THE APPLICATION OF MULTI-CRITERIA ANALYSIS TO DECISION SUPPORT FOR THE FACILITY MANAGEMENT OF A RESIDENTIAL DISTRICT

2003 ◽  
Vol 9 (4) ◽  
pp. 241-252 ◽  
Author(s):  
Tatjana Vilutienė ◽  
Edmundas Kazimieras Zavadskas
2003 ◽  
Vol 9 (4) ◽  
pp. 241-252 ◽  
Author(s):  
Tatjana Vilutienė ◽  
Edmundas Kazimieras Zavadskas

The article deals with the problem of dwelling maintenance. In this paper the process of building maintenance in Lithuania is analysed, the activities of subjects carrying out maintenance work described, and a comparison of maintenance variants was made applying the methods WSM, WPM, AHP, Revised AHP and Topsis. A method of multi- criteria complex proportional evaluation of the projects was also applied for determining the efficient variant and the degree of its utility. The analysis of the application of the multi-criteria methods for solving the problems with multiple objectives was also made. In striving to prolong the existence of buildings the professional use of a property should be ensured. The article presents a model of property management with the participation of monitoring organisations. This model helps ensure a more effective facilities management process and the work quality in dwellings.


2021 ◽  
Vol 2 (3) ◽  
pp. 243
Author(s):  
Jaka Sepridho ◽  
Irfan Sudahri Damanik ◽  
Harly Okprana

Pematangsiantar Mayor Office is an institution that is used and functions to serve and protect the community. This paper proposes a decision support system research using the Promethee method. Promethee is one of several methods of determining the order or priority in multi-criteria analysis. This writing uses the Promethee method as a step in determining the provision of incentives for freelance daily staff at the Pematangsiantar Mayor's Office. In this study the authors took 10 alternatives with 5 assessment criteria including absenteeism, achievement, behavior, long history of work and teamwork. With the highest result obtained by alternative 9 on behalf of Triono with a value of 0.422 and the lowest result obtained by alternative 6 on behalf of Soraya with a value of -0.211.


2019 ◽  
Vol 10 (1) ◽  
pp. 135-145 ◽  
Author(s):  
Ernesto Iadanza ◽  
Alessio Luschi

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.


10.29007/xxx9 ◽  
2018 ◽  
Author(s):  
Abiodun Abisuga ◽  
Imriyas Kamardeen ◽  
Cynthia Wang

Higher education institutions (HEIs) infrastructure asset is a complex and massive investment, with high operational and management cost. The functionality of this infrastructure facility is paramount to the performance and well-being of its users. The effective and efficient operation and management of this facility required adequate knowledge and collaboration of all stakeholders. This study is a preliminary part of a research aim to adopt socioBIM for HE facilities users and facility management (FM) section, to interact with their learning environment and enhance collaborative practice to improve facility intelligence. The study method explores the advancement in building information modelling, decision support systems, and integrator networks based on grounded theory. Conceptually, the adoption of socioBIM reflects an enhancement of users' facility literacy, stakeholder’s participation and FM organisational intelligence within HEIs. These will culminate to stakeholder’s satisfaction and competitive advantage. Further study is also needful in the efficacy of socioBIM adoption.


2019 ◽  
Vol 17 (3) ◽  
pp. 249-266
Author(s):  
Michael A. Beauregard ◽  
Steven K. Ayer

Purpose The discretionary expense budget required to maintain public infrastructure has declined in recent years, even as public expectations and accountability for performance have increased. The purpose of this paper is to leverage previously reported research to create a decision support tool (DST) for prioritizing institutional facility maintenance. Design/methodology/approach A structured literature review was developed to identify critical aspects of facility maintenance shown to have a positive relationship with academic performance in K-12 schools within the USA. Analytical hierarchy process (AHP) serves as a framework for a multi-criteria DST based on the findings of the literature review. Finally, a targeted focus group of industry professionals was used to validate the usability of the resulting DST. Findings The framework for the DST developed for this study effectively represents the scale and scope of an institutional facility. Results of the study suggest that when evaluating multi-criteria work orders, the proposed visual AHP methodology can be used to generate usable DSTs to assist with the prioritization of work. Practical implications This study provides a methodology for building a multi-criterion DST leveraging precedent research, using a visual AHP to assist facility management (FM) decision-makers in the prioritization of routine work orders. Originality/value The developed process indicates a practical approach to incorporating disparate research findings into a concise and useable manner to guide FM decision-makers, who have traditionally not been able to explicitly leverage this information to make evidence-based spending decisions.


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