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Operations management Case study: Layout furniture CS presentation Done by: Basil al-efranji Raed salem Ahmad mohsen Gohar bajwa
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OUTLINE Introduction Modeling approaches Layout design Using craft
Graph theory layout furniture Use genetic algorithm Comparison of experimentation method Ranking of various alternatives Conclusion
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1. Introduction Experimenting application of different heuristic approaches. Models are compared using AHP (The Analytic Hierarchy Process). The experiment shows that formal layout modeling approaches can be effectively used for real problems faced in industry, leading to significant improvements. A project to optimize the layout design of the production line at the shop floor of The Company (TC) aiming at overcoming the current problems attributed to the inefficient layout. Graph Theory, Bloc Plan, CRAFT, Optimum Sequence and Genetic Algorithm are the Modeling techniques used.
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Introduction (Cont.) Three criteria's Total Area, Flow * Dist. and the Adjacency Percentage. Total Area is area occupied by the production line for each model developed. Flow * Dist calculates the sum of products of the flow and the distance between every two facilities. Adjacency Percentage calculates the percentage of the facilities that meet the requirement of being adjacent. Selection of the best layout was also done formally using multi-criteria decision making approach AHP, using Expert Choice software.
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2. Modeling Approaches Graph Theory: applies an edge–weight maximal planar graph in which the vertices (V) represents the facilities and the edges (E) represent adjacencies and Kn denotes the complete graph of n Vertices. Using CRAFT: CRAFT (Computerized Relative Allocation of Facilities Technique) uses a pair wise exchange to develop a layout. The input data includes dimensions of the building and facilities, flow of material or frequency of trips between facility pairs and cost per unit load per unit distance. Using BLOCPLAN: is an interactive program used to develop and improve both single and multi-story layout. Uses both quantitative/qualitative data to generate several block layouts and their measure of fitness.
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Modeling Approaches (Cont.)
Optimum Sequence: The method of solution starts with an arbitrary sequential layout and tries to improve it by switching two departments in the sequence. At each step, the method computes the flow*distance changes for all possible switches of two departments and chooses the most effective pair. Genetic Algorithm: Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
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Layout design of furniture? Testing the performance of the methods.
EXPERIMENTATION VIA A CASE STUDY Layout design of furniture? Testing the performance of the methods. 9 different styles of chairs, two seats, and three seats Batch amounts. Operations. Main input & quantity of materials.
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Assembly chart for the case study
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Graph theory
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CRAFT
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Optimum Sequence Algorithm
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Using BLOCPLAN
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Using Genetic Algorithm
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COMPARISONS OF EXPERIMENTATION RESULTS
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Ranking of various alternatives
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CONCLUSIONS
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Thank you q&a?
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