To design a group layout of a cellular manufacturing system (CMS) in a dynamic environment, a multi-objective mixed-integer non-linear programming model is developed. The model integrates cell formation, group layout and production planning (PP) as three interrelated decisions involved in the design of a CMS. This paper provides an extensive coverage of important manufacturing features u...

This study is concerned with the optimal common cycle time for a multi-item production system with discontinuous delivery and failure in rework. In real life manufacturing environments, managements often plan to produce multiple products in turn on a single machine in order to maximize machine utilization. Also, dealing with random defective items during production seems to be an inevitable tas...

Machine is the key element in manufacturing system. failure will lead to order delivery delay and production cost rise. Aiming at random disturbance of equipment failure, a dynamic non-linear programming model virtual cell (VMC) established, which aims minimize cost, logistics transportation differences workload among cells, based on comprehensive consideration reliability, process route constr...

This paper presents a new mathematical model for integrated dynamic cellular manufacturing systems and production planning that minimizes machine purchasing, intra-cell material handling, cell reconfiguration and setup costs. The presented model forms the manufacturing cells and determines the quantity of machine and movements  during each period of time. This problem is NP-hard, so a meta-heur...

To cope with fast changing customer requirements, industrial demands and to meet stringent specifications of customers Cellular Manufacturing Systems has become an effective tool in hands of manufacturers. Most of the published literature on cell formation earlier considers only the data available in the route sheets and ignored subproblems associated with cell formation. There is a need to dev...

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...

Cell formation problem (CFP) is one of the main problems in cellular manufacturing systems. Minimizing exceptional elements and voids is one of the common objectives in the CFP. The purpose of the present study is to propose a new model for cellular manufacturing systems to group parts and machines in dedicated cells using a part-machine incidence matrix to minimize the voids. After identifying...

In this paper, the focus is on the dynamic control card in a conwip system. An approach to set the number of cards in order to adapt to the change of the production systems both in terms of external change as the demand and internal change as the work time of the machine, failures and so on. A Multi Agent Architecture is proposed to implement a flexible and extensible approach that can be imple...

Because of the nature of conventional 0-1 part-family incidence matrix, a multi-cell flexible manufacturing systems (MCFMS) using conventional part-family formation algorithms, such as array-based clustering, similarity coefficient-based clustering, and mathematical programming, in a cellular manufacturing mode can assign a part family only to one machine cell. The consequence is that each part...

Present study compares performance of proposed model [Hybrid Extended Kanban Control System (HEKCS)], with Extended Kanban Control System (EKCS) and Constant Work In Process (CONWIP) in a single line and multi stage manufacturing system with or without effect of machine breakdown. It was observed that, when demand rate increases, throughput, average WIP and utilization% also gradually increases...