Abstract
The decision-making in product and production engineering, such as the selection of an optimal design alternative, has to incorporatemultiple, often conflicting decision criteria (e. g., cost, technical quality, and the environmental impact) as well as the corresponding domain experts in the decision process. Since companies are faced with competitive pressure resulting in cost and time restrictions, an appropriate IT system supporting rapid and nevertheless accurate decision processes is highly recommended. This article presents the web-based IT system SP-AHP that provides the solution to multi-criteria, multi-stakeholder decision problems. In particular, a flexible and easy-to-use approach for collaborative decision-making as well as the corresponding IT implementation is proposed. Moreover, the software architecture of the entire system and its functionalities are outlined.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Buckley, J.: Fuzzy hierarchical analysis. Fuzzy Sets and Systems 17(3), 233–247 (1985)
Dong, Y., Zhang, G., Hong, W.C., Xu, Y.: Consensus models for AHP group decision making under row geometric mean prioritization method. Decision Support Systems 49(3), 281–289 (2010)
Figueira, J., Greco, S., Ehrogott, M. (eds.): Multiple Criteria Decision Analysis: State of the Art Surveys. Int. Series in Operations Research & Management Science, vol. 78. Springer (2005)
Forman, E., Gass, S.: The analytic hierarchy process - an exposition. Operations Research 49(4), 469–486 (2001)
Forman, E., Peniwati, K.: Aggregating individual judgments and priorities with the analytic hierarchy process. European Journal of Operational Research 108(1), 165–169 (1998)
Harker, P.: Incomplete pairwise comparisons in the analytic hierarchy process. Mathematical Modelling 9(11), 837–848 (1987)
Herrera-Viedma, E., Alonso, S., Chiclana, F., Herrera, F.: A consensus model for group decision making with incomplete fuzzy preference relations. IEEE Transactions on Fuzzy Systems 15(5), 863–877 (2007)
Ishizaka, A., Labib, A.: Analytic hierarchy process and expert choice: Benefits and limitations. ORInsight 22(4), 201–220 (2009)
Lindemann, U., Stetter, R., Viertlböck, M.: A pragmatic approach for supporting integrated product development. Journal of Integrated Design and Process Science 5(2), 39–51 (2001)
Lootsma, F.A.: Scale sensitivity in the multiplicative AHP and SMART. Journal of Multi-Criteria Decision Analysis 2(2), 87–110 (1993)
McCarthy, K.: Comment on the Analytic Delphi Method. Int. Journal of Production Economics 27(2), 135–136 (1992)
Niemann, J., Tichkiewitch, S., Westkämper, E. (eds.): Design of Sustainable Product Life Cycles. Springer (2009)
Reichel, T., Rünger, G.: Prioritization of product requirements using the Analytic Hierarchy Process. In: Proc. of the 14th Int. Conf. on Enterprise Information Systems ICEIS 2012, vol. 2, pp. 70–76. SciTePress (2012)
Reichel, T., Rünger, G.: Multi-criteria decision support for manufacturing process chains. Chemnitzer Informatik-Berichte CSR-13-02, TU Chemnitz (2013)
Rünger, G., Götze, U., Putz, M., Bierer, A., Lorenz, S., Reichel, T., Steger, D., Wenzel, K., Xu, H.: Development of energy-efficient products: Models, methods and IT support. CIRP Journal of Manufacturing Science and Technology 4(2), 216–224 (2011)
Saaty, T.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Vincke, P.: Multicriteria Decision-aid, 1 edn. Wiley (1992)
Weiss, E., Rao, V.: AHP design issues for large-scale systems. Decision Sciences 18(1), 43–57 (1987)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Reichel, T., Rünger, G. (2014). SP-AHP: An IT System for Collaborative Multi-criteria Decision-Making. In: Benghozi, P., Krob, D., Lonjon, A., Panetto, H. (eds) Digital Enterprise Design & Management. Advances in Intelligent Systems and Computing, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-319-04313-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-04313-5_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04312-8
Online ISBN: 978-3-319-04313-5
eBook Packages: EngineeringEngineering (R0)