Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …

In the recent competitive market of transportation business, it is becoming increasingly
difficult to improve the facilities for retailer services. Recently, several kinds of policies are …

Fermatean fuzzy sets are a more efficient, flexible, and general model for dealing with
uncertainty as compared to Pythagorean fuzzy sets. The multi-objective transportation …

To address uncertainty and hesitation of a real-life problem, interval-valued intuitionistic
fuzzy sets (IVIFSs) have received increasing interest among researchers and industrialists …

Integrating inventory with production–distribution operations has critical importance realized
by several companies' top management a long time before; however, challenging. The …

Multiobjective optimization problems have a significant role in modeling and optimizing the
framework of different real-life issues. It may not always be possible to obtain a single …

This paper presents a two stage cost minimizing fuzzy transportation problem with multi-
objective constraints. A new approach is used to conclude the optimal solution of a multi …

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

This study presents the modeling of the multiobjective optimization problem in an
intuitionistic fuzzy environment. The uncertain parameters are depicted as intuitionistic fuzzy …

The existence of neutral/indeterminacy degrees reflects the more practical aspects of
decision-making scenarios. Thus, this paper has studied the intuitionistic fuzzy …