KEYWORDS: Stochastic processes, Manufacturing, Control systems, Systems modeling, Computer programming, Process control, Distributed interactive simulations, Optimization (mathematics), Analytical research, Lead
Remanufacturing operations involved with highly uncertain recovery rate of used products, subassemblies and parts that complicate the planning and control of the process. In this paper, we develop a comprehensive procedure that determines the optimal input quantities at each stage of the remanufacturing operations in which recovery rates at each stage of the process are stochastic. We model the remanufacturing system as an open queueing network and use the decomposition principle and expansion methodology to analyze it. Each station in the system is subject to breakdown and has a finite buffer capacity. Repair times, breakdown times and service times follow exponential distributions. Optimization is done on the system’s expected total cost using a dynamic programming (DP) algorithm. A numerical example is presented to show the applicability of the model.
KEYWORDS: Manufacturing, Systems modeling, Network security, Lead, Control systems, Environmental sensing, Inspection, Control systems design, Electronics, Statistical analysis
In this paper, we examine the tradeoffs between increasing the number of buffers and increasing the capacity at the remanufacturing stations under numerous circumstances on such performance measures as expected total cost, average WIP inventory, throughput and average processing (remanufacturing) time when the remanufacturing stations are operating in uncertain environments. We model the remanufacturing system using an open queueing network with finite buffers and unreliable servers. In order to analyze the queueing network, we use the decomposition principle and expansion methodology. Each server in the system is subject to breakdown and has a finite buffer capacity.
In this paper, we investigate the variation in the reusable rate of cores (used products) on the performance of the remanufacturing system. The remanufacturing system considered here consists of three modules; viz., the disassembly and testing module for returned products, the disposition module for non-reusable returns, and the remanufacturing module. Each server in the system is subject to breakdown and has a fmite buffer capacity. Repair times, breakdown times and service times follow exponential distributions. We model the remanufacturing system as an open queueing network and use the decomposition principle and expansion methodology to analyze it
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