Production yield can be highly volatile and uncertain, especially in industries where exogenous environmental factors such as the climate or raw material quality impact manufacturing process. Thus, for production planning, it is necessary to take into account uncertainty obtain robust efficient plans. In this paper, we consider lot-sizing problems under uncertainty. We propose a multi-period, s...

SME LCR is one of the handicrafts in Yogyakarta, Indonesia. This produces several handicraft products such as storage baskets with various variants, and furniture. The process ordering raw materials for SMEs carried out when there a demand incoming order quantity based on material needs meeting product demand. study intends to provide recommendations improving governance overcome fluctuations d...

In this article, a mixed integer linear program (MILP) model is proposed for the production, lot sizing, and scheduling of automotive plastic components to minimize setup, inventory, stockout, backorder costs, by taking into account injection molds as main index schedule on parallel flexible machines. The MILP considers minimum maximum inventory capacities penalizes stockout. A relevant charact...

Classical deterministic inventory models consider the demand rate to be either constant or time-dependent but independent from the stock status. However, for a certain type of inventory, the demand rate may be in-fluenced by the stock level. Also in many real-life problems, some products such as fruits, vegetables, phar-maceuticals and volatile liquids continuously deteriorate to evaporation, o...

Abstract Due to the main peculiarities of spare parts, i.e. intermittent demands, long procurement lead times and high downtime costs when parts are not available on time, it is often difficult find optimal inventory level. Recently, Additive Manufacturing (AM) has emerged as a promising technique improve management thanks ‘print demand’ approach. So far, however, impact AM been little consider...

the real world is full of uncertainties and parameters such as demand cannot be determined exactly. in this case, using crisp (exact) values and statistical methods due to absence of sufficient information, seems unwise. so in this paper, an approach is presented for using fuzzy numbers in continues review policy related decision-making. in this supply chain, there are two enterprises, a and b ...