Operational space efficiency (OpSE): a structured metric to evaluate the efficient use of space in industrial workstations

Abstract

PurposeThis paper proposes a new metric, named Operational Space Efficiency (OpSE), intended to diagnose and quantify the inefficient use of floor space for stocking materials in industrial workstations. OpSE presents a formulation analogous to the well-known Overall Equipment Effectiveness and can be obtained as the product of three distinct indicators: Standard Compliance Effectiveness, Standards Selection Effectiveness and Design Space-usage Effectiveness.Design/methodology/approachThis indicator scrutinizes how usefully floor space in workstations is used to temporarily stock materials in the form of raw materials, semi-finished products, parts and components. It is suited for analyzing fixed-position layouts as well as product layouts typical of repetitive manufacturing settings, such as assembly lines in the automotive sector. The proposed indicator leverages an appropriate loss structure that features those factors affecting floor space utilization in workstations with regard to supplying and stocking materials.FindingsAn Italian manufacturer in the field of electro-technology was used as an industrial case study for the application of the methodology. The application shows how the three indicators work in practice, the effectiveness of OpSE and the methodology as a whole, in diagnosing floor space usage inefficiencies and in properly addressing improvement actions of the internal logistics in industrial settings.Originality/valueThe paper scrutinizes some important Key Performance Indicators (KPIs) dealing with space usage efficiency and identifies some significant drawbacks. Then it suggests a new, inclusive structure of losses and a KPI that not only measures efficiency but also allows to identify viable countermeasures.

A new set of Lean indicators to assess Greenhouse Gas emissions related to industrial losses

“…OEE is a key Lean metric used to understand, measure and improve current performance and used to evaluate and enhance current performance in various production aspects. Originally developed for machine utilization assessment, its logical framework has been extended to measure effectiveness in labor (Braglia et al ., 2021), materials (Braglia et al ., 2018), energy (May et al ., 2015) and space utilization (Braglia et al ., 2023).…”