Integrated lot sizing and blending problems

Fiorotto, Diego Jacinto; Jans, Raf; Araújo, Silvio Alexandre de

doi:10.1016/j.cor.2021.105255

Cited by 6 publications

(1 citation statement)

References 36 publications

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“…This means their models cannot be applied to products requiring multiple raw materials (MRM). The studies also assumed that product demand is deterministic (Fiorotto et al, 2021) without any consideration for stochastic demand.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Production-Inventory Model with Multi-Material, Quality Degradation, and Probabilistic Demand: From Bibliometric Analysis to A Robust Model

Utama

Santoso

Hendrawan

et al. 2022

Indonesian J. Sci. Technol

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An adequate sustainable production inventory model is expected to represent complex real-life cases involving fuel, emissions, and electricity costs as well as multi-materials, quality degradation, and probabilistic demand. Therefore, this study was conducted to develop this kind of model to determine the number of raw material shipments (), production cycle time (), and the number of finished goods delivered (n) to maximize the Expected Total Profit (ETP). The proposed model is based on a bibliometric literature analysis of the sustainable production-inventory problem which is visualized using the VOSviewer. Moreover, a sophisticated Harris-Hawks Optimization (HHO) algorithm was proposed to solve the problems identified in the sustainable production inventory model optimization. It is also important to note that three numerical cases were provided to evaluate the performance of the algorithm. The findings showed that the suggested HHO method outperforms the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in maximizing ETP and this means it is better for ETP optimization. It was also discovered from the sensitivity analysis that an increase in the rate of quality degradation (k) led to a reduction in both the ETP and T.

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Section: Introductionmentioning

confidence: 99%