Applying Goal Programming Model and Data Envelopment Analysis to Enhance Sustainable Agricultural Efficiency

  • Ibrahim Zeghaiton Chaloob Collage of Business Administrations and Financial Sciences, Al-Esra’a University. Baghdad, Iraq
  • Jehan Saleh Ahmed Department of Business Administration, Collage of Administration Sciences and Financial, Fallujah University, Anbar 31002, Iraq
  • Moudher Kh. Abdal-hammed Department of Public Administration, College of Administration and Economics, Tikrit University, Tikrit, Iraq.
  • Evan Nadhim Queensland University Of Technology
DOI: https://doi.org/10.19139/soic-2310-5070-3310
Keywords: Sustainable Agriculture, Goal Programming, Data Envelopment Analysis, Multi-objective Optimisation, Agricultural Efficiency

Abstract

Optimising resource use for efficiency enhancement can be achieved by balancing multiple objectives/goals (i.e., economic, environmental, and social) that serve sustainable agriculture. Integrating a hybrid model of Goal Programming (GP) and Data Envelopment Analysis (DEA) proposed in this paper improves decision-making in agriculture. This model has addressed the complexities of multiple objective goals in sustainable agriculture. As a case study, the empirical results of such a hybrid model have enhanced the efficiency through optimising resource use by balancing the competing goals. The flexibility of this model makes it adaptable to various scenarios in the agriculture sector.
Published
2026-03-27
How to Cite
Chaloob, I. Z., Ahmed, J. S., Abdal-hammed, M. K., & Nadhim, E. (2026). Applying Goal Programming Model and Data Envelopment Analysis to Enhance Sustainable Agricultural Efficiency. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-3310
Issue
Online First
Section
Research Articles
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