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

In this paper, we adopt an interactive approach for bi-level multi-objective supply chain
model (BL-MOSCM). The essential target is to decide the ideal request designation of items …

This work demonstrates the modeling of the multilevel-multiobjective linear fractional
optimization (ML-MOLFO) problem in a neutrosophic decision environment. The primary …

This paper discusses a new algorithm for generating the Pareto frontier for bi-level multi-
objective rough nonlinear programming problem (BL-MRNPP). In this algorithm, the …

This paper focuses on the influence of support degree and weight between different
attributes on the decision-making process. First, we analyze the Fermatean fuzzy power …

We propose a stochastic entropic analysis based on ideal solutions and apply it to evaluate
the performance of Japanese banks. Not only is the odds ratio of the learning feedback …

The high global demand for oil and its derivatives has increased the risk of oil spills
associated with the extraction, processing, and transportation of this product. Oil spill …

Abstract Supply Chain Management (SCM) is becoming more complex day by day.
Functional silos on demand and supply fronts of products are required to be addressed to …

This paper aims to present a generalized ontology model for the Vehicle Routing Problem
(VRP) and it gives some out-plant material handling case studies. The Vehicle Routing …

In many complex systems, fuzziness and randomness simultaneously appear in a system.
Then the fuzzy random variable such that it can be an effective tool to determine some high …