Product lifecycle management application selection framework based on interval-valued spherical fuzzy COPRAS

2021 ◽  
pp. 1-14
Author(s):  
Mete Omerali ◽  
Tolga Kaya

Digitalization is the key trend of the Industry 4.0 revolution. Industrial companies are transforming the way they design and maintain their products and solutions. The user requirements become more demanding. Competition among the manufacturing companies is at its limits and transforms the products to be more complex. Yet, other challenges such as faster time to market, higher quality requirements and legislation force enterprises to provide new ways of design, manufacture and service their end products. Product Lifecycle Management (PLM) is a key solution to track the entire lifespan of the product from idea to design, design to manufacture and manufacture to service. Besides the complexity of products and production, the selection of the right PLM solution which will become the backbone of enterprises is an open problem. In this paper, a thorough literature review is conducted to analyze the most important features for selecting the right PLM solution for manufacturing firms. Moreover, to overcome the challenge of decision makers’ (DM) subjective judgments, a novel interval value spherical fuzzy COPRAS (IVSF-COPRAS) multi-criteria decision making (MCDM) method is introduced. The paper aims to help enterprises rapidly identify the best alternative vendor/solution to be selected based on the need of the organization. In order to show the applicability, DM inputs are collected from a leading defense company where the PLM selection process is ongoing. The industrial case study is provided to demonstrate the success of the proposed selection framework.

Author(s):  
Keh-Wen “Carin” Chuang ◽  
Kuan C. Chen

Product Lifecycle Management (PLM) is the process of managing the entire lifecycle of a product from its conception, through design and manufacture, to service and disposal. One of the toughest aspects of PLM implementations is choosing the appropriate software. In order to choose the right software that meets the business requirements, it is necessary to have a systematic view to serve as an evaluation guideline for advice from an independent third-party and that can guide decision makers through a structured process and understands the entire PLM market. This is an important aspect of the PLM assessment and planning process. This study built a systems model to fulfill the PLM software selection and evaluation needs.


Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 1190-1195 ◽  
Author(s):  
Iman Morshedzadeh ◽  
Jan Oscarsson ◽  
Amos Ng ◽  
Manfred Jeusfeld ◽  
Janne Sillanpaa

Author(s):  
João Carlos Amaro Ferreira

This chapter defines a system and a methodology, the Knowledge Collaborative Product Lifecycle Management (KC-PLM) to better support the complete product lifecycle in the industry. The KC-PLM system intends to reduce the lead-time from new product development to production by providing and integrating knowledge platform, based on a semantic information repository, domain ontology, a domain specific language and on the user collaboration. These characteristics differentiate the KC-PLM system from others PLM systems, because it supports an intelligent rules engine, to extrapolate and make inference with historical solutions that allow the generation of new solutions. A real case study in automobile business shows the current proposal application and its benefits in a product concept phase.


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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ganesh Tanpure ◽  
Vinod Yadav ◽  
Rakesh Jain ◽  
Gunjan Soni

PurposeThe 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.Design/methodology/approachFirst, 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.FindingsA conceptual framework and implementation architecture for PLM is derived. The complete ecosystem for digital footprint is mapped for New Product Development (NPD) activities.Practical implicationsThe 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.Originality/valueThe paper contributes to the existing literature by providing a framework and demonstrating the feasibility of implementation through the case study.


2016 ◽  
Vol 49 (12) ◽  
pp. 485-490 ◽  
Author(s):  
Wenhua Zhu ◽  
Matthieu Bricogne ◽  
Alexandre Durupt ◽  
Sébastien Remy ◽  
Baorui Li ◽  
...  

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