Managing complexity through integrative tactical planning in engineer-to-order environments: insights from four case studies
Journal article, 2020

Fulfilling customer orders in engineer-to-order (ETO) settings entails customization and, thus, greater complexity: detail and uncertainty. Tactical planning aims at demand–supply (DS) balancing by ensuring cross-functional integration (CFI), which incorporates coordination as one dimension. This study uses a case study approach to identify the key coordination mechanisms applied in the customer order fulfilment processes (COFPs) to mitigate the negative impact of complexity on DS balancing in four ETO-oriented settings. Within-case analyses identify the applied mechanisms, and a cross-case analysis elaborates on how they influence the detail and uncertainty in decision-making and problem-solving activities. Findings suggest a positive effect of formalized activity sequences, balanced team compositions, effective task designs and supportive information systems (ISs); and a positive (but contingent) effect of the other mechanisms. Future research may address other CFI dimensions (collaboration), statistically test the findings, or qualitatively deepen the understanding of the forms and impacts of individual mechanisms.

engineer-to-order

complexity

Order fulfilment process

integration

tactical planning

Author

Hafez Shurrab

Chalmers, Technology Management and Economics, Supply and Operations Management

Patrik Jonsson

Chalmers, Technology Management and Economics, Supply and Operations Management

Mats Johansson

Chalmers, Technology Management and Economics, Supply and Operations Management

Production Planning and Control

0953-7287 (ISSN) 1366-5871 (eISSN)

Vol. In Press

Resource efficient planning for competitive production networks - Phase B

VINNOVA, 2015-12-01 -- 2018-01-12.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Transport Systems and Logistics

Areas of Advance

Transport

Production

DOI

10.1080/09537287.2020.1837937

More information

Latest update

11/10/2020