TY  - CONF
TI  - Workload Leveling Metrics for Location-Based Process Design 
C1  - Lille, France
C3  - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)
SP  - 1593
EP  - 1604
PY  - 2023
DO  - 10.24928/2023/0244
AU  - Singh, Vishesh V.
AU  - Tommelein, Iris D.
AD  - Ph.D. Candidate, Engineering and Project Management Program, Civil and Environmental Engrg. Dept.,  Graduate Student Researcher, Project Production Systems Laboratory, University of California, Berkeley, USA,  mvisheshvs@berkeley.edu, orcid.org/0000-0002-6999-9727
AD  -  Ph.D. Candidate, Engineering and Project Management Program, Civil and Environmental Engrg. Dept.,  Graduate Student Researcher, Project Production Systems Laboratory, University of California, Berkeley, USA,  mvisheshvs@berkeley.edu, orcid.org/0000-0002-6999-9727
AB  - Process design can help to meet project deadlines and ensure a smooth workflow. While work structuring (WS) is commonly used to design processes as linear flows, doing so may not account for 2-dimensional spatial variation in work and such variation can disrupt the flow. To limit disruption, takt production and the Work Density Method (WDM) have been developed, but metrics are yet needed to gauge and visualize the quality of workloads to achieve the desired flow. This paper presents multiple perspectives to assess desired outcomes of workload leveling and formalizes them into optimization objectives. It proposes nine metrics, grouped into seven types, to measure the success of achieving these objectives. The value of these metrics is illustrated using XLWoLZo, an Excel-based tool with an off-the-shelf genetic algorithm (GA), to solve a toy problem. The paper compares XLWoLZo’s results obtained with the suggested metrics to the results of the metric used in existing models, examines how the resulting values of metrics compare to one another, and assesses their impact on desired outcomes. The paper concludes that no single “best” metric exists and suggests combining metrics to balance conflicting objectives. Finally, the paper discusses limitations and offers future research directions. 
KW  - Process
KW  - Location-based planning
KW  - Takt planning (TP)
KW  - Flow
KW  - Variabilit
PB  - 
T2  - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)
DA  - 2023/06/26
CY  - Lille, France
L1  - http://iglc.net/Papers/Details/2173/pdf
L2  - http://iglc.net/Papers/Details/2173
N1  - Export Date: 24 April 2025
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -