Abstract
Due to its proactive impact on the serviceability of components in a system, preventive maintenance plays an important role particularly in systems of geographically spread infrastructure such as utilities networks in commercial buildings. What makes such systems differ from the classical schemes is the routing and technicians' travel times. Besides, maintenance in commercial buildings is characterized by its short tasks’ durations and spatial distribution within and between different buildings, a class of problems that has not been suitably investigated. Although it is not trivial to assign particular duties solely to multi-skilled teams under limited time and capacity constraints, the problem becomes more challenging when travel routes, durations and service levels are considered during the execution of the daily maintenance tasks. To address this problem, we propose a Mixed Integer Linear Programming Model that considers the above settings. The model exact solution recommends collaborative choices that include the number of maintenance teams, the selected tasks, routes, tasks schedules, all detailed to days and teams. The model will reduce the cost of labor, replacement parts, penalties on service levels and travel time. The optimization model has been tested using different maintenance scenarios taken from a real maintenance provider in the UAE. Using CPLEX solver, the findings demonstrate an inspiring time utilization, schedules of minimal routing and high service levels using a minimum number of teams. Different travel speeds of diverse assortment of tasks, durations and cost settings have been tested for further sensitivity analysis.
Highlights
Maintenance can be defined as a combination of both technical and administrative activities that are necessary to maintain or restore an entity or a system back to its working condition (British Standards Institution, 1984)
A maintenance scheduling model is proposed which aims to reduce the cost of maintenance teams, spare parts, travel time and noncompliance to the service levels via proposing schedules that demonstrate the shortest routes between task sites subject to capacity and time restrictions
The model incorporates a novel formulation of the routing constraints and travel times between tasks sites
Summary
Maintenance can be defined as a combination of both technical and administrative activities that are necessary to maintain or restore an entity or a system back to its working condition (British Standards Institution, 1984). The working conditions of the assets can be observed and endured with high-tech real-time job monitoring systems This is achieved by delivering timely maintenance considering the cost, lifespan of parts, system performance, and maintenance frequencies. To address the above special category of maintenance operations, this paper will focus on maintenance activities in geographically scattered infrastructures This form of service can be found in the maintenance contracts of commercial buildings, which include electrical, mechanical, plumbing, civil and advanced system maintenance activities such as fire alarms, firefighting, protection services, vertical transport systems, and other maintenance tasks. Due to the huge business growth and the country’s booming commercial sector and the rising number of residential ventures, maintenance service providers continuously seek better management that can efficiently address the different challenges in maintenance operations and contracts which make the selected case studies a good fit for our model. The model should concurrently reduce the cost of labor, replacement parts, penalties on service levels, and travel times
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