Decision Making Analysis and Modeling

Value of information in portfolio decision analysis

by Jeffrey Keisler

Von guten Algorithmen und schlechten Menschen

by Hans H. Diebner

In: Barbara Könches und Peter Weibel (Hrsg.): UnSICHTBARes - kunst_wissenschaft. Benteli-Verlag, Bern, 2005, pp. 384-405.

Ranking of Strategic Plans in Balanced Scorecard by Using Electre Method

by Javad Dodangeh

In a growing competitive business environment, many organizations have taken by adoption the strategic planning... more In a growing competitive business environment, many organizations have taken by adoption the strategic planning approach to an effort for business excellence. Implementation of proper strategies plays a vital role for organizations' success. Balanced scorecard is a suitable tool for designing operational strategies. However, one of the balanced scorecard problems is the selection in strategic plans' performance. In this paper, was settled a model for selection of strategic plans in Balanced Scorecard using Electre method. So first using the consensus of organization's managers and experts' opinions, measures of four perspectives and general objectives are determined in BSC. And then using experts' opinions and taking the relative importance of decision makers' opinions into consideration, by using Electre1, the performances of strategic plans are selected in BSC model. The results are shown that the introduced method is more reliable and acceptable and the experts were verified the model for selecting of strategic plans in BSC in operation. The introduced method was used in a study and extracted results from it were analyzed from different points of view. In this article Initiative is called strategic plans.

Keywords: Balanced Scorecard, Initiatives, MCDM, ELECTRE

Designing fuzzy multi criteria decision making model for best selection of Areas for Improvement in EFQM model

by Javad Dodangeh

http://www.researcherid.com/rid/F-7603-2010

In a growingly competitive business environment, numerous organizations adopt the total quality management (TQM)... more In a growingly competitive business environment, numerous organizations adopt the total quality management (TQM) approach, to struggle for business excellence. To monitor the progress towards business excellence, thousands of organizations across the world use self-assessment on a regular basis. There are a few popular business excellence models, that provide standard criteria against which an organization can measure its performances. European Foundation for Quality Management (EFQM) is the most popular ones. The EFQM Excellence Model was introduced at the beginning of 1992, as the framework for assessing organizations for the European Quality Award. It is now the most widely used organizational framework in Europe and across the world and it has become the basis for the majority of international, national and regional Quality Awards. It is a practical tool that can be used as a guide to identify areas for Improvement. However, the current EFQM model has some drawbacks and problems which are not able to identify the priorities in Area for Improvement (AFI). For organizations with limitations of time, budget and resources and that cannot implement all the AFIs, some standards or indexes and limitations should be defined for prioritizing and choosing the AFIs. Using fuzzy multi criteria decision making model, the AFIs’ can be identified. Therefore, this work will develop a more comprehensive method of evaluating, assessing and determining the AFIs’ in the EFQM model. The results showed that, the new comprehensive developed model is more valid and acceptable and the experts verified the model for selecting of AFIs’ in EFQM in practice. The developed model was used in a case study and extracted results from it and were analyzed from different points of view

Development of a framework for integrated health impact analysis of geoenvironmental pollution

by Giovanni Leonardi

A theory of rolling horizon decision making

by Suresh Sethi

Agency, Determinism, Focal Time Frames, and Narrative in Processive Minimalist Music

by Joshua B. Mailman

To appear as Chapter 6 of the book:
Music and Narrative Since 1900.
Michael Klein and Nicholas Reyland, (Eds.) Indiana University Press. Forthcoming in November 2012.
http://www.iupress.indiana.edu/product_info.php?cPath=1037_3025_3988&products_id=806644

Machine Learning for Medical Decision Support: Evaluating Diagnostic Performance of Machine Learning Classification Algorithms

by Patrick Herron

Average cost optimality in inventory models with Markovian demands

by Suresh Sethi

Deterministic and stochastic optimization of a dynamic advertising model

by Suresh Sethi

Forecast, solution, and rolling horizons in operations management problems: A classified bibliography

by Suresh Sethi

Sequencing of parts and robot moves in a robotic cell

by Suresh Sethi

A conceptual model for intermodal freight logistics centre location decisions

by Yasanur Kayikci

Procedia - Social and Behavioral Sciences
Volume 2, Issue 3, 2010, Pages 6297-6311
The Sixth International Conference on City Logistics

The persistent growth of freight traffic congestion and air pollution in urban areas and the increase of imbalance and... more The persistent growth of freight traffic congestion and air pollution in urban areas and the increase of imbalance and inefficiency in land use development drive public authorities and users to find alternative logistics solutions to ease the freight traffic problem. Intermodal freight logistics centres play an important role in achieving socio-economic and environmental sustainability by enhancing an optimal integration of different modes to provide an efficient and cost-effective use of the transport system through customer-oriented, door-to-door services while favouring competition among transport operators. An efficient logistics centre structure may lead to a significant profit and return on investment as well as a significantly increased competitive advantage in the market place by meeting strategic commercial objectives, where determination of the location is a key factor in enhancing the efficiency of urban freight transport systems and initializing relative sufficient supply chain activities. Hence, public authorities should consider the importance of this topic by any given decision in terms of strong economical, social and environmental implications before announcing an area as a logistics centre. The objective of this study is to explore the applicability of the way for the development of a conceptual model based on a combination of the fuzzy-analytical hierarchy process (AHP) and artificial neural networks (ANN) methods in the process of decision-making in order to select the most appropriate location. A numerical example is provided to demonstrate the concept of proposed model.

Scenarios of urban sprawl using Gis and cellular automata

by Pedro Henriques

Livro de resumos do 3rd Meeting of Young Researchers of Univ. Porto