@article{manda_uzsoy_2021, title={Managing product transitions with learning and congestion effects}, volume={239}, ISSN={["1873-7579"]}, DOI={10.1016/j.ijpe.2021.108190}, abstractNote={The introduction of a new product into an operating factory can have significant adverse impacts on the throughput and cycle time of all products produced in the factory, and thus needs to be managed carefully. In previous work we proposed a production planning model for new product introductions that captures the impact of additional variability caused by the new product and of learning as experience producing the new product is gained. This paper extends the earlier work by incorporating learning through deliberate experimentation using engineering lots and the impact of cycle time on line yield due to delays in detecting adverse events. We formulate a non-convex nonlinear optimization model to determine the mix of production and engineering lots to be processed, and obtain approximate solutions using a genetic algorithm. Numerical experiments with different scenarios show the importance of carefully managing the releases of production and engineering lots and of accelerating learning early in the time horizon through judicious use of engineering lots.}, journal={INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS}, author={Manda, A. B. and Uzsoy, Reha}, year={2021}, month={Sep} }
 @article{manda_gopalswamy_shashaani_uzsoy_2020, title={A SIMULATION OPTIMIZATION APPROACH FOR MANAGING PRODUCT TRANSITIONS IN MULTISTAGE PRODUCTION LINES}, ISSN={["0891-7736"]}, url={http://dx.doi.org/10.1109/wsc48552.2020.9384036}, DOI={10.1109/WSC48552.2020.9384036}, abstractNote={We explore the problem of managing releases into a multistage production system transitioning from producing a mature product in high volume to a new one whose production process is initially unreliable but improves as experience is accumulated. We use simulation optimization to develop solutions and examine the impact of learning at a single machine on the rest of the system. This work lays the foundation for studying product transitions using realistic fab scale simulation models.}, journal={2020 WINTER SIMULATION CONFERENCE (WSC)}, publisher={IEEE}, author={Manda, Atchyuta Bharadwaj and Gopalswamy, Karthick and Shashaani, Sara and Uzsoy, Reha}, year={2020}, pages={1730–1741} }
 @article{manda_uzsoy_2020, title={A Simple Model of Capacity Contention During New Product Introductions}, volume={33}, ISSN={["1558-2345"]}, url={https://doi.org/10.1109/TSM.2020.2981412}, DOI={10.1109/TSM.2020.2981412}, abstractNote={We consider the problem of determining an optimal release schedule for a production facility as it transitions from producing an older product to a newer one. We use simple queueing ideas to model the impact of the new product introduction on the throughput rate and cycle time of both products. We then incorporate the learning gained from accumulated experience in producing the new product to formulate a deterministic optimization model for release planning during product transitions. Since the model is nonlinear and non-convex we use a genetic algorithm to obtain near-optimal solutions. The structure of the optimal solution provides insights into the relationships between the different costs involved in the model. Computational experiments show that the release planning model produces high-quality solutions in reasonable CPU times, and reflects the behavior of the system realistically. The principal insight is that careful management of releases during product transitions has the potential to mitigate many of the adverse effects frequently observed in practice such as longer cycle times for both old and new products.}, number={2}, journal={IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Manda, Atchyuta Bharadwaj and Uzsoy, Reha}, year={2020}, month={May}, pages={240–251} }
 @inproceedings{manda_uzsoy_kempf_kim_2016, title={Modeling the impact of new product introduction on the output of semiconductor wafer fabrication facilities}, booktitle={2016 winter simulation conference (wsc)}, author={Manda, A. B. and Uzsoy, R. and Kempf, K. G. and Kim, S.}, year={2016}, pages={2547–2558} }