scholarly journals System of Systems Lifecycle Management—A New Concept Based on Process Engineering Methodologies

2021 ◽  
Vol 11 (8) ◽  
pp. 3386
Author(s):  
Dániel Kozma ◽  
Pál Varga ◽  
Felix Larrinaga

In order to tackle interoperability issues of large-scale automation systems, SOA (Service-Oriented Architecture) principles, where information exchange is manifested by systems providing and consuming services, have already been introduced. However, the deployment, operation, and maintenance of an extensive SoS (System of Systems) mean enormous challenges for system integrators as well as network and service operators. The existing lifecycle management approaches do not cover all aspects of SoS management; therefore, an integrated solution is required. The purpose of this paper is to introduce a new lifecycle approach, namely the SoSLM (System of Systems Lifecycle Management). This paper first provides an in-depth description and comparison of the most relevant process engineering methodologies and ITSM (Information Technology Service Management) frameworks, and how they affect various lifecycle management strategies. The paper’s novelty strives to introduce an Industry 4.0-compatible PLM (Product Lifecycle Management) model and to extend it to cover SoS management-related issues on well-known process engineering methodologies. The presented methodologies are adapted to the PLM model, thus creating the recommended SoSLM model. This is supported by demonstrations of how the IIoT (Industrial Internet of Things) applications and services can be developed and handled. Accordingly, complete implementation and integration are presented based on the proposed SoSLM model, using the Arrowhead framework that is available for IIoT SoS.

2005 ◽  
Vol 5 (3) ◽  
pp. 227-237 ◽  
Author(s):  
Ravi M. Rangan ◽  
Steve M. Rohde ◽  
Russell Peak ◽  
Bipin Chadha ◽  
Plamen Bliznakov

The past three decades have seen phenomenal growth in investments in the area of product lifecycle management (PLM) as companies exploit opportunities in streamlining product lifecycle processes, and fully harnessing their data assets. These processes span all product lifecycle phases from requirements definition, systems design/ analysis, and simulation, detailed design, manufacturing planning, production planning, quality management, customer support, in-service management, and end-of-life recycling. Initiatives ranging from process re-engineering, enterprise-level change management, standardization, globalization and the like have moved PLM processes to mission-critical enterprise systems. Product data representations that encapsulate semantics to support product data exchange and PLM collaboration processes have driven several standards organizations, vendor product development efforts, real-world PLM implementations, and research initiatives. However, the process and deployment dimensions have attracted little attention: The need to optimize organization processes rather than individual benefits poses challenging “culture change management” issues and have derailed many enterprise-scale PLM efforts. Drawn from the authors’ field experiences as PLM system integrators, business process consultants, corporate executives, vendors, and academicians, this paper explores the broad scope of PLM, with an added focus on the implementation and deployment of PLM beyond the development of technology. We review the historical evolution of engineering information management/PLM systems and processes, characterize PLM implementations and solution contexts, and discuss case studies from multiple industries. We conclude with a discussion of research issues motivated by improving PLM adoption in industry.


2021 ◽  
Vol 5 (1) ◽  
pp. 44-50
Author(s):  
Rishab Srivastava

Breakthrough technologies can be considered as exponentially disruptive to organizations across industries within the last few decades of the 21st century, as they have significantly altered the way their business units or customers operate. Artificial Intelligence related cognitive technologies are some of the latest disruptive solutions currently being adopted by organizations. Organizational leaders may feel both the pressure and excitement of adopting such nascent technology quickly and at scale. However, due to organizational knowledge gaps of nascent solutions, transformative large-scale initiatives have a higher risk of negative impact on failure to implement. On the other hand, an iterative approach allows for the implementation to occur in smaller amounts and leaves room for incorporating feedback and lessons learned in future iterations, thus mitigating the risks involved with the undertaking. This article breaks down the nascent field of advanced cognitive technologies into three main categories based on their business use cases: process automation, cognitive insights, and cognitive engagement. It then explores implementing this technology in each of its three categories through the lens of a popular iterative product lifecycle management approach (i.e., the Minimum Viable Product) to reduce the risk of failure or other negative impacts on an organization adopting cognitive solutions.


2007 ◽  
Vol 129 (02) ◽  
pp. 36-38
Author(s):  
Jean Thilmany

This article focuses on the need for improvement in product lifecycle management (PLM) interoperation. PLM interoperation would allow companies to work with the best tools for its business and not be limited in communicating with customers and suppliers. PLM systems are getting a fresh look and one should expect to see more of the type now often called end-to-end open systems. The secret is the middleware, dubbed service-oriented architecture (SOA), which links all these applications in an interconnected web. IBM introduced plans for its Product Development Integration Framework, which will tie all business applications via SOA to create an end-to-end, open PLM system. The company is also marketing an enterprise service bus that can loosely couple its own business applications with other applications, which will then operate on the system. According to an expert, by linking research to engineering, Samsung’s products could hit the market quicker than if the two functions worked separately, and products could be designed in ways that had only just been conceptualized.


Author(s):  
Paul Witherell ◽  
Boonserm Kulvatunyou ◽  
Sudarsan Rachuri

Product lifecycle management is an important aspect of today’s industry, as it serves to facilitate information exchange and management between most, if not all, stages of a product’s existence. As exchanged product information is inevitably subjected to multiple transformations and derivations, information transparency between lifecycle stages can be difficult to achieve. Synthesizing representations of product information across the lifecycle, by creating a lifecycle-stage-independent platform, can provide transparent access to information for both upstream and downstream applications. In this paper, we review previous and ongoing efforts using ontologies as a means to support information integration and interoperability throughout the lifecycle of a product. We propose that existing efforts can be leveraged to create an upper-tiered ontology for product information. The resulting ontology, a core model for product lifecycle information, would support the synthesis and exchange of product information across lifecycle stages, improving access to this information and facilitating lifecycle thinking. We discuss the use of ontologies as a means to create and link paradigm-independent representations. We discuss the translations that product information may face when integrated through ontologies, and the extent to which the integrity of the information can be preserved across the lifecycle. We investigate the role of information quality in the exchange and evolution of product information across the lifecycle. Finally, we discuss the application of an upper-tiered ontology, particularly the advantages offered by increased transparency and interoperability, as a means to support lifecycle thinking for mitigating a product’s sustainability impact.


Author(s):  
Vijay Srinivasan ◽  
Lutz Lämmer ◽  
Steven Vettermann

Recent developments in information technology are influencing the field of engineering informatics in some profound ways. Nowhere is the influence more evident than in the use of Internet-based technologies and standards to share engineering and business information across a worldwide enterprise. In turn, the business need for collaboration among various players and partners in a globally integrated enterprise is driving the development and deployment of open standards, service-oriented architecture, and middleware. The convergence of these developments has provided us an opportunity to architect and implement a product information sharing service described in this paper. The architecture is service oriented and is based on the Object Management Group's PLM Services 1.0 specifications. It is implemented using IBM’s WebSphere Process Server middleware and PROSTEP’s OpenPDM software. This product information sharing service is one of the first industrial examples of a successful application of service-oriented architecture to product lifecycle management.


2019 ◽  
Vol 25 (6) ◽  
pp. 1335-1356 ◽  
Author(s):  
Shikha Singh ◽  
Subhas Chandra Misra

Purpose The purpose of this paper is to study the barriers to institutionalize the product lifecycle management (PLM) in large manufacturing organizations. The paper explores the hurdles and identifies the causal barriers to support the organizations’ transformation into digitized firms. Design/methodology/approach The paper utilized the multi-criteria decision making technique, i.e., DEMATEL (DEcision MAking Trial and Evaluation Laboratory) method to find the causal barriers, and adopted maximum mean de-entropy (MMDE) algorithm to determine the threshold value based on the information entropy of the relations among the barriers to PLM institutionalization. Findings This study explored nine barriers to PLM institutionalization and empirically identified the four critical barriers among the nine. Research limitations/implications The present work is exploratory case-based research which is limited to a case of an Indian aircraft manufacturing firm with a limited number of respondents. More sophisticated statistical tools can be utilized to consider the subjectivity of the respondents. However, this research explores the various hurdles to PLM success and serves as a relevant outcome to identify the critical barriers to institutionalize the PLM concept. Practical implications The findings of the paper provide guidelines to the case company and similar firms for obtaining maximum benefits of PLM. The methodology shown in this paper will be useful to various large scale industries in identifying the critical barriers to PLM institutionalization among all existing barriers so that they can take appropriate measures before they proceed to adopt PLM. Originality/value The present work discusses the different reasons for which the companies are not able to derive the maximum benefits of PLM even after the implementation of PLM systems. This work uniquely applied the DEMATEL and MMDE methods to investigate the critical barriers to PLM institutionalization in an aircraft manufacturing firm.


Author(s):  
Chunlei Li ◽  
Chris McMahon ◽  
Linda Newnes

In many engineering fields, a great deal of development is based on information processing, in particular the storing, retrieving, interpretation, and re-use of existing data. To be more competitive, the fast developing Product Lifecycle Management (PLM) systems are widely deployed by large scale enterprises. In order to improve the efficiency of data management and communication, annotation technology is considered as a promising approach to aid collaboration between design teams in concurrent design and to aid various needs during the entire product lifecycle. In this paper, a classification of approaches to annotation based on an investigation of the state-of-the-art is presented. Cases are used to illustrate how these approaches aid different phases of the product life cycle. Finally, future challenges in the use of annotation in engineering are discussed. Through this research, the contribution of the use of annotation is demonstrated, and further research work is proposed based on the findings.


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