Requirement based Future Product Cost Estimation using Lifecycle Assessment Data

Heller, Jan Erik; Löwer, Manuel; Feldhusen, Jörg

doi:10.1016/j.procir.2014.06.069

Cited by 9 publications

(10 citation statements)

References 4 publications

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“…The research in this paper is based on a literature review of the existing body of literature and case studies from two companies. As the study expands on the use of data in the development process, the research review focuses on examples of applying data in the decision making process (Heller et al, 2014;McAloone and Pigosso, 2017;Staub-French et al, 2003) and the decomposition of systems as a method to handling complexity from Theory of Technical Systems (Hubka and Eder, 1988). The case studies are based on companies that have addressed data structuring in two different ways.…”

Section: Methodsmentioning

confidence: 99%

Structuring and Contextualizing Historical Data for Decision Making in Early Development

Sigsgaard

Agergaard

Bertram

et al. 2020

Proc. Des. Soc.: Des. Conf.

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It is important to be able to compare and evaluate different solutions early in development. This paper proposes a method for structuring historical data into a data model that can support the evaluation of new design concepts. The data is contextualized by linking it to a hierarchical decomposition of existing products. Two case studies were conducted to evaluate the value of using historical data when evaluating new concepts. The cases confirm that the proposed method is useful for evaluation of new concepts.

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Section: Methodsmentioning

confidence: 99%

Structuring and Contextualizing Historical Data for Decision Making in Early Development

Sigsgaard

Agergaard

Bertram

et al. 2020

Proc. Des. Soc.: Des. Conf.

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“…(1) Material Flows Arrangement for supplying raw materials and assembly parts and/or component from direct or indirect vendors and/or suppliers [4,7,25,26,39,44] (2) Assembly/Dis-assembly related activity Production facilities needed for assembly/disassembly (i.e., manual/semi-automated/automated processes) associated activities [5,6,12,28,[45][46][47] (3) Reuse related activity Manufacturing infrastructure and facilities needed for cleaning, handling, sorting, inspecting and testing activities [5,12,27,30,[47][48][49] (4) Remanufacture related activity Manufacturing infrastructure and facilities needed for rectifying, repairing and replacing parts and/or components [5,12,27,30,31,[47][48][49] (5) Recycle related activity Manufacturing infrastructure and reprocessing facilities needed for shredding, separating, sorting, inspecting and testing [5,11,12,27,30,32,33,37,38,[47][48][49] (6) Disposal Treatment…”

Section: Ctr Operations Descriptionmentioning

confidence: 99%

“…Finally, the future work and contributions of this study are discussed.Designs 2019, 3, 18 2 of 21 recovery utilisation potential for the used manufactured products [18][19][20][21][22][23][24][25][26]. The existing research on product recovery focuses on various aspects of post-use operations, including environmentally conscious manufacturing and product recovery operations, reverse logistics plan, green supply chain management, product redesign plan, sustainable supply chain management and 3R methodologies (i.e., reuse/remanufacture/recycle related activities) [3,[13][14][15][27][28][29].Many companies found the use of real-time communication to surpass expectations, therefore allowing them to effectively analyse different data streams and create new policies or processes that benefit the company as a whole. The manufacturing industry has far superseded any other industry with its improvements on effectiveness and efficiency after implementing the advanced decision support system and communication technologies.…”

mentioning

confidence: 99%

“…For example, those parts and/or components are to be directly reused, remanufactured, recycled, and disposed entirely from the returns stream, which is a practical challenge. The disposition alternatives need to take various manufacturing processes into considerations [11,28,[32][33][34]. Therefore, the appropriate disposition for those parts, and/or components can generate increased recovery utilisation value over its product lifecycle [34][35][36].…”

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confidence: 99%

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Building Model-Driven Decision Support System in Product Redesign Plan

Kuik

Diong

2019

Designs

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Product recovery strategy requires a thoughtful consideration of environmental implications of operational processes, undergone by a manufactured product in its entire product lifecycle, from stages of material processing, manufacturing, assembly, transportation, product use, product post-use and end-of-life. At the returns stream from product use stage, those parts and/or component assemblies from a used product have several disposition alternatives for recovery, such as direct reuse, remanufacture, recycle or disposal. Due to such complexity of the manufacturing processes in recovery, current decision methodologies focus on the performance measures of cost, time, waste and quality separately. In this article, an integrated decision model for used product returns stream is developed to measure the recovery of utilisation value in the aspects of cost, waste, time, and quality collectively. In addition, we proposed a model-driven decision support system (DSS) that may be useful for manufacturers in making recovery disposition alternatives. A case application was demonstrated with the use of model-driven DSS to measure recovery utilisation value for the used product disposition alternatives. Finally, the future work and contributions of this study are discussed.Designs 2019, 3, 18 2 of 21 recovery utilisation potential for the used manufactured products [18][19][20][21][22][23][24][25][26]. The existing research on product recovery focuses on various aspects of post-use operations, including environmentally conscious manufacturing and product recovery operations, reverse logistics plan, green supply chain management, product redesign plan, sustainable supply chain management and 3R methodologies (i.e., reuse/remanufacture/recycle related activities) [3,[13][14][15][27][28][29].Many companies found the use of real-time communication to surpass expectations, therefore allowing them to effectively analyse different data streams and create new policies or processes that benefit the company as a whole. The manufacturing industry has far superseded any other industry with its improvements on effectiveness and efficiency after implementing the advanced decision support system and communication technologies. The information age saw a shift in consumer behaviour, from physical purchases to online ones. These consumer behaviours have additionally forced businesses to rethink and reshape the methods in which they perform everyday processes, communicate with customers and plan for future events. This also includes the product lifecycle management for manufacturers by considering actual performance measures of used product in the aspects of cost, time, waste and quality.In today's dynamic environment, substantial interest in sustainability by customers, businesses owners, governments, and community awareness is also driving many sectors in the manufacturing industries to engage with product recovery strategy and its implementation. Until now, numerous industry practitioners are still struggling with product redesign plans from ...

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“…(Doros et al 2014). Heller et al (2014) note that the total cost of products typically focuses mainly on production expenses. (Heller et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Product and supply chain related data, processes and information systems for product portfolio management

Hannila

Tolonen

Härkönen

et al. 2019

IJPLM

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Traditional Product Data Management (PDM) systems have evolved to support the Product Lifecycle Management (PLM). The combination, also referred to as PDM/PLM has developed into a product master data (PMD) repository. The PMD and business process related data are utilised in product portfolio management (PPM). However, companies' tendency to have productrelated data in silos among multiple business processes and information systems (IS) results in uncertain information for PPM. This study focuses on data, processes and information systems related to PMD and supply chain product data (SCPD), PPM and supply chain (SC) processes and information systems. The study highlights the related challenges in providing fact-based data for PPM analysis and decision-making. The results indicate that the key PMD and SCPD have not been connected back to PPM as automated and integrated data flow from enterprise resource planning (ERP) system to the PDM/PLM system. The key SCPD consists of product-related volume and cost information that should be linked to PPM analysis and decision making. These findings are critical to further develop data, processes and IS to support strategic and financial PPM analysis and decision making on what products a company should have in the portfolio.

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Requirement based Future Product Cost Estimation using Lifecycle Assessment Data

Cited by 9 publications

References 4 publications

Structuring and Contextualizing Historical Data for Decision Making in Early Development

Structuring and Contextualizing Historical Data for Decision Making in Early Development

Building Model-Driven Decision Support System in Product Redesign Plan

Product and supply chain related data, processes and information systems for product portfolio management

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