Developing smart services by internet of things in manufacturing business

Journal Title: LogForum - Year 2018, Vol 14, Issue 1

Abstract

Background: The aim of this study is to introduce a framework, which describes a customer-oriented approach for developing data-driven services by the Internet of Things (IoT), also known as "Smart Services" in manufacturing business. Methods: A literature review presents a background for IoT, data and digitalization of services, as well as the role of simulation technologies for the development process of Smart Services. For the empirical study, an agricultural tractor manufacturer case company was analyzed utilizing Customer Needs Assessment tools to determine the new service requirements. Results: The agricultural industry is also adopting the IoT related technologies to deliver services which are able to track crop environments in order to optimize crop yields and develop sustainable outcomes. The results obtained from the Need Interpretation Table and the Trace Matrix show that farmers need Smart Services to be able to connect their tractors and implements to the Internet for a better understanding of agricultural operations. They also demand a personalized everyday working plan based on data analyzed on previous work shifts.  From the case company side, it is important to collect and analyze usage data, such as temperature, humidity and pressure of tractor environment, as well as data related to determine root causes and failure rates. Conclusion: The scientific contribution demonstrates the relationship between Product Lifecycle Management and IoT, and how it can leverage Smart Services. The practical contribution was based on the empirical study results by delivering smart service propositions in a tractor company, such as operation and remote failure tracking, showing customer demands for machine productivity, time saving and sustainable resource optimization. A part of this study was presented as oral presentation at the "24th International Conference on Production Research (ICPR 2017)" in Poznan, Poland from July 30 to August 3, 20017.

Authors and Affiliations

Jesús Mario Verdugo Cedeno, Jorma Papinniemi, Lea Hannola, Ilkka Donoghue

Keywords

Related Articles

Drivers of green supply chain management

Background: In the manufacturing business, producers have been facing the problem to decrease the environmental effects during the manufacturing procedure. There is a need for the dedication and resources to address t...

Analysing the efficiency of logistic actions in complex supply chains - conceptual and methodological assumptions of research

Background: Efficient management of dispersed and varied structure of supply chains is a complicated process both in terms of organisation and decision making. Merged companies forming groups with integrated capital c...

Comparison of time-oriented methods to check manufacturing activities and an examination of their efficiency

Background: Warehouse Production management systems now require IT aspects which can be automated, so that processes can be easily reviewed.  During our research, we analyzed four and a half years of database and...

Class-based storage warehouse design with diagonal cross-aisle

Background: Unit-load (UL) warehouses are among the most diffuse solutions to store items stocked in pallets, while class-based storage (CBS) assignment is an effective strategy balancing the storage space need and th...

Hybrid model of an expert system for assessing the stability of a production system

Background: The article presents the concept of control of the production system, which allows to maintain its stability, and thus to implement the established production plans. For this purpose, combinations of simul...

Download PDF file
  • EP ID EP508274
  • DOI 10.17270/J.LOG.2018.268
  • Views 132
  • Downloads 0

How To Cite

Jesús Mario Verdugo Cedeno, Jorma Papinniemi, Lea Hannola, Ilkka Donoghue (2018). Developing smart services by internet of things in manufacturing business . LogForum, 14(1), 59-71. https://europub.co.uk/articles/-A-508274