SUNConferences, 29th Annual Conference of SAIIE

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TAYLOR SERIES METHOD FOR THE ANALYSIS OF NON-LINEAR AND DYNAMIC ENERGY CONSUMPTION MODEL UNDER A FLEXIBLE INVENTORY MODEL
Blaise Bolan Ebouele Benga, Thomas Tengen, Alfayo Alugongo

Last modified: 2018-10-09

Abstract


Existing literature shows that operational inefficiency is one important cause of energy consumption problem encountered within most manufacturing plants. Energy consumption can be perceived as an important key performance indicator because it is mostly influenced by the production rate, which in turn is linked to the lot-size and lead-time. Machines and processes within a plant produce goods at variable rates. When speeds vary, slow rates typically result in dropped profits while faster speeds affect quality control. Producing more, earlier, or faster than required by the next process is waste. It causes inventory to accommodate the excess and frequent reprocessing. This is why it is important for operating speeds to remain consistent with the inventory model’s parameters, and it can be done by carefully handling the random behavior of lot-size and lead-time. In this research paper, Taylor Series Method is used to analyze, approximate the dynamic property of energy consumption around the average lead-time or lot-size, which are two important components of a hybrid inventory ordering policy. The results revealed that it is possible to achieve good approximation of energy consumption in the neighborhood of important average point (decision parameter of the inventory model).


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