TY - GEN
T1 - Proposed Integrated Model to Improve On-Time Delivery by Incorporating Green Logistics, Systematic Layout Planning (SLP), Work Standardization, Poka-Yoke, and Industry 4.0 in a Peruvian Fiber Optic Distribution Company
AU - Pinares, Richard
AU - Mamani, Aldair
AU - Hurtado, Angel
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - The objective of this study is to provide a model for enhancing on-time delivery (OTD) in a business that specializes in the Peruvian market for fiber optic goods. Because they result in rework and financial losses, root factors influencing the packing and picking processes, such as incorrect order preparation and needless motions, were found. Applied research using a quantitative approach and quasi-experimental design was the methodology employed, utilizing tools for continuous improvement like Systematic Layout Planning (SLP), Poka-Yoke, Standardized Work, and 5S. Reductions in weekly packing errors, total operating time, and improvements in workplace order and control are among the key findings that demonstrate a notable increase in process efficiency and quality indicators. The study’s conclusions pertain to the optimization of internal logistics procedures in small and medium-sized technology-related businesses. The difficulty of reproducing the precise improvement circumstances in other businesses without a previous diagnostic evaluation is a notable restriction, though. The study’s practical implications include a methodical and quantifiable strategy for enhancing order fulfillment performance, which has a direct effect on customer happiness. This study is regarded as unique since it combines traditional techniques for continuous improvement with a targeted logistics strategy in a business that did not previously have standardized processes or a system for evaluating performance.
AB - The objective of this study is to provide a model for enhancing on-time delivery (OTD) in a business that specializes in the Peruvian market for fiber optic goods. Because they result in rework and financial losses, root factors influencing the packing and picking processes, such as incorrect order preparation and needless motions, were found. Applied research using a quantitative approach and quasi-experimental design was the methodology employed, utilizing tools for continuous improvement like Systematic Layout Planning (SLP), Poka-Yoke, Standardized Work, and 5S. Reductions in weekly packing errors, total operating time, and improvements in workplace order and control are among the key findings that demonstrate a notable increase in process efficiency and quality indicators. The study’s conclusions pertain to the optimization of internal logistics procedures in small and medium-sized technology-related businesses. The difficulty of reproducing the precise improvement circumstances in other businesses without a previous diagnostic evaluation is a notable restriction, though. The study’s practical implications include a methodical and quantifiable strategy for enhancing order fulfillment performance, which has a direct effect on customer happiness. This study is regarded as unique since it combines traditional techniques for continuous improvement with a targeted logistics strategy in a business that did not previously have standardized processes or a system for evaluating performance.
KW - 5S
KW - Green Logistics
KW - Poka-Yoke
KW - Standardization of work
KW - Systematic Layout Planning
UR - https://www.scopus.com/pages/publications/105030936249
U2 - 10.1007/978-3-032-11791-5_41
DO - 10.1007/978-3-032-11791-5_41
M3 - Contribución a la conferencia
AN - SCOPUS:105030936249
SN - 9783032117908
T3 - Mechanisms and Machine Science
SP - 441
EP - 450
BT - Advances in Sustainable Mechanical Manufacturing - Selected Contributions from MMIE 2025
A2 - Tsukamoto, Hideaki
PB - Springer Science and Business Media B.V.
T2 - 8th International Conference on Mechanical Manufacturing and Industrial Engineering, MMIE 2025
Y2 - 26 August 2025 through 29 August 2025
ER -