Joint managed inventory is an advanced supply chain inventory management tool, which will effectively tackle the complicated problem between the inventory cost of supply chain and service level. The research on inventory model and its’ control under JMI environment is a hot issue at present. In this paper, the authors deeply discuss the question of the inventory time costs about the multi-produ...

inventory control is one of the most important issues in supply chain management. in this paper, a three-echelon production, distribution, inventory system composed of one producer, a set of wholesalers and retailers is considered. costumers' demands can be approximated by a normal distribution and the inventory policy is a kind of continuous review (r, q). in this paper, a model based on ...

multi-echelon inventory systems are one of the most important and attractive areas in modelling supply chain management so that several researches and studies have been done about. in this paper, the total cost function of a two-echelon inventory system with central warehouse and many identical retailers controlled by continuous review inventory policy is estimated. we have assumed the demand i...

Large multi-echelon inventory systems usually consist of hundreds of thousands of stock keep units (SKU). Calculating inventory policies for each product is a computational burden that necessitates the need for more efficient policy setting techniques that reduce computational time and increases managerial convenience. The main objective of our research is to investigate the effect of segmentat...

Since Clark and Scarf’s pioneering work, most advances in multi-echelon inventory systems have been based on demand processes that are time-independent. This paper revisits the serial multi-echelon inventory system of Clark and Scarf, and develops three key results. First, we provide a simple lower bound approximation to the optimal echelon inventory levels and an upper bound to the total syste...

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.

We present a two-echelon dual-channel inventory model in which stocks are kept in both a manufacturer warehouse (upper echelon) and a retail store (lower echelon), and the product is available in two supply channels: a traditional retail store and an Internet-enabled direct channel. The system receives stochastic demand from two customer segments: those who prefer the traditional retail store a...

We address the optimal design of a multi-echelon supply chain and the associated inventory systems in the presence of uncertain customer demands. By using the guaranteed service approach to model the multi-echelon stochastic inventory system, we develop an optimization model for simultaneously optimizing the transportation, inventory and network structure of a multi-echelon supply chain. We for...

To cope with current turbulent market demands, more robust inventory policies are needed for distribution networks, to lower the inventory cost as well as maintain high responsiveness. This paper analyzes the inventory policies in the context of complex multiechelon distribution networks and proposes an optimization and simulation integrating approach to robust inventory policies selection for ...

This paper explores the application of constrained clustering algorithms to inventory grouping based problems. Our research in this area is based upon a segmentation methodology that considers operationally relevant part attributes. In this paper, we present a brief review of literature on multi-echelon inventory models, and clustering applications to inventory segmentation. Finally, we discuss...