Preventive Maintenance Model for National School Buildings in Indonesia Using a Constraint Programming Approach

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.

[1]  Przemysław Strzelecki,et al.  Determination of fatigue life for low probability of failure for different stress levels using 3-parameter Weibull distribution , 2021 .

[2]  Tarek Zayed,et al.  Defect-based building condition assessment , 2021 .

[3]  A. J. Prieto,et al.  On the impacts of climate change on the functional deterioration of heritage buildings in South Chile , 2020 .

[4]  Kwonsik Song,et al.  Maintenance cost prediction for aging residential buildings based on case-based reasoning and genetic algorithm , 2020 .

[5]  M. Lepech,et al.  Incorporating multi-physics deterioration analysis in building information modeling for life-cycle management of durability performance , 2020 .

[6]  Zheng,et al.  Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus , 2019, Sustainability.

[7]  H. Wallbaum,et al.  A service-life cycle approach to maintenance and energy retrofit planning for building portfolios , 2019, Building and Environment.

[8]  Daniel W.M. Chan,et al.  Sustainable building maintenance for safer and healthier cities: Effective strategies for implementing the Mandatory Building Inspection Scheme (MBIS) in Hong Kong , 2019, Journal of Building Engineering.

[9]  Kwonsik Song,et al.  Preliminary Service Life Estimation Model for MEP Components Using Case-Based Reasoning and Genetic Algorithm , 2019, Sustainability.

[10]  Jing Liu,et al.  Robust Dual-Level Optimization Framework for Resource-Constrained Multiproject Scheduling for a Prefabrication Facility in Construction , 2019, J. Comput. Civ. Eng..

[11]  J. de Brito,et al.  Do we need a buildings’ inspection, diagnosis and service life prediction software? , 2019, Journal of Building Engineering.

[12]  Jakob Brinkø Berg,et al.  Sustainable Building Renovation: Proposals for a Research Agenda , 2018, Sustainability.

[13]  Jan-Olof Dalenbäck,et al.  Optimized maintenance and renovation scheduling in multifamily buildings – a systematic approach based on condition state and life cycle cost of building components , 2018, Construction Management and Economics.

[14]  Jing Liu,et al.  Constraint Programming Approach to Optimizing Project Schedules under Material Logistics and Crew Availability Constraints , 2018, Journal of Construction Engineering and Management.

[15]  Aníbal Costa,et al.  Conservation level of residential buildings: Methodology evolution , 2018 .

[16]  Hui-Bing Xie,et al.  Life-time reliability based optimization of bridge maintenance strategy considering LCA and LCC , 2018 .

[17]  S. Tighe,et al.  Impact of environmental assessment and budgetary restrictions in pavement maintenance decisions: Application to an urban network , 2018 .

[18]  Charitas Fibriani,et al.  Analysis of Primary School Infrastructure Damage using Simple Additive Weighting Method and Map Visualization , 2018 .

[19]  Bon-Gang Hwang,et al.  Overview of Design for Maintainability in Building and Construction Research , 2018 .

[20]  Ossama Hosny,et al.  Performance-Based Reliability-Centered Maintenance Planning for Hospital Facilities , 2018 .

[21]  Jorge de Brito,et al.  Maintenance planning of facades in current buildings , 2017 .

[22]  Naiyu Wang,et al.  Bridge network maintenance prioritization under budget constraint , 2017 .

[23]  Graziano Salvalai,et al.  Analysis of different energy conservation strategies on existing school buildings in a Pre-Alpine Region , 2017 .

[24]  Sujeeva Setunge,et al.  Markov Process for Deterioration Modeling and Asset Management of Community Buildings , 2017 .

[25]  V. Tam,et al.  Maintenance Priority Setting for Private Residential Buildings in Hong Kong , 2017 .

[26]  Adélio Rodrigues Gaspar,et al.  An approach for energy performance and indoor climate assessment in a Portuguese school building , 2017 .

[27]  Hongchao Liu,et al.  A life-cycle optimization model using semi-markov process for highway bridge maintenance , 2017 .

[28]  Jorge de Brito,et al.  Methodology for service life prediction of architectural concrete facades , 2017 .

[29]  H. Osman,et al.  Optimal Maintenance and Rehabilitation Policies for Performance-Based Road Maintenance Contracts , 2017 .

[30]  Nora El-Gohary,et al.  Discrete Markov Approach for Building Component Condition, Reliability, and Service-Life Prediction Modeling , 2016 .

[31]  Chang-Taek Hyun,et al.  Minimizing Fluctuation of the Maintenance, Repair, and Rehabilitation Cost Profile of a Building , 2016 .

[32]  Nayanthara De Silva,et al.  Risk analysis in maintainability of high-rise buildings under tropical conditions using ensemble neural network , 2016 .

[33]  Andrea Raith,et al.  Multiobjective Optimization for Maintenance Decision Making in Infrastructure Asset Management , 2015 .

[34]  Wail Menesi,et al.  Multimode Resource-Constrained Scheduling and Leveling for Practical-Size Projects , 2015 .

[35]  Celeste M.C. Pereira,et al.  Building Characterization and Degradation Condition of Secondary Industrial Schools , 2015 .

[36]  Cheong Peng Au-Yong,et al.  Participative Mechanisms to Improve Office Maintenance Performance and Customer Satisfaction , 2015 .

[37]  P. Mccawley INFRASTRUCTURE POLICY IN INDONESIA, 1965–2015: A SURVEY , 2015 .

[38]  Guomin Zhang,et al.  Markov Model—Based Building Deterioration Prediction and ISO Factor Analysis for Building Management , 2015 .

[39]  Liang Y Liu,et al.  Knowledge-Based Optimization of Building Maintenance, Repair, and Renovation Activities to Improve Facility Life Cycle Investments , 2014 .

[40]  Tarek Hegazy,et al.  Fast and Near-Optimum Schedule Optimization for Large-Scale Projects , 2013 .

[41]  Tarek Hegazy,et al.  Building asset management with deficiency tracking and integrated life cycle optimisation , 2012 .

[42]  Shu-Shun Liu,et al.  Optimizing linear project scheduling with multi-skilled crews , 2012 .

[43]  Jesus M. de la Garza,et al.  Network-level optimization of pavement maintenance renewal strategies , 2011, Adv. Eng. Informatics.

[44]  Shu-Shun Liu,et al.  Profit Optimization for Multiproject Scheduling Problems Considering Cash Flow , 2010 .

[45]  H. Firman,et al.  The Future of Schooling in Indonesia , 2008 .

[46]  Toby Walsh,et al.  Handbook of Constraint Programming (Foundations of Artificial Intelligence) , 2006 .

[47]  Michael N. Grussing,et al.  Condition and Reliability Prediction Models Using the Weibull Probability Distribution , 2006 .

[48]  Lihui Zhang,et al.  A constraint programming approach for scheduling repetitive projects with atypical activities considering soft logic , 2020 .

[49]  S. Nickel,et al.  IBM ILOG CPLEX Optimization Studio , 2020 .

[50]  Daniel Straub,et al.  Risk-based optimal inspection strategies for structural systems using dynamic Bayesian networks , 2019, Structural Safety.

[51]  Holger Wallbaum,et al.  The importance of life-cycle based planning in maintenance and energy renovation of multifamily buildings , 2019, Sustainable Cities and Society.

[52]  Vladik Kreinovich,et al.  Constraint Programming and Decision Making: Theory and Applications , 2018 .

[53]  Gabriela Beatrice Cotet,et al.  Assessment procedure for the soft skills requested by Industry 4.0 , 2017 .

[54]  Aditya Riski Taufani,et al.  Proposed Bamboo School Buildings for Elementary Schools in Indonesia , 2014 .

[55]  Rengkui Liu,et al.  Schedule control model for linear projects based on linear scheduling method and constraint programming , 2014 .

[56]  Toby Walsh,et al.  Handbook of Constraint Programming , 2006, Handbook of Constraint Programming.

[57]  Ghassan Aouad,et al.  An integrated environment for life cycle costing in construction , 2003 .