scholarly journals Decision Support Systems for Smarter and Sustainable Logistics of Construction Sites

2019 ◽  
Vol 11 (10) ◽  
pp. 2762 ◽  
Author(s):  
Cindy Guerlain ◽  
Samuel Renault ◽  
Francesco Ferrero ◽  
Sébastien Faye
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Urban Areas ◽  
Building Materials ◽  
Support Systems ◽  
Decision Makers ◽  
Geographical Information ◽  
Public And Private ◽  
The Impact

Efficient logistics in urban areas is crucial for construction companies since building materials account for 30–40% of all construction costs and the space on site is highly constrained. To face these challenges, actions coming from both public and private decision-makers to find more sustainable solutions related to the distribution of building materials in urban areas become urgent. Although barely used in such contexts, can decision support systems be of support, and for who and for which purpose? This paper proposes a set of decision support systems addressing public and private decision-makers to improve the construction logistics and supply chain with evidence-based decision-making mechanisms. Those systems are, in particular, a public participatory geographical information system for determining the impact of policy measures, a consolidation center locator, a consolidation center planner, and an innovation measures selector. The paper explains how these decision support systems are settled and experimented from the analysis of pilot sites in European cities and in collaboration with the companies. Our diverse experiments demonstrate that data-driven decision-making is worth it to trigger thought on improvement measures for construction freight transport in urban area. We conclude that additional attention should be devoted to this specific sector.

scholarly journals The optimization model of the logging machinery usage in forestry practice

2009 ◽  
Vol 57 (6) ◽  
pp. 105-112 ◽  
Author(s):  
Jitka Janová ◽  
M. Lindnerová
Keyword(s):  
Decision Making ◽  
Czech Republic ◽  
Decision Support ◽  
Decision Support Systems ◽  
Optimization Model ◽  
Support Systems ◽  
Decision Problems ◽  
Optimization Models ◽  
Ongoing Research ◽  
The Impact

The decision support systems commonly used in industry and economy managerial practice for optimizing the processes are based on algoritmization of the typical decision problems. In Czech forestry business, there is a lack of developed decision support systems, which could be easily used in daily practice. This stems from the fact, that the application of optimization methods is less successful in forestry decision making than in industry or economy due to inherent complexity of the forestry decision problems. There is worldwide ongoing research on optimization models applicable in forestry decision making, but the results are not globally applicable and moreover the cost of possibly arising software tools are indispensable. Especially small and medium forestry companies in Czech Republic can not afford such additional costs, although the results of optimization could positively in­fluen­ce not only the business itself but also the impact of forestry business on the environment. Hence there is a need for user friendly optimization models for forestry decision making in the area of Czech Republic, which could be easily solved in commonly available software, and whose results would be both, realistic and easily applicable in the daily decision making.The aim of this paper is to develop the optimization model for the machinery use planning in Czech logging firm in such a way, that the results can be obtained using MS EXCEL. The goal is to identify the integer number of particular machines which should be outsourced for the next period, when the total cost minimization is required. The linear programming model is designed covering the typical restrictions on available machinery and total volume of trees to be cut and transported. The model offers additional result in the form of optimal employment of particular machines. The solution procedure is described in detail and the results obtained are discussed with respect to its applicability in practical forestry decision making. The possibility of extension of suggested model by including additional requirements is mentioned and the example for the wood manipulation requirement is shown.

How Groupware Systems Can Change How an Organisation Makes Decisions

2011 ◽  
pp. 426-433
Author(s):  
Frédéric Adam ◽  
Jean-Charles Pomerol ◽  
Patrick Brézillon
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Study Protocol ◽  
Support Systems ◽  
Decision Making Processes ◽  
The Impact

In this article, a newspaper company which has implemented a computerised editorial system is studied in an attempt to understand the impact that groupware systems can have on the decision making processes of an organisation. First, the case study protocol is presented, and the findings of the case are described in detail. Conclusions are then presented which pertain both to this case and to the implementation of decision support systems that have a groupware dimension.

The Decision Hedgehog

2011 ◽  
pp. 148-154
Author(s):  
Patrick Humphreys
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Group Decision ◽  
Support Systems ◽  
Group Decision Support ◽  
Group Decision Support Systems ◽  
Decision Systems ◽  
Perceived Need ◽  
The Impact

The discourses established as the foundations of group decision support systems (GDSS) have been called into question not only in the interests of advancing the academic GDSS field (Bannon, 1997), but also out of the perceived need to plug gaps that sophisticated GDSS systems throw up in practice (Huber, 1981; Humphreys & Brezillon, 2002; Humphreys & Jones, 2006; Stabell, 1987). The limitations of rational perspectives of “decision- making as choice” have been raised (Carlsson, 2002; Cyert & March, 1992; Nappelbaum, 1997). The challenges relate to failures of implementation, the rise of unintended outcomes, the impact of cultures of fear and failure within organisations (Humphreys & Nappelbaum, 1997), and problems associated with externalisation of decision systems designers who “play God” by designing from outside the game for those who are inside (Humphreys, 1989).

scholarly journals Communication and Decision Support Systems

2021 ◽  
Vol 11 (4) ◽  
pp. 397-407
Author(s):  
Luigi Palestini
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Communication Systems ◽  
New Technologies ◽  
Support Systems ◽  
Just In Time ◽  
Strategic Decisions ◽  
Voice Data ◽  
The Impact

In emergencies, assessment and communication activities are particularly important for the support of the top decision-making bodies, to evaluate “just in time” the best actions to be taken. The multiple problems to be solved require specific skills in different areas. Upon the occurrence of a calamity, the authorities must answer questions such as “is a given place safe from the threat (e.g., an oncoming flood)?”, that’s why today knowledge of tools that can support decision-making is increasingly necessary: the so-called Decision Support Systems (DSS), software that allow users to improve situation assessment, helping all those who must make strategic decisions. Hand in hand with the growing interest in DSS there is an increasing use of communication systems based on IT. First responders know that to face an emergency everything must be prepared and planned, also communication. In fact, DSS and voice/data transmission systems are often integrated into a single system, as proposed by the European projects FIRE IN and IN PREP, because managing information is crucial for carrying out rescue activities in the best possible way. This work describes the impact of new technologies on rescue and emergency management in Italy and Europe, highlighting the challenges associated with their use.

The forest management decision support system project

1991 ◽  
Vol 67 (6) ◽  
pp. 622-628 ◽  
Author(s):  
Dan Bulger ◽  
Harold Hunt
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Decision Makers ◽  
Management Decision ◽  
Management Decision Support

The focus of a decision support system is much different from Management Information Systems (MIS) and data-based "decision support systems". Decision support systems, as defined by the authors, focus on decisions and decision makers, and on information. Technology is treated as a tool and data as the raw material. In many traditional systems the focus is on the technology, and the data is the "information", while decision makers are, to some extent, externalized.The purpose of the Forest Management Decision Support System (FMDSS) project is to develop a set of software tools for creating forest management decision support systems. This set of tools will be used to implement a prototype forest management decision support system for the Plonski forest, near Kirkland Lake, Ontario.There are three critical ingredients in building the FMDSS, these are: (1) knowledge of the decision making process, (2) knowledge of the forest, and (3) the functionality of underlying support technology. The growing maturity of the underlying technology provides a tremendous opportunity to develop decision support tools. However, a significant obstacle to building FMDSS has been the diffuse nature of knowledge about forest management decision making processes, and about the forest ecosystem itself. Often this knowledge is spread widely among foresters, technicians, policy makers, and scientists, or is in a form that is not easily amenable to the decision support process. This has created a heavy burden on the project team to gather and collate the knowledge so that it could be incorporated into the function and design of the system. It will be difficult to gauge the success of this exercise until users obtain the software and begin to experiment with its use.

scholarly journals Appropriate Information Technology In Emerging Economies: An Application For Strategic Decision-Making In Manufacturing Industries

2011 ◽  
Vol 3 (4) ◽  
Author(s):  
Mehdi Beheshtian Ardakani ◽  
Mohsen Modarres ◽  
Ahmad Ispahani
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Emerging Economies ◽  
Support Systems ◽  
Strategic Decision ◽  
Top Executives ◽  
The Impact

Competing in global marketplace has pressured managers respond to shifting market trends by increasing product quality, business process reengineering, and decreasing time to market for new products. Within emerging economies top executives have realized that adoption of appropriate information technologies such a decision support systems (DSS) and group decision support systems (GDSS) have led to changes in the existing organizational structure and communication mechanisms. This paper explores the advantages and constraints of DSS and GDSS in formulating manufacturing strategies in emergent economies. We argued that to fit appropriate information technology to organizational design top executive would benefit from strategic information systems planning process. This process enables top executives to invest in appropriate information system that fits their structural arrangements and organizational culture. Moreover, we explored the impact of DSS and GDSS on executive decision-making capabilities. We also explored the methodology for implementation of appropriate information systems in manufacturing firms in emergent economies.

Basic positions of support of decision making in management of fire departments

2021 ◽  
Vol 93 ◽  
pp. 88-102
Author(s):  
A. A. Aparin ◽  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Fire Protection ◽  
Support Systems ◽  
Decision Makers ◽  
Economic Systems ◽  
Management Support ◽  
Definition Of ◽  
Decision Support Process

Introduction. The article is devoted to the study of the features of managerial decision-making in complex socio-economic systems in the context of fire and rescue units management. The article deals with the decomposition of the decision-making process into the main elements and provides a thematic analysis of each of them. The author's classification of decision-makers on the fire from among the main positions and non-regular officials of the garrison is presented. The tasks of the research are to analyze the current state of the basic conceptual apparatus of the theory of decision support in the management of fire protection units and to formulate the most general approach to the definition of the decision support process. Methods. The analysis of Russian- and English-language literary, normative and statistical sources of information on the topic under consideration is carried out. The result of the decomposition and synthesis of the analyzed information is tables, figures and diagrams, as well as explanations to them. The author also compares the approaches to decision-making from the Russian-language management theory with the results of empirical studies conducted abroad. Results and discussion. A theoretical review of the basic provisions of the theory of decision support with an appeal to the features inherent in the process of managing fire protection units is carried out. The author presents the results of a retrospective analysis of the development of approaches to the definition of the concepts of "decision support system" and "management support", as well as the definition of the term "support of decision making". Conclusions. Based on the results of the study, a hypothesis is formulated that at the stage of development of specialized decision support systems for decision makers, a synthesis between different approaches will remain. Keywords: decision support systems, management support, decision support, fire department management, complex socio-economic systems

Mathematical Models Generators of Decision Support Systems for Help in Case of Catastrophes

2011 ◽  
pp. 201-220 ◽  
Author(s):  
José G. R. Hernández ◽  
María J. G. García
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Mathematical Models ◽  
Decision Support Systems ◽  
Support Systems ◽  
Private University ◽  
The State ◽  
The Moment ◽  
The Impact

Immediately after the catastrophes that affected Venezuela at the end of 1999, especially the flood of the State of Vargas, a group of investigators of a consultancy company and of a private university of Caracas Venezuela, started working in decisions support systems (DSS) that could be useful in the moment of a catastrophe, helping to minimize the impact of its three principal stages: Pre-catastrophe, Impact and Post-catastrophe. Clearly, for the development of these DSS, it was indispensable to construct mathematical models to support them. The objective of this chapter is to disclose this experience by presenting some of these mathematical models and its conversion in DSS that supports decision making in the case of catastrophes.

How Groupware Systems Can Change How an Organisation Makes Decisions

2009 ◽  
pp. 887-896
Author(s):  
Frédéric Adam ◽  
Jean-Charles Pomerol ◽  
Patrick Brézillon
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Study Protocol ◽  
Support Systems ◽  
Decision Making Processes ◽  
The Impact

In this article, a newspaper company which has implemented a computerised editorial system is studied in an attempt to understand the impact that groupware systems can have on the decision making processes of an organisation. First, the case study protocol is presented, and the findings of the case are described in detail. Conclusions are then presented which pertain both to this case and to the implementation of decision support systems that have a groupware dimension.

scholarly journals Technical Approach of TOPSIS in Decision Making

2017 ◽  
Author(s):  
Andysah Putera Utama Siahaan ◽  
Mesran Mesran ◽  
Robbi Rahim
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Decision Makers ◽  
Ideal Solution ◽  
Technical Approach ◽  
Order Preference

Stages of decision making done by the manager is a crucial stage. Given the resulting decisions affect the sustainability of the organization, then many managers use systems that can support the resulting decisions. This system is known as the decision support system, which applies to solving a problem, using methods such as ELECTRE, Promethee, SAW, TOPSIS. Using decision support systems makes it easy for decision-makers to add new data, change data and make decisions more efficiently. In this article, the method used is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).

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