Product Life Cycle Research Articles

Managing Growth of Product Lifecycle at Maturity Level: A Systematic Literature Review

Through the synthesis and analysis of 64 papers, from JSTOR, ScienceDirect, and Google Scholar data bases, include 2010-2024 of 15 years duration paper works. this systematic literature review identified major themes and provided insights into growth management strategies, marketing tactics, challenges, and opportunities, benefits, that managers confront in their quest to sustain competitiveness and profitability in mature markets. Product diversification, market segmentation, innovation management, cost-effective lifecycle planning, price strategies, market expansion, client retention, alliances, and collaboration are a few examples of important tactics. The difficulties include growing rivalry, market saturation, shrinking profit margins, and shifting consumer tastes. To maintain competition, there are nevertheless still chances to take advantage of economies of scale, brand equity, and customer loyalty. The review's insights deepen our understanding of how businesses may best manage opportunities and overcome obstacles to maximize product lifecycle management at various stages of maturity. By providing a comprehensive understanding of the existing body of knowledge, this review offers valuable insights for practitioners, managers, and researchers aiming to enhance product lifecycle management (PLM) strategies at the maturity level, ultimately contributing to the development of more resilient and adaptive business models and research gaps have identified that enabled to provide future research directions.

Addressing Circularity Strategies by Reconfiguring Smart Products during Their Lifecycle

Considering circularity aspects during the engineering of smart products implies a significantly increased complexity of engineering processes. Especially technical reconfiguration of smart products, offered as services in availability-oriented business models, enables the integration of circular economy aspects in sustainable products and lifecycles, through realizing several aspects of the 9R strategies. This paper introduces an analysis of interdependencies between 9R strategies potential reconfiguration options, technical characteristics of smart products, different maturity levels of smart product and abilities for circularity. Partial engineering models managed in different product lifecycle management systems provide a technical basis for systematization and evaluation of circular abilities of reconfigurable smart products in different lifecycle phases. The approach aims to improve circularity-related decision making in systems engineering processes in the early development phases and during the reconfiguration of smart products during utilization phase. An industrial use case considering a microelectronic-centered smart product used in e-mobility solutions validates the approach.

Life-cycle production optimization with nonlinear constraints using a least-squares support-vector regression proxy

When nonlinear constraints such as field liquid or water production rate, injection pressures, etc., as functions of time need to be honored in addition to linear ones, the life-cycle production optimization problem, a component of a closed loop reservoir management, becomes challenging and computationally expensive to perform using a high-fidelity reservoir simulator with the existing gradient-based methods using the adjoint or stochastic approximate gradient methods. Therefore, the objective of this study is to present computationally efficient methods for deterministic production optimization under nonlinear constraints using a kernel-based machine learning method where the cost function is the net present value (NPV). We use the least-squares support-vector regression (LSSVR) to approximate the NPV function. To achieve computational efficiency, we generate a set of output values of the NPV and nonlinear constraint functions, which are field liquid production rate (FLPR) and water production rate (FWPR) in this study, by running the high-fidelity simulator for a broad set of input design variables (well controls) and then using the collection of input/output data to train LSSVR proxy models to replace the high-fidelity simulator to compute NPV and nonlinear state constraint functions during iterations of sequential quadratic programming (SQP). To obtain improved (higher) estimated optimal NPV values, we use the existing so-called iterative sampling refinement (ISR) method to update the LSSVR proxy so that the updated proxy remains predictive toward promising regions of search space during the optimization. Direct and indirect ways of constructing LSSVR-based NPVs as well as different combinations of input data, including nonlinear state constraints and/or the bottomhole pressures (BHPs) and water injection rates, are tested as alternative feature spaces. The results obtained from our proposed LSSVR-based optimization methods are compared with those obtained from our in-house stochastic simplex approximate gradient (StoSAG)-based line-search SQP programming (LS-SQP-StoSAG) algorithm that uses directly a high-fidelity simulator to compute the gradients of the objective function and the nonlinear state functions with StoSAG for the Brugge reservoir model. The results show that nonlinear constrained optimization with the LSSVR ISR with SQP is computationally 3.25 fold more efficient than LS-SQP-StoSAG. In addition, the results show that constructing NPV indirectly using the field liquid and water rates for a waterflooding problem where inputs come from LSSVR proxies of the nonlinear state constraints requires significantly fewer training samples than the method constructing NPV directly from the NPVs computed from a high-fidelity simulator. LSSVR has advantages for its computational efficiency which is the main goal in our research, and robustness against overfitting especially for the cases where we have limited data. However, DNNs and random forest require large training size and require much more computational resources and longer training times. Also, Random Forests and Gradient Boosting Machines can be prone to overfitting and become computationally intensive.

Social life cycle assessment in current and future Norwegian livestock production

Abstract Purpose This study is a social life cycle assessment (S-LCA) of per capita consumption of animal protein in Norway in 2019. The animal protein consisted of milk, beef, pork, poultry and egg. Based on the 2019 results, two scenarios, TrendProd and ChangeProd, were qualitatively assessed. The TrendProd scenario is a continuation of the current trend towards highly efficient livestock production, whilst ChangeProd focuses on using livestock feed based on bioresources that are unsuitable for human consumption. Methods The assessment of current livestock production followed the updated version of the social LCA guidelines by UNEP (2020). A survey amongst stakeholders was conducted for the selection of subcategories. The product system was divided into the following steps: imported feed, domestic off-farm feed, livestock production, manufacturing, distribution and use. A total of 25 subcategories across six stakeholder groups (i.e. workers, local community, society, value chain actors, consumers and children) were included in the assessment. A reference scale approach was used with a scale from 1 to 4. The assessment included quantitative and qualitative data from statistics, indices, surveys, etc. The social performance of the scenarios was assessed by the authors’ expert evaluation using the Delphi approach, comparing performance of indicators relative to the current production. Results and discussion The life cycle for the current Norwegian livestock production had an acceptable or high social performance for 17 of the selected subcategories. Five subcategories had a low performance (fair salary, equal opportunities, animal welfare, food security, promoting social responsibility) and three had a very low performance (health and safety, cultural heritage, fair competition). The assessment of the scenarios indicated that anticipated improvements in skills and technology were key drivers for maintaining or enhancing social performance in certain subcategories. The use of activity variables for measuring the relative importance of each unit process is recommended as it reflects actual distribution and is consistent with the method of environmental LCA. Conclusions Overall, the social life cycle assessment of current livestock production demonstrated high social performance. A stakeholders’ survey resulted in a new subcategory, ‘food security’, which served to include societal concern for self-sufficiency and food security in social LCA. Limitations and uncertainties of the study have also been identified, some relating to data and choice of indicators and others to the application of method, e.g. activity variables, development of reference scale and aggregation of results.

Greenhouse gas emissions and carbon and water footprints during processing of Lei bamboo shoots

Lei bamboo shoots are extensively used in the food processing industry, producing solid waste such as bamboo shoot shells and liquid wastewater. This study analyzed several sewage indicators, revealing that the majority exceed the national standards of China for direct water discharge. A field experiment was conducted over a period of 4 months to evaluate the effects of different treatments during the natural decomposition of bamboo shoot shells.The treatment groups consisted of the boiled experimental group (EG) and the control group (CG). Results showed that in EG, the methane emission increased by 8.6% (P < 0.05), the carbon dioxide emission increased significantly by 19.7% (P < 0.01), and the nitrous oxide emission decreased by 37.9% (P < 0.01) relative to those in CG. Regression analysis was employed to establish a relationship model between CH4, CO2, and N2O emission fluxes and temperature and humidity in the EG and CG groups. A specific functional relationship was identified between CH4 and CO2 emission fluxes and temperature and humidity, but N2O emission was present. No significant correlation was found between flux and ambient temperature and humidity (R2 < 0.3). We also estimated that the carbon dioxide emissions and water consumption of producing 1 kg of canned bamboo shoots were 2.8669 kg and 86.8 L, covering the processes in the life cycle of bamboo shoot products. This study identifies the potential water pollution problems and provides insights into resource utilization and recycling in bamboo shoot food processing, facilitating the realization of clean production processes. It also sheds light on the water footprint of bamboo shoot products throughout their life cycle, and the carbon footprint research provides valuable references.

Combining improved DFMEA with knowledge graph for component risk analysis of complex products

With the development of information technology in manufacturing, product lifecycle iteration is accelerating. Efficiently analyzing and identifying component risks is important to ensure the reliability of products. This paper proposes a new method that combines improved design failure mode and effect analysis (DFMEA) with the knowledge graph for component risk analysis of complex products. A risk evaluation knowledge graph is built for the risk identification and knowledge provision in the process of DFMEA. Graph analysis is used to identify to-be-evaluated objectives based on historical maintenance data, which helps designers avoid the heavy task of identification. The graph matrix of the historical evaluations is used to calculate the comprehensive weights. A Dempster-Shafer (DS) evidence fusion method based on comprehensive weight evaluation information is proposed for the effective fusion of evaluation evidence. As an alternative to the exact risk ranking, we offer a risk trade-off VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) method for components classification that classifies components into different risk classes for different risk treatment measures. Finally, the proposed method is validated using a tunnel boring machine as an example, and comparison and sensitivity analyses are performed to demonstrate that the risk value shows a consistent and stable change with expert evaluation.

A Pareto-optimality based black widow spider algorithm for energy efficient flexible job shop scheduling problem considering new job insertion

The utilization of flexible job shops is on the rise, driven by the decreasing life cycle of consumer products. In dynamic flexible job shops, the occurrence of disruptive events like machine breakdown, tool wear, and new job arrivals is common, emphasizing the critical need for efficient scheduling to achieve productivity and cost-effectiveness. Additionally with the growing concerns about energy consumption and global warming, the imperative to contemplate workshops with lower energy usage is becoming increasingly significant. Therefore, in this study a multi-objective dynamic flexible job shop scheduling problem (MODFJSP) with insertion of new jobs for optimization objectives: makespan, total energy consumption and schedule instability is addressed. A novel multi-objective black widow spider algorithm (MOBWSA), inspired by the mating behavior of black widow spiders, is proposed. The MOBWSA ensures an optimal balance between minimizing makespan and energy consumption through its superior evolutionary processes of procreation, mutation and cannibalism. Furthermore, a strategic on/off strategy is implemented to enhance energy efficiency. The disruptions in schedule at rescheduling stage are addressed through the proposed sigmoidal weighted instability function. To handle the multi-objective nature of the problem this work incorporates Pareto-optimality approach in combination with novel hybrid crowding distance metric. The optimization is further aided by exploitation of search space through an ensemble of local search operators. Testing and evaluation of the MOBWSA with 30 benchmark problems is conducted, and its performance for multiple metrics is compared with recently published state-of-the-art algorithms. The results establish the effectiveness and efficiency of the proposed algorithm.

A dynamic surge pricing model throughout product lifecycle

The shorter lifecycle and faster upgrading of the product make the potential demand change rapidly, thereby pricing based on market changes is critical to increasing profits. In response to changes in the potential demand, we present a dynamic surge pricing model that characterizes sales trajectories and gradient pricing. We introduce the Lotka–Volterra system to construct the sale-forecast system and prove its effectiveness in predicting the product lifecycle curve that reflects the change of the potential demand. In contrast to the linear demand function, we propose a gradient pricing mechanism based on marginal sales and total sales to describe the relationship between price and potential demand throughout the life cycle. Particularly, the dynamic surge pricing model degrades to Cournot model in the maturity phase of the market. We characterize the dynamic equilibrium and conduct the sensitivity analysis of parameters, showing that the dynamic surge pricing model outperforms Cournot model in terms of profit. A numerical example illustrates that the profit of the dynamic surge pricing model is nearly 21.82% higher than that of Cournot model.

Spatially and temporally differentiated characterization factors for supply risk of abiotic resources in life cycle assessment

Life cycle assessment, a comprehensive tool to evaluate environmental impacts across a product's life cycle, traditionally focuses on "inside-out" impacts caused by the product on the environment, emphasizing resource use, global warming, and other environmental impacts. In contrast, the "outside-in" perspective considers resource availability and accessibility to industry. This second perspective was developed as a way to integrate raw material criticality assessment into LCA. The GeoPolRisk method assesses the supply risk based on global production concentration, import shares, political stability scores, and the average price of the commodity. This article introduces a characterization model for the GeoPolRisk method and calculates the Geopolitical Supply Risk Potential of using 46 raw materials across different countries in multiple years. The characterization factors show the highest values for precious metals, like platinum group metals (PGMs), reflecting their high market prices and concentrated production in geopolitically unstable regions. The results emphasize the significance of spatial and temporal variations in characterization factors, providing a nuanced assessment of supply risk of raw materials associated with the product system. Despite data limitations, the characterization factors offer a good estimate of the supply risk of raw materials available for use in product systems. A case study on photovoltaic laminate production highlights gallium, copper, and tin as significant contributors to supply risk. From an "outside-in" perspective, the case study demonstrates how the GeoPolRisk method complements traditional environmental indicators such as global warming, making it a valuable tool for assessing mineral resource supply risk in Life Cycle Assessment.

Extending Product Lifecycles—An Initial Model with New and Emerging Existential Design Aspects Required for Long and Extendable Lifecycles

This paper introduces an evaluated initial model for how product lifecycles can be extended considering new and emerging existential design aspects concerning both general as well as digital/connected products. The initial model, which is cyclic, includes reverse logistics of components and raw materials, as well as information on how to manage data at the end of lifecycles. The aim is to improve long-term sustainability with a high degree of circularity while also achieving increased profitability and competitiveness. Further, we highlighted that product providers must start to evaluate and prepare for how to improve product durability, manage long and extendable lifespans, and achieve circularity with reverse logistics to close the loops. Additionally, updatability and upgradability are also required to stay current with time and create value while being cybersecure. Otherwise, customers’ expectations, various legal and regulatory aspects, as well as other existential design aspects can halt or even terminate a product’s lifecycle.

A systematic approach to the quality assessment of printed products

Quality standards for the technological processes of the production of finished products are used in all countries of the world. Consumers of printing and packaging products are increasingly demanding ISO 9001 quality system certificates from manufacturing companies. It should be noted that international and national standards use different approaches to the standardization of processes and products, and the content of project management. To meet the demands of consumers, which are constantly increasing, quality management should be carried out based on a set of scientifically based principles, which can be divided into system-wide and special. The problem is relevant for modern Ukrainian enterprises, where, on the one hand, they need serious changes in the organizational structure, corporate culture, style and methods of project management; and on the other hand, compliance with the ratio of responsibility for quality between the management system and performers. Evaluation of the quality of printed products at the current stage requires the application of the principles of a systematic approach, based on the principles of which it is possible to build a coherent, logically completed methodological system of quality indicators of a specific type of product. This will also make it possible to justify the problem of choosing certain methods and will give a normative and regulatory character to those indicators that are not reflected in the standards but are important for the practical use of products. To create one or another model of the system, it is first necessary to carry out its verbal and informational description and tuple recording. The components of a verbal informational description usually reflect a description of the external environment, and the system’s connections with it; identification of the relationship between factors, characteristics of the variability of factors; elementary composition of the system, and its parts; description of connections between elements of the system and subsystems; operation of the system, i.e. description of the process of functioning and development of the system. The tuple record of the system model of the quality assessment takes into account the classification characteristics of products, the set of “inputs” and “outputs” of the system; а set of variable parameters and processes. The goals of quality management at each stage of the technological process for each specific type of printed product can be individual. To cover the management of all stages of the life cycle of media or packaging products within the subsystems of the quality system, it is necessary to perform a full set of special (specific) quality management functions. The matrix method or elements of the ISO 9000 series system can be used to form these functions.

SCALE INHIBITOR SQUEEZE TREATMENT: AN ADVANCED BIBLIOMETRIC ANALYSIS

The scale inhibitor squeeze treatment is an important method used in the petroleum industry to control formation of inorganic deposition within the oil production wells. This treatment increases the life cycle of petroleum production by preventing or reducing the formation and growth of salt crystals. In recent years, studies on inhibitor squeeze treatments have been expanding and diversifying with the goal of improving the lifespan and reducing treatment costs. This study reports an advanced bibliometric analysis from 1970 to 2023, illustrating the extent of research on inhibitor squeeze treatments to prevent the formation of inorganic scale, with a systematic survey since the first registered publication. It highlights the evolution of research reports, assessing the relationships between institutions, journals, and authors, identifying of potential needs to be addressed by future investigations.

Device regulation and surveillance in vascular care: Challenges and opportunities.

Cardiovascular devices are essential for the treatment of cardiovascular diseases including cerebrovascular, coronary, valvular, congenital, peripheral vascular and arrhythmic diseases. The regulation and surveillance of vascular devices in real-world practice, however, presents challenges during each individual product's life cycle. Four examples illustrate recent challenges and questions regarding safety, appropriate use and efficacy arising from FDA approved devices used in real-world practice. We outline potential pathways wherein providers, regulators and payors could potentially provide high-quality cardiovascular care, identify safety signals, ensure equitable device access, and study potential issues with devices in real-world practice.

Marketing mix analysis of JOSS organic rice based on consumer acceptance

Abstract The Special Region of Yogyakarta has the potential to develop organic rice, both from organic rice production and the organic rice market. JOSS Organic Rice is a superior organic rice product in the Special Region of Yogyakarta because it is a pilot project in the Kulon Progo Regency Government program. This research aims to analyze consumer preferences and marketing strategies based on the marketing mix for JOSS (Jatisarono Organik Sehat Sejahtera) Organic Rice market in Yogyakarta. Consumer preferences refer to people or groups’ personal likes, desires, and tendencies when they choose between various goods, services, or experiences. Marketing mix consists of four attributes, there are attributes product, price, place and promotion. Marketing mix analysis is carried out using descriptive analysis, using a combination of primary and secondary data analysis methods to identify factors that influence the analysis of each variable in the marketing mix. Primary data was obtained through direct surveys of consumers, while secondary data was obtained from previous research, regional statistical data and company data. The result of research shows that consumer preferences for JOSS organic rice are still dominant in product attributes and affordable price attributes. Based on marketing mix analysis, it shows that organic rice consumers in the DIY region prefer product attributes that have a bright white bright white color with total 36 consumers (76.6%) and rice which has a high level of rice integrity with total 44 consumers (93.6%). Place attributes of rice are easy to get in shops and supermarkets. Affordable price attributes and many price choices according to packaging weight. Organic rice is placed at the introductory stage in the product life cycle. It is hoped that the results of this research will provide important insights for JOSS Organic Rice producers and other organic rice business actors to pay more attention to the current condition of their products so they can implement more effective and sustainable marketing strategies to support growth. organic rice industry in the Special Region of Yogyakarta.

Application of Model‐Based Systems Engineering Within the Automotive Industry —‐ a Current State

AbstractModel‐Based Systems Engineering (MBSE) has been utilized within the automotive industry for several years. Increasing complexity due to highly automated, connected vehicles demands methods of coping with this complexity. In most cases, currently, only specific partial aspects or single methods of MBSE are used, which even varies across different companies. This paper aims to examine the current implementation of MBSE based on samples collected from companies acting within the automotive industry. Various aspects are explored, including the scope of application throughout the product life cycle, the use of simulation methods and the collaboration with other disciplines within product development. In the end, an evaluation discusses the reasons for the current state, and recommendations are given.

Implementation of a Technical Peer Review Process: Principles, Policy, and Cultural Change

AbstractThe complex scientific and engineering work performed at Sandia National Laboratories is supported by a comprehensive system of reviews that include design, gate, and peer reviews. A recent exercise revealed a need to change how technical peer reviews are conducted. Building on industry standards, best practices, current standard internal practices and other previous work, Sandia has developed a continuous improvement process to institutionalize technical peer review in the design lifecycle of products. The approach focuses on translating customer and leadership expectations, utilizing current established practices, simplifying planning and execution, and providing resources to project teams to guide them and ensure that rigorous and consistent technical peer reviews are performed. This paper presents the process used by Sandia to improve the technical peer review process, the factors that affect implementation of a peer review process, the simplified three‐step process implemented, the tools and resources generated, and the sustainment plan adopted to increase the institution‐wide use of peer review as a tool to improve product delivery.

Fluid-structure interaction simulation of mechanical aortic valves: a narrative review exploring its role in total product life cycle.

Over the last years computer modelling and simulation has emerged as an effective tool to support the total product life cycle of cardiovascular devices, particularly in the device preclinical evaluation and post-market assessment. Computational modelling is particularly relevant for heart valve prostheses, which require an extensive assessment of their hydrodynamic performance and of risks of hemolysis and thromboembolic complications associated with mechanically-induced blood damage. These biomechanical aspects are typically evaluated through a fluid-structure interaction (FSI) approach, which enables valve fluid dynamics evaluation accounting for leaflets movement. In this context, the present narrative review focuses on the computational modelling of bileaflet mechanical aortic valves through FSI approach, aiming to foster and guide the use of simulations in device total product life cycle. The state of the art of FSI simulation of heart valve prostheses is reviewed to highlight the variety of modelling strategies adopted in the literature. Furthermore, the integration of FSI simulations in the total product life cycle of bileaflet aortic valves is discussed, with particular emphasis on the role of simulations in complementing and potentially replacing the experimental tests suggested by international standards. Simulations credibility assessment is also discussed in the light of recently published guidelines, thus paving the way for a broader inclusion of in silico evidence in regulatory submissions. The present narrative review highlights that FSI simulations can be successfully framed within the total product life cycle of bileaflet mechanical aortic valves, emphasizing that credible in silico models evaluating the performance of implantable devices can (at least) partially replace preclinical in vitro experimentation and support post-market biomechanical evaluation, leading to a reduction in both time and cost required for device development.

Model‐Based Systems Engineering (MBSE) Application in Nuclear Power Plants (NPP)

AbstractCompanies in the nuclear power sector are constantly being challenged to improve their safety and reliability due to increasing complexity arise from evolving safety regulations, long production life, interdisciplinary collaboration, and the need for analyzing the impact of the changes in an operational life cycle. Recognizing these challenges, the paper proposes a transition to Model‐Based Systems Engineering (MBSE) as a transformative solution to improve the management of such complex systems. With this objective, this paper presents a workflow implementation that demonstrates the MBSE methodologies to define a concept model, system architecture, impact analysis, safety and reliability analysis, and operational decision‐making of Nuclear Power Plants (NPP). The paper concludes that MBSE provides a potent approach to managing NPP by employing graphical models to develop interrelated systems that has strong adaptability to heterogeneous environments and regulatory changes. The simulation results demonstrated an NPP life cycle, impact analysis, and a test case for model‐based safety and reliability analysis for regulatory compliance, operational efficiency, balance safety, and informed decision‐making in NPP. The study also leads to a number of interesting directions of future work such as synchronization through Product Lifecycle Management, integration with Building Information Modeling, Model‐Based Commissioning/Decommissioning, and Model‐Based Cyber System Security tailored for nuclear power systems.

Leveraging Combinatorial Coverage in the Machine Learning Product Lifecycle

Leveraging Combinatorial Coverage in the Machine Learning Product Lifecycle

Enabling Digital Engineering with Federated PLM – Experiences from the Heliple‐2 Project

AbstractImplementing a digital engineering infrastructure is a strategic endeavour for any organisation. In this paper an investigation in the feasibility of federated Product Lifecycle Management is presented, starting from a presentation of the guiding architecture pattern and an evaluation of implementation alternatives. Interoperability standards from Open Services for Lifecycle Collaboration (OSLC) are introduced along with presentation of tool infrastructure for automatic generation of OSLC interfaces. Implementation experience validates that this is a viable and attractive alternative for implementing digital engineering.