Abstract
In this chapter the portfolio approach presented in previous chapters for the selection of primary suppliers and order quantity allocation to mitigate the impact of disruption risks is enhanced also for the recovery process, i.e., for the selection of both primary and recovery suppliers and order quantity allocation to mitigate the impact of disruption risks and optimize the recovery process.
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Problems
Problems
9.1
In the SMIP models presented in this chapter introduce delay penalty when demand \(d_{t}\) for period t is not met by that period.
9.2
In the SMIP models presented in this chapter introduce transition time required for switching to recovery supplier different from the primary supplier.
9.3
Enhance the SMIP models presented in this chapter for the limited output inventory of products at the producer. Formulate the inventory balance constraints that should be added to the models.
9.4
Formulate the mean-risk models Support_ECV(c) and Support_ECV(sl) to minimize expected cost and CVaR of cost or maximize expected service level and CVaR of service level, respectively.
9.5
Enhance model Support_E for multiple recovery modes defined by different recovery time, TTR(i, l) and the associated recovery cost, CTR(i, l) for each supplier i and each disruption level l.
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Sawik, T. (2018). Selection of Primary and Recovery Supply Portfolios and Scheduling. In: Supply Chain Disruption Management Using Stochastic Mixed Integer Programming. International Series in Operations Research & Management Science, vol 256. Springer, Cham. https://doi.org/10.1007/978-3-319-58823-0_9
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DOI: https://doi.org/10.1007/978-3-319-58823-0_9
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-58822-3
Online ISBN: 978-3-319-58823-0
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