TY - JOUR
T1 - A tactical demand-supply planning framework to manage complexity in engineer-to-order environments
T2 - insights from an in-depth case study
AU - Shurrab, Hafez
AU - Jonsson, Patrik
AU - Johansson, Mats I.
N1 - Publisher Copyright:
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - The challenging demand-supply balancing in engineer-to-order (ETO) environments is often attributed to complexity. This study expands the understanding of managing complexity to obtain demand-supply balancing, focussing on the tactical planning logic of the order fulfilment process. An in-depth single case study was conducted and data describing the order fulfilment process at a construction company were collected and analysed. Findings suggest a tactical-level planning process framework, incorporating nine key decisions and three crucial activities, and their potential complexity-reducing and complexity-absorbing impact. The study contributes to the theoretical discussion of complexity in management practices, linking demand-supply balancing as a performance measure. The findings guide practitioners in ETO settings on anticipating potential medium-term consequences of key decisions on capacity. This emphasises the need of proper IT support to apply knowledge generated from previous projects and conduct comprehensive and robust scenario-based analyses.
AB - The challenging demand-supply balancing in engineer-to-order (ETO) environments is often attributed to complexity. This study expands the understanding of managing complexity to obtain demand-supply balancing, focussing on the tactical planning logic of the order fulfilment process. An in-depth single case study was conducted and data describing the order fulfilment process at a construction company were collected and analysed. Findings suggest a tactical-level planning process framework, incorporating nine key decisions and three crucial activities, and their potential complexity-reducing and complexity-absorbing impact. The study contributes to the theoretical discussion of complexity in management practices, linking demand-supply balancing as a performance measure. The findings guide practitioners in ETO settings on anticipating potential medium-term consequences of key decisions on capacity. This emphasises the need of proper IT support to apply knowledge generated from previous projects and conduct comprehensive and robust scenario-based analyses.
UR - http://www.scopus.com/inward/record.url?scp=85093095882&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85093095882&partnerID=8YFLogxK
U2 - 10.1080/09537287.2020.1829147
DO - 10.1080/09537287.2020.1829147
M3 - Article
AN - SCOPUS:85093095882
SN - 0953-7287
VL - 33
SP - 462
EP - 479
JO - Production Planning and Control
JF - Production Planning and Control
IS - 5
ER -