Optimization of Dynamic and Multi-Objective Flexible Job-Shop Scheduling Based on Parallel Hybrid Algorithm

Abstract

This paper aims to develop a dynamic, real-time scheduling strategy under interference that can minimize the negative impact of interference on production scheduling without sacrificing the production efficiency. Taking the minimal cost and makespan as the objectives of the optimization function, the author put forward a parallel hybrid optimization algorithm for production rescheduling under interference, aiming to strike a balance between processing cost and scheduling disturbance. The benchmark test results show that the proposed algorithm achieved better accuracy than the NSGA-II and the AMOSA, and its accuracy has nothing to do with the distribution shape of the objective function or the continuity of the interference. In other words, the proposed algorithm enjoys strong computing stability. In the simulation tests, the proposed algorithm reached the global convergence state before reaching the maximum runtime, and consumed less time than the contrastive algorithms under the same problem scale. The research findings shed new light on the optimal scheduling of multi-objective FJSP under disturbance.

Application of TestBed 4.0 Technology within the Implementation of Industry 4.0 in Teaching Methods of Industrial Engineering as Well as Industrial Practice

“…For real-time data collection, it is possible to use the RTLS (Real-Time Location System) technological tool, which is part of the Smart Factory concept (Figure 3 By combining RTLS and simulation technologies from Siemens, it is possible to quickly and efficiently model interactions within material and logistics flows, the movement of employees located on the production line. The potential can be seen in the redesign of production lines, in solving persistent safety problems, in reconfiguring workers to increase productivity [13]. By combining software from Siemens Digital Industries Software with the technology provided by Sewio, it is possible to map logistics and material flows in production very efficiently with the technology provided by Sewio, it is possible to map logistics and material flows in production very efficiently.…”

“…Real-time data processing solutions between RTLS and TX Plant Simulation, resp. TX Process Simulate that is possible in the TestBed environment is focused on [13]:…”

“…By combining RTLS and simulation technologies from Siemens, it is possible to quickly and efficiently model interactions within material and logistics flows, the movement of employees located on the production line. The potential can be seen in the redesign of production lines, in solving persistent safety problems, in reconfiguring workers to increase productivity [13].…”

A Multi-Objective Optimization Model Based on Non-Dominated Sorting Genetic Algorithm

“…Along with the stricter task requirements, the flexible jobshop scheduling problem (FJSP) has emerged to strike a balance between production cost and profit. In the FJSP, each operation of a job can be implemented on multiple machines, leading to a larger solution space and greater randomness [2]. To solve the problem, the scheduler must determine the operation sequence of each job and the machine sequence of each job.…”

Wind Turbine Lubrication Based on Parallel Control of Multiple Factors

“…Through the above analysis, this paper proposes a dynamic lubrication control strategy for wind turbines based on the parallel control of multiple influencing factors [8][9][10]. The lubrication needs under specific operating conditions were determined, in the light of multiple factors, namely, turbine output and relevant environmental impacts.…”