Set Based PLM Implementation, a Modular Approach to PLM Process Knowledge, Management and Automation

Koomen, Bas

doi:10.1007/978-3-319-72905-3_1

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…To validate the usefulness of the proposed framework to structure literature, we conducted a systematic mapping study (SMS) referring to established guidelines (Kitchenham and Charters 2007;Petersen et al 2015). We mainly followed the one from Petersen et al (2015), and were also inspired by useful practices and suggestions from similar studies (Rashid and Anwar 2016;Wolny et al 2020;Wortmann et al 2017).…”

Section: Systematic Mapping Study Methodologymentioning

confidence: 99%

Engineering complexity beyond the surface: discerning the viewpoints, the drivers, and the challenges

2023

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Complexity is often regarded as a “problem” to solve. Instead of attempting to solve complexity, we follow systems engineering practices and switch back to the problem domain, where a major obstacle is the impossibility to universally define complexity. As a workaround, we explored complexity characterization and its existing shortcomings, including: lack of standardization, inconsistent semantics, system-centricity, insufficiently transparent reasoning, and lack of validation. To address these shortcomings, we proposed a compilatory framework to characterize complexity using the Five Ws information-gathering method. The answer to the WHO question proposed four complexity viewpoints; the answer to the WHY question proposed a two-dimensional structure for complexity drivers; and the answer to the WHAT question derived generalized complexity challenges. As a preliminary step to show the potential of the framework to characterize complexity, we used and validated it as a tool to structure general literature related to complexity. In general, our findings suggest that papers with complexity solutions do not frame their research within the complexity problem domain, hindering the contribution evaluation. Through the viewpoints, we identified general research gaps of six solution directions. From the drivers, we noted three observations in the discourse of complexity origins: (1) a system-driven tendency, (2) a preference for concreteness vs. abstraction, and (3) an unclear distinction between origins and effects. Through the challenges’ findings we explored two hypotheses: (1) a system-centric preference; and (2) a solution-oriented vision, both of which were supported by the results (most challenges relate to the system viewpoint and challenges are defined based on solution directions).

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Section: Systematic Mapping Study Methodologymentioning

confidence: 99%

Engineering complexity beyond the surface: discerning the viewpoints, the drivers, and the challenges

2023

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“…The purpose of the MM is to guide an organization to achieve the desired level of CLM maturity because theory indicates that organizations do not evolve much beyond the maturity level of the basic processes of their products in their life cycle phases. If organizations cannot standardize these processes, then the IT system will not make any difference [84]. To do so, the organization must analyze its current state and set goals that describe the desired level [76].…”

Section: Development Of Clm-mm and Initial Refinementmentioning

confidence: 99%

Configuration lifecycle management maturity model

Myrodia

Randrup²,

Hvam

2019

Computers in Industry

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Configuration lifecycle management (CLM) encompasses all configuration models across a product's life cycle. CLM covers manufacturers' needs for complex configurable products, which tend to require more seamless integration of all their business units and external stakeholders in terms of process continuity and data exchange. CLM differs from existing life cycle management tools because it focuses on sharing the configuration knowledge and data of a configurable product throughout its entire life cycle across all the involved business units of an organization. Therefore, assessing the maturity level of the organization is important for more effective and efficient implementation of CLM. Based on this, the contribution of this research is the development of a CLM maturity model that serves as a guide for the transition to complete horizontal and vertical integration of CLM knowledge and tools across and beyond an organization. The proposed maturity model is validated against the literature and existing maturity models, in addition to being examined through a workshop with industry representatives and empirical cases.

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Set Based PLM Implementation, a Modular Approach to PLM Process Knowledge, Management and Automation

Cited by 2 publications

References 8 publications

Engineering complexity beyond the surface: discerning the viewpoints, the drivers, and the challenges

Engineering complexity beyond the surface: discerning the viewpoints, the drivers, and the challenges

Configuration lifecycle management maturity model

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