Within the combinatorial scheduling community, there has been an increasing interest in
modelling and solving scheduling problems in dynamic environments. Such problems have …

An effective scheduling decision is one of the key factors towards improving the efficiency of
a system's performance, particularly in the instance of multiple products thus dispatching …

This paper proposes a heuristic method based on ant colony optimization to determine the
suboptimal allocation of dynamic multi-attribute dispatching rules to maximize job shop …

The cloud storage service, known for its flexible and expandable nature, often has difficulties
managing operating costs while ensuring dependable service and quick response times …

Using extension principle associated with a class of continuous Archimedean triangular
norms, this paper studies a fuzzy random renewal process in which the interarrival times are …

This article presents a dynamic programming-based particle swarm optimization (DP-based
PSO) algorithm for solving an inventory management problem for large-scale construction …

Regarding the fact that getting a suitable combination of the human resources and service
stations is one of the important issues in the most service and manufacturing environments …

Abstract This paper presents Non-Preemptive priority fuzzy queuing model with
asymmetrical service rates. Arrival rate and service rate are taken to be hexagonal …

Due to uncontrollable factors, the parameters in the queuing models may be uncertain and
so in this paper we present the design of a fuzzy finite capacity queuing model in which the …

The main purpose of this research article is to provide an appropriate interpretation of the
priority queuing model. It creates uncertain sequence models with priority discipline, non …