scholarly journals Feasibility of using existing web services for on-demand data access within distributed environmental decision support systems

2017 ◽  
Vol 20 (2) ◽  
pp. 263-280
Author(s):  
Stuart F. Sheffield ◽  
Jonathan L. Goodall ◽  
Mohamed M. Morsy ◽  
Alexander B. Chen
Keyword(s):  
Decision Support ◽  
Web Services ◽  
Decision Support Systems ◽  
Support Systems ◽  
Response Times ◽  
Data Access ◽  
The United States ◽  
Environmental Data ◽  
Project Area ◽  
On Demand

Abstract Web services providing machine-accessible interfaces to environmental data are now commonplace. Building on this, a current trend is to expand these web services to provide on-demand access to model and analysis services. This progression suggests the future possibility of cloud-based decision support systems (DSSs) integrating distributed data and analysis services delivered through a host of providers. Such distributed environmental DSSs have many potential benefits, but would require highly scalable and responsive web services. The objective of this study is to assess the current feasibility of building distributed environmental DSSs from existing web services in the United States. Results show that, of the many available web services providing information about soils, river network topology, watersheds, streamflow, etc., response times are often only a few seconds for a small project area, but can grow exponentially as the project area increases. On-demand watershed delineation remains a slow-to-respond service relative to the other services tested. Also, the results suggest the need to better co-locate servers near client applications to speed up response times. Collectively, these results provide specific areas where future research is needed in order to achieve the vision of on-demand distributed environmental DSSs.

Benefits of Information Technology Implementations for Supply Chain Management

2010 ◽  
pp. 323-343
Author(s):  
Prashant R. Nair
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Web Services ◽  
Electronic Commerce ◽  
Decision Support Systems ◽  
Support Systems ◽  
Software Agents ◽  
Chain Management

The usage of Information Technology (IT) in organizations across the supply chain has become a determinant of competitive advantage for many corporations. This chapter focuses on the usage of IT tools for Supply Chain Management (SCM). It also highlights the contribution of IT in helping restructure the entire distribution set-up to achieve higher service levels, lower inventory, and lower supply chain costs. An overview and tangible benefits of the existing IT tools, which are widely deployed, is provided with focus on existing configuration considerations, available applications, and deployments in India. The role of existing communication technologies in making IT an enabler of SCM, is highlighted by addressing a range of different point and enterprise solutions in a variety of supply chain settings. Critical IT demonstrations and implementations in SCM are discussed. Fundamental changes have occurred in today’s global economy. These changes alter the relationship that we have with our customers, our suppliers, our business partners, and our colleagues. Reflection on the evolving and emerging IT trends like software agents, RFID, web services, virtual supply chains, electronic commerce, and decision support systems, further highlights the importance of IT in the context of increasingly global competition. The rapid adoption of the Internet for communication with all stakeholders, seems to reflect the potential of the new-age communication media. It has also been observed that several progressive Indian companies are extensively using emerging tools like virtual supply chains, web services, RFID, and electronic commerce to shore up their supply chain operations. However, adoption of tools like software agents and decision support systems for supply chain integration by Indian companies, is limited.

Benefits of Information Technology Implementations for Supply Chain Management

2011 ◽  
pp. 596-616
Author(s):  
Prashant R. Nair
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Web Services ◽  
Electronic Commerce ◽  
Decision Support Systems ◽  
Support Systems ◽  
Software Agents ◽  
Chain Management

The usage of Information Technology (IT) in organizations across the supply chain has become a determinant of competitive advantage for many corporations. This chapter focuses on the usage of IT tools for Supply Chain Management (SCM). It also highlights the contribution of IT in helping restructure the entire distribution set-up to achieve higher service levels, lower inventory, and lower supply chain costs. An overview and tangible benefits of the existing IT tools, which are widely deployed, is provided with focus on existing configuration considerations, available applications, and deployments in India. The role of existing communication technologies in making IT an enabler of SCM, is highlighted by addressing a range of different point and enterprise solutions in a variety of supply chain settings. Critical IT demonstrations and implementations in SCM are discussed. Fundamental changes have occurred in today’s global economy. These changes alter the relationship that we have with our customers, our suppliers, our business partners, and our colleagues. Reflection on the evolving and emerging IT trends like software agents, RFID, web services, virtual supply chains, electronic commerce, and decision support systems, further highlights the importance of IT in the context of increasingly global competition. The rapid adoption of the Internet for communication with all stakeholders, seems to reflect the potential of the new-age communication media. It has also been observed that several progressive Indian companies are extensively using emerging tools like virtual supply chains, web services, RFID, and electronic commerce to shore up their supply chain operations. However, adoption of tools like software agents and decision support systems for supply chain integration by Indian companies, is limited.

Historical Overview of Decision Support Systems (DSS)

2011 ◽  
pp. 1753-1758 ◽  
Author(s):  
Udo Richard Averweg
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
United States Of America ◽  
Support Systems ◽  
The United States ◽  
Future Trends ◽  
Historical Overview ◽  
Essential Information ◽  
Organizational Perspective ◽  
The Subject

During the late 1970s the term “decision support systems” was first coined by P. G. W. Keen, a British Academic then working in the United States of America. In 1978, Keen and Scott Morton published a book entitled, Decision Support Systems: An Organizational Perspective (Keen & Scott Morton, 1978), wherein they defined the subject title as computer systems having an impact on decisions where computer and analytical aids can be of value but where the manager’s judgment is essential. Information systems (IS) researchers and technologists have developed and investigated decision support systems (DSS) for more than 35 years (Power, 2003b). The structure of this article is as follows: The background to DSS will be given. Some DSS definitions, a discussion of DSS evolution, development of the DSS field and frameworks are then presented. Some future trends for DSS are then suggested.

scholarly journals An interactive online database for the selection of woody ornamental plants

2003 ◽  
Vol 13 (3) ◽  
pp. 562-568
Author(s):  
Jonathan M. Lehrer ◽  
Mark H. Brand
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Survey Data ◽  
Web Site ◽  
Support Systems ◽  
Ornamental Plants ◽  
The United States ◽  
Online Questionnaire ◽  
Woody Ornamental ◽  
Strongly Agree

Web sites such as the University of Connecticut (UConn) Plant Database allow large volumes of information and images to be stored, published and accessed by users for the purpose of informed decision-making. Sorting information on the World Wide Web (Web) can be difficult, especially for novice users and those interested in quick results. The advent of Internet search and retrieval software fosters the creation of interactive decision support systems. The Plant Selector was designed to complement the UConn Plant Database plant encyclopedia by allowing Web site users to generate lists of woody ornamental plants that match specific criteria. On completion of an HTML-based search form by users, a Web-enabled database is searched and lists of matching plants are presented for review. To facilitate analysis of the Plant Selector's efficacy, an online questionnaire was implemented to solicit user feedback. Survey data from 426 responses to the online evaluation tool were analyzed both to understand user demographics and gauge satisfaction with the Plant Selector module. Survey data revealed that most Plant Selector users are between 40 to 65 years of age and homeowners with minimal horticultural experience. A large percentage of Web site visitors (68%) is located across the United States beyond Connecticut and the New England region. The great majority of survey respondents (65%) use this tool to select plants for the home landscape. Most (77%) either agree or strongly agree that the Plant Selector is easy to use and delivers results that are useful (66%), while 70% agree or strongly agree that the categories used by the Plant Selector are sufficient. The survey results in general suggest that Web-based decision support systems may serve useful roles in the field of horticulture education.

scholarly journals The Human Dimensions of Spatial, Pre-Wildfire Planning Decision Support Systems: A Review of Barriers, Facilitators, and Recommendations

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 483
Author(s):  
Melanie Colavito
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
The United States ◽  
Human Dimensions ◽  
Wildfire Risk ◽  
Forest Fuels ◽  
Fuels Treatment ◽  
Wildfire Planning

Decision support systems (DSSs) are increasingly common in forest and wildfire planning and management in the United States. Recent policy direction and frameworks call for collaborative assessment of wildfire risk to inform fuels treatment prioritization using the best available science. There are numerous DSSs applicable to forest and wildfire planning, which can support timely and relevant information for decision making, but the use and adoption of these systems is inconsistent. There is a need to elucidate the use of DSSs, specifically those that support pre-wildfire, spatial planning, such as wildfire risk assessment and forest fuels treatment prioritization. It is important to understand what DSSs are in use, barriers and facilitators to their use, and recommendations for improving their use. Semi-structured interviews with key informants were used to assess these questions. Respondents identified numerous barriers, as well as recommendations for improving DSS development and integration, specifically with respect to capacity, communication, implementation, question identification, testing, education and training, and policy, guidance, and authorities. These recommendations can inform DSS use for wildfire risk assessment and treatment prioritization to meet the goals of national policies and frameworks. Lastly, a framework for organizing spatial, pre-wildfire planning DSSs to support end-user understanding and use is provided.

TEA

2012 ◽  
Vol 3 (3) ◽  
pp. 41-63 ◽  
Author(s):  
Zhaohao Sun ◽  
Grant Meredith ◽  
Andrew Stranieri
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Web Services ◽  
Research And Development ◽  
Decision Support Systems ◽  
Support Systems ◽  
Decision Makers ◽  
Generic Framework

This paper proposes TEA: a generic framework for decision making in web services, which integrates the environment (6 Ps) of decision making, the behaviors (6 Cs) of decision makers, and inner activities (another 6 Ps) of decision makers. This framework unifies what the decision makers can “eye” (the above-mentioned first 6Ps), should “think” (the above-mentioned another 6 Ps) and “act” (6 Cs), whenever making decisions in web services. The paper also examines interrelationships among the first 6 Ps, 6 Cs, and another 6Ps, and their influences on decision making in web services. The proposed approach will facilitate research and development of decision making and decision support systems in web services.

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