Concurrent cost estimation as a tool for enhanced producibility—System development and applicability for producibility studies

Elgh, Fredrik; Cederfeldt, Mikael

doi:10.1016/j.ijpe.2006.11.007

Cited by 32 publications

(5 citation statements)

References 7 publications

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“…Different methods have been proposed to overcome the challenges faced in DFP, DFMA and FMEA. Producibility assessment can be done using design automation [31] and tools of CAD, Computer-aided engineering (CAE) and Computer-integrated manufacturing (CIM) [8]. DFMA and FMEA can be improved by creating a knowledge base of pre-existing knowledge and guidelines and having information models which can be integrated into the CAD systems [27,28,32].…”

Section: Frame Of Referencementioning

confidence: 99%

Design for Producibility: A Case Study on Theory, Practice and Gaps

Koroth

Elgh

Lennartsson

et al. 2022

Advances in Transdisciplinary Engineering

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Changing customer requirements, regulations, technology and regulations, shift to automated assembly and product variety are common challenges faced by many manufacturing industries and alignment between product and production system is critical for business success. Design engineers should be aware of production constraints and capabilities to ensure efficient manufacture and assembly of products that are developed. This requires different and detailed support to guide the work, evaluate different design solutions, enable continuous and concurrent work with design for producibility and production preparation. A study was conducted in three companies to understand alignment and integration of product development and production preparation processes. Also, utilization of production requirements, design for manufacture and assembly (DFMA) and failure modes and effect analysis (FMEA) to support design for producibility (DFP) was studied. Currently, production preparation is done through discussions between design and production engineers. Production preparation and work with DFMA and FMEA is skill and experience dependent. Definition, structuring and sharing of production requirements on different system levels, from production and product perspectives are identified as critical to supporting design for producibility and production preparation. The work with FMEA and DFMA can be developed and improved with systematic and structured way of working with production requirements.

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Section: Frame Of Referencementioning

confidence: 99%

Design for Producibility: A Case Study on Theory, Practice and Gaps

Koroth

Elgh

Lennartsson

et al. 2022

Advances in Transdisciplinary Engineering

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“…The first theme is based on the improvement of rapid and precise estimation techniques in the design phase [16]. In fact, a large number of methods have been developed to enable the estimation of production costs as a function of the quantity and kind of information available [17]. These methods are evaluated on the basis of the measured difference between the results from the approximate calculation and the real-life experiment.…”

Section: State Of the Artmentioning

confidence: 99%

Algorithmic strategy for optimizing product design considering the production costs

Adjoul

Benfriha

Aoussat

2019

Int J Interact Des Manuf

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This article describes a new interactive design approach integrating the constraints associated with production include manufacturing and assembling. The proposed method, in the form of an algorithm, allows optimisation of product design by minimizing production costs at each iteration, without compromising its functionality. The novelty of this algorithm in terms of modeling and optimisation of production costs in the design phase is its ability to dynamically evaluate the cumulative costs of production as a function of design and procedural choices. The availability of this information first allows the identification of design points and/or procedural points that generate significant production costs, and second, suggests improvements and recommendations that aim to optimize production costs. These experiments were conducted at a smart factory installed in our organisation. The proposed algorithm involves four steps. To optimise production costs, the designer must input all of the required data into the simulation and thereby identify the most significant cost elements to optimise. Then, the designer uses the suggested recommendation list to modify the relevant design and/or manufacturing parameters, thus obtaining the new, optimised production costs. If the first result is unsatisfactory, other iterations can be performed.

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“…The shipbuilding industry requires a careful definition of the initial main dimensions and form of the hull, propulsion characteristics, type of primary structure to achieve the required performances; since a wide range of expertise is required during early stages of design, KBE systems managing documents with knowledge on past projects is seen as a solution (Wu & Shaw, 2011). KBE is also used for automating part of the design process at component level for understanding costs in advance by introducing manufacturing criteria (Elgh & Cederfeldt, 2007) or on a wholeship level to analyse trade-offs between the main features of the hull, while respecting a set of preestablished constraints, such as rules from the classification societies (Cui, Wang, & Shi, 2015;Yang, Figure 4. High-level view of a KBE system (Reddy et al, 2015).…”

Section: Knowledge-based Engineeringmentioning

confidence: 99%

Knowledge-Based Engineering in the design for manufacture of prefabricated façades: current gaps and future trends

Montali

Overend

Pelken

et al. 2017

Architectural Engineering and Design Management

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Knowledge-Based Engineering in the design for manufacture of prefabricated façades: current gaps and future trends, Architectural Engineering and Design Management, 14:1-2, 78-94, ABSTRACTThe use of prefabricated façades provides a timely means to increase efficiency in the delivery of buildings, while maximising the expected environmental service performance. In order to achieve high performance and low cost, these products require manufacturability and supply chain knowledge to be integrated earlier than usual in the design process. Knowledge-Based Engineering (KBE) applications can potentially fulfil this need by providing a digital Product Model that informs designers about manufacturability aspects and expected performance. This paper explores the currently available digital tools, as well as KBE and its applicability in façade design. It is first demonstrated that there is a fundamental gap in state-of-the-art digital tools: rather than integrating design principles and manufacturing constraints, existing and emerging tools continue to focus on single disciplines with no consideration for the actual manufacturing stage. The applicability of KBE is then evaluated by reviewing the current use of this approach in the building and other industries, namely, aerospace and shipbuilding. It is found that, although KBE is rarely used in façade design, there are significant opportunities for it to be applied in this sector, due to the similarity in terms of design tasks and priorities with the two other industries reviewed in this paper. ARTICLE HISTORY

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Concurrent cost estimation as a tool for enhanced producibility—System development and applicability for producibility studies

Cited by 32 publications

References 7 publications

Design for Producibility: A Case Study on Theory, Practice and Gaps

Design for Producibility: A Case Study on Theory, Practice and Gaps

Algorithmic strategy for optimizing product design considering the production costs

Knowledge-Based Engineering in the design for manufacture of prefabricated façades: current gaps and future trends

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