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February 17, 2026Open Access

Revised Long-Term Scheduling Model for Multi-Stage Biopharmaceutical Processes

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Authors

VKVaibhav KumarMSMunawar A. Shaik

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Overview

This work demonstrates improved scheduling in biopharmaceuticals, suggesting enhanced production efficiency.

Key Points

  • To develop a revised scheduling model that addresses production planning in biopharmaceutical manufacturing.
  • Develop a mixed-integer linear programming (MILP) model.
  • Incorporate constraints for delivery timing and penalties for late delivery.
  • Test the model using illustrative examples to assess performance.
  • Reduced optimum event counts by two to three in practical applications.
  • Achieved up to 7% improvement over two existing benchmark models.
  • Enhanced computational efficiency with fewer binary and continuous variables.

Cite This Study

Kumar et al. (2026) studied this question.

synapsesocial.com/papers/699405774e9c9e835dfd6597https://doi.org/10.3390/mca31010032
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Improved scheduling model for a multistage biopharmaceutical process in a multiproduct facility2024
  2. 2Dynamic and multi-resource flexible job shop scheduling in pharmaceutical manufacturing: A MILP-based decision support tool2026
  3. 3Biopharmaceutical Process Optimization with Simulation and Scheduling Tools2014
  4. 4Population-Based Metaheuristic Algorithms for a Hybrid Batch-Continuous Production Scheduling Problem in a Distributed Pharmaceutical Supply Chain2026
  5. 5A unified MILP framework for integrated serial-parallel production batching and inter-factory delivery in multi-factory environments2026