Research Publications (Engineering and Built Environment)
Permanent URI for this collectionhttp://ir-dev.dut.ac.za/handle/10321/215
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Item Implementation of fuzzy logic in scheduling a flexible manufacturing system(Southern African Institute for Industrial Engineering, 2023-10-31) Dewa, MendonA flexible manufacturing system (FMS) has the advantage that it can easily adapt to equipment malfunctions and changes in the quantity or type of the product being processed. Proper scheduling is critical for production planning in order to meet customer demand. The case study organisation has been facing challenges in meeting due dates while concurrently minimising lead time and maximising machine utilisation. This paper presents the deployment of fuzzy logic in scheduling a flexible manufacturing system. The proposed approach identifies scheduling parameters for routing parts through system and membership functions and fuzzy rules are constructed to develop the best schedule using a toolbox on a MATLAB fuzzy logic platform. After comparison of several priority rules for job sequencing, the results demonstrated the applicability of fuzzy logic as a decision tool in the scheduling of flexible manufacturing systems.Item Optimisation of a flexible manufacturing system through the application of greedy knapsack heuristic(Southern African Institute for Industrial Engineering, 2022-10-03) Dewa, MendonThe global manufacturing industry is currently facing intense competitive pressure that requires better efficiency, effectiveness and continuous improvement of the manufacturing systems. Production planning in flexible manufacturing systems is crucial for the efficient organisation of production resources to ensure economic effectiveness and meet schedule requirements without violating capacity constraints. The objective of this paper is to develop a cost-effective assignment of parts to a flexible manufacturing system (FMS) through the application of Greedy Knapsack heuristic. A production-planning problem was formulated, the objective function and associated constraints were stated and an Excel based tool was developed to generate solutions Greedy Knapsack heuristic. The tool would assign the best selected parts to the semi-automated FMS in an optimal manner to the production plan. The sample computational results were presented for Greedy Knapsack heuristic, and conclusions were drawn for the flexible manufacturing system.