Article Abstract:
An automated flow shop model for computer integrated manufacturing has been developed based on the concept of near-optimal meta scheduling technique. The model provides several scheduling methods and evaluates them through simulation tests to determine those that permit cost-effective and optimal scheduling operations. It has been determined that one of the proposed methods can be adopted for systems in which calculation time is strictly constrained. Moreover, the model was used to prove the Just In Time production system theory through the use of backward scheduling and by showing that the model can actually reduce the quantity of inventories.
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Article Abstract:
The pull, or Toyota, production system requires subsequent work stations to withdraw needed materials in the needed quantities at the necessary time from a stock point in the immediately preceding station. In the case of the parts-oriented system, the necessary products are stored long before they are needed for production purposes. Under larger variations in parts demand, larger production stages and higher safety stock level, the parts-oriented system requires less inventory costs. However, as variation in parts demand and safety stock level decreases, the pull system generates more inventory cost savings.
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Article Abstract:
A novel sequencing method based on an objective function is proposed for mixed-model assembly scheduling environments with a single workstation. The proposed algorithm extends the time-based goal chasing method and utilizes some heuristic techniques to minimize the objective function. Numerical results show the effectiveness of allocating jobs backward and forward with the small order of the sum of the second power of the increase in area per unit time.
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