In this study we use a flexible policy of spare part management in the context of airports corrective maintenance activities and provide a new approach for mathematically evaluate the performances of systems with lateral transshipments in case of one-for-one ordering policies, transfer times and peaked demand. This study deals with the spare optimization of a large logistics company, in charge ...

We address multi-item inventory systems with random and seasonally fluctuating, and possibly correlated, demands. The items are produced in two stages, each with its own lead-time; in the first stage a common intermediate product is manufactured. The production volumes in the first stage are bounded by given capacity limits. We develop an accurate lower bound and close-to-optimal heuristic stra...

The popular models for repairable item inventory, both in the literature as well as practical applications, assume that the demands for items are independent of the number of working systems. However this assumption can introduce a serious underestimation of availability when the number of working systems is small, the failure rate is high or the repair time is long. In this paper, we study a m...

We consider combined inventory control and throughput time reduction in multi-echelon, multiindenture spare part networks for system upkeep of capital goods. We construct a model in which standard throughput times (TPT) for repair and transportation can be reduced at additional costs. We first estimate the marginal impact of TPT reduction on the system availability. Next, we develop an optimiza...

Coordination of Supply Chain Inventory Systems with Private Information. (December 2006) Chi-Leung Chu, B.B.A., The Chinese University of Hong Kong; M.B.A., University of New Mexico; M.S., Case Western Reserve University Chair of Advisory Committee: Dr. V. Jorge Leon This dissertation considers the problems of coordinating different supply chain inventory systems with private information under ...

Firms with omni-channel multi-echelon distribution networks (OMDC) integrate all of their sale channels and echelons to achieve an effective matching multi-type orders a shared inventory. However, the high operational cost caused by insufficient use inventory resources unreasonable order allocation restricts sustainable development firms. To this end, joint decisions optimization (IO) (OA) are ...

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 stand...

Reinforcement learning (RL) appeals to many researchers in recent years because of its generality. It is an approach to machine intelligence that learns to achieve the given goal by trial-and-error iterations with its environment. This paper proposes a case-based reinforcement learning algorithm (CRL) for dynamic inventory control in a multi-agent supply-chain system. Traditional time-triggered...

One area in which experimental economics methods have been used to study operations problems is supply-chain management. We survey results from a series of human experiments based on the popular beer distribution game and find cognitive limitations on the part of managers, in particular an underweighting of the supply line. We suggest mechanisms that may alleviate this bias, including sharing i...