dynamic cellular manufacturing systems,   mixed-integer non-linear programming,   production planning, manufacturing attributes   this paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (dcms) based on production planning (pp) decisions and several manufacturing attributes. such an integrated dcms model with an extensive c...

Most of the inventory control models assume that quality defect never happens, which means production process is perfect. However, in real manufacturing processes, the production process starts its operation in the in-control state; but after a period of time, shifts to the out-of-control state because of occurrence of some disturbances. In this paper, in order to approach the model to real man...

In this paper, the problem of batch scheduling in a flexible flow shop environment is studied. It is assumed that machines in some stages are able to process a number of jobs simultaneously. The applications of this problem can be found in various industries including spring and wire manufacturing and in auto industry. A mixed integer programming formulation of the problem is presented and it i...

In this paper, the problem of batch scheduling in a flexible flow shop environment is studied. It is assumed that machines in some stages are able to process a number of jobs simultaneously. The applications of this problem can be found in various industries including spring and wire manufacturing and in auto industry. A mixed integer programming formulation of the problem is presented and it i...

Globalization has led to a significant effect on today’s manufacturing sector. Manufacturers need find new and innovative ways increase efficiency reduce waste in the supply chain. Lean/six sigma tools can help companies production stay competition. Manufacturing smaller batches keep chain lean customizable. This leads frequent changeovers downtime. A changeover is usually required when single ...

The manufacturing enterprises are now experiencing high pressure of competition. In addition, the advancement in computer software, hardware, networks, information technologies and integration has been gradually reshaping the manufacturing companies by shifting from the industrial age to the information and knowledge era. Due to these elevated competitiveness and advanced computer technology, a...

In semiconductor manufacturing, the process of short-term production planning requires setting clear and yet challenging and doable goals to each operation and toolset in the process flow per each product type. We demonstrate the complexity of this problem using an experimental study performed with proficient workforce, and then show how the problem can be decomposed, aggregated, and solved usi...

In this paper we will model a Manufacturing System by means of a Multi-Agent Systems, where each agent may represent a processing entity. This work has as objective to deal with the complex problem of Dynamic Scheduling in Manufacturing Systems. We want to prove that a good global solution for a scheduling problem may emerge from a community of machine agents solving locally their schedules and...

In a exible manufacturing environment a group of autonomous agents such as autonomous mobile robots and intelligent manufacturing units is supposed to cooperate and avoid bad interaction. Thus they must have the capability to build a common multi-agent plan through detailed adequate agreements and take into consideration the group goals as well as those of the individual agents. We present an a...

This paper presents a framework for the design of the planning and controlling components in a exible manufacturing system. A hierarchical planning structure is presented which consists of six layers: the layer of the production planning and control system, the layer of the shop oor control system, the task coordination layer, the task planning layer, the task execution layer and the machine co...