The under-performance of supply chains presents a significant hindrance to disease control in developing countries. Stock-outs of essential medicines lead to treatment interruption which can force changes in patient drug regimens, drive drug resistance and increase mortality. This study is one of few to quantitatively evaluate the effectiveness of supply chain policies in reducing shortages and...

The development of control-oriented decision policies for inventory management in supply chains has received considerable interest in recent years, and demand modeling to supply forecasts for these policies is an important component of an effective solution to this problem. Drawing from the problem of control-relevant identification, we present an approach for demand modeling based on data that...

An efficient and accurate demand forecast becomes imperative for enhancement of commericial competitive advantage at al the stages of supply chain , escpically in the absence of collaborative supply chain management.Procurement decisions in the upstream supply chain to buy right quantity at right time for effective inventory management decisions depend on the accurate prediction of demand The o...

The demand forecasting technique which is modeled by artificial intelligence approaches using artificial neural networks. The consumer product causers the difficulty in forecasting the future demand and the accuracy of the forecast In performance of the artificial neural network an advantage in a constantly changing business environment and demand forecasting an organization in order to make ri...

The development of control-oriented decision policies for inventory management in supply chains has received considerable interest in recent years, and demand modeling to supply forecasts for these policies is an important component of an effective solution to this problem. Drawing from the problem of controlrelevant identification, we present an approach for demand modeling based on data that ...

Supply Chain Management (SCM) has become a popular topic in recent years. One of the main discussion points is the effective management of inventories along the supply chain. Several inventory policies have been analyzed and compared to overcome the traditional tradeoff between high service levels and high inventory costs and vice versa. This paper describes how different demand data aggregatio...

E D P R Demand forecasts play a crucial role for supply chain management. The future demand for a certain product is the basis for the respective replenishment systems. Several forecasting techniques have been developed, each one with its particular advantages and disadvantages compared to other approaches. This motivates the development of hybrid systems combining different techniques and thei...

The paper presents a system dynamics approach to analysis of generic manufacturing supply chain model and considers the problem of determination of adaptive effective strategy on production, supply rates and price according to inventory levels and the market situation through a demand curve estimation. The special focus lies on the investigation of the product price influences on demand and its...

Key challenge for mastering high uncertainty of both demand and supply is to attune products and business processes in the entire supply chain continuously to customer requirements. Product configurators have proven to be powerful tools for managing demand uncertainty. This paper assesses how configurators can be used for combined product and process configuration in order to support mastering ...