What are the root causes of material delivery schedule inaccuracy in supply chains?
Journal article, 2023
Purpose:This study aims to explore and empirically test variables influencing material delivery schedule inaccuracies? Design/methodology/approach:A mixed-method case approach is applied. Explanatory variables are identified from the literature and explored in a qualitative analysis at an automotive original equipment manufacturer. Using logistic regression and random forest classification models, quantitative data (historical schedule transactions and internal data) enables the testing of the predictive difference of variables under various planning horizons and inaccuracy levels.
Findings: The effects on delivery schedule inaccuracies are contingent on a decoupling point, and a variable may have a combined amplifying (complexity generating) and stabilizing (complexity absorbing) moderating effect. Product complexity variables are significant regardless of the time horizon, and the item’s order life cycle is a significant variable with predictive differences that vary. Decoupling management is identified as a mechanism for generating complexity absorption capabilities contributing to delivery schedule accuracy.
Practical implications: The findings provide guidelines for exploring and finding patterns in specific variables to improve material delivery schedule inaccuracies and input into predictive forecasting models.
Originality/value: The findings contribute to explaining material delivery schedule variations, identifying potential root causes and moderators, empirically testing and validating effects and conceptualizing features that cause and moderate inaccuracies in relation to decoupling management and complexity theory literature?
Mixed method
Complexity absorption capability
Automotive industry
Decoupling management
Supply chain complexity
Material delivery schedule
Information sharing
Author
Patrik Jonsson
Chalmers, Technology Management and Economics, Supply and Operations Management
Johan Öhlin
Volvo
Hafez Shurrab
Penn State Behrend
Johan Bystedt
Meridion AB
Muhammad Azam Sheikh
Chalmers, Computer Science and Engineering (Chalmers), CSE Verksamhetsstöd
Vilhelm Verendel
Chalmers, Physics, E-commons
International Journal of Operations and Production Management
01443577 (ISSN) 17586593 (eISSN)
Vol. 44 13 34-68Subject Categories
Production Engineering, Human Work Science and Ergonomics
Other Mechanical Engineering
Areas of Advance
Transport
Production
DOI
10.1108/IJOPM-12-2022-0806