Flexible Job-shop Scheduling Problem (fJSP) is a typical and important scheduling problem in Flexible Manufacturing System (FMS). The fJSP is an extended version of Job-shop Scheduling (JSP) that is NP hard problem. Due to it according with the real production system, we adopt a hybrid evolutionary computation algorithm to solve the fJSP problems. Among them, the Bayesian Optimization Algorithm...

Loading is one of the vital issues in flexible manufacturing system (FMS) production planning which deals with assignment of the necessary operations and tools among various machines in an optimal manner. Such a problem is combinatorial in nature and found to be NP-complete. In this paper, an attempt has been made to address such problems using mutation in particle swarm optimization (PSO) to a...

Flexible Manufacturing System provides many alternative machines and conveying paths to manufacture a given part. Thus control of such complex systems must be bent, via an effective Production Information System (PIS), to a powerful Decision Making System (DMS) which has to compute the best alternatives in real-time. This paper presents such a Production Information System (PIS) for Flexible Ma...

Paradigms in modern production are shifting and pose new demands for optimization techniques. The emergence of new, versatile, reconfigurable and networked machines enables flexible manufacturing scenarios which require, in particular, planning and scheduling methods for cyber-physical production systems to be flexible, reasonably fast, and anytime. This paper presents an approach to flexible j...

In general, distributed scheduling problem focuses on simultaneously solving two issues: (i) allocation of jobs to suitable factories and (ii) determination of the corresponding production scheduling in each factory. The objective of this approach is to maximize the system efficiency by finding an optimal planning for a better collaboration among various processes. This makes distributed schedu...

The step-by-step methodology of design of scheduling scenarios and strategies for different complex flexible systems will be described. This approach give the possibility to design the task oriented scheduling of system and reach two main aims: functionality and high efficiency of system. The concept is based on priority structures and queues of orders and activities. This concept is implemente...

The main objective of this paper is to study the Distributed Scheduling (DS) problems in Flexible Manufacturing System (FMS) environment using simulation model. This FMS is assumed to be single factory and multi factory which are analyzed by production capacity, throughput, utilization and work-in-process (WIP) by considering scheduling rules. The rules which are includes Largest processing tim...

In the highly competitive market, cooperative multi-agent transaction and negotiation mechanism have become an important research topic. This paper uses multi-agent technology to construct a multi-section flexible manufacturing system (FMS) model, and utilizes simulation to build a manufacturing environment based on JADE framework for multi-agent to combine with dispatching rules, such as short...

Abstract— In order to determine necessary time to reach a desired quota, the manager of a flexible batch manufacturing system must know the best method of scheduling the factory. To determine a sub-optimal schedule, we first create a model of the factory. This model is used to simulate the factory. Using this simulation and an integer programming formulation, we determine a scheduling algorithm...

This paper presents the results of a simulation study of a typical flexible manufacturing system (FMS) that has routing flexibility. The objective in this study is to test the effectiveness of the modified dissimilarity maximization method (modified DMM) for real time FMS scheduling. modified DMM method is an improvement of the DMM method. Modified DMM method is an alternative process plan sele...