Research Ideas for Advances in Decision Sciences (ADS)

This note is concerned with an editorial statement of intent for Advances in Decision Sciences (ADS), which was founded in 1997, so that 2918 marks the 22nd Anniversary of the journal. The note discusses the aims and scope of ADS in Section 1, innovative topics in all fields of optimal decision making in Section 2, research areas of interest to ADS in Section 3, invitation to submit papers to ADS in Section 4, editors and members of the editorial board in Section 5, and acknowledgements in Section 6

Research Ideas for Advances in Decision Sciences (ADS): 22nd Anniversary Special Issue in 2018

This note is concerned with an editorial statement of intent for Advances in Decision Sciences (ADS), which was founded in 1997, so that 2918 marks the 22nd Anniversary of the journal. The note discusses the aims and scope of ADS in Section 1, innovative topics in all fields of optimal decision making in Section 2, research areas of interest to ADS in Section 3, invitation to submit papers to ADS in Section 4, editors and members of the editorial board in Section 5, and acknowledgements in Section 6

The integrated use of enterprise and system dynamics modelling techniques in support of business decisions

Enterprise modelling techniques support business process re-engineering by capturing existing processes and based on perceived outputs, support the design of future process models capable of meeting enterprise requirements. System dynamics modelling tools on the other hand are used extensively for policy analysis and modelling aspects of dynamics which impact on businesses. In this paper, the use of enterprise and system dynamics modelling techniques has been integrated to facilitate qualitative and quantitative reasoning about the structures and behaviours of processes and resource systems used by a Manufacturing Enterprise during the production of composite bearings. The case study testing reported has led to the specification of a new modelling methodology for analysing and managing dynamics and complexities in production systems. This methodology is based on a systematic transformation process, which synergises the use of a selection of public domain enterprise modelling, causal loop and continuous simulationmodelling techniques. The success of the modelling process defined relies on the creation of useful CIMOSA process models which are then converted to causal loops. The causal loop models are then structured and translated to equivalent dynamic simulation models using the proprietary continuous simulation modelling tool iThink

Editorial Statement of Intent for Advances in Decision Sciences (ADS): 22nd Anniversary Special Issue in 2018

This note is concerned with an editorial statement of intent for Advances in Decision Sciences (ADS), which was founded in 1997, so that 2918 marks the 22nd Anniversary of the journal. The note discusses the aims and scope of ADS in Section 1, innovative topics in all fields of optimal decision making in Section 2, invitation to submit papers to ADS in Section 3, editors and members of the editorial board in Section 4, and acknowledgements in Section

Decision support for firm performance by real options analytics

This paper develops a real options decision support tool for raising the performance of the firm. It shows how entrepreneurs can use our intuitive tool quickly to assess the nature and type of action required for improved performance. This exploits our estimated econometric relationship between precipitators of entrepreneurial opportunities, time until exercise, and firm performance. Our 3D chromaticity plots show how staging investments, investment time, and firm performance support entrepreneurial decisions to embed, or to expedite, investments. Speedy entrepreneurial action is securely supported with this tool, without expertise in econometric estimation or in formulae for real options valuation

Mathematical control of complex systems

Copyright © 2013 ZidongWang et al.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited