This paper studies linear quadratic games with set up costs monotonic on the number of active players, namely, players whose action is non-zero. Such games arise naturally in joint replenishment inventory systems. Building upon a preliminary analysis of the properties of the best response strategies and Nash equilibria for the given game, the main contribution is the study of the same game unde...

Abstract Aiming at the optimal allocation of irrigation water in a multi-water source project resource shortage area, this study developed joint scheduling optimization model for reservoir and pumping station under deficit conditions. In model, maximum annual yield area was objective function; supply, spill replenishment pump each stage were decision variables; total supply system, operation cr...

We develop exact simulation (also known as perfect sampling) algorithms for a family of assemble-to-order systems. Due to the finite capacity, and coupling in demands and replenishments, known solving techniques are inefficient for larger problem instances. We first consider the case with individual replenishments of items, and derive an event based representation of the Markov chain that allow...

The Inventory Routing Problem (IRP) involves the distribution of one or more products from a supplier to a set of customers over a discrete planning horizon. The version treated here, the so-called Vendor Managed Inventory Routing Problem (VMIRP), is the Inventory Routing problem arising when the replenishment policy is decided a priori. We consider two replenishment policies. The first is know...

In this paper an uncapacitated multiple allocation p-hub median problem is discussed. The model minimizes the transportation cost based on inventory service level at hubs through double paths between hubs. Inventory service level is defined as the percent of inventory shortage of vehicles at hubs according to passengers demand and replenishment time of vehicles. A real data from 25 nodes of mun...

Inventory record inaccuracy is a significant problem for retailers using automated inventory management systems. While investments in preventative and corrective measures can be effective remedies, gains can also be achieved through inventory management tools that account for record errors. In this paper, we consider intelligent inventory management tools that account for record errors using a ...

In this paper, we propose a Multi-operator Genetic Algorithm (MGA) for solving the diversified fuel replenishment problem (DFRP). We particularly consider the delivery problem of multiple types of fuels to n stations geographically dispersed in an addressed area. The main objective of the delivery process is to minimize the total travel distance of a fleet of trucks equipped by multi-compartmen...

Deriving the optimal cash deployment strategy for a network of ATMs involves the analysis of logistics costs, inventory policies as well as of the routing of replenishment vehicles. The optimal cash deployment strategy focuses on the reduction of cash-related expenses provided that ATMs do not run out of cash. In the paper, this rich vehicle routing problem is solved using genetic algorithm. Th...

In practice, suppliers often provide retailers with forward financing to increase demand or decrease inventory. This paper proposes a new and practical joint replenishment and delivery (JRD) model by considering trade credit. However, because of the complex mathematical properties of JRD, high-quality solutions to the problem have eluded researchers. We design an effective hybrid differential e...