International audienceAs the supply chains get more complex, the variety of indicators and tools to measure warehouse performance has alsoincreased. Furthermore, the metrics that are used for performance evaluation are assessed in different manners and hencethere is not clear definition for some of these metrics. To address these issues, this literature review focuses on operationalwarehouse performance measurement, for which the warehouse managers need to carry out periodic analysis. Using thecontent analysis method, performance indicators are acquired from selected papers and are classified according to time, cost,quality and productivity dimensions. The contributions of this literature review are as follows: we present a synthesis of theliterature on operational warehouse performance, we provide the definitions for the performance indicators and a frameworkto demonstrate their boundaries and, finally, based on the literature analysis, we also provide some discussions on currenttrends in warehouses and propose future research directions on warehouse performance evaluation

The aim of this paper is to develop a general purpose analytical method for performance evaluation of multistage kanban controlled production systems. We consider a single-part type production system decomposed into stages in series. Each stage consists of a manufacturing cell and an output buffer. With each stage is associated a given number of kanbans. The kanban controlled production system is modeled as a queueing network with synchronization mechanisms. The basic principle of the proposed approximation method is to decompose the original kanban system into a set of subsystems, each subsystem being associated with a particular stage. Each subsystem is analyzed in isolation using a product-form approximation technique. An iterative procedure is then used to determine the unknown parameters of each subsystem. Numerical results show that the method is fairly accurate.

No abstract