coating company. In: Durakbasa N.M., Gençyılmaz, M.G. (eds.) Digital Conversion on the Way to Industry 4.0. ISPR 2020. Lecture Notes in Mechanical Engineering, pp. 989–1001. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-62784-3_82s
Horng, S.C., Yang, F.Y.: Optimal base-stock policy of the assemble-to-order systems. Artif. Life Robot. 17, 47–52 (2012). https://doi.org/10.1007/s10015-012-0013-9
Saracoglu, I., Topaloglu, Ş, Keskinturk, T.: A genetic algorithm approach for multi-product multi-period continuous review inventory models. Expert Syst. Appl. 41(2014), 8189–8202 (2014)
Ha, A.Y.: Optimal dynamic scheduling policy for a make-to-stock production system. Oper. Res. 45, 42–53 (1997)
Fadiloglu, M.M., Bulut, Ö.: A dynamic rationing policy for continuous-review inventory systems. Eur. J. Oper. Res. 202, 675–685 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Saracalıoğlu, N. et al. (2022). Production and Inventory Control of Assemble-to-Order Systems. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds) Digitizing Production Systems. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-90421-0_65
Download citation
DOI: https://doi.org/10.1007/978-3-030-90421-0_65
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90420-3
Online ISBN: 978-3-030-90421-0
eBook Packages: EngineeringEngineering (R0)