Product relationships management enabler for concurrent engineering and product lifecycle management

The current competitive industrial context requires more flexible, intelligent and compact product lifecycles, especially in the product development process where several lifecycle issues have to be considered, so as to deliver lifecycle oriented products. This paper describes the application of a novel product relationships management approach, in the context of product lifecycle management (PLM), enabling concurrent product design and assembly sequence planning. Previous work has provided a foundation through a theoretical framework, enhanced by the paradigm of product relational design and management. This statement therefore highlights the concurrent and proactive aspect of assembly oriented design vision. Central to this approach is the establishment and implementation of a complex and multiple viewpoints of product development addressing various stakeholders design and assembly planning points of view. By establishing such comprehensive relationships and identifying related relationships among several lifecycle phases, it is then possible to undertake the product design and assembly phases concurrently. Specifically, the proposed work and its application enable the management of product relationship information at the interface of product-process data management techniques. Based on the theory, models and techniques such as described in previous work, the implementation of a new hub application called PEGASUS is then described. Also based on web service technology, PEGASUS can be considered as a mediator application and/or an enabler for PLM that externalises product relationships and enables the control of information flow with internal regulation procedures. The feasibility of the approach is justified and the associated benefits are reported with a mechanical assembly as a case study.     

How to guarantee compliance between workflows and product lifecycles?

Product lifecycle management (PLM) systems are widely used in the manufacturing industry. A core feature of such systems is to provide support for versioning of product data. As workflow functionality is increasingly used in PLM systems, the possibility emerges that the versioning transitions for product objects as encapsulated in process models do not comply with the valid version control policies mandated in the objects’ actual lifecycles. In this paper we propose a solution to tackle the (non-)compliance issues between processes and object version control policies. We formally define the notion of compliance between these two artifacts in product lifecycle management and then develop a compliance checking method which employs a well-established workflow analysis technique. This forms the basis of a tool which offers automated support to the proposed approach. By applying the approach to a collection of real-life specifications in a main PLM system, we demonstrate the practical applicability of our solution to the field.     

A spatiotemporal information management framework for product design and assembly process planning reconciliation

This paper introduces an innovative framework for product design and assembly process planning reconciliation. Nowadays, both product lifecycle phases are quasi concurrently performed in industry and this configuration has led to competitive gains in efficiency and flexibility by improving designers’ awareness and product quality. Despite these efforts, some limitations/barriers are still encountered regarding the lack of dynamical representation, information consistency and information flow continuity. It is due to the inherent nature of the information created and managed in both phases and the lack of interoperability between the related information systems. Product design and assembly process planning phases actually generate heterogeneous information, since the first one describes all information related to “what to be delivered” and the latter rationalises all information with regards to “how to be assembled”. In other words, the integration of assembly planning issue in product design requires reconciliation means with appropriate relationships of the architectural product definition in space with its assembly sequence in terms of time. Therefore, the main objective is to provide a spatiotemporal information management framework based on a strong semantic and logical foundation in product lifecycle management (PLM) systems, increasing therefore actors’ awareness, flexibility and efficiency with a better abstraction of the physical reality and appropriate information management procedures. A case study is presented to illustrate the relevance of the proposed framework and its hub-based implementation within PLM systems.     

Closed-loop PLM for intelligent products in the era of the Internet of things

With the advent of the information and related emerging technologies, such as RFID, small size sensors and sensor networks or, more generally, product embedded information devices (PEID), a new generation of products called smart or intelligent products is available in the market.Although various definitions of intelligent products have been proposed, we introduce a new definition of the notion of Intelligent Product inspired by what happens in nature with us as human beings and the way we develop intelligence and knowledge. We see an intelligent product as a product system which contains sensing, memory, data processing, reasoning and communication capabilities at four intelligence levels. This future generations of Intelligent Products will need new Product Data Technologies allowing the seamless interoperability of systems and exchange of not only Static but of Dynamic Product Data as well. Actual standards for PDT cover only lowest intelligence of today’s products. In this context, we try to shape the actual state and a possible future of the Product Data Technologies from a Closed-Loop Product Lifecycle Management (C-L PLM) perspective.Our approach is founded in recent findings of the FP6 IP 507100 project PROMISE and follow-up research work. Standards of the STEP family, covering the product lifecycle to a certain extend (PLCS) as well as MIMOSA and ISO 15926 are discussed together with more recent technologies for the management of ID and sensor data such as EPCglobal, OGC-SWE and relevant PROMISE propositions for standards.Finally, the first efforts towards ontology based semantic standards for product lifecycle management and associated knowledge management and sharing are presented and discussed.     

Ontology-based data integration and decision support for product e-Design

Currently, computer-based support tools are widely used to facilitate the design process and have the potential to reduce design time, decrease product cost and enhance product quality. Although there are promising information systems to manage product lifecycle and product-related data, including product data management (PDM) and product lifecycle management (PLM), significant limitations still exist, where information required to make decisions may not be available, may be lacking consistency, and may not be expressed in a general way for sharing between systems. Moreover, there remains little support for decision making that considers multiple complex technical and economical criteria, relations, and objectives in product design. To address these problems, this paper presents a framework for an ontology-based data integration and decision support environment for e-Design. The framework can guide designers in the design process, can make recommendations, and can provide decision support for parameter adjustments.     

产品全生命周期管理平台的集成产品开发流程实现研究

在研究集成产品开发框架的流程元素和集成产品信息模型的基础上,运用产品全生命周期管理(PLM)相关技术,提出基于PLM平台的集成产品开发流程实现模式,并通过某大型企业的实例应用验证该模式的可行性。     

Reference ontologies to support the development of global production network systems

In competitive and time sensitive market places, organisations are tasked with providing product lifecycle management (PLM) approaches to achieve and maintain competitive advantage, react to change and understand the balance of possible options when making decisions on complex multi-faceted problems, global production networks (GPN) is one such domain in which this applies. When designing and configuring GPN to develop, manufacture and deliver product–service provision, information requirements that affect decision making become more complex. The application of reference ontologies to a domain and its related information requirements can enhance and accelerate the development of new product-service systems with a view towards the seamless interchange of information or interoperability between systems and domains.This paper presents (i) preliminary results for the capture and modelling of end-user information, (ii) an initial higher level reference core ontology for the development of reference ontologies and (iii) the formal logical modelling of Level 1 of the FLEXINET reference ontology using a Common Logic based approach.     

A methodology for supporting requirement management tools (RMt) design in the PLM scenario: An user-based strategy

In the current “mass customization” scenario, product complexity is increasing significantly due to the necessity to answer as quickly and effectively as possible to many different costumer needs but maintaining costs under control. In this scenario, requirements management becomes a fundamental features for the entire product lifecycle, as enterprises need to have a complete and clear idea of the market for succeeding in developing and supporting the right and innovative product. Moreover, considering that product lifecycle is characterized by many “trade-off”, so that product features are often negotiated in order to fulfil to conflicting requirements, it is important to support the “traceability” of the entire lifecycle “negotiation” process. For this reason, PLM platform has to provide suitable methodologies and tools able to efficiently support the design and management of large set of complex requirements. Requirements Management Tools (RMt) embedded in PLM solutions help keeping specifications consistent, up-to-date, and accessible. At present, there are different possible solutions, but a shared PLM integrated seems not to be available. In order to fill this gap, this paper has developed an user-based strategy, based on Kano methodology, so on “user satisfaction”, in order to define a structured set of guidelines to support the design of the features of an integrated PLM requirement management tool.     

网络环境下智能产品闭环全生命周期管理系统

为了实现产品的使用、维护乃至生命结束信息的高效管理和充分利用,在简要介绍闭环产品全生命周期管理(Closed-Loop Product Lifecycle Management, C-L PLM)概念、架构的基础上,以低温等离子体设备系统为具体应用示例,总结出了产品全生命周期信息流动模型。设计并实现了智能产品C-L PLM软件。最后,给出一个应用实例,显示探针测量仪设备运行时关键组件状态信息。     

An industry approach to shared, cross-organisational engineering change handling - The road towards standards for product data processing

Standards for cross-enterprise communication between systems that actively manage product data and which control the associated workflows–including release and approval processes–have been in industrial use for some time. Experiences gained during the last decade showed that purely data centric approaches, such as supported by IGES, ISO 10303 (STEP) and IFC are not sufficient. Cross-enterprise communication requires not only agreements about data format and semantics, but also about orderly procedures for efficient communication between the stakeholders in a workflow.This paper presents the background and approach taken for the development of a standard for cross-company engineering change management (ECM), which is currently undertaken as a joint activity between VDA (German Association of the Automotive Industry) and ProSTEP iViP (international association for information integration in industry). Based on the results of this joint activity, which was recently published as SASIG ECM Recommendation V2.0 and as VDA 4965 V3.0, ECM Pilot implementations within member companies were conducted. They proved that a lead-time reduction of the engineering change process of 20%–40% is possible while the quality of the process increases. The approach itself should work not only in engineering change or product data environments, but also in document oriented environments as well as in sectors other than automotive.The ECM standard provides specifications of reference business processes, including the definition of the participants’ roles and the interaction and synchronization (“touch”) points where data are communicated. It leverages and builds on other established product data standards wherever possible. Thus, the data model defined by STEP AP214, (Core Data for automotive mechanical design processes) is used to describe the “payload”–i.e. the product data content to be exchanged–at defined synchronization points. OMG’s PLM Services provide the framework for sending messages between the stakeholders of an Engineering Change, and business process modelling languages such as e.g. BPEL (Business Process Execution Language), standardized by OASIS, provide the capability to execute the ECM protocol’s specification. They ensure the ability to use the latest state-of-the-art internet technologies such as XML and web-services.     

Industrial blockchain based framework for product lifecycle management in industry 4.0

Product lifecycle management (PLM) aims to seamlessly manage all products and information and knowledge generated throughout the product lifecycle for achieving business competitiveness. Conventionally, PLM is implemented based on standalone and centralized systems provided by software vendors. The information of PLM is hardly to be integrated and shared among the cooperating parties. It is difficult to meet the requirements of the openness, interoperability and decentralization of the Industry 4.0 era. To address these challenges, this paper proposed an industrial blockchain-based PLM framework to facilitate the data exchange and service sharing in the product lifecycle. Firstly, we proposed the concept of industrial blockchain as the use of blockchain technology in the industry with the integration of IoT, M2M, and efficient consensus algorithms. It provided an open but secured information storage and exchange platform for the multiple stakeholders to achieve the openness, interoperability and decentralization in era of industry 4.0. Secondly, we proposed and developed customized blockchain information service to fulfill the connection between a single node with the blockchain network. As a middleware, it can not only process the multi-source and heterogeneous data from varied stages in the product lifecycle, but also broadcast the processed data to the blockchain network. Moreover, smart contract is used to automate the alert services in the product lifecycles. Finally, we illustrated the blockchain-based application between the cooperating partners in four emerging product lifecycle stages, including co-design and co-creation, quick and accurate tracking and tracing, proactive maintenance, and regulated recycling. A simulation experiment demonstrated the effectiveness and efficiency of the proposed framework. The results showed that the proposed framework is scalable and efficient, and hence it is feasible to be adopted in industry. With the successful development of the proposed platform, it is promising to provide an effective PLM for improving interoperability and cooperation between stakeholders in the entire product lifecycle.     

An approach to characterize and evaluate the quality of Product Lifecycle Management Software Systems

PLM (Product Lifecycle Management) is an information management system that can integrate data, processes, business systems and staff in a company, in general. PLM allows managing efficiently and economically the information that all these elements generate from the initial idea to design, manufacture, maintenance and elimination phases of the product lifecycle. PLM has to include processes and tools to assure the quality of the final products. This way, it is difficult for PLM experts (from aeronautical or automation organizations, among others) to find an environment that suggests which is the best PLM solution that copes with their necessities. A number of PLM solutions are available for this purpose, but experts require a suitable mechanism to select the most appropriate one for the specific context of each organization. For this purpose, this paper presents a quality model, based on QuEF (Quality Evaluation Framework), that aims at helping organizations choose the most useful PLM solution for their particular environments. This model supports both static and dynamic aspects that may be customized for any kind of organization and taken as reference model. Particularly, our approach has been validated in the context of large enterprises in the aeronautical industry within a real R&D project carried out between our research group and Airbus.     

Modeling framework for product lifecycle information

This paper presents a modeling framework for product lifecycle information. Although being widely used in enterprises’ virtual product data management, Product Lifecycle Management (PLM) systems are unable to manage the modeling and simulation aspects of virtual products. To reinforce the sharing and management of the product lifecycle information, especially the simulation data, a product’s four-dimensional (4D) view model (PLIM) is established, which includes geometry view, task view, virtual prototype system view and lifecycle view. To provide efficient and effective simulation information, the prototype system view is then studied in detail. Finally, to validate the feasibility of the modeling framework, a prototype system is developed based on an application example, with the demonstration of 4D product lifecycle information model (PLIM).     

面向产品全生命周期的标准件库研究与实现

设计数据是制造企业产品生命周期管理中的源头数据,设计数据的标准化、 规范化很大程度决定了整个PLM 系统的应用效果。据此,研究了在设计过程中物料信息的产 生及在PLM 系统中的传递过程以及设计工具软件与PLM 系统的单一数据源理论,提出了面 向产品全生命周期管理的标准件库系统的构建与实现方法;以及实现设计工具软件与PLM 系 统协同应用的方法。基于该理论及方法在SOLIDWORKS 的软件平台上开发实现了面向产品 全生命周期的标准件库系统,所开发系统已在某制造企业的设计部门得到应用,效果明显。     

State-of-the-art of long-term preservation in product lifecycle management

Providing access to digital information for the indefinite future is the intention of long-term digital preservation systems. One application domain that certainly needs to implement such long-term digital preservation processes is the design and engineering industry. In this industry, products are designed, manufactured, and operated with the help of sophisticated software tools provided by product lifecycle management (PLM) systems. During all PLM phases, including geographically distributed cross-domain and cross-company collaboration, a huge amount of heterogeneous digital product data and metadata is created. Legal and economic requirements demand that this product data has to be archived and preserved for a long-time period. Unfortunately, the software that is able to interpret the data will become obsolete earlier than the data since the software and hardware lifecycle is relatively short-lived compared to a product lifecycle. Companies in the engineering industry begin to realize that their data is in danger of becoming unusable while the products are in operation for several decades. To address this issue, different academic and industrial initiatives have been initiated that try to solve this problem. This article provides an overview of these projects including their motivations, identified problems, and proposed solutions. The studied projects are also verified against a classification of important aspects regarding scope and functionality of digital preservation in the engineering industry. Finally, future research topics are identified.     

Ambient intelligence as enabling technology for modern business paradigms

Nowadays the competition among companies, joined to the environmental protection rules, is so compelling that they should not only be on the top of technology in they area, but also run their business according to life-long models. The emphasis on the product post-sale life is common for these models. The most popular model is product lifecycle management (PLM), for manufacturing companies, or service engineering (SE), for service-oriented companies, and, for both, common paradigms are in maintenance, with conformance-to-use certification. This paper introduces basic research results achieved in application of Ambient Intelligence (AmI), and suggests considering maintenance as a cross section of the two business paradigms.     

A reference framework following a proactive approach for Product Lifecycle Management

Product Lifecycle Management (PLM) has been identified as a key concept within manufacturing industries for improving product quality, time-to-market and costs. Previous works on this field are focused on processes, functions and information models, and those aimed at putting more intelligence on products are related to specific parts of the product lifecycle (e.g. supply chain management, shop floor control). Therefore, there is a lack of a holistic approach to PLM, putting more intelligence on products through the complete lifecycle. In this paper, a PLM framework supported by a proactive approach based on intelligent agents is proposed. The developed model aims at being a first step toward a reference framework for PLM, and complements past works on both product information and business process models (BPM), by putting proactivity on product's behavior. An example of an instantiation of the reference framework is presented as a case study.     

Quality function deployment implementation based on Fuzzy Kano model: An application in PLM system

Product lifecycle management (PLM), a strategic business system allows more effective communication among different groups at dispersed locations to share ideas and access information needed for developing new products and executing innovative processes. The main function of PLM is to develop an attractive system which ensures customer satisfaction. Therefore, one of the important topics of the PLM system developments is to take customer requirements into consideration. Quality function deployment (QFD) has been widely used for numerous years; it is one of the structured methodologies that are used to translate customer needs into specific quality development. However, in the traditional QFD approach, each element’s interdependence and customer requirements are usually not systematically treated. Additionally, the Kano model can effectively classify customer demand attributes, but to make Kano model more objective in the course of weighing, we have also included Fuzzy mode in our discussion. This study presents an integrative approach by incorporating the Kano model with Fuzzy mode into the matrix of QFD and adjusting customer requirement weights. This approach can fulfill two objectives, First, through the Kano model with the Fuzzy mode, it will not only discriminate out options for the required attributes in much more breadth but also simultaneously render the discretions on the linguistic implications much more accurate with the aid of the ambiguous questionnaire response method. Second, combining the Kano model and QFD, can not only provide a new way to optimize the product design but can also enhance customer satisfaction and loyalty, and minimize dissatisfaction. The proposed methods can be useful to both practitioners and researchers. To illustrate our findings, we have incorporated an example which suggests that the proposed approach can contribute to the creation of attractive PLM attributes and PLM innovation.