Adapting Warehouse Management Systems to the Requirements of the Evolving Era of Industry 4.0

Abstract

With global megatrends like automation and digitization changing societies, economies, and ultimately businesses, shift is underway, disrupting current business plans and entire industries. Business actors have accordingly developed an instinctive fear of economic decline and realized the necessity of taking adequate measures to keep up with the times. Increasingly, organizations find themselves in an evolve-or-die race with their success depending on their capability of recognizing the requirements for serving a specific market and adopting those requirements accurately into their own structure. In the transportation and logistics sector, emerging technological and information challenges are reflected in fierce competition from within and outside. Especially, processes and supporting information systems are put to the test when technological innovation start to spread among an increasing number of actors and promise higher performance or lower cost. As to warehousing, technological innovation continuously finds its way into the premises of the heterogeneous warehouse operators, leading to modifications and process improvements. Such innovation can be at the side of the hardware equipment or in the form of new software solutions. Particularly, the fourth industrial revolution is globally underway. Same applies to Future Internet technologies, a European term for innovative software technologies and the research upon them. On the one hand, new hardware solutions using robotics, cyber-physical systems and sensors, and advanced materials are constantly put to widespread use. On the other one, software solutions based on intensified digitization including new and more heterogeneous sources of information, higher volumes of data, and increasing processing speed are also becoming an integral part of popular information systems for warehouses, particularly for warehouse management systems. With a rapidly and dynamically changing environment and new legal and business requirements towards processes in the warehouses and supporting information systems, new performance levels in terms of quality and cost of service are to be obtained. For this purpose, new expectations of the functionality of warehouse management systems need to be derived. While introducing wholly new solutions is one option, retrofitting and adapting existing systems to the new requirements is another one. The warehouse management systems will need to deal with more types of data from new and heterogeneous data sources. Also, it will need to connect to innovative machines and represent their respective operating principles. In both scenarios, systems need to satisfy the demand for new features in order to remain capable of processing information and acting and, thereby, to optimize logistics processes in real time. By taking a closer look at an industrial use case of a warehouse management system, opportunities of incorporating such new requirements are presented as the system adapts to new data types, increased processing speed, and new machines and equipment used in the warehouse. Eventually, the present paper proves the adaptability of existing warehouse management systems to the requirements of the new digital world, and viable methods to adopt the necessary renovation processes.

Logistics 4.0 measurement model: empirical validation based on an international survey

“…Burow et al (2018) reported that data from equipment, control systems, legacy systems, products, complex industrial designs, and distribution networks need to be processed, analyzed, and shared seamlessly, safely, and under real-time constraints. Alias et al (2017) identified adaptive processes and supporting information systems as drivers of technological innovation within the evolving area of Industry 4.0. This should be supported by new hardware equipment (e.g.…”

“…Another series of related studies (Alias et al, 2017;Furmann et al, 2017;Burow et al, 2018) investigated advanced planning and data analysis systems and their relationships to Logistics 4.0 measurement model Industry 4.0. These study foci were because one of the main Industry 4.0 visions is to improve how data in manufacturing are processed and integrated into the entire supply chain (Dallasega et al, 2019).…”

“…Alias et al. (2017) identified adaptive processes and supporting information systems as drivers of technological innovation within the evolving area of Industry 4.0.…”

Support the Decision Processes in Management Through the Automatic Generation of Simulation Models of Warehouses

“…The benefits of implementing it in the warehouse translate into the entire supply chain (Buntak et al, 2019). Alias et al (2017) also deals with the adaptation of warehouse management systems (WMS) owned by companies to the new requirements related to digitization. It also proposes the processes necessary to carry out such upgrades.…”

Evolutions of Group Management Development of Mobile Robotic Platforms in Warehousing 4.0.

“…Analyzing the technologies that led to the development of Warehousing, it is worth paying attention to the evolution of Warehouse Management Systems (WMS), as one of the most important components on the basis of which the requirements for warehouse automation in Smart Manufacturing are implemented and achieved [28][29][30][31][32]. Based on the analysis, the following technologies were selected as the basis for each stage of WMS development, which are presented in table 2 for ease of comparison.…”