Exploring factors causing and amplifying ‎delivery schedule instability: An OEM ‎perspective from the ‎automotive industry
Paper in proceedings, 2020

Purpose The purpose is to explore how OEMs generate instabilities in material delivery schedules ‎within automotive supply chains. ‎ Design A multiple case study of three automotive OEMs were conducted to collect qualitative and ‎quantitative data as to explore factors causing and amplifying schedule instability measured ‎by inaccuracy and nervousness. The quantitative data includes two-year delivery schedule ‎history, and the qualitative data includes the OEMs’ manufacturing planning and control ‎processes and policies.‎ Findings From literature and cross-case analysis, the study generates a framework of causing and ‎amplifying variables. Four factors (take rate, transport lead times, unit loads, and pick-up ‎frequency) were proposed to have common and significant impact on schedule instability. ‎Take-rate and transport lead time amplify schedule inaccuracies, and pick-up frequency ‎amplifies schedule inaccuracy for items with low take-rates.‎ Research implications The quantitative study analyses the amplifying effect of a few selected factors at one of ‎the OEMs. Future studies may address additional factors including causes like production ‎disturbances and may validate the findings at more OEMs.‎ Practical implications Understanding the amplifying effect at an item level guides the instability dampening ‎policy making at OEMs to, for instance, establish clusters of components with sensitivity ‎profiles‎.‎ Original The study compliments previous frameworks with refined and additional factors, exploring ‎empirically rich data about how OEMs, an understudied perspective, propagate schedule ‎instability, an area dominated by simulation studies.‎ Keywords: Schedule Instability, Nervousness, Schedule Inaccuracy, MRP, Rescheduling.‎




Schedule Instability

Schedule Inaccuracy


Hafez Shurrab

Chalmers, Technology Management and Economics, Supply and Operations Management

Patrik Jonsson

Chalmers, Technology Management and Economics, Supply and Operations Management

Proceedings of the Nofoma conference 2020

Reykjavik, Iceland,

Future of sharing schedule information in automotive industry supply chains using advanced data analytics

VINNOVA, 2018-10-01 -- 2021-05-31.

FFI - Strategic Vehicle Research and Innovation, 2018-10-01 -- 2021-05-31.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Mechanical Engineering

Transport Systems and Logistics

Areas of Advance



More information