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Shop floor characteristics influencing the use of advanced planning and scheduling systems

Linea Kjellsdotter Ivert (Institutionen för teknikens ekonomi och organisation, Logistik och transport)
Production Planning & Control (0953-7287). Vol. 23 (2012), 6, p. 452-467.
[Artikel, refereegranskad vetenskaplig]

The purpose of this article is to investigate how the manufacturing process, the shop type and the data quality, i.e. the shop floor characteristics, influence the use of advanced planning and scheduling (APS) systems in production activity and control (PAC). The methodology implemented is a multiple case study at three case companies. Each company has different shop floor characteristics, but all use a scheduling module in an APS system, which supports production scheduling. A theoretical framework is developed suggesting how APS system are used in the PAC activities, and which major aspect to consider. The case analysis shows that the scheduling module in APS system, foremost supports sequencing and dispatching. In particular, the shop type is influenced by the decision of how often the APS runs and what freedom is given to the shop floor. The manufacturing process influences how the dispatch list is created. Contrary to the literature presuming that APS systems are most suitable in job shop processes, it is found that the manufacturing process is not a crucial factor when deciding whether APS systems are an appropriate investment. It is found that the level of data quality needed in the APS system depends to a large extent on how the dispatch list is used. For example, is the dispatch list used as a guideline, not a regulation, the need for accurate data in the module is reduced. This article extends the previous literature concerning APS systems by analysing how APS systems influence PAC as a whole and increase the understanding of the challenges of using APS systems in PAC.

Nyckelord: production planning and control, advanced planning and scheduling system, manufacturing process, decision-support, aps

Denna post skapades 2012-06-26.
CPL Pubid: 159554


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Institutioner (Chalmers)

Institutionen för teknikens ekonomi och organisation, Logistik och transport (2005-2016)


Industriell teknik och ekonomi

Chalmers infrastruktur

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Use of Advanced Planning and Scheduling (APS) systems to support manufacturing planning and control processes