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A bi-criteria AGV-based flexible jobshop manufacturing network having uncertain parametersd

Fazlollahtabar, H ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. Publisher: 2010
  3. Abstract:
  4. We propose an approach for finding an optimal path in a flexible jobshop manufacturing system considering two criteria of time and cost. With rise in demands, advancement in technology, and increase in production capacity, the need for more shops persists. Therefore, a flexible jobshop system has more than one shop with the same duty. The difference among shops with the same duty is in their machines with various specifications. A network is configured in which the nodes are considered to be the shops with arcs representing the paths among the shops. An Automated Guided Vehicle (AGV) functions as a material handling device through the manufacturing network. To account for uncertainty, we consider time to be a triangular fuzzy number and apply an expert system to infer cost. The objective is to find a path minimizing both the time and cost criteria, aggregately. Since time and cost have different scales, a normalization procedure is proposed to remove the scales. The model being bi-objective, the AHP weighing method is applied to construct a single objective. Finally, a dynamic programming approach is presented for computing a shortest path in the network. The effectiveness of the proposed approach is illustrated by a numerical example
  5. Keywords:
  6. Automated Guided Vehicle (AGV) ; Flexible jobshop ; Fuzzy systems ; Bi-criteria ; Cost criteria ; Different scale ; Job-shop ; Manufacturing networks ; Manufacturing system ; Material handling ; Numerical example ; Optimal paths ; Production capacity ; Shortest path ; Single objective ; Triangular fuzzy numbers ; Weighing method ; Automation ; Costs ; Dynamic programming ; Expert systems ; Fuzzy sets ; Optimization ; Flexible manufacturing systems
  7. Source: 2010 2nd International Conference on Engineering System Management and Applications, ICESMA 2010, 30 March 2010 through 1 April 2010 ; March-April , 2010 ; 9781424465200 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5542680