Abstract

The case study, spanning three contexts, concerns a multi-usable cloud service platform for big data collection and analytics and how the development pace and efficiency of it has been improved by 50–75% by using the Arrowhead framework and changing development processes/practices. Furthermore, additional results captured during the case study are related to technology, competencies and skills, organization, management, infrastructure, and service and support. A conclusion is that when offering a complex offer such as an Industrial Product-Service System, comprising sensors, hardware, communications, software, cloud service platform, etc., it is necessary that the technology, business model, business setup, and organization all go hand in hand during the development and later operation, as all ‘components’ are required for a successful result.

Highlights

  • This paper addresses a micro small and medium-sized enterprise (SME), Adage AB, in Sweden and its journey of developing and operating a multi-usable cloud service platform for big data collection and analytics

  • The design of the case study included: formulating the study question, stating the study proposition: how has the company needed to change in terms of, e.g., the below, in order to improve and keep a high development pace and efficiency:

  • Common approaches for analogue sensing when the concrete pre-fabs or platforms are hardened and ready for use are to use the fingers to sense, using nails to estimate the hardness, or use other rules-of-thumb regarding what temperature or time has elapsed since the concrete moulds were filled, or which sand quality that was used in the concrete

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Summary

Introduction

This paper addresses a micro small and medium-sized enterprise (SME), Adage AB (hereafter the company), in Sweden and its journey of developing and operating a multi-usable cloud service platform for big data collection and analytics. The journey is described as a case study spanning three contexts: construction and prefabrication (monitoring of hardening process for concrete molds), real estate (monitoring of humidity inside of exterior walls), and recycling management (monitoring and optimization of recycling of glass, paper, metals, plastics, etc.) The latter context will be given the most emphasis, as it is the most interesting and developed one. More value is expected to be delivered as the surrounding society and technology continuously develop, become more sophisticated, and learn more about what can be expected or demanded This is a challenge and this paper provides some insight into how a multi-usable cloud service platform, based on the industrial internet and internet-of-things (IoT) paradigms, can efficiently meet this challenge. A number of related matters that the company has overcome are analyzed and discussed

Related Work
Important Issues Necessary to Manage
Development Pace and Efficiency—Benchmarking Examples
Research Approach
A Multi-Usable Cloud Service Platform and the Case Study’s Three Contexts
Multi-Usable Cloud Service Platform—Architecture
Outline
Construction and Pre-Fabrication Context
Real Estate Context
Recycling Management Context
Results
Analysis
Discussion and Conclusions

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