On The Application Of Multi-Objective Linear Programming To Niger Mills Company Plc Calabar, Cross River State, Nigeria

Authors

  • Paschal Bisong Nyiam

    Department of Statistics, University of Calabar, Calabar, Nigeria
    Author
  • Afolayan A. Sunday

    Department of Statistics, University of Calabar, Calabar Cross Tiver State, Nigeria
    Author

DOI:

https://doi.org/10.5281/zenodo.21737514

Keywords:

Multi-objective Linear Programming; Extended Multi-objective Simplex Algorithm; Interactive MOLP explorer; Nondominated points; Efficient solutions.

Abstract

This paper applies the multi-objective linear programming (MOLP) model to solve a real-world Niger Mills Company Plc Problem, Calabar, Cross River State, Nigeria for the first time. Several visits were made to the Company for the purpose of data collection. These data were used to identify and formulate the Niger Mills Company’s problem as an MOLP problem. The problem was solved with our Matlab implementation of the extended multi-objective simplex algorithm (EMSA) of Nyiam & Salhi (2021a). A set of four (4) nondominated points (objective values) were returned by EMSA which are devoid of redundant ones. This result was further confirmed by the interactive multi-objective linear programming explorer (iMOLPe) of Alves et al. (2015) which implements the Vector Maximization Approach (VMA) of Steuer (1986) that also return the same set of nondominated points. Based on the result obtained, three different production plans were suggested for the Company’s implementation while one nondominated point was recommended for deletion from being considered.

Author Biographies

  • Paschal Bisong Nyiam, Department of Statistics, University of Calabar, Calabar, Nigeria

     

     

     

  • Afolayan A. Sunday, Department of Statistics, University of Calabar, Calabar Cross Tiver State, Nigeria

     

     

     

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Published

2026-07-24

How to Cite

On The Application Of Multi-Objective Linear Programming To Niger Mills Company Plc Calabar, Cross River State, Nigeria. (2026). Applied Science, Computing, and Energy, 4(5), 659-676. https://doi.org/10.5281/zenodo.21737514

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