This work is a contribution to fault propagation analysis in a supply chain network. An event-based fault detection method is applied to fault propagation analysis validation. The goal of this methodology is to discover and validate fault propagation effects on system variables. This knowledge could be used to improve corrective action design in order to compensate negative effects. The methodo...

We present a periodic review inventory model with multiple delivery modes and demand forecast updates. We generalize the notion of the base-stock policy for inventory system with multiple delivery modes. While base-stock policies are optimal for one or two consecutive delivery modes, it is not so otherwise. For multiple consecutive delivery modes, we show that only the fastest two modes have op...

Multi-echelon transaction is a common situation in the supply chain nowadays. This research is to formulate a three-echelon integrated inventory model under defective products, reworking and credit period consideration. An algorithm and numerical analysis are used to observe the effect of defective rate and credit period time to the inventory policy and total profit.

In this paper, an inventory replenishment model for deteriorating items is developed. Demand for the item varies with time over a finite planning horizon, during which shortages are allowed and are completely back-ordered. The objective is to determine a replenishment policy that minimizes the total inventory cost. A search procedure based on Genetic Algorithm (GA) is presented and illustrated ...

Discrete-event simulation techniques have been widely used for network analysis and policy optimization. In this paper, the use of high fidelity simulation models for real-time control of supply chain interactions is presented. Most formulations for supply chain problems involve optimization of an objective function consisting of various cost components (material, production, inventory, duties,...

The replacement of an existing product with a new one presents many challenges. In particular, uncertainties in a new product introduction often lead to extreme cases of demand and supply mismatches. This paper addresses inventory planning decisions for product upgrades when there is no replenishment opportunity during the transition period. We allow product substitution: when a company runs ou...

We consider the problem of determining the optimal ordering and reordering policy for an inventory where the entire stockwill simultaneously become obsolete at some (typically random) time, T . Manymanufacturing, publishing, distribution, and high tech businesses face the challenge of maintaining inventories that do not age in the conventional sense; instead, they suddenly become obsolete and l...

We use time-consistent coherent and Markov risk measure to study a risk-averse firm’s inventory and price control activities. Our dynamic programming model leads to optimal policy structures that are reminiscent of their risk-neutral counterparts. However, with risk aversion there emerge new patterns. First, monotone properties are derivable for the pricing policy when the convex risk set assoc...

Operational-level scheduling decisions on the factory floor include the release policy and the dispatching rule. Recent work by researchers suggests that factory performance depends heavily on the release policy. Several heuristic factory release rules have been developed that generate release decisions based on the status of the bottleneck machine. The heuristic rules perform very well in redu...