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.

This article attempts to examine the factors that affect the mechanism of mobilizing and utilizing financial resources in building new countryside in Vietnam. Based on the primary data gathered from 480 inhabitants, managers and enterprises in Nghe An province and through exploratory factor analysis (EFA) and linear regression, the findings show that viewpoint, orientations and objectives of socio-economic development are the most influential factors to the mechanism of the mobilization and utilization of financial resources for new countryside building, followed by structural organization and technical facilities, participating individual’s perception, socio-economic environment and, lastly, specific characteristics of building new countryside.