Optimal product aggregation for sales and operations planning in mass customisation context

Mustapha Sali, Yahya Ghrab and Clément Chatras
Additional contact information
Mustapha Sali: DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique
Yahya Ghrab: DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique
Clément Chatras: Technocentre Renault [Guyancourt] - RENAULT

Post-Print from HAL

Abstract: Sales and operations planning (S&OP) is a multi-actor tactical planning process that balances aggregate demand and capacities to deliver realistic production plans. The way demand is aggregated into product families (PFs) is crucial for the alignment sought by S&OP. The issue of gathering individual products into PFs is particularly challenging in the mass customisation (MC) context where products are depicted through combinations of attributes derived from a set of features. This paper introduces the aggregation scheme concept that refers to the subset of features used to constitute PFs. Several aggregation schemes may be considered with different performances from the perspective of the actors involved in the S&OP. A multi-objective model is designed to identify efficient aggregation schemes considering both sales and operations expectations. The model is implemented on numerical instances from automotive industry. The results highlight the existence of more efficient and balanced aggregation schemes than those currently used

Keywords: Mass customisation; Aggregation scheme; Product family; Multi-objective optimisation; Automotive industry; Sales & operations planning (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Published in International Journal of Production Economics, 2023, 263, ⟨10.1016/j.ijpe.2023.108948⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04319422

DOI: 10.1016/j.ijpe.2023.108948

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().