Decision support framework for evaluating the operational environment of forest bioenergy production and use: Case of four European countries

2016 ◽  
Vol 180 ◽  
pp. 68-81 ◽  
Author(s):  
Špela Pezdevšek Malovrh ◽  
Mikko Kurttila ◽  
Teppo Hujala ◽  
Leena Kärkkäinen ◽  
Vasja Leban ◽  
...  
Keyword(s):  
Decision Support ◽  
European Countries ◽  
Use Case ◽  
Operational Environment ◽  
Bioenergy Production ◽  
Decision Support Framework

Decision support framework for location selection and disaster relief network design

2017 ◽  
Vol 7 (3) ◽  
pp. 222-245 ◽  
Author(s):  
Giuseppe Timperio ◽  
Gajanan Bhanudas Panchal ◽  
Avinash Samvedi ◽  
Mark Goh ◽  
Robert De Souza
Keyword(s):  
Decision Support ◽  
Network Design ◽  
Disaster Relief ◽  
Real Life ◽  
Humanitarian Logistics ◽  
Decision Makers ◽  
Use Case ◽  
Distribution Centers ◽  
Content Type ◽  
Decision Support Framework

Purpose The purpose of this paper is to provide a decision support framework for locations identification to address network design in the domain of disaster relief supply chains. The solution approach is then applied to a real-life case about Indonesia. Design/methodology/approach An approach integrating geographic information system technology and fuzzy analytical hierarchy process has been used. Findings For the Indonesian case, distribution centers should be located in Pekanbaru, Surabaya, Banjarmasin, Ambon, Timika, and Manado. Research limitations/implications The main limitation of this work is that facilities being sited are incapacitated. Inclusion of constraints over capacity would elevate the framework to a further level of sophistication, enabling virtual pool of inventory that can be used to adsorb fluctuation in the demand due to disasters. Practical implications The use case provided in this paper shows a practical example of applicability for the proposed framework. This study is able to support worldwide decision makers facing challenges related with disaster relief chains resilience. In order to achieve efficiency and effectiveness in relief operations, strategic logistics planning in preparedness is key. Hence, initiatives in disaster preparedness should be enhanced. Originality/value It adds value to the previous literature on humanitarian logistics by providing a real-life case study as use case for the proposed methodology. It can guide decision makers in designing resilient humanitarian response, worldwide. Moreover, a combination of recommendations from humanitarian logistics practitioners with established models in facility location sciences provides an interdisciplinary solution to this complex exercise.

Developing Dynamic Reference Models and a Decision Support Framework for Southeastern Ecosystems: An Integrated Approach

2015 ◽  
Author(s):  
L. K. Kirkman ◽  
John K. Hiers A. ◽  
L. L. Smith ◽  
L. M. Conner ◽  
S. L. Zeigler ◽  
...  
Keyword(s):  
Decision Support ◽  
Integrated Approach ◽  
Reference Models ◽  
Decision Support Framework

scholarly journals Quantifying Proximity, Confinement, and Interventions in Disease Outbreaks: A Decision Support Framework for Air-Transported Pathogens

2021 ◽  
Vol 55 (5) ◽  
pp. 2890-2898 ◽  
Author(s):  
Tami C. Bond ◽  
Angela Bosco-Lauth ◽  
Delphine K. Farmer ◽  
Paul W. Francisco ◽  
Jeffrey R. Pierce ◽  
...  
Keyword(s):  
Decision Support ◽  
Disease Outbreaks ◽  
Decision Support Framework

scholarly journals Decision support framework for the regional facility location and development planning problem

2021 ◽  
Author(s):  
David Kik ◽  
Matthias Gerhard Wichmann ◽  
Thomas Stefan Spengler
Keyword(s):  
Decision Support ◽  
Facility Location ◽  
Future Orientation ◽  
Real Life ◽  
Development Planning ◽  
Major Influence ◽  
Location Decisions ◽  
Planning Problem ◽  
Location Factor ◽  
Decision Support Framework

AbstractLocation choice is a crucial planning task with major influence on a company’s future orientation and competitiveness. It is quite complex, since multiple location factors are usually of decision-relevance, incomparable, and sometimes conflictual. Further, ongoing urbanization is associated with locational dynamics posing major challenges for the regional location management of companies and municipalities. For example, respecting urban space as location factor, a scarcity growing over time leads to different assessment and requirements on a company’s behalf. For both companies and municipalities, there is a need for location development which implies an active change of location factor characteristics. Accordingly, considering locational dynamics is vital, as they may be decisive in the location decision-making. Although certain dynamics are considered within conventional Facility Location Problem (FLP) approaches, a systematic consideration of active location development is missing so far. Consequently, they may propagate long-term unfavorable location decisions, as major potentials associated with company-driven and municipal development measures are neglected. Therefore, this paper introduces a comprehensive decision support framework for the Regional Facility Location and Development planning Problem (RFLDP). It provides an operationalization of development measures, and thus anticipates dynamic adaptations to the environment. An established multi-criteria approach is extended to this new application. A complementary guideline ensures its meaningful applicability by practitioners. Based on a real-life case study, the decision support framework’s strength for practical application is demonstrated. Here, major advantages over conventional FLP approaches are highlighted. It is shown that the proposed methodology results in alternative location decisions which are structurally superior.

An easy-to-explain decision support framework for forensic analysis of dynamic signatures

2021 ◽  
Vol 38 ◽  
pp. 301216
Author(s):  
Daniela Mazzolini ◽  
Paolo Mignone ◽  
Patrizia Pavan ◽  
Gennaro Vessio
Keyword(s):  
Decision Support ◽  
Forensic Analysis ◽  
Decision Support Framework
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