Computer Aided Facility Management (CAFM) as a New Branch of Decision Making Support Technologies in the Field of Facility Management

2011 ◽  
pp. 84-92 ◽  
Author(s):  
Thomas Madritsch ◽  
Michael May ◽  
Herwig Ostermann ◽  
Roland Staudinger
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Tool ◽  
Facility Management ◽  
Point Of View ◽  
Information And Communications Technology ◽  
Industrialized Countries ◽  
Support Tool ◽  
Computer Aided ◽  
Recent Developments

Nowadays facility management (FM) and real estate activities contribute to about 5-10% of the gross domestic product (GDP) of advanced industrialized countries. For example the total value of FM activity including support services is about 8.2% UK GDP (Harris, 2002). Computer aided facility management (CAFM) software is a new class of information and communications technology (ICT) tools to support management in the preparation of relevant data in the decision making process especially in the area of illustration, evaluation, and control of relevant FM structures and processes. Recently, CAFM tools are developing from simple information systems to multifunctional decision support systems (DSSs) for private as well as public organizations. Until now however, little attention has been given to this relevant change in business and academic communities. At the same time numerous software systems with various systematic approaches, functions, and varying success have been established on the market. Despite the multitude of suppliers and users in the different branches uncertainty concerning the procedures and achievable effects still prevails. This is closely related to the lack of well-documented, transparent, and successful case studies. In addition, little is known about how CAFM can be implemented successfully and the factors leading to its sustainable success. From an economic point of view it is very important to support this process in order to avoid wrong decisions and unnecessary investment. In particular, implementation strategies and formulae for success are of great interest (May, 2002). The purpose of this chapter is to describe the relevance of CAFM as a decision support tool in the field of FM. The authors will illustrate the recent developments and market demands of FM and CAFM. The main part will provide an overview on the basic concept as well as building management, for example, CAFM and give detailed insight into the topic and how CAFM may serve as a DSS from an organizational perspective. The next part will introduce some examples of good practices. The chapter closes with an overview of future developments, trends, and research opportunities of CAFM as a decision support tool.

scholarly journals An integrated custom decision-support computer aided facility management informative system for healthcare facilities and analysis

2019 ◽  
Vol 10 (1) ◽  
pp. 135-145 ◽  
Author(s):  
Ernesto Iadanza ◽  
Alessio Luschi
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Healthcare Facility ◽  
Facility Management ◽  
Third Party ◽  
Complete Analysis ◽  
Support Tool ◽  
Healthcare Facilities ◽  
Computer Aided ◽  
System Maps

Abstract This article presents a Computer Aided Facility Management informative system which can output Key Performance Indicators and quantitative parameters about the analysed healthcare facility. The designed system is a self-sufficient application able to manage and analyse digital plans of hospital buildings with no need of third-party plugins or licenses. The system maps hospital’s inner organisation, destinations of use and environmental comforts giving quantitative, qualitative and graphical reports. The core database is linked to other existing hospital databases, so that the system can act as a central control cockpit. Outputs can be used by top-management and decisional staff as a decision-support tool in order to improve hospital’s structure and organisation and to reduce the major workflow risks. Furthermore, many plug-ins and modules have been developed through the years which can be easily linked to the main application thanks to its REST architecture, and which contribute to a complete analysis and management of the healthcare facilities.

scholarly journals Video decision support tool promoting values conversations in advanced care planning in cancer: protocol of a randomised controlled trial

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Natasha Michael ◽  
Clare O’Callaghan ◽  
Ekavi Georgousopoulou ◽  
Adelaide Melia ◽  
Merlina Sulistio ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Cancer Patients ◽  
Personal Values ◽  
Decision Support Tool ◽  
Trial Registration ◽  
Randomised Control Trial ◽  
Care Planning ◽  
Advanced Directives ◽  
Support Tool

Abstract Background Views on advance care planning (ACP) has shifted from a focus solely on treatment decisions at the end-of-life and medically orientated advanced directives to encouraging conversations on personal values and life goals, patient-caregiver communication and decision making, and family preparation. This study will evaluate the potential utility of a video decision support tool (VDST) that models values-based ACP discussions between cancer patients and their nominated caregivers to enable patients and families to achieve shared-decisions when completing ACP’s. Methods This open-label, parallel-arm, phase II randomised control trial will recruit cancer patient-caregiver dyads across a large health network. Previously used written vignettes will be converted to video vignettes using the recommended methodology. Participants will be ≥18 years and be able to complete questionnaires. Dyads will be randomised in a 1:1 ratio to a usual care (UC) or VDST group. The VDST group will watch a video of several patient-caregiver dyads communicating personal values across different cancer trajectory stages and will receive verbal and written ACP information. The UC group will receive verbal and written ACP information. Patient and caregiver data will be collected individually via an anonymous questionnaire developed for the study, pre and post the UC and VDST intervention. Our primary outcome will be ACP completion rates. Secondarily, we will compare patient-caregiver (i) attitudes towards ACP, (ii) congruence in communication, and (iii) preparation for decision-making. Conclusion We need to continue to explore innovative ways to engage cancer patients in ACP. This study will be the first VDST study to attempt to integrate values-based conversations into an ACP intervention. This pilot study’s findings will assist with further refinement of the VDST and planning for a future multisite study. Trial registration Australian New Zealand Clinical Trials Registry No: ACTRN12620001035910. Registered 12 October 2020. Retrospectively registered.

Creation of a Community-Driven Decision Support Tool for Caregivers of Children With Developmental Concerns

2021 ◽  
pp. 1-11
Author(s):  
Dawn M. Magnusson ◽  
Irena Shwayder ◽  
Natalie J. Murphy ◽  
Lindsay Ollerenshaw ◽  
Michele Ebendick ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Shared Decision Making ◽  
Service Use ◽  
Decision Support Tool ◽  
Cultural Humility ◽  
Shared Decision ◽  
Plain Language ◽  
Support Tool ◽  
Key Aspects

Purpose Despite increasing standardization of developmental screening and referral processes, significant early intervention service disparities exist. The aims of this article are to: (a) describe methods used to develop a decision support tool for caregivers of children with developmental concerns, (b) summarize key aspects of the tool, and (c) share preliminary results regarding the tool's acceptability and usability among key stakeholders. Method Content and design of the decision support tool was guided by a systematic process outlined by the International Patient Decision Aid Standards (IPDAS) Collaborative. Three focus group interviews were conducted with caregivers ( n = 7), early childhood professionals ( n = 28), and a mix of caregivers and professionals ( N = 20) to assess caregiver decisional needs. In accordance with the IPDAS, a prototype of the decision support tool was iteratively cocreated by a subset of caregivers ( n = 7) and early child health professionals ( n = 5). Results The decision support tool leverages images and plain language text to guide caregivers and professionals along key steps of the early identification to service use pathway. Participants identified four themes central to shared decision making: trust, cultural humility and respect, strength-based conversations, and information-sharing. End-users found the tool to be acceptable and useful. Conclusions The decision support tool described offers an individualized approach for exploring beliefs about child development and developmental delay, considering service options within the context of the family's values, priorities, and preferences, and outlining next steps. Additional research regarding the tool's effectiveness in optimizing shared decision-making and reducing service use disparities is warranted.

Multivariable Automatisierungsentscheidungen*/Multivariate automation decisions – A tool for cost-benefit assessments as a basis for decision-making

2019 ◽  
Vol 109 (03) ◽  
pp. 134-139
Author(s):  
P. Burggräf ◽  
J. Wagner ◽  
M. Dannapfel ◽  
K. Müller ◽  
B. Koke
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Environmental Conditions ◽  
Cost Benefit ◽  
Decision Support Tool ◽  
Decision Making Process ◽  
Support Tool ◽  
Cost And Benefit ◽  
Benefit Evaluation ◽  
Level Of Automation

Der wachsende Bedarf an Wandlungsfähigkeit führt zu einer höheren Frequenz in der Umplanung von Montagesystemen und erfordert eine kontinuierliche Überprüfung und Anpassung des Automatisierungsgrades. Um auch die komplexen Umgebungsbedingungen abzubilden, sollen nicht-monetäre Faktoren in den Entscheidungsprozess eingebunden werden. Um die Entscheidung zu unterstützen, stellt dieser Beitrag ein Tool zur Identifizierung und Bewertung von Automatisierungsszenarien mittels einer Nutzwert-Aufwand-Analyse vor.   The increasing need for adaptability in assembly leads to a higher planning frequency of the system and requires continuous checks and adaptations of the appropriate level of automation. To account for the complex environmental conditions, non-monetary factors are included in the decision-making process. This paper presents a decision support tool to identify and evaluate automation scenarios by means of cost and benefit evaluation.

Predictive data analytics for contract renewals: a decision support tool for managerial decision-making

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Serhat Simsek ◽  
Abdullah Albizri ◽  
Marina Johnson ◽  
Tyler Custis ◽  
Stephan Weikert
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Organizational Performance ◽  
Predictive Analytics ◽  
Design Science ◽  
Decision Support Tool ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Content Type ◽  
Support Tool

PurposePredictive analytics and artificial intelligence are perceived as significant drivers to improve organizational performance and managerial decision-making. Hiring employees and contract renewals are instances of managerial decision-making problems that can incur high financial costs and long-term impacts on organizational performance. The primary goal of this study is to identify the Major League Baseball (MLB) free agents who are likely to receive a contract.Design/methodology/approachThis study used the design science research paradigm and the cognitive analytics management (CAM) theory to develop the research framework. A dataset on MLB's free agents between 2013 and 2017 was collected. A decision support tool was built using artificial neural networks.FindingsThere are clear links between a player's statistical performance and the decision of the player to sign a new offered contract. “Age,” “Wins above Replacement” and “the team on which a player last played” are the most significant factors in determining if a player signs a new contract.Originality/valueThis paper applied analytical modeling to personnel decision-making using the design science paradigm and guided by CAM as the kernel theory. The study employed machine learning techniques, producing a model that predicts the probability of free agents signing a new contract. Also, a web-based tool was developed to help decision-makers in baseball front offices so they can determine which available free agents to offer contracts.

scholarly journals TOWARDS A DECISION SUPPORT TOOL FOR 3D VISUALISATION: APPLICATION TO SELECTIVITY PURPOSE OF SINGLE OBJECT IN A 3D CITY SCENE

2017 ◽  
Vol IV-4/W5 ◽  
pp. 91-97 ◽  
Author(s):  
R. Neuville ◽  
J. Pouliot ◽  
F. Poux ◽  
P. Hallot ◽  
L. De Rudder ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
3D Models ◽  
Point Of View ◽  
Decision Table ◽  
Methodological Framework ◽  
Support Tool ◽  
3D Visualisation ◽  
3D Environment ◽  
Environment Parameters

This paper deals with the establishment of a comprehensive methodological framework that defines 3D visualisation rules and its application in a decision support tool. Whilst the use of 3D models grows in many application fields, their visualisation remains challenging from the point of view of mapping and rendering aspects to be applied to suitability support the decision making process. Indeed, there exists a great number of 3D visualisation techniques but as far as we know, a decision support tool that facilitates the production of an efficient 3D visualisation is still missing. This is why a comprehensive methodological framework is proposed in order to build decision tables for specific data, tasks and contexts. Based on the second-order logic formalism, we define a set of functions and propositions among and between two collections of entities: on one hand static retinal variables (hue, size, shape…) and 3D environment parameters (directional lighting, shadow, haze…) and on the other hand their effect(s) regarding specific visual tasks. It enables to define 3D visualisation rules according to four categories: consequence, compatibility, potential incompatibility and incompatibility. In this paper, the application of the methodological framework is demonstrated for an urban visualisation at high density considering a specific set of entities. On the basis of our analysis and the results of many studies conducted in the 3D semiotics, which refers to the study of symbols and how they relay information, the truth values of propositions are determined. 3D visualisation rules are then extracted for the considered context and set of entities and are presented into a decision table with a colour coding. Finally, the decision table is implemented into a plugin developed with three.js, a cross-browser JavaScript library. The plugin consists of a sidebar and warning windows that help the designer in the use of a set of static retinal variables and 3D environment parameters.

scholarly journals Development of Decision Support Tool for Evaluation of Urban Water System Metabolism Efficiency

10.29007/r6xs ◽  
2018 ◽  
Author(s):  
Vladimir Nikolic ◽  
Darko Joksimovic
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Development Process ◽  
Decision Support Tool ◽  
Integrated Approach ◽  
Water Systems ◽  
Life Cycles ◽  
Urban Water ◽  
Support Tool ◽  
Sustainable Solutions

The revitalization of Toronto’s waterfront presents the largest urban redevelopment project currently underway in North America. With respect to planning the waterfront’s urban water systems (UWS), a number of studies considered a range of criteria in search for sustainable alternatives. However, a comprehensive assessment of the integrated source-drinking-wastewater-stormwater systems over their life cycles has not been developed. According to the main postulates of the integrated approach, hybrid water systems can offer potentially more sustainable solutions than traditional centralized systems. This paper discusses the development process of a decision support tool designed to facilitate evaluation of alternatives based on UWS metabolism concept while addressing some typical challenges of hydroinformatics. This decision-making support tool analyses and compares the sustainability performance of alternative decentralized solutions against a baseline conventional approach on a neighbourhood level. The tool uses a set of criteria, adopted by the large group of stakeholders involved in the development process, that are not typically considered in the decision-making process, such as energy savings, greenhouse gas (GHG) emissions, climate change resiliency, chemical use, and nutrient recovery.

Developing Training Tools for Clinicians in LICs: Using Hidden Markov Modeling to Study the Decision-Making Strategies of Expert and Novice Prosthetists

2020 ◽  
Author(s):  
Pratima Saravanan ◽  
Michael Walker ◽  
Jessica Menold
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Low Income ◽  
Decision Support Tool ◽  
Low Income Countries ◽  
Controlled Study ◽  
Clear Understanding ◽  
Care Providers ◽  
Support Tool ◽  
Expert And Novice

Abstract Approximately, 40 million amputees reside in the rural parts of Low-Income Countries (LICs), and 95% of this population do not have proper access to prosthetic devices and rehabilitation services. A proper prosthetic prescription requires a clear understanding of the patient’s ambulation, goals, cultural and societal norms, locally available prosthetic materials, etc., which can be accomplished only by a local prosthetist. However, due to the lack of prosthetic schools and training centers in LICs, the rural parts lack well-trained amputee care providers. Hence there is a need to educate the prosthetists and prosthetic technicians in the LIC, specifically in the rural regions. To accomplish this, the current research proposes a decision-support tool to aid decision-making during prescription and educate prosthetists. A controlled study was conducted with expert and novice prosthetists to compare effective decision-making strategies. Results suggest that experts leverage distinct decision-making strategies when prescribing prosthetic and orthotic devices; in comparison, novices exhibited less consistent patterns of decision-making tendencies. By modeling the decision-making strategies of expert prosthetists, this work lays the foundation to develop an automated decision support tool to support decision-making for prosthetists in LICs, improving overall amputee care.

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