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This paper aims to capture and manage the product lifecycle data for consumer products, especially data that occur in distribution, usage, maintenance and end‐of‐life stages, and to use them to provide information and knowledge.

A lifecycle information acquisition and management model is proposed, and an information management system framework is formulated. The information management system developed is then used in actual field trials to manage lifecycle data for refrigeration products and game consoles.

It has been demonstrated that valuable services can be delivered through a lifecycle information management system.

Lifecycle information management systems can open new horizons for product design which are sustainable and environmentally sensitive. They also contribute to the wider exploration of eco‐design and development of next generation consumer products (e.g. smart home appliances).

Existing lifecycle information systems cannot support all phases of the product lifecycle. They mainly manage the lifecycle data only during the design and manufacture stages. Lifecycle data during distribution, usage, maintenance and end‐of‐life stages are usually hard to acquire and in most cases lost. The lifecycle information management system developed can capture them, and manage them in an integrated and systematic manner to provide information and knowledge.

The purpose of the paper is to propose a reference model describing a holistic view of the master data lifecycle, including strategic, tactical and operational aspects. The Master Data Lifecycle Management (MDLM) map provides a structured approach to analyze the master data lifecycle.

Embedded in a design oriented research process, the paper applies the Component Business Model (CBM) method and suggests a reference model which identifies the business components required to manage the master data lifecycle. CBM is a patented IBM method to analyze the key components of a business domain. The paper uses a participative case study to evaluate the suggested model.

Based on a participative case study, the paper shows how the reference model makes it possible to analyze the master data lifecycle on a strategic, a tactical and an operational level, and how it helps identify areas of improvement.

The paper presents design work and a participative case study. The reference model is grounded in existing literature and represents a comprehensive framework forming the foundation for future analysis of the master data lifecycle. Furthermore, the model represents an abstraction of an organization's master data lifecycle. Hence, it forms a “theory for designing”. More research is needed in order to more thoroughly evaluate the presented model in a variety of real‐life settings.

The paper shows how the reference model enables practitioners to analyze the master data lifecycle and how it helps identify areas of improvement.

The paper reports on an attempt to establish a holistic view of the master data lifecycle, including strategic, tactical and operational aspects, in order to provide more comprehensive support for its analysis and improvement.

This study attempts to expand knowledge of product lifecycle management (PLM) and supporting systems. Its objective is threefold: first, to identify and assess the impact of two key PLM building blocks on new product performance. Second, to use the aforementioned PLM building blocks to highlight the distinctive nature of PLM and closed‐loop PLM systems. Third, to demonstrate that the closed‐loop PLM system provides more new product benefits than the PLM system and that the usage of the closed‐loop PLM system is positively related to new product development.

The research hypotheses were tested on data collected from 87 manufacturers in the transportation equipment manufacturing industry in one Canadian province.

The findings show that only ten manufacturers have adopted a closed‐loop PLM system. As expected, the results show that the two key PLM building blocks, namely operational integration and information system (IS) usage, are positively related to new product development. Findings also show that the level of forward operational integration is similar in the closed‐loop PLM system and in the PLM system, while the level of backward operational integration, the usage of the PLM system and new product development are higher in the closed‐loop PLM system. Finally, the results demonstrate that the usage of the closed‐loop PLM system is positively related to new product development.

This contribution should give academics and practitioners alike a better understanding of the role and benefits of PLM and its supporting systems (the PLM system and the closed‐loop PLM system).

Strategic trends towards service operations have been widely reported in the recent literature, but organisational capabilities to support such service-centred strategies are less well understood. The purpose of this paper is to identify key organisational issues in managing complex engineering service operations throughout the lifecycle.

Using instruments developed from the product lifecycle management technologies and the network configuration concept, key organisational issues for engineering service operations were identified through case studies focusing on complex engineering products and services systems across a variety of industrial sectors.

The case studies demonstrated different organisational features and strategic priorities of engineering service operations along the whole lifecycle. A generic trend has been observed for engineering systems to move from being design, development and manufacturing focused to embracing support and end-of-life recycling matters.

This paper provides an overall framework for integrating key organisational issues in engineering service operations. It contributes to the service literature by highlighting the need of developing appropriate organisational capabilities to support service-centred strategies with engineering cases. It also provides guidance for companies to manage their engineering network operations throughout the whole lifecycle of complex products and services systems.

Product lifecycle management (PLM) is an enterprise-wide strategy gaining prominence across manufacturing. The fashion industry is a late adopter of PLM, yet within global fashion and textile organisations PLM is now becoming a mainstream approach to optimize core processes. This literature review analyses the latest academic research to establish a broad basis of understanding of PLM in the sector and identify potential future research directions.

A systematic literature review was conducted to investigate the current state and main perspectives of research on PLM in the textiles and apparel sector. The paper adopts the three features (managerial, technological and collaborative) of the definition of PLM by Corallo et al. (2013) as the analytic framework for the 27 papers to illustrate how PLM is framed and conceptualised in the RFA sector.

PLM is at an interesting phase as it evolves from classical PLM 1.0 to connected PLM 2.0. The evolution of PLM from its PDM origins as an IT tool to a critical component of the strategy for digital transformation is reported. The strategic role of suppliers is noted as a critical success factor. Key inhibitors relating to PLM adoption and optimization in the sector are identified as limited holistic and theoretical perspective of PLM coupled with a deficiency in relevant industry skills. It is argued that the transformational potential of PLM 2.0 may not be fully realised without a more coordinated development effort through industrial and academic collaboration.

The limitations of this study are that it is a literature review of academic papers in the RFA sector papers within the timescale 2000–2018. PLM 1.0 has dominated in this time period however the potential trajectory of connected PLM 2.0 is beginning to emerge.

The results from this paper indicate that there is a lack of research on PLM in the sector and concludes by suggesting promising future research possibilities: further empirical and case studies on organisations implementing a PLM strategy; studies reporting on the contribution of PLM to address the challenges of sustainability, traceability and transparency in the industry and inter-industry collaborations; studies with knowledge management theories specifically applied to the textile and apparel sector; and the opportunity for academic and industry collaboration on the development of PLM to meet these needs.

To the best of the author's knowledge, no systematic literature review on this topic has previously been published in academic journals. Given levels of investment in PLM platforms in the sector, both practitioners in companies and the academic community might find the review and agenda for future research useful.

The paper seeks to investigate the question as to how the business benefits of product data management (PDM) can be assessed and realized. In particular, it aims at understanding the means‐end relationship between PDM and product data on the one hand and a company's business goals on the other hand.

The paper uses a case study research approach. The case of Festo is unique and allows for detailed examination of both the business benefits of PDM and of the inter‐dependencies of various business benefit enablers. Due to the limited amount of scientific knowledge with regard to the management of PDM business benefits, the study is exploratory in nature. The conceptual framework used to guide the study combines business engineering concepts and the business dependency network technique.

The findings are threefold. First, the paper explicates and details the understanding of the nature of PDM business benefits. Second, it provides insight into the complexity and interdependency of various “means” – such as data ownership, product data standards, for example – and the “ends” of PDM, namely the contribution to a company's business goals. Third, the paper forms the baseline for a comprehensive method supporting the management of PDM business benefits.

Single‐case studies require further validation of findings. Thus, future research should aim at replicating the findings and at developing a comprehensive method for the management of PDM business benefits.

Companies may take up the results as a “blueprint” for their own PDM activities and may reflect their own business benefits against the case of Festo.

The paper is one of the first contributions focusing on the means‐end relationship between PDM and product data on the one hand and a company's business goals on the other.

The purpose of this paper is to distinguish clearly between industry (ILC) and product lifecycle (PLC) models and to elucidate their different ramifications for organizational learning and knowledge.

The authors examine existing knowledge on ILCs and PLCs to highlight the differences and similarities and develop a framework with implications for learning and innovation in digital manufacturing industries.

The authors identify and associate one dominant type of learning with each phase of the ILC: learning-by-participating in the introduction phase, learning-by-feedback in the growth phase, vicarious learning in the maturity phase and learning-by-memory in the decline phase. The study also provides insight into how different types of learning influence PLC in digital innovation. From this perspective, learning-by-feedback is crucial to co-creation, co-production and open innovation. Similarly, learning-by-doing and learning-by-memory are essential to production and usage stages, respectively.

The conceptual development in this paper follows a somewhat critical but ultimately elucidative analysis that highlights important research avenues in the interplay of PLC/ILC, organizational learning and digital innovation.

This paper clarifies a perennial theoretical problem by differentiating two concepts often conflated in the literature. More importantly, it contributes to the knowledge management literature by shedding light on the connection of ILC and PLC theories to different types of organizational learning.

Nowadays manufacturers companies are increasingly compelled to navigate towards servitization. Different methods and approaches were proposed in literature to support them to switch from traditional product-based business model to product service systems (PSSs). However, new knowledge, capabilities and skills were needed to consistently develop PSSs, since they need a joint focus on both customer’s perspective and company’s internal performance and at the same time a proper support for the integration of product and service design. The purpose of this paper is to propose the Product Service System Lean Design Methodology (PSSLDM), a structured methodology to develop PSSs along their entire lifecycle.

Retrieving concepts from interpretative, interactive and system development research traditions, and strongly reminding the design research methodology framework, the adopted research methodology is composed of three main phases (observation and conceptualization, theory building and tool development, validation) and involved three heterogeneous companies.

This paper provides an overview of the PSSLDM, explaining how the different methods supporting its conduction should contribute to properly design an integrated PSS. Moreover, companies highlighted several benefits in the different stages along the PSS lifecycle deriving by the adoption of the PSSLDM.

The development of a platform based on the PSSLDM methodology raises a discussion on the possible changes needed by current Product Lifecycle Management (PLM) models and systems when they have to do with PSSs.

The PSSLDM enriches the already proposed SErvice Engineering Methodology, introducing new several components linked by lean rules in each of its phases (starting from customer analysis, going through solution concept and detailed design, until the offering analysis) and better supprting the deatil design of both prodcut and service components.

The Product Lifecycle Management (PLM) system has found varieties of deployments in various domains of product-based industries. Current study aims to provide a framework for the adoption of PLM systems in manufacturing organizations to meet the actual requirements of industries.

First, a systematic review of extant literature was performed, and further, the case study approach is opted to study the process of New Product Development (NPD) in a manufacturing organization. Triangulation methodology was adopted wherein the interview results, actual observations, and authorized documentations were used to validate the result and provide conclusions.

A conceptual framework and implementation architecture for PLM is derived. The complete ecosystem for digital footprint is mapped for New Product Development (NPD) activities.

The study could be helpful for Techno-Functional Managers. For individuals with only functional/technical knowledge, additional training might be required to adopt the framework in actual practices.

The paper contributes to the existing literature by providing a framework and demonstrating the feasibility of implementation through the case study.

Owing to the manufacturing trend of stringent product disposal regulations, a new business scenario, which requires an alternative disposal option on consumer products and further product recovery operations, is increasingly important for promoting sustainable supply chain performance. The purpose of this paper is to explore the use to post‐use stage of the product lifecycle, that may have significant potential for increasing product utilisation value and reducing product disposal to landfills.

The paper proposes a re‐classification of the 6R (reduce, recover, redesign, reuse, recycle, remanufacturing) methodology for rectifying waste minimisation along a supply chain, to increase product utilisation at the post‐use stage.

Intensive study of 6R considerations to improve end‐of‐life planning and strategy and extend of product lifecycle management is lacking. None of the existing supply chain frameworks clearly illustrates the aspects of 6R perspectives for the use to post‐use stage.

The main limitation is that this study only focuses on 6R perspective for achieving waste minimisation along a supply chain. There is a need to explore various practical issues of the implementation, including the establishment of specific performance metrics for various manufacturing industries to assess organisational performance.

This proposed sustainable supply chain for collaborative manufacturing may provide a very useful source of what needs to be implemented and achieved to meet the requirements of sustainability, which is the current and future trend of manufacturing.

This paper provides some of the insights into holistic aspects of 6R perspective to increase product utilisation value between use and post‐use stages.