Sustainable workforce scheduling in construction program management

Abstract

The multimode resource-constrained project scheduling problem (MRCPSP) deals with the scheduling of a set of projects with alternative requirements of renewable and non-renewable resources. Solutions to the MRCPSP usually consider objectives in terms of cost and time. However, social objectives related with the workforce may impact the performance of projects and affect program sustainability goals. To account for this new social input, this paper extends the MRCPSP and proposes a new multiobjective mixed-integer programming model. The proposed solution method uses an a priori lexicographic ordering of the objectives, followed by an e-constraints approach. The model is illustrated with a case study of a construction program.

The Multimode Resource‐Constrained Project Scheduling Problem for Repetitive Activities in Construction Projects

“…Each scenario is evaluated under 15 different resource availability instances, from 31 to 45 resource units per period, yielding 60 solved instances. Additionally, the resource efficiency consumption of the obtained schedules is measured throughout seven indicators: the sum of squares (SSQR) (Burguess and Killebrew, 1962), sum of differences of consecutive daily resources (SCDCR) (Florez et al, 2012), the sum of squares of differences of consecutive daily resources (SSDCDR) (Ponz-Tienda et al, 2017), the resource improvement coefficient (RIC) (Harris, 1978), the resource idle days (RID) (El-Rayes and Jun, 2009), and two new efficiency indexes developed by the authors: the resource surplus-consumption ratio (RSCR) and the resource consumption-availability ratio (RCAR).…”

Crew Allocation System for the Masonry Industry

“…Instead, the skills that a worker has can determine which tasks the worker can perform. Some workers have one or more skills and a worker who posseses different categorical skills is referred to as a multi-skilled worker (Gomar et al, 2002;Florez et al, 2013) or a crosstrained worker (de Matta and Peters, 2009;Li and Li, 2000).…”

“…The multi-objective model can be solved using a priori lexicographic ordering of the objectives (Steuer, 1989), using a similar solution approach that has been applied in Florez et al (2013) and Villegas et al (2006). In contrast to methods designed to unveil a whole set of nondominated solutions, this strategy first gives top priority to minimizing the time to complete the walls followed by minimizing the cost, without deteriorating the previously attained objective.…”

A Parallel Branch and Bound Algorithm for the Resource Leveling Problem with Minimal Lags

“…Florez et al. () propose the Maximizing Labor Stability function, which aims to increase the extent of use of workers and job continuity by two alternatives: the first minimizes the maximal fluctuation of workers, and the second the sum of the fluctuations.…”