Siemens' Customer Value Proposition for the Migration of Legacy Devices to Cyber-Physical Systems in Industrie 4.0

2020 ◽  
pp. 955-978
Author(s):  
Diana Claudia Cozmiuc ◽  
Ioan I. Petrisor
Keyword(s):  
Customer Value ◽  
Cyber Physical Systems ◽  
Peer To Peer ◽  
Industrie 4.0 ◽  
Value Proposition ◽  
Value Drivers ◽  
Physical Systems ◽  
Manufacturing Complexity ◽  
New Business ◽  
Customer Value Proposition

Industry is transforming from Industrie 3.0, automation, to Industrie 4.0, digitalization. Siemens intends to be a key player in Industrie 4.0, whose customer value proposition will shape manufacturing industries at customers. This chapter analyzes Siemens' customer value proposition for cyber-physical systems as manufacturing equipment and products in terms of this technology's impact on value. The goal is to identify concrete value drivers which cyber-physical systems technology in Industrie 4.0 brings. The statements about these value drivers belong to Siemens and are compared to operations' management literature. Cyber-physical systems negotiating as peer-to-peer in Industrie 4.0 will bring a new level of complexity. Manufacturing complexity builds complex products. Cyber-physical systems peer-to-peer negotiation decides manufacturing scheduling and brings unprecedented levels of complexity and flexibility. Manufacturing complexity enables new business models, one of which is mass customization.

Siemens' Customer Value Proposition for the Migration of Legacy Devices to Cyber-Physical Systems in Industrie 4.0

2018 ◽  
pp. 305-327
Author(s):  
Diana Claudia Cozmiuc ◽  
Ioan I. Petrisor
Keyword(s):  
Customer Value ◽  
Cyber Physical Systems ◽  
Peer To Peer ◽  
Industrie 4.0 ◽  
Value Proposition ◽  
Value Drivers ◽  
Physical Systems ◽  
Manufacturing Complexity ◽  
New Business ◽  
Customer Value Proposition

Industry is transforming from Industrie 3.0, automation, to Industrie 4.0, digitalization. Siemens intends to be a key player in Industrie 4.0, whose customer value proposition will shape manufacturing industries at customers. This chapter analyzes Siemens' customer value proposition for cyber-physical systems as manufacturing equipment and products in terms of this technology's impact on value. The goal is to identify concrete value drivers which cyber-physical systems technology in Industrie 4.0 brings. The statements about these value drivers belong to Siemens and are compared to operations' management literature. Cyber-physical systems negotiating as peer-to-peer in Industrie 4.0 will bring a new level of complexity. Manufacturing complexity builds complex products. Cyber-physical systems peer-to-peer negotiation decides manufacturing scheduling and brings unprecedented levels of complexity and flexibility. Manufacturing complexity enables new business models, one of which is mass customization.

What Is a P2P Business Model?

2021 ◽  
pp. 758-774
Author(s):  
Djamchid Assadi
Keyword(s):  
Business Model ◽  
Customer Value ◽  
Online Dating ◽  
Peer To Peer ◽  
Extensive Literature ◽  
Value Proposition ◽  
Income Stream ◽  
Customer Value Proposition ◽  
Two Sided Markets

Since 2005, the number of Peer-to-Peer (P2P) platforms has grown substantially in areas such as carpooling, online dating, and crowdfunding. Though the development of P2P activities is increasing, there is a lack of strategic and managerial theories for this type of platform, especially when identifying the elements of its business model. This paper seeks to clearly define what a business model is. Extensive literature is reviewed to build a theory of business model for P2P activities. The validity of the model is tested through crowdfunding platforms. Keywords: Business model, crowdfunding, customer value proposition (CVP), governance, income stream, infrastructural technologies, P2P, two-sided markets,

Durchgängiges Anforderungsmanagement und Engineering für Smart Grid Lösungen

2020 ◽  
Vol 68 (9) ◽  
pp. 711-719
Author(s):  
Mathias Uslar
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Cyber Physical Systems ◽  
Industrie 4.0 ◽  
Internet Der Dinge ◽  
Physical Systems

ZusammenfassungIn diesem Beitrag wird die Notwendigkeit einer sinnvollen Definition und Klarstellung der Disziplin Energieinformatik aufgezeigt. Der Beitrag diskutiert verschiedene bestehende Definitionen und stellt sie in den Kontext des Anforderungsmanagements und der Lösungsfindung. Er motiviert die Notwendigkeit eines strukturierten disziplinären Ansatzes in der Energieinformatik auf der Grundlage bestehender Probleme und skizziert den aktuellen Stand des Stands der Wissenschaft und Technik, der hauptsächlich den systemtechnischen Anwendungsbereich für Smart Grids umfasst. Synergien mit anderen aktuellen Schwerpunktthemen wie Internet der Dinge (IoT), Industrie 4.0 (Digitalisierung der Produktion) und Cyber-Physical Systems (CPS) werden aus Anforderungssicht motiviert. Auf der Grundlage der aufgeworfenen Fragen und Herausforderungen werden neue sinnvolle Forschungsthemen für ein durchgängiges Anforderungsmanagement im Kontext Smart Grid diskutiert.

Step-based evolution support among networked production automation systems

2018 ◽  
Vol 66 (10) ◽  
pp. 849-858
Author(s):  
Christopher Haubeck ◽  
Heiko Bornholdt ◽  
Winfried Lamersdorf ◽  
Abhishek Chakraborty ◽  
Alexander Fay
Keyword(s):  
Production Systems ◽  
Cyber Physical Systems ◽  
Peer To Peer ◽  
Evolution Process ◽  
Physical Systems ◽  
Model Based ◽  
Automation Systems ◽  
Production Automation ◽  
Isolated Systems

Abstract Production systems are no longer rigid, unyielding, and isolated systems anymore. They are rather interconnected cyber-physical systems with an evolution process that needs to be supported. To enable reusability in evolution, a change-first cooperative support is proposed that relies on model-based evolution steps. The approach establishes a network-wide evolution process in a peer-to-peer networked community. Thus, moving towards decentralised marketplaces for evolution steps.

scholarly journals Customer value creation via business model implementation

2015 ◽  
Vol 10 (10) ◽  
pp. 2580-2584
Author(s):  
Karaoulanis Andreas
Keyword(s):  
Business Model ◽  
Value Creation ◽  
Customer Value ◽  
Business Models ◽  
Value Proposition ◽  
Model Concept ◽  
Customer Value Proposition

Business models are the blueprints upon which the whole structure and operation of the company is based. The aim of this paper is to underline the importance of business models in value creation for the company and to dig a bit deeper by revealing the synthesis of an abstract business model concept. The importance of customer value proposition via the customer value creation is very well underlined in order to pinpoint the author’s prevalent idea that focusing on customers’ needs should be the alpha and the omega for the eurythmic operation of every contemporary company.

Intelligente Fehlerdiagnose in Industrie 4.0*/Intelligent fault diagnosis in Industry 4.0 - New opportunities for the sophisticated diagnosis in automated production environments

2015 ◽  
Vol 105 (03) ◽  
pp. 90-95
Author(s):  
H. Fleischmann ◽  
J. Kohl ◽  
M. Schneider ◽  
J. Franke
Keyword(s):  
Industry 4.0 ◽  
Initial Step ◽  
Cyber Physical Systems ◽  
Industrie 4.0 ◽  
Physical Systems ◽  
Automated Production ◽  
Root Cause ◽  
Repair Procedure ◽  
Technical Maintenance ◽  
Assistant Systems

Die zunehmende Komplexität moderner Produktionsanlagen stellt die technische Instandhaltung vor gesteigerte Herausforderungen. Beim Auftreten eines Fehlers ist es im ersten Schritt notwendig, dessen genaue Ursache zu diagnostizieren, noch bevor die eigentliche Reparatur beginnen kann. Als ein Befähiger von Industrie 4.0 bilden Cyber-Physical Systems die Grundlage für ein neuartiges Assistenzsystem, welches die Diagnostik hochentwickelter Produktionsanlagen effizienter gestaltet.   The increasing complexity of sophisticated production plants poses new challenges in the field of technical maintenance. The initial step in the repair procedure is a problem root-cause analysis. As a key enabler of the Industry 4.0 cyber-physical systems form the core of novel assistant systems, which deliver more efficient diagnostic mechanisms for production facilities.

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