Replication of a Six Sigma black belt case study: GEP box's paper helicopter experiment in a drone logistics scenario

Sean P. Goffnett, Andrew N. Paquet, Oliver M. Strong, Kevin P. McCarron

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Unmanned aerial vehicles (drones) have gained attention in business in recent years. Drones have demonstrated potential use in logistics operations, such as surveillance, inventory counting, order picking, and 'last-mile' delivery. Given the proliferation in potential uses of drones, it is no surprise companies are testing drone capabilities. This article presents a theoretical business case describing the Six Sigma DMAIC model applied in a logistics context involving drone capacity and reliability. Define, measure, analyse, improve and control are presented. This article builds on earlier studies on structuring Six Sigma projects. This service-related business case can be used for training and education purposes.

Original languageEnglish
Pages (from-to)17-65
Number of pages49
JournalInternational Journal of Productivity and Quality Management
Volume27
Issue number1
DOIs
StatePublished - 2019

Keywords

  • DMAIC
  • DOE
  • Distribution
  • Drone
  • E-commerce
  • FMEA
  • Failure modes
  • Fulfilment
  • Gage R&R
  • Logistics
  • Repeatability
  • Reproducibility
  • Six Sigma
  • Unmanned aerial vehicle
  • Warehousing

Fingerprint

Dive into the research topics of 'Replication of a Six Sigma black belt case study: GEP box's paper helicopter experiment in a drone logistics scenario'. Together they form a unique fingerprint.

Cite this