ON JUST IN TIME CONTROL OF FLEXIBLE MANUFACTURING SYSTEMS VIA DIOID ALGEBRA

Autonomous guided vehicles (AGVs) are driverless material handling systems used for transportation of pallets and line side supply of materials to provide flexibility and agility in shop-floor logistics. Scheduling of shop-floor logistics in such systems is a challenging task due to their complex nature associated with the multiple part types and alternate material transfer routings. This paper presents a decision support system capable of supporting shop-floor decision-making activities during the event of manufacturing disruptions by automatically adjusting both AGV and machine schedules in Flexible Manufacturing Systems (FMSs). The proposed system uses discrete event simulation (DES) models enhanced by the Internet-of-Things (IoT) enabled digital integration and employs a nonlinear mixed integer programming Genetic Algorithm (GA) to find near-optimal production schedules prioritising the just-in-time (JIT) material delivery performance and energy efficiency of the material transportation. The performance of the proposed system is tested on the Integrated Manufacturing and Logistics (IML) demonstrator at WMG, University of Warwick. The results showed that the developed system can find the near-optimal solutions for production schedules subjected to production anomalies in a negligible time, thereby supporting shop-floor decision-making activities effectively and rapidly.

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Development of a Simulation-Based Intelligent Decision Support System for the Adaptive Real-Time Control of Flexible Manufacturing Systems

Journal of Software Engineering and Applications ◽

10.4236/jsea.2010.37076 ◽

2010 ◽

Vol 03 (07) ◽

pp. 661-673 ◽

Cited By ~ 5

Author(s):

Babak Shirazi ◽

Iraj Mahdavi ◽

Maghsud Solimanpur

Keyword(s):

Decision Support ◽

Flexible Manufacturing ◽

Flexible Manufacturing Systems ◽

Manufacturing Systems ◽

Real Time Control ◽

Intelligent Decision Support System ◽

Time Control ◽

Intelligent Decision ◽

Simulation Based ◽

Intelligent Decision Support

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Methods of Planning, Running and Optimization of Material Flow in the Laboratory of Flexible Manufacturing Systems with Robotized Manipulation Supported by No Drawing Production

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.220-223.925 ◽

2012 ◽

Vol 220-223 ◽

pp. 925-928

Author(s):

Silvia Sebenova ◽

Katarina Krajcova ◽

Frantisek Pechacek

Keyword(s):

Flexible Manufacturing ◽

Material Flow ◽

Flexible Manufacturing Systems ◽

Manufacturing Systems ◽

Production Costs ◽

Just In Time ◽

Selection Of

This paper is focused on the methods, which are used for planning, running and optimization of material flow. These methods are very important element of each production and company. There are several methods which are used, for example JIT (Just in Time), Kanban, TOC (Theorie of Constraints), etc. A selection of appropriate method affects largely production costs, efficiency and produced quantity. For the laboratory of flexible manufacturing systems with robotized manipulation supported by no drawing production were compared several methods and on the based their advantages, disadvantages and suitability of use was selected the most appropriate method of planning, running and optimization of material flow.

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