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March 14, 2026Journal of Applied MathematicsOpen Access

Optimization of Tomato Processing and Agrofarm Logistics Through Mathematical Programming

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Authors

BABernard Atta AdjeiDODominic OtooCSCharles Sebil

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Overview

Mathematical programming improves profitability in tomato processing through optimized supply chain strategies.

Key Points

  • The research aims to optimize tomato processing and logistics to meet rising demand efficiently.
  • Formulated a mixed-integer linear programming model
  • Analyzed economic sustainability of fresh and processed tomatoes
  • Conducted two analyses using production levels as parameters or variables
  • Identified profitability thresholds for fresh tomatoes to be GH¢846 for farmers and GH¢900 for factories
  • Allowed farmers to maintain profitability at tomato prices as low as GH¢478
  • Reduced total transportation distance by 5095 km and cut trips by 208 compared to existing methods

Cite This Study

Adjei et al. (2026) studied this question.

synapsesocial.com/papers/69b4ada918185d8a39801585https://doi.org/10.1155/jama/4918539
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