In the context of increasing complexity in manufacturing and logistic systems, the
combination of optimization and simulation can be considered a versatile tool for supporting …

In the field of logistics and transportation (L&T), this paper reviews the utilization of
simheuristic algorithms to address NP-hard optimization problems under stochastic …

This paper addresses a bi-objective problem in flexible job shop scheduling (FJSS) with
stochastic processing times. Following the Just-In-Time philosophy, the first objective is to …

The flexible job shop scheduling problem (FJSSP) is a complex optimization challenge that
plays a crucial role in enhancing productivity and efficiency in modern manufacturing …

The uncapacitated facility location problem (UFLP) is a well-known combinatorial
optimization problem that finds practical applications in several fields, such as logistics and …

This work presents two solution methods for the m-machine robust permutation flow shop
problem with processing time uncertainty. The goal is to minimize the makespan of the worst …

This work aims to investigate an energy-efficient no-wait flexible flow shop problem
considering deteriorating and learning effects under uncertainty. To do this, a data-driven …

A combinatorial model is proposed for determining the probability and information losses in
an organizational and technical system (OTS) under destructive external influences …

This paper deals with minimization of maximum expected cost for scheduling problem with
stochastic processing time. The longest delay time and Earliest finished time are the goal of …