When should advanced planning and scheduling systems be used in sales and operations planning?
Artikel i vetenskaplig tidskrift, 2014

The purpose of this paper is to explore how the context affects successful use of advanced planning and scheduling (APS) systems in sales and operations planning (S&OP) processes, and how individual, technological, and organizational (ITO) dimensions affect this procedure. A qualitative case study of two APS system-supported S&OP processes is conducted. The work aims to generate propositions concerning the relationships among the use of APS system, the context, ITO dimensions, and fulfillment of S&OP aims. Findings show that the use of APS systems was especially appropriate in support of S&OP processes in complex planning environments and when S&OP aims were ambitious. ITO dimensions were important influences on successful APS system use in most contexts. APS systems were not considered appropriate when having S&OP processes with ambitious aims and low individual and organizational maturities. Use of APS systems was also inappropriate when the extent of technological maturity was minimal. S&OP processes with ambitious aims, operating within a complex planning environment, are difficult if not impossible to implement without the support of APS systems. The suggestions on when APS systems should be used in different S&OP environments will be useful to companies implementing or about to implement APS systems. APS systems offer great potential if they are effectively used to support S&OP, still the use of APS system in S&OP is unexplored. The paper shows how the context and the ITO dimensions affect the successful use of APS systems in S&OP processes.


Design science

Sales and operations planning (S&OP)

Supply chain

Advanced planning and scheduling (APS) system

S&OP aims


Linea Kjellsdotter

Chalmers, Teknikens ekonomi och organisation, Logistik och transport

Patrik Jonsson

Chalmers, Teknikens ekonomi och organisation, Logistik och transport

International Journal of Operations and Production Management

0144-3577 (ISSN)

Vol. 34 1338-1362


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