Inventory control is one of the most important things for company, because without proper and optimal inventory company will experience a problem in meeting production needs consumer demand both form goods services produced by company. wood manufacturing located Gresik Regency. In process making products, problems often occur, namely number requests complementary tools that are quite large unco...

in this paper, a supplier-retailer transportation system is investigated as a two-echelon environment. there is a single location in each echelon; the unique supplier at the first echelon has to replenish the retailer's warehouse at the second echelon. by the way, the shortage situation should be avoided. for this situation, a model is provided based on the traditional eoq model. the inven...

The classical economic order quantity model is extended to the case where items may be acquired from various suppliers. It assumed that any lot size received a supplier contains perfect and imperfect quality items. percentage of in random variable having known probability distribution. are detected through 100% screening process conducted at start inventory cycle. When concluded, sold one batch...

This paper develops an artificial neural network (ANN) model to forecast the optimum level of raw materials inventory as a function of product demand, manufacturing lead-time, supplier reliability, material holding cost, and material cost. The model selects a feed-forward back-propagation ANN with twelve hidden neurons as the optimum network. We test the model with pharmaceutical company data. ...