TY  - CONF
TI  - Development of lean maturity in an earthmoving mining project
C1  - Singapore, Singapore
C3  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
SP  - 1761
EP  - 1772
PY  - 2026
DO  - 10.24928/2026/0257
AU  - Ronceros, Kevin
AU  - Bendezu, Clever
AU  - Aroquipa, Marco
AU  - Mio, Luis
AU  - Chicoma, Jose
AU  - Miranda, Oscar
AU  - Neyra, Mauricio
AD  - Production Engineer, National University of Engineering, Lima, Perú, kevin.ronceros.p@uni.pe, orcid.org/0009-0005-1205-3833
AD  - Site Resident, Tecnomin Data S.A.C, Lima, Perú, Bendezuromeroclever @gmail.com
AD  - Project Engineer, Volcan S.A.C, Lima, Perú, MAroquipa@volcan.com.pe
AD  - Civil Engineer, National University of Engineering, Lima, Perú, luis.mio.r@uni.pe, orcid.org/0009-0004-4832-9232
AD  - Civil Engineer, National University of Engineering, Lima, Perú, jose.chicoma.m@uni.pe
AD  - Civil Engineer, National University of Engineering, Lima, Perú, omiranda@uni.edu.pe, orcid.org/0000-0002-0949-5295
AD  - MSc Student, Postgraduate Program in Civil Engineering (PPGCI), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil, mauricio.neyra@ufrgs.br, orcid.org/0009-0007-7379-5798
ED  - Hamzeh, Farook
ED  - Poshdar, Mani
ED  - Garcia-Lopez,, Nelly P.
AB  - Earthmoving projects in mining face persistent challenges to production reliability due to high operational variability, changing constraints, extreme weather conditions, and flow instability. While Lean thinking has demonstrated benefits in other industries, its adoption in mining remains limited and insufficiently documented. This article investigates how a maturity model facilitates the adoption of Lean Construction (LC) while explicitly integrating Operations Science principles into a tailings dam raising project at the Alpamarca Mining Unit in Junin, Perú.
The research follows a case study approach and applies a structured five-stage method: (1) defining the adoption challenge and target maturity; (2) diagnosing the current state using the MMDPLC maturity model; (3) establishing realistic evolution targets for the production system; (4) experimenting to achieve the target condition through iterative and structured Kaizen events and flow-centric diagnostics; and (5) reassessing the achieved maturity using the same instrument. After 35 weeks of implementation, most maturity components reached Level 2 (Formal), supported by improved flow stability, clearer value identification, and a systematic reduction in waste. The study provides empirical evidence that maturity models translate operations science principles into operational routines in complex and highly variable mining environments and motivates replication and evaluation in other types of mining projects.
KW  - Lean construction
KW  - maturity model
KW  - kaizen
KW  - design science
KW  - production.
PB  - 
T2  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
DA  - 2026/06/22
CY  - Singapore, Singapore
L1  - http://iglc.net/Papers/Details/2548/pdf
L2  - http://iglc.net/Papers/Details/2548
N1  - Export Date: 19 June 2026
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -