On the preventive management of sediment-related sewer blockages: a combined maintenance and routing optimization approach

In this work we tackle the problem of planning and scheduling preventive maintenance (PM) of sediment-related sewer blockages in a set of geographically distributed sites that are subject to non-deterministic failures. To solve the problem, we extend a combined maintenance and routing (CMR) optimiza...

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Published inWater science and technology Vol. 74; no. 2; pp. 302 - 308
Main Authors Fontecha, John E., Akhavan-Tabatabaei, Raha, Duque, Daniel, Medaglia, Andrés L., Torres, María N., Rodríguez, Juan Pablo
Format Journal Article
LanguageEnglish
Published England IWA Publishing 01.07.2016
Subjects
Cities
Civil engineering
Cleaners
Colombia
Cost engineering
Cost reduction
Crews
Dump trucks
Employees
Failure
Failures
Geographical distribution
Geologic Sediments - analysis
Hydraulics
Infrastructure
Integrated approach
Maintenance management
Mixed integer
Models, Theoretical
Neural networks
Optimization
Preventive maintenance
Reliability engineering
Rods
Scheduling
Sediment
Sediments
Sewer maintenance
Sewer systems
Statistical analysis
Stormwater management
Trucks
Waste Disposal, Fluid - instrumentation
Waste Disposal, Fluid - methods
Winches
United States > US
Colombia, Cundinamarca, Bogota
Colombia
Online AccessGet full text
ISSN0273-1223
1996-9732
DOI10.2166/wst.2016.160

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Abstract In this work we tackle the problem of planning and scheduling preventive maintenance (PM) of sediment-related sewer blockages in a set of geographically distributed sites that are subject to non-deterministic failures. To solve the problem, we extend a combined maintenance and routing (CMR) optimization approach which is a procedure based on two components: (a) first a maintenance model is used to determine the optimal time to perform PM operations for each site and second (b) a mixed integer program-based split procedure is proposed to route a set of crews (e.g., sewer cleaners, vehicles equipped with winches or rods and dump trucks) in order to perform PM operations at a near-optimal minimum expected cost. We applied the proposed CMR optimization approach to two (out of five) operative zones in the city of Bogotá (Colombia), where more than 100 maintenance operations per zone must be scheduled on a weekly basis. Comparing the CMR against the current maintenance plan, we obtained more than 50% of cost savings in 90% of the sites.
AbstractList In this work we tackle the problem of planning and scheduling preventive maintenance (PM) of sediment-related sewer blockages in a set of geographically distributed sites that are subject to non-deterministic failures. To solve the problem, we extend a combined maintenance and routing (CMR) optimization approach which is a procedure based on two components: (a) first a maintenance model is used to determine the optimal time to perform PM operations for each site and second (b) a mixed integer program-based split procedure is proposed to route a set of crews (e.g., sewer cleaners, vehicles equipped with winches or rods and dump trucks) in order to perform PM operations at a near-optimal minimum expected cost. We applied the proposed CMR optimization approach to two (out of five) operative zones in the city of Bogota (Colombia), where more than 100 maintenance operations per zone must be scheduled on a weekly basis. Comparing the CMR against the current maintenance plan, we obtained more than 50% of cost savings in 90% of the sites.
In this work we tackle the problem of planning and scheduling preventive maintenance (PM) of sediment-related sewer blockages in a set of geographically distributed sites that are subject to non-deterministic failures. To solve the problem, we extend a combined maintenance and routing (CMR) optimization approach which is a procedure based on two components: (a) first a maintenance model is used to determine the optimal time to perform PM operations for each site and second (b) a mixed integer program-based split procedure is proposed to route a set of crews (e.g., sewer cleaners, vehicles equipped with winches or rods and dump trucks) in order to perform PM operations at a near-optimal minimum expected cost. We applied the proposed CMR optimization approach to two (out of five) operative zones in the city of Bogotá (Colombia), where more than 100 maintenance operations per zone must be scheduled on a weekly basis. Comparing the CMR against the current maintenance plan, we obtained more than 50% of cost savings in 90% of the sites.
In this work we tackle the problem of planning and scheduling preventive maintenance (PM) of sediment-related sewer blockages in a set of geographically distributed sites that are subject to non-deterministic failures. To solve the problem, we extend a combined maintenance and routing (CMR) optimization approach which is a procedure based on two components: (a) first a maintenance model is used to determine the optimal time to perform PM operations for each site and second (b) a mixed integer program-based split procedure is proposed to route a set of crews (e.g., sewer cleaners, vehicles equipped with winches or rods and dump trucks) in order to perform PM operations at a near-optimal minimum expected cost. We applied the proposed CMR optimization approach to two (out of five) operative zones in the city of Bogotá (Colombia), where more than 100 maintenance operations per zone must be scheduled on a weekly basis. Comparing the CMR against the current maintenance plan, we obtained more than 50% of cost savings in 90% of the sites.In this work we tackle the problem of planning and scheduling preventive maintenance (PM) of sediment-related sewer blockages in a set of geographically distributed sites that are subject to non-deterministic failures. To solve the problem, we extend a combined maintenance and routing (CMR) optimization approach which is a procedure based on two components: (a) first a maintenance model is used to determine the optimal time to perform PM operations for each site and second (b) a mixed integer program-based split procedure is proposed to route a set of crews (e.g., sewer cleaners, vehicles equipped with winches or rods and dump trucks) in order to perform PM operations at a near-optimal minimum expected cost. We applied the proposed CMR optimization approach to two (out of five) operative zones in the city of Bogotá (Colombia), where more than 100 maintenance operations per zone must be scheduled on a weekly basis. Comparing the CMR against the current maintenance plan, we obtained more than 50% of cost savings in 90% of the sites.
Author Fontecha, John E.
Duque, Daniel
Akhavan-Tabatabaei, Raha
Medaglia, Andrés L.
Rodríguez, Juan Pablo
Torres, María N.
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  surname: Akhavan-Tabatabaei
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  givenname: Juan Pablo
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  fullname: Rodríguez, Juan Pablo
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Snippet In this work we tackle the problem of planning and scheduling preventive maintenance (PM) of sediment-related sewer blockages in a set of geographically...
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SubjectTerms Cities
Civil engineering
Cleaners
Colombia
Cost engineering
Cost reduction
Crews
Dump trucks
Employees
Failure
Failures
Geographical distribution
Geologic Sediments - analysis
Hydraulics
Infrastructure
Integrated approach
Maintenance management
Mixed integer
Models, Theoretical
Neural networks
Optimization
Preventive maintenance
Reliability engineering
Rods
Scheduling
Sediment
Sediments
Sewer maintenance
Sewer systems
Statistical analysis
Stormwater management
Trucks
Waste Disposal, Fluid - instrumentation
Waste Disposal, Fluid - methods
Winches
Title On the preventive management of sediment-related sewer blockages: a combined maintenance and routing optimization approach
URI https://www.ncbi.nlm.nih.gov/pubmed/27438233
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Volume 74
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