TY - JOUR
T1 - Tools and practices for tactical delivery date setting in engineer-to-order environments
T2 - a systematic literature review
AU - Bhalla, Swapnil
AU - Alfnes, Erlend
AU - Hvolby, Hans-Henrik
PY - 2022/4/5
Y1 - 2022/4/5
N2 - The research interest in topics related to production and supply chain planning and control in engineer-to-order (ETO) environments has grown significantly over the last three decades. One of the strategically important and challenging decision areas for planning and control in ETO environments is estimating and quoting feasible delivery dates and assessing the feasibility of customer-imposed delivery dates, collectively referred to as delivery date setting (DDS). While DDS has received substantial attention in literature, research supporting the process in ETO companies is fragmented - lacking clear guidelines for industrial practice and gaps to guide future research on the topic. To address these issues, this study systematically reviews literature supporting DDS in ETO environments, identifying tools and practices proposed in the extant literature, and proposing an agenda for future research. Findings suggest that most of the research has focused on developing planning and decision-support tools for tactical capacity planning to support reliable DDS, however, with a noticeable lack of alignment with industrial decision-support needs of ETO environments. Furthermore, despite previous research emphasising the importance of high levels of coordination and formalisation in the DDS process, there is a lack of research to guide practitioners in achieving high levels of coordination and formalisation.
AB - The research interest in topics related to production and supply chain planning and control in engineer-to-order (ETO) environments has grown significantly over the last three decades. One of the strategically important and challenging decision areas for planning and control in ETO environments is estimating and quoting feasible delivery dates and assessing the feasibility of customer-imposed delivery dates, collectively referred to as delivery date setting (DDS). While DDS has received substantial attention in literature, research supporting the process in ETO companies is fragmented - lacking clear guidelines for industrial practice and gaps to guide future research on the topic. To address these issues, this study systematically reviews literature supporting DDS in ETO environments, identifying tools and practices proposed in the extant literature, and proposing an agenda for future research. Findings suggest that most of the research has focused on developing planning and decision-support tools for tactical capacity planning to support reliable DDS, however, with a noticeable lack of alignment with industrial decision-support needs of ETO environments. Furthermore, despite previous research emphasising the importance of high levels of coordination and formalisation in the DDS process, there is a lack of research to guide practitioners in achieving high levels of coordination and formalisation.
KW - delivery date setting
KW - tactical planning
KW - sales and operations planning
KW - lead time estimation
KW - Engineer-to-order
KW - tactical planning
KW - sales and operations planning
KW - lead time estimation
KW - delivery date setting
KW - Engineer-to-order
UR - http://www.scopus.com/inward/record.url?scp=85129150106&partnerID=8YFLogxK
U2 - 10.1080/00207543.2022.2057256
DO - 10.1080/00207543.2022.2057256
M3 - Journal article
SN - 0020-7543
SP - 1
EP - 33
JO - International Journal of Production Research
JF - International Journal of Production Research
ER -