Product Lifecycle in the Pharmaceutical Industry

Author(s):  
Senthil Kumar Ponnusamy ◽  
Yaashikaa Ponnambalam Ragini

The composite of the present pharmaceutical industry requires more effective medication improvement and generation. A product lifecycle (PLC) is the progression of stages from the product's production to the world until its last withdrawal from the market. Product lifecycle comprises various stages that a product must possess in its lifespan, for example, launching, growth, maturity, and decline stage. While each stage brings huge changes, a progression of procedures for the administration of product lifecycle is required. Product lifecycle management (PLM) is a precise, controlled idea for overseeing and creating products and product-related data. Enhanced patient consistency, income development, extended clinical advantages, and faster market dispatch are among the primary utilization of product lifecycle management. To create a viable and productive product lifecycle management program many qualities are viewed like promising start, vital arranging clear authority, supporting information and abilities, readiness for changing tenets of government and associations.

Author(s):  
Vukica Jovanovic

People that work on the development of mechatronic products do not have enough data related to the end of the product lifecycle when making decisions related to the product design. Sustainable design tools in Product Lifecycle Management (PLM) systems could enable more sustainable designs with ‘greener’ decision-making. PLM tools, which are supporting designs of mechatronic products, are lacking more consideration about the product’s overall lifecycle ecological footprint. Most decisions that are made during the design phase are based on costs of materials and processes that are involved in development and manufacturing, not to the service, reuse, recycling and disposal of such products. This study will investigate the possibility of including the data related to the end of the product lifecycle. Integrating green design tools into the PLM systems would help mechatronic engineers to develop more sustainable designs. This paper will investigate the current state of the art in the area of Product Lifecycle Management systems that support design and realization of mechatronic projects. It discusses some ideas that can be used for determining a framework for data capturing of electro-mechanical product related data. This would connect decisions in earlier phases with the ones in final stages of a product lifecycle. This data can be used for the environmental footprint determination.


Author(s):  
Xun Xu

Companies that have been practicing CAD, CAPP, CAM, and CNC integration have now realized that there is a need to operate in a much broader scope with wider boundaries and more functionality. To foster innovation in a product development lifecycle, change in the early stage is good, and, in fact, should be encouraged. The more iteration a product design can experience at this stage when change is inexpensive, the lower cost our final product will become. At a later stage when hardware set-up is committed against a design, change becomes expensive and should be discouraged. Therefore, there is a need for an effective way of managing product-related information as well as the product development action flow, which captures actions that need to be done, have been done, and what other parts are affected. Engineers that subscribe to a portion of a design also need to be working with other collaborators and then automatically be notified when changes occur. This leads to increased implementation of Product Data Management (PDM) and Product Lifecycle Management (PLM). PDM systems are used to control information, files, documents, and work processes required to design, build, support, distribute, and maintain products. Using PDM, people can contribute at the early stages of product design and development. In addition, PDM can be seen as an integration tool connecting many different areas, which ensures that the right information is available to the right person at the right time and in the right form throughout the enterprise. In this way, PDM improves communication and cooperation be tween diverse groups in an organization, and between organizations and clients (Peltonen, Pitkanen & Sulonen, 1996, Liu & Xu, 2001). PDM is strongly rooted in the world of CAD, CAPP, CAM, and CNC in a more specific sense as well as in the world of engineering and design in a more general sense. In recent years, more focus has also been on the improvement of the entire product lifecycles. The major concern here is time-to-market, as it reflects the competitiveness of a company. In response to the new area of focus, new generation PDM systems are developed to support the entire product lifecycle; from the initial concept to the finishing product. This has subsequently led to the birth to PLM systems. From the information context, PLM should cater for the management of the information throughout the lifecycle of a product, including multiple domain views, different business processes scattered across enterprises and different representations of a multitude of native product-, resource- and process-models (Stark, 2004, Rosén, 2006). This chapter starts with introduction to and discussions about product data management systems. Topics covered include PDM’s capabilities, its benefits, Web-based PDM and PDM standardization. The concept of integrated and extended PDM is also introduced. This is followed by discussions on product lifecycle management, for example definitions of PLM, its solution model, benefits, and implementation are among the topics covered. Like PDM, issues regarding PLM standardisation are also addressed. Share-A-space™ is a practical case of PLM. The core features and its architecture are discussed. Toward the end, the concept and some of the techniques of “grand” integration are introduced.


2016 ◽  
Vol 25 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Mohammed Taha Elhariri Essamlali ◽  
Aicha Sekhari ◽  
Abdelaziz Bouras

The trend of smart products is now changing the world and transforming the life of customers. People tend to be more tied to smart, connected products seeking to ease and improve quality of life and find new ways to make things such as daily tasks differently. In this context, the world of clothing has noticed a big advance targeting various applications: sport, gaming, and health monitoring and rehabilitation. Wearable smart products are intelligent hybrid products made of garments, sensor networks, and applications, interacting with users and the environment capable of real-time data processing and storage, with capabilities to extend functionalities by communicating with other things. The multi-functionality property of smart products needs the integration of various electronic parts. High variety of parts with different interfaces makes the development of smart products complex than generic products and requires the involvement and close collaboration of multidisciplinary team (garment designers, sensor networks designers, and application developers). A high number of alternative designs can be considered at the beginning of the design process due to this variety and high availability of parts. The smart product development team needs then to explore multiple candidate solutions before finding the best smart product design that complies with the requirements. This work proposes the set-based concurrent engineering to deal efficiently with the alternatives. Therefore, this article provides a novel approach to shift from set-based concurrent engineering theoretical principles toward a pragmatic (practical) application to wearable smart products taking advantage of product lifecycle management system capabilities for the implementation. The use of product lifecycle management system to support the set-based concurrent engineering process will contribute for a better understanding of the approach avoiding confusions, simplify the architecture of the solution in view of integration with other systems, and enable the stakeholders to focus on the level of innovation of the smart product.


Author(s):  
Karan Menon ◽  
Hannu Kärkkäinen ◽  
Thorsten Wuest ◽  
Jayesh Prakash Gupta

Industrial Internet platforms have the ability to access, manage and control product-related data, information and knowledge across all the lifecycle phases (beginning of life, middle of life and end of life). Traditional product lifecycle management/product data management software have many limitations when it comes to solving product lifecycle management challenges, like interoperability for instance. Industrial Internet platforms can provide real-time management of data and information along all the phases of a product’s lifecycle. Platform openness in combination with the above-mentioned industrial internet platform characteristics helps solve the product lifecycle management challenges. This article describes the product lifecycle management challenges in detail from the existing literature and presents solutions using industrial internet platform openness and related dimensions as well as sub-dimensions. A wide pool of platforms is narrowed down to specific platforms that can solve the documented product lifecycle management challenges and allow the manufacturing companies to collaborate as well as enhance their business. We also present in detail managerial implications toward long-term and sustainable selection of industrial internet platform.


Computers ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 84
Author(s):  
Andreas Deuter ◽  
Sebastian Imort

Product lifecycle management (PLM) as a holistic process encompasses the idea generation for a product, its conception, and its production, as well as its operating phase. Numerous tools and data models are used throughout this process. In recent years, industry and academia have developed integration concepts to realize efficient PLM across all domains and phases. However, the solutions available in practice need specific interfaces and tend to be vendor dependent. The Asset Administration Shell (AAS) aims to be a standardized digital representation of an asset (e.g., a product). In accordance with its objective, it has the potential to integrate all data generated during the PLM process into one data model and to provide a universally valid interface for all PLM phases. However, to date, there is no holistic concept that demonstrates this potential. The goal of this research work is to develop and validate such an AAS-based concept. This article demonstrates the application of the AAS in an order-controlled production process, including the semi-automatic generation of PLM-related AAS data. Furthermore, it discusses the potential of the AAS as a standard interface providing a smooth data integration throughout the PLM process.


2021 ◽  
Vol 11 (13) ◽  
pp. 5975
Author(s):  
Ana María Camacho ◽  
Eva María Rubio

The Special Issue of the Manufacturing Engineering Society 2020 (SIMES-2020) has been launched as a joint issue of the journals “Materials” and “Applied Sciences”. The 14 contributions published in this Special Issue of Applied Sciences present cutting-edge advances in the field of Manufacturing Engineering focusing on advances and innovations in manufacturing processes; additive manufacturing and 3D printing; manufacturing of new materials; Product Lifecycle Management (PLM) technologies; robotics, mechatronics and manufacturing automation; Industry 4.0; design, modeling and simulation in manufacturing engineering; manufacturing engineering and society; and production planning. Among them, the topic “Manufacturing engineering and society” collected the highest number of contributions (representing 22%), followed by the topics “Product Lifecycle Management (PLM) technologies”, “Industry 4.0”, and “Design, modeling and simulation in manufacturing engineering” (each at 14%). The rest of the topics represent the remaining 35% of the contributions.


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