scholarly journals Constraint Programming Approach for Optimizing Business Asset Maintenance Strategy

Author(s):  
Gilang Ramadhan ◽  
Shu Shun Liu

There are many buildings with various conditions in Indonesia and some of them are not in finest conditions that need maintenance treatment urgently. The absence of building maintenance decision-making tool and limited budget are among main factors that cause unmanageable maintenance program. Therefore, this study has been conducted to propose an optimization model that is capable to determine the most appropriate building maintenance treatment. This study applied Constraint Programming (CP) approach to select the most economical maintenance treatment for a certain building and to allocate annual maintenance budget. CP-based model in this study subjects to constraint of budget and targeted level of building condition. In this study, maintenance treatment options, budget, time period, building deterioration rates, and the minimum standard of building condition were set. The model was run in IBM ILOG CPLEX Optimization Studio since the software is very efficient and effective in processing the optimization model. Furthermore, a case study was carried out to run the model involving 41 buildings in a 10-year period, and two different scenarios were conducted to examine the optimization model. The results successfully validated that the model can be a decision-making tool in selecting and prioritizing effective maintenance treatment.

2018 ◽  
Vol 24 (3) ◽  
pp. 1200-1214 ◽  
Author(s):  
Robert BUCOŃ ◽  
Michał TOMCZAK

The problem of multi-family building maintenance is complex and comprises numerous issues, one of which is the process of planning expenditures for residential building renovation. This task is important from the manager’s point of view as their responsibility is to maintain a building in a non-deteriorated condition. To fulfil this task, the authors of this paper suggest utilising a decision-making model aimed at defining renovation activities making it possible to retain the maintenance standard (as regards newly commissioned residential buildings) or improve it (as regards existing buildings). The suggested model is based on a multi-criteria building assessment including seven requirements. The calculations conducted using the suggested model enable us to define the costs and scope of renovation taken to ensure the assumed building condition or, by assuming various rates paid to the renovation reserve, to define the period in which the above-mentioned goals may be achieved.


2019 ◽  
Vol 133 (1) ◽  
pp. 146S-146S
Author(s):  
Sandra Dayaratna ◽  
Rhea Powell ◽  
Rebecca Gould ◽  
Randa Sifri ◽  
Katherine Sherif ◽  
...  

Author(s):  
Momen R. Mousa ◽  
Mostafa A. Elseifi ◽  
Zhongjie Zhang ◽  
Kevin Gaspard

Preventive maintenance treatments are widely used throughout the United States to extend pavement service life (PSL), and therefore, defer costly rehabilitation activities. However, optimizing the use of these treatments faces several key challenges. First, the benefits resulting from these treatments are not well-defined. Second, there is considerable debate over the optimal timing of these treatments. Third, concerns exist that these treatments may be responsible for moisture damage if the surrounding moisture conditions are not adequately considered before installation. Although significant research has been conducted to address these challenges, few efforts have been directed toward technology transfer and implementation of the research findings. Therefore, the objective of this study was to combine the results of a comprehensive research study addressing these challenges into an enhanced decision-making tool that can be used to select the best maintenance treatment to be applied to an existing asphalt concrete (AC) overlay based on the project conditions. For a given project, this tool will predict the most cost-effective maintenance treatment (crack sealing, chip seal, microsurfacing, or do nothing) to address existing surface distresses without causing moisture damage. The tool will also provide the optimal timing of installation of the recommended treatment. To ensure that the developed tool is practical and simple to use, it was developed using macros in Microsoft Excel. The developed tool is implementation-ready and should be utilized by the relevant Department of Transportation to maximize the benefits from pavement maintenance activities.


2021 ◽  
Vol 13 (4) ◽  
pp. 1874
Author(s):  
Shu-Shun Liu ◽  
Muhammad Faizal Ardhiansyah Arifin

The Indonesian government needs to maintain around 231,000 school buildings in active use. Such a portfolio of buildings given the diversity of locations, limited maintenance budget, and deterioration rates varied by different building conditions presents many challenges to effective maintenance planning. Many of those schools had been reported to be aging and in a degenerated condition. However, contemporary practice for the planning method of Indonesia’s building maintenance program applies reactive maintenance strategies with a single linear deterioration rate. Such methodology cannot properly guarantee the sustainability of those school buildings. Therefore, this study attempts to examine a different approach to Indonesia’s building maintenance planning by adopting a preventive maintenance strategy using the deterioration rate model proved by historical data from a previous study. This study develops an optimization model with varied deterioration rates and considers the budget limitation, by utilizing a Constraint Programming (CP) approach. The proposed model achieves the minimum maintenance cost for a real case of 41 school buildings under different deterioration rates to ensure adequate building conditions and maintain expected levels of service. Finally, research analysis also proves that this new preventive maintenance model has potential to deliver superior capability for assisting building maintenance decisions in Indonesia’s government.


2021 ◽  
Vol 8 ◽  
pp. 237437352110073
Author(s):  
Janet Reis

Forty-nine students enrolled at a medium size public university volunteered to review an interactive decision-making tool constructed to present the pros and cons of taking antidepression medication. The tool is built according to guidelines for shared decision-making with 7 educational sections followed by 4 queries on expectations about antidepressants, 3 key knowledge questions, and determination of readiness to take action. The most frequently cited reason for the content being helpful was improved understanding (78%) followed by increased personal confidence (37%) and helped me take action (14%). The most frequently cited reason for the content not being more helpful was already known information (74%) followed by not enough information (12%). The range of personal preferences underscores the complexity of motivations in responding to depressive symptoms. The prevalence of depression in the college population with a range of treatment options, limitations on resources, and new challenges mounted with the pandemic for campus life recommends further study of such tools.


2019 ◽  
Author(s):  
Winda Safitri Caniago ◽  
Hade Afriansyah

Decision making is an action with determine the result in solving problem with choose a rule action between alternative through a mental of process, logic of process and etc. This purpose article is to help make it easier to solve a problem. This article explain some strategy decision making such as optimization model, satisfying model, mixed scanning model, heuristic model, and last the selection of certain model.


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