This paper introduces the Inventory-Routing Problem with Transshipment (IRPT). This problem arises when vehicle routing and inventory decisions must be made simultaneously, which is typically the case in vendor-managed inventory systems. Heuristics and exact algorithms have already been proposed for the Inventory-Routing Problem (IRP), but these algorithms ignore the possibility of performing t...

This paper investigates the integrated optimization of production, distribution and inventory decisions related to supplying multiple retailers from a central production facility. A single-item uncapacitated lot-sizing problem is defined for optimizing production decisions and inventory management. The optimization of daily distribution is modeled as a traveling salesman problem or a vehicle ro...

We study the integrated inventory distribution problem which is concerned with multiperiod inventory holding, backlogging, and vehicle routing decisions for a set of customers who receive units of a single item from a depot with infinite supply. We consider an environment in which the demand at each customer is deterministic and relatively small compared to the vehicle capacity, and the custome...

This paper presents a two-echelon non-repairable spare parts inventory system that consists of one warehouse and m identical retailers and implements the reorder point, order quantity (R, Q) inventory policy. We formulate the policy decision problem in order to minimize the total annual inventory investment subject to average annual ordering frequency and expected number of backorder constraint...

this paper aims to investigate the integrated production/distribution and inventory planning for perishable products with fixed life time in the constant condition of storage throughout a two-echelon supply chain by integrating producers and distributors. this problem arises from real environment in which multi-plant with multi-function lines produce multi-perishable products with fixed life ti...

We consider a model of single-item periodic-review inventory system with stochastic demand, linear ordering cost, where in each time period, the system must order either none or at least as much as a minimum order quantity (MOQ). Optimal inventory policies for such a system are typically too complicated to implement in practice. In fact, the ðs;SÞ type of policies are often utilized in the real...

In this study, a two phase hybrid heuristic approach was proposed to solve the multi-depot multi-vehicle inventory routing problem (MDMVIRP). Inventory routing problem (IRP) is one of the major issues in the supply chain networks that arise in the context of vendor managed systems (VMI) The MDMVIRP combines inventory management and routing decision. We are given on input a fleet of homogeneous ...

Data mining techniques reveal patterns in large databases that may be strategically relevant. Organizations prepare the data before participating in data sharing agreements in order to avoid revealing tactically important insights to external organizations. Viable techniques that preserve the privacy of strategically significant frequent item sets are essential in the protection of a competitiv...

This paper describes four computer programs that perform what were formerly management-decision functions in inventory scheduling. The first program solves the classical EOQ problem (uniform inventory usage) with quantity discounts. The second program, Economic Requirement Batching (ERB), uses dynamic programming, a heuristic search algorithm, and the relation between shipment size and material...