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Rounding heuristics for multiple product dynamic lot-sizing in the presence of queueing behavior
(Elsevier, 2018-12)
We present heuristics for solving a difficult nonlinear integer programming (NIP) model arising from a multi-item single machine dynamic lot-sizing problem. The heuristic obtains a local optimum for the continuous relaxation ...
Load dependent lead time modelling: a robust optimization approach
(IEEE, 2018-01-04)
Although production planning models using nonlinear CFs have shown promising results for semiconductor wafer fabrication facilities, the lack of an effective methodology for estimating the CFs is a significant obstacle to ...
Multi-dimensional clearing functions for aggregate capacity modelling in multi-stage production systems
(Informa, 2017)
Nonlinear clearing functions have been proposed in the literature as metamodels to represent the behaviour of production resources that can be embedded in optimisation models for production planning. However, most clearing ...
The value of quality grading in remanufacturing under quality level uncertainty
(Taylor & Francis, 2021)
In remanufacturing, variability in quality levels of available cores (end-of-life products) has an impact on both the process cost and the process time. While previous research suggests that quality grading adds value, ...
Capacitated stochastic lot-sizing and production planning problem under demand uncertainty
(Elsevier, 2022)
This paper proposes two multi-period, multi-item capacitated stochastic lot-sizing problems under demand uncertainty. We model uncertainty via a scenario tree. The first model considers production, inventory, backlogging, ...
Multi-stage scenario-based stochastic programming for managing lot sizing and workforce scheduling at Vestel
(Springer, 2023-12)
This study proposes a multi-stage stochastic production planning approach for a joint lot sizing and workforce scheduling problem under demand uncertainty. Scenario trees are used to model uncertainty in demand, and a ...
Production planning with flexible manufacturing systems under demand uncertainty
(Taylor & Francis, 2024)
This paper delves into the impacts of an ongoing global crisis on the resilience of supply chains. Furthermore, it proposes measures to address and mitigate the disruptions caused by the prevailing uncertainties. For ...
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