A Modular Decision-centric Approach for Reusable Design Processes

Panchal, Jitesh H.; Fernández, Marco Gero; Paredis, Christiaan J. J.; Allen, Janet K.; Mistree, Farrokh

doi:10.1177/1063293x09102251

Cited by 18 publications

(3 citation statements)

References 15 publications

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“…Informed by systems theory, design theory, and coordination theory, the generalized approach to process modeling is based on activities (actions) and their interfaces (interactions)—an instantiation of the general approach to modeling the structure of any system of elements and relationships . To represent these, the generalized framework uses two basic objects, process elements (PEs) and deliverables .…”

Section: Introductionmentioning

confidence: 99%

Building models of product development processes: An integrative approach to managing organizational knowledge

Browning

2018

Systems Engineering

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The process for designing and developing complex system products-all of the activities performed and the information and other work products produced-is essential to innovative and competitive enterprises. This process is dynamic, complex, and complicated, and the people who understand it best are in short supply and may not be around for the next project. For a variety of reasons, models of this process are important to systems engineers and managers. A 2006 paper in this journal discussed key concepts in modeling product development (PD) processes. This paper follows by presenting a general approach to building PD process models, integrative process modeling (IPM), which support a wide variety of purposes, such as providing evidence for external certifications, planning projects and programs, and more-but especially serving as a salient repository for crucial organizational information. Although a centralized team of modeling experts leads the overall IPM endeavor, distributed agents define various processes and activities, thereby capturing PD information across very large organizations. The paper discusses management of the model-building project and subsequent operations, as well as software tool support and model storage. A collection of helpful heuristics guides IPM to help organizations improve the long-term value provided by PD process modeling.

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Section: Introductionmentioning

confidence: 99%

Building models of product development processes: An integrative approach to managing organizational knowledge

Browning

2018

Systems Engineering

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“…With the intention of providing an easy-to-use categorization of DA tasks, in [4], authors introduce a categorization that puts design tasks that are suitable for automation into context with a generic design process, so to close the gap between product states and formalization. With a focus on reusability of task related knowledge, in [17]and [18], authors propose a hierarchical decomposition of a design task to the level of granularity that enables re-use of templates that can be adapted and integrated for the given design task. In [19], authors address the formulation of process templates introducing an ontology-based approach including verification of inputs by means of rules.…”

Section: Computational Design Task Definitionmentioning

confidence: 99%

A Federated Enterprise Architecture and MBSE Modeling Framework for Integrating Design Automation into a Global PLM Approach

Vosgien¹,

Rigger²,

Schwarz³

et al. 2017

IFIP Advances in Information and Communication Technology

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PLM and Design Automation (DA) are two interdependent and necessary approaches to increase the performance and efficiency of product development processes. Often, DA systems' usability suffers due to a lack of integration in industrial business environments stemming from the independent consideration of PLM and DA. This article proposes a methodological and modeling framework for developing and deploying DA solutions within a global PLM approach. This framework supports the identification of DA potentials and the definition of the DA task building blocks to support DA task formalization by practitioners. The aim is to make the specification and development of DA solutions more efficient and aligned with the business requirements and with the existing digital environments. This framework combines the usage of two standardized modeling languages to make the captured knowledge re-usable across heterogeneous PLM and DA applications. An industrial case study demonstrating the applicability of the framework is introduced and discussed.

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“…A significant amount work on decision-centric management revolves around managing software architecture decisions [8][9][10], product design [11], business processes [12], business intelligence [13] and physical organizations [14] (including human resources and financial assets). In contrast, we are the first to focus on decision-driven management of runtime communication and scheduling in networks that deliver sensory information.…”

Section: Related Workmentioning

confidence: 99%

Athena: Towards Decision-Centric Anticipatory Sensor Information Delivery

Lee

Marcus

Abdelzaher

et al. 2018

JSAN

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Abstract:The paper introduces a new direction in quality-of-service-aware networked sensing that designs communication protocols and scheduling policies for data delivery that are optimized specifically for decision needs. The work complements present decision monitoring and support tools and falls in the larger framework of decision-driven resource management. A hallmark of the new protocols is that they are aware of the inference structure used to arrive at decisions (from logical predicates), as well as the data (and data quality) that need to be furnished to successfully evaluate the unknowns on which these decisions are based. Such protocols can therefore anticipate and deliver precisely the right data, at the right level of quality, from the right sources, at the right time, to enable valid and timely decisions at minimum cost to the underlying network. This paper presents the decision model used and the protocol design philosophy, reviews the key recent results and describes a novel system, called Athena, that is the first to embody the aforementioned data delivery paradigm. Evaluation results are presented that compare the performance of decision-centric anticipatory information delivery to several baselines, demonstrating its various advantages in terms of decision timeliness, validity and network resources used. The paper concludes with a discussion of remaining future challenges in this emerging area.

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A Modular Decision-centric Approach for Reusable Design Processes

Cited by 18 publications

References 15 publications

Building models of product development processes: An integrative approach to managing organizational knowledge

Building models of product development processes: An integrative approach to managing organizational knowledge

A Federated Enterprise Architecture and MBSE Modeling Framework for Integrating Design Automation into a Global PLM Approach

Athena: Towards Decision-Centric Anticipatory Sensor Information Delivery

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