In this paper, a Mixed-Integer Linear Programming (MILP) model to simultaneously schedule
jobs and transporters in a flexible flow shop system is suggested. Wherein multiple jobs …

The traditional flexible job shop scheduling problem (FJSP) ignores transportation issues or
merely introduces a time lag for transportation tasks while assuming an infinite number of …

In this study, a novel and computationally efficacious Parallel Two-Step Decomposition-
Based Heuristic (PTSDBH) and a Mixed Integer Linear Programming (MILP) are developed …

Efficient management of waste generated in healthcare systems is crucial to minimize its
environmental impact and ensure public health. Sustainable medical waste management …

In this paper, the energy-efficient flow shop scheduling problem with blocking and collision-
free transportation constraints (EFSP-BCFT) with sequence dependent setup times (SDST) …

Abstract Today's industry 5.0 emphasizes the synergy between humans and equipment to
raise productivity. This paper investigates a multi-resource constrained job shop scheduling …

A computationally potent two-stage parallel heuristic (TSPH) and a mixed integer linear
programming (MILP) are suggested to address the simultaneous scheduling of jobs and …

The production stage of an automated job shop is closely linked to the automated guided
vehicle (AGV), which needs to be planned in an integrated manner to achieve overall …

Automated guided vehicles (AGVs) are powered by batteries that degrade over time. AGV
batteries are procured in batches in automated container terminals, resulting in variations in …

This paper introduces a modeling methodology for Assembly/Disassembly (AD) systems,
proposing an effective simulation-based optimization approach. The objective is to …