We consider a system in which multiple-items are transferred from a warehouse or a plant to a retailer through identical capacitated vehicles, or freight wagons. Any mixture of the items may be loaded on a vehicle. The retailer is facing dynamic deterministic demand for several items, over a finite planning horizon. A vehicle incurs a fixed cost for each trip made from the warehouse to the reta...

The dynamic nature of today’s competitive markets compels organizations to an incessant reassessment in an effort to respond to continuous challenges. Therefore, warehouses as an important link in most supply chains, must be continually re-evaluated to ensure that they are consistent with both market’s demands and management’s strategies. A number of warehouse decision support models have been ...

Inventories exist throughout the supply chain in various forms for various reasons. Since carrying these inventories can cost anywhere from 20 to 40% of their value a year, managing them in a scientific manner to maintain minimal levels makes economic sense. This paper presents a near-optimal (s, Q)-type inventory policy for a production/distribution network with multiple suppliers replenishing...

We propose a nonparametric data-driven algorithm called DDM for the management of stochastic periodicreview multi-product inventory systems with a warehouse-capacity constraint. The demand distribution is not known a priori and the firm only has access to past sales data (often referred to as censored demand data). We measure performance of DDM through regret, the difference between the total e...

The main objective of this paper is to develop a two-warehouse inventory model with partial backordering and Weibull distribution deterioration. We consider inflation and apply the discounted cash flow in problem analysis. The discounted cash flow DCF and optimization framework are presented to derive the optimal replenishment policy that minimizes the total present value cost per unit time. Wh...

In Rail Automation, planning future projects requires the integration of business-critical data from heterogeneous data sources. As a consequence, data quality of integrated data is crucial for the optimal utilization of the production capacity. Unfortunately, current integration approaches mostly neglect uncertainties and inconsistencies in the integration process in terms of railway specific ...

We propose a nonparametric data-driven algorithm called DDM for the management of stochastic periodicreview multi-product inventory systems with a warehouse-capacity constraint. The demand distribution is not known a priori and the firm only has access to past sales data (often referred to as censored demand data). We measure performance of DDM through regret, the difference between the total e...

In this chapter I show that elementary math models reveal powerful insights that can help understand better design and management decisions in facility logistics operations. Subsequently I develop models for designing a truckoperated unit-load warehouse (sizing it, calculating the load orientation, and determining the warehouse lengthwidth ratio). Next the optimal stacking depth is calculated a...