Material Handling Equipment (MHE) is widely used to move packaged goods from manufacturing to warehousing, storage, transportation, in both warehouses and distribution centers to retail stores. Moving product between facilities is done by different types of equipment ranging from manually pushed carts to automated vehi­ cles. A considerable amount of research has been conducted to eval­ uate th...

The current stereo warehouse in the cold chain logistics industry faces problems such as high product loss rate, severe temperature deviations, and low level of informatization. To ensure food quality safety warehouses, achieve cost reduction efficiency improvement, this study focuses on operational scenarios warehouses logistics, designs a five-dimensional digital twin model with full mapping ...

Third party logistics (3PL) service providers play a growing responsibility in the management of supply chain. The global and competitive business environment of 3PLs has recognized the significance of a speedy and proficient service towards the customers in the past few decades. Particularly in warehousing, distribution, and transportation services, a number of customers anticipate 3PLs to imp...

Purpose – The purpose of this paper is to determine the fundamental factors influencing maintenance costs of logistic buildings and to provide benchmark indications for designing maintenance efficient warehouses that contribute to the enhancement of business performance. Design/methodology/approach – The relations between factors and indicators of building facilities maintenance costs are exami...

These last years, the sources of data became very heterogeneous and massive. The term "big data" is born to indicate this phenomenon. Unfortunately, he becomes difficult to manage big data to power the decisional system, and also it increases the time of interrogation of data from data warehouses. Several research works focused recently, on the proposal for the architectures of data warehouses ...

This paper proposes the macro model and micro model for the efficiency evaluation of data warehouses (DWH), and introduces Fuzzy Data Envelopment Analysis (FDEA) and Data Envelopment Analysis (DEA) to comprehensively assess DWH efficiency. FDEA can determine the efficiencies of data warehouses with multiple input / output variables, and also resolve the problem that standard DEA cannot handle w...

The effort of data mining, especially in relation to association rules in real world business applications, is significantly important. Recently, association rules algorithms have been developed to cope with multidimensional data. In this paper we are concerned with mining association rules in data warehouses by focusing on its measurement of summarized data. We propose two algorithms: HAvg and...

In enterprises, a large volume of data has been collected and stored in data warehouses. Advances in data gathering, storage, and distribution have created a need for integrating data warehousing and data mining techniques. Mining data warehouses raises unique issues and requires special attention. Data warehousing and data mining are interrelated , and require holistic techniques from the two ...

This study considers a supply chain that consists of n retailers, each of them facing a newsvendor problem, m warehouses and a supplier. The retailers are supplied with a single product via some warehouses. In these warehouses, the ordered amounts of goods of these retailers become available after some lead time. At the time that the goods arrive at the warehouses, demand realizations are known...