The return flow of remanufacturing processes is highly variable in terms of the quality of returned products. This fact causes higher variability in remanufacturing processing times. In order to decrease the variability in the process the returns can be inspected and classified according to their quality following their arrival. However this classification will add an extra cost to the remanufacturing process. In this study we investigate the pros and cons of such a classification.
KEYWORDS: Manufacturing, Failure analysis, Systems modeling, Computing systems, Raw materials, Analytical research, Stochastic processes, Systems engineering, Inspection, Lead
In hybrid production systems when both remanufacturing and new product manufacturing activities are performed at the same facility used parts can be remanufactured at the same shop floor as the new products. Here the quality difference between used and new parts being processed impacts both the output quality and the efficiency of shared machines by causing quicker than normal wear of tools. In this study, in order to capture this impact we first look at a one machine system that manufactures both classes of products with distinct process related failure rates, then a two machine one buffer tandem system with infinite buffer capacity and suggest a method to approximately compute the throughput rate of this system.
KEYWORDS: Manufacturing, Systems modeling, Control systems, Process modeling, Numerical analysis, Stochastic processes, Switching, Computer programming, Manufacturing equipment, Nose
In this study, we aim to analyze the effect of substitution policies on the on-hand inventory of finished goods for hybrid manufacturing/remanufacturing systems, where both new and remanufactured versions of a product coexist. We consider the case where the remanufactured products are offered to the market for a fraction of the new product price. Here we propose a model that quantitatively measures the pros and cons of supplying a particular demand for a version of the product with a different version in terms of immediate and average long-run costs and benefits. Then using this model we compare the effectiveness of one way and mutual substitution policies both at boundary and non-boundary inventory states.
KEYWORDS: Control systems, Manufacturing, Adaptive control, Systems modeling, Nanoimprint lithography, 3D modeling, Stochastic processes, Lead, Raw materials, Autoregressive models
In this paper, we consider a hybrid manufacturing system with two discrete production lines. Here the output of either production line can satisfy the demand for the same type of product without any penalties. The interarrival times for demand occurrences and service completions are exponentially distributed i.i.d. variables. In order to control this type of manufacturing system we suggest a single stage pull type control mechanism with adaptive kanbans and state independent routing of the production information.
As a consequence of environmental necessities, reuse of products has recently become an important issue for production and planning. Many companies are involved in retrieving used products, where they repair, refurbish and upgrade the products in order to sell them for profit. However, the regulations for many markets do not allow manufacturers to sell remanufactured products under the same pretence as new products. Therefore, companies are forced to differentiate both the recovery and the sales activities for the remanufactured products from that of the new products. In this paper, we study the impact of this differentiation. We particularly look at the feasibility of substituting one version of the product with the other in order to satisfy the demand. In the first phase of the study, we try to find optimal switching functions for substitution decisions using a Markov decision process. In the second phase, we define several control policies and compare them with respect to the expected total cost function of the system.
Conference Committee Involvement (3)
Environmentally Conscious Manufacturing VI
1 October 2006 | Boston, Massachusetts, United States
Environmentally Conscious Manufacturing V
23 October 2005 | Boston, MA, United States
Environmentally Conscious Manufacturing IV
26 October 2004 | Philadelphia, Pennsylvania, United States
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