Flexible Job-Shop Scheduling Problem (FJSP) with Parallel Batch processing Machine (PBM) is studied. First, a Mixed Integer Programming (MIP) formulation is proposed for the first time. In order to address an NP
In this work, we develop a novel mathematical formulation for the energy-efficient flexible job-shop scheduling problem using the improved unit-specific event-based time representation. The flexible job-shop is represented using the state-task network. It is shown that the proposed model is ...
Job-Shop Scheduling Problem with Mixed Integer Optimization. Formulation and implementation in Julia Gurobi. optimization-algorithmsmixed-integer-programmingjobshop-schedulinggurobi-optimization UpdatedMay 27, 2024 Jupyter Notebook Star2 Learning how to implement GA and NSGA-II for job shop scheduling probl...
In the present paper, an extension is attempted by considering a proportionate flexible two-stage no-wait job shop scheduling problem with minimum makespan, and a set-covering formulation is put forward which contains a master problem and a pricing problem. To solve this problem, a column ...
Huazhong University of Science and Technology, Wuhan 430074, China a r t i c l e i n f o a b s t r a c t Keywords: In this paper, we proposed an effective genetic algorithm for solving the flexible job-shop scheduling Genetic algorithm problem (FJSP) to minimize makespan time. ...
The blocking job shop with rail-bound transportation (BJS-RT) considered here is a version of the job shop scheduling problem characterized by the absence of buffers and the use of a rail-bound transportation system. The jobs are processed on machines and are transported from one machine to ...
Digital twin technology is adopted to solve the problem of job shop scheduling, which provides the possibility for the intelligent development of workshops. Based on digital twin technology and combined with the actual problem of production line scheduling, we propose a new intelligent scheduling ...
This paper addresses the multiple-route job shop scheduling problem to minimize makespan. The problem is recognized to be extremely difficult because of its combinatorial nature of integer optimization and the large size of the real problem. The goal is, thus, to obtain near-optimal schedules in ...
For flexible job shop scheduling problem, an operation of a job can be processed by different machines, but maybe not all the machines. For example, the second operation of job 1 can be processed by machine M3 and M5, and cannot be processed by M1, M2 and M4, for 1–2. Table 1. ...
The classical job-shop scheduling problem (JSP) consists of a set of independent jobs, each having its own processing order through a set of machines. Each job has an ordered set of operations, each of which must be processed on a predefined machine. The problem, known to be strongly NP-...