661,914 research outputs found

    TOPSIS-RTCID for range target-based criteria and interval data

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    [EN] The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is receiving considerable attention as an essential decision analysis technique and becoming a leading method. This paper describes a new version of TOPSIS with interval data and capability to deal with all types of criteria. An improved structure of the TOPSIS is presented to deal with high uncertainty in engineering and engineering decision-making. The proposed Range Target-based Criteria and Interval Data model of TOPSIS (TOPSIS-RTCID) achieves the core contribution in decision making theories through a distinct normalization formula for cost and benefits criteria in scale of point and range target-based values. It is important to notice a very interesting property of the proposed normalization formula being opposite to the usual one. This property can explain why the rank reversal problem is limited. The applicability of the proposed TOPSIS-RTCID method is examined with several empirical litreture’s examples with comparisons, sensitivity analysis, and simulation. The authors have developed a new tool with more efficient, reliable and robust outcomes compared to that from other available tools. The complexity of an engineering design decision problem can be resolved through the development of a well-structured decision making method with multiple attributes. Various decision approches developed for engineering design have neglected elements that should have been taken into account. Through this study, engineering design problems can be resolved with greater reliability and confidence.Jahan, A.; Yazdani, M.; Edwards, K. (2021). TOPSIS-RTCID for range target-based criteria and interval data. International Journal of Production Management and Engineering. 9(1):1-14. https://doi.org/10.4995/ijpme.2021.13323OJS11491Ahn, B.S. (2017). 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Developing WASPAS-RTB method for range target-based criteria: toward selection for robust design. Technological and Economic Development of Economy, 24, 1362-1387. https://doi.org/10.3846/20294913.2017.1295288Jahan, A., Bahraminasab, M., Edwards, K.L. (2012). A target-based normalization technique for materials selection. Materials & Design, 35, 647-654. https://doi.org/10.1016/j.matdes.2011.09.005Jahan, A., Edwards, K.L. (2013). VIKOR method for material selection problems with interval numbers and target-based criteria. Materials & Design, 47, 759-765. https://doi.org/10.1016/j.matdes.2012.12.072Jahan, A., Edwards, K.L. (2015). A state-of-the-art survey on the influence of normalization techniques in ranking: Improving the materials selection process in engineering design. Materials & Design, 65, 335-342. https://doi.org/10.1016/j.matdes.2014.09.022Jahan, A., Edwards, K.L., Bahraminasab, M. (2016). Multi-criteria decision analysis for supporting the selection of engineering materials in product design, Oxford, Butterworth-Heinemann.Jahan, A., Mustapha, F., Ismail, M.Y., Sapuan, S.M., Bahraminasab, M. (2011). A comprehensive VIKOR method for material selection. Materials & Design, 32, 1215-1221. https://doi.org/10.1016/j.matdes.2010.10.015Jahan, A., Zavadskas, E.K. (2018). ELECTRE-IDAT for design decision-making problems with interval data and target-based criteria. Soft Computing, 23, 129-143. https://doi.org/10.1007/s00500-018-3501-6Jahanshahloo, G.R., Hosseinzadeh Lotfi, F., Davoodi, A.R. (2009). Extension of TOPSIS for decision-making problems with interval data: Interval efficiency. Mathematical and Computer Modelling, 49, 1137-1142. https://doi.org/10.1016/j.mcm.2008.07.009Jahanshahloo, G.R., Lotfi, F.H., Izadikhah, M. (2006). An algorithmic method to extend TOPSIS for decision-making problems with interval data. 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    Knowledge-based Methods for Integrating Carbon Footprint Prediction Techniques into New Product Designs and Engineering Changes.

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    This dissertation presents research focusing on the development of knowledge-based techniques of assessing the carbon footprint during new product creation. This research aims to transform the current time-consuming, off-line and reactive approach into an integrated proactive approach that relies on using fast estimates of sustainability generated from past computations on similar products. The developed methods address multiple challenges by leveraging the latest advancements in open standards and software capabilities from machine learning and data mining to support integration and early decision-making using generic knowledge of the product development field. Life-Cycle Assessment (LCA)-based carbon footprint calculation typically starts by analyzing the product functions. However, the lack of a semantically correct formal representation of product functions is a barrier to their effective capture and reuse. We first identified the advanced semantics that must be captured to ensure appropriate usability for reasoning with product functions. We captured them into a Function Semantics Representation that relies on the Semantic Web Rule Language, a proposed Semantic Web standard, to overcome limitations posed due to the commonly used Web Ontology Language. Several products are developed as Engineering Changes (ECs) of previous products but there is not enough data to predict the carbon footprint available before their implementation. In order to use past EC knowledge to predict for this purpose, we proposed an approach to compute similarity between ECs that overcame the challenge of the hierarchical nature of product knowledge by integrating an approach inspired from research in psychology with semantics specific to product development. We embedded this into a parallelized Ant-Colony based clustering algorithm for faster retrieval of a group of similar ECs. We are not aware of approaches to predict the carbon footprint of an EC or a proposed design right after the proposal. In order to reuse carbon footprint information from past designs and engineering changes, key parameters were determined to represent lifecycle attributes. The carbon footprint is predicted through a surrogate LCA technique developed using case-based reasoning and boosted-learning.Ph.D.Mechanical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/78846/1/scyang_1.pd

    A prescriptive approach to qualify and quantify customer value for value-based requirements engineering

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    Recently, customer-based product development is becoming a popular paradigm. Customer expectations and needs can be identified and transformed into requirements for product design with the help of various methods and tools. However, in many cases, these models fail to focus on the perceived value that is crucial when customers make the decision of purchasing a product. In this paper, a prescriptive approach to support value-based requirements engineering (RE) is proposed, describing the foundations, procedures and initial applications in the context of RE for commercial aircraft. An integrated set of techniques, such as means-ends analysis, part-whole analysis and multi-attribute utility theory is introduced in order to understand customer values in depth and width. Technically, this enables identifying the implicit value, structuring logically collected statements of customer expectations and performing value modelling and simulation. Additionally, it helps to put in place a system to measure customer satisfaction that is derived from the proposed approach. The approach offers significant potential to develop effective value creation strategies for the development of new product

    Reference Ontologies to Support the Development of New Product-Service Lifecycle Systems

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    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) in 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 lifecycle systems with a view towards the seamless interchange of information or interoperability between systems and domains. This paper present preliminary results for the capture and modelling of end-user information and an initial higher level reference core ontology for the development of reference ontologies to ameliorate product-service lifecycle management for GPNPalmer, C.; Urwin, E.; Pinazo-Sanchez, J.; Sánchez Cid, F.; Pajkovska-Goceva, S.; Young, R. (2014). Reference Ontologies to Support the Development of New Product-Service Lifecycle Systems. En Advances in Production Management Systems: Innovative and Knowledge-Based. Springer Verlag. 642-649. doi:10.1007/978-3-662-44736-9_78S642649Vandermerwe, S., Rada, J.: Servitization of business: adding value by adding services. European Management Journal 6(4), 314–324 (1988)Coe, N.M., Dicken, P., Hess, M.: Global production networks: realizing the potential. Economic Geography Research Group, Working Paper Series No. 05.07 (2007)Young, R.I.M., Gunendran, A.G., Chungoora, N., Harding, J.A., Case, K.: Enabling interoperable manufacturing knowledge sharing in PLM. In: Proceedings of the Sixth Interna-tional Conference on Product Life Cycle Management PLM 2009, University of Bath, Bath, UK, July 6-8, pp. 130–138. Inderscience Enterprises Ltd., Switzerland (2009)Chungoora, N., Young, R.I.M.: The configuration of design and manufacture know-ledge models from a heavyweight ontological foundation. International Journal of Production Research 49(15), 4701–4725 (2011)Chungoora, N., Cutting-Decelle, A.-F., Young, R.I.M., Gunendran, G., Usman, Z., Harding, J.A., Case, K.: Towards the ontology-based consolidation of production-centric standards. International Journal of Production Research 51(2), 327–345 (2013a)Hastilow, N.: An Ontological Approach to Manufacturing Systems Interoperability in Dynamic Change Environments. PhD Thesis. School of Mechanical and Manufacturing Engineering, Loughborough University, UK (2013)Highfleet Ontology Library Reference. Highfleet Inc., Baltimore (2014)International Standards Society, ISO/IEC 15288:2008 Systems and Software Engineering – System lifecycle processes. ISO, Genève (2008)Banathy, B.H.: A systems view of education: Concepts and principles for effective practice. Educational Technology (1992)OMG, 2012 OMG unified modeling language (OMG UML), superstructure and infrastructure version 2.4.1 (2012), http://www.omg.org/spec/UML/2.4.1/ (accessed May 9, 2014)Mizoguchi, R., Kozaki, K., Kitamura, Y.: Ontological analyses of roles. In: 2012 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 489–496. IEEE (September 2012)FIPS PUBs: Integration definition for function modelling (IDEF0). Federal information processing standards publication, 183 (1993)POP* Revised framework Work package – A1.8, Athena European integrated project no. 507849 public deliverable (2006

    Integration of decision support systems to improve decision support performance

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    Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

    A review of information flow diagrammatic models for product-service systems

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    A product-service system (PSS) is a combination of products and services to create value for both customers and manufacturers. Modelling a PSS based on function orientation offers a useful way to distinguish system inputs and outputs with regards to how data are consumed and information is used, i.e. information flow. This article presents a review of diagrammatic information flow tools, which are designed to describe a system through its functions. The origin, concept and applications of these tools are investigated, followed by an analysis of information flow modelling with regards to key PSS properties. A case study of selection laser melting technology implemented as PSS will then be used to show the application of information flow modelling for PSS design. A discussion based on the usefulness of the tools in modelling the key elements of PSS and possible future research directions are also presented

    The design co-ordination framework : key elements for effective product development

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    This paper proposes a Design Co-ordination Framework (DCF) i.e. a concept for an ideal DC system with the abilities to support co-ordination of various complex aspects of product development. A set of frames, modelling key elements of co-ordination, which reflect the states of design, plans, organisation, allocations, tasks etc. during the design process, has been identified. Each frame is explained and the co-ordination, i.e. the management of the links between these frames, is presented, based upon characteristic DC situations in industry. It is concluded that while the DCF provides a basis for our research efforts into enhancing the product development process there is still considerable work and development required before it can adequately reflect and support Design Co-ordination

    The impact of resources on decision making

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    Decision making is a significant activity within industry and although much attention has been paid to the manner in which goals impact on how decision making is executed, there has been less focus on the impact decision making resources can have. This article describes an experiment that sought to provide greater insight into the impact that resources can have on how decision making is executed. Investigated variables included the experience levels of decision makers and the quality and availability of information resources. The experiment provided insights into the variety of impacts that resources can have upon decision making, manifested through the evolution of the approaches, methods, and processes used within it. The findings illustrated that there could be an impact on the decision-making process but not on the method or approach, the method and process but not the approach, or the approach, method, and process. In addition, resources were observed to have multiple impacts, which can emerge in different timescales. Given these findings, research is suggested into the development of resource-impact models that would describe the relationships existing between the decision-making activity and resources, together with the development of techniques for reasoning using these models. This would enhance the development of systems that could offer improved levels of decision support through managing the impact of resources on decision making

    A Decision Making System for Selecting Sustainable Technologies for Retail Buildings

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    CIB Publication 382: Selected papers presented at the CIB World Building Congres Construction and Society, Brisbane 5-9 May 2013 Papers from the Designated Session TG66 - Energy and the Built EnvironmentThe implementation of sustainable technologies can improve the energy and carbon efficiency of existing retail buildings. However, the selection of an appropriate sustainable technology is a complex task due to the large number of technological alternatives and decision criteria that need to be considered. Also, there exist series of uncertainties that are associated with the use of sustainable technologies, but have to be evaluated to achieve realistic and transparent results. The selection of sustainable technology is therefore most challenging. An earlier study was conducted with UK experienced practitioners including clients/developers, engineers, contractors and suppliers to identify the drivers and barriers for the use of sustainable technologies in UK retail construction. One major barrier identified from the study was the lack of a decision making tool, highlighted by both construction professionals and stakeholders in the retail industry. The large number of alternatives and potential solutions require a decision support method to be implemented. Information data on the economic variables, energy performance and impact on the environment of these systems is presently affected by vagueness and lack of knowledge. To deal with this high level of complexity and uncertainty an evaluation support approach is needed. This paper aims to develop a decision making framework to assist both retailers and construction professionals to define and evaluate the selection of sustainable technological options for delivering retail buildings. The research was carried out through a combination of a critical literature review and a survey-based study using expert opinions of retailers and contractors. The developed framework of decision criteria should provide a sustainable technology model to assist both construction professionals and stakeholders in the retail industry to systematically and effectively select the most appropriate technology. This approach should make the decision progression more transparent and facilitate sustainable development of retail buildings in achieving the carbon targets set by the UK and other governments
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