It is necessary to emphasize both the process and results of performance management to
find the balance between quality and quantity needed to ensure the sustainable …

Multi-objective optimization model for uncertain crop production under neutrosophic fuzzy
environment: A case study Page 1 AIMS Mathematics, 8(3): 7584–7605. DOI: 10.3934/math.2023380 …

Purpose This study aims to investigate a reliability-level demand-oriented pharmaceutical
supply chain design with maximal anticipated demand coverage. Different hospitals with the …

Many decision-making problems can solve successfully by traditional optimization methods
with a well-defined configuration. The formulation of such optimization problems depends on …

The design (decision) variables in the presented article of a multi-objective interval fractional
optimization problem based on a linear function are assumed to take the form of a closed …

In supply chain management, the selection of suppliers is vital and plays a valuable role in
the performance of organizations. A hierarchical structure, with different levels in the …

Multiobjective optimization techniques have much importance while solving real-life
problems. There may get chances of neutral thoughts and hesitations in real-life problems …

In real-world problems, the parameters of optimization problems are uncertain. A class of
multilevel linear programming (MLLP) with uncertainty problem models cannot be …

Rough set theory, presented by Pawlak in 1981, is one of the most well‐known methods for
communicating ambiguity by estimating an item based on some knowledge rather than …

Consideration and management of uncertainties are critical in effective decision-making in
production-distribution planning problems. Further, these decisions often involve multiple …