Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 562666
Title Decision support in hierarchical planning systems : The case of procurement planning in oil refining industries
Author(s) Kallestrup, Kasper Bislev; Lynge, Lasse Hadberg; Akkerman, Renzo; Oddsdottir, Thordis Anna
Source Decision support systems 68 (2014). - ISSN 0167-9236 - p. 49 - 63.
DOI https://doi.org/10.1016/j.dss.2014.09.003
Publication type Refereed Article in a scientific journal
Publication year 2014
Keyword(s) Advanced planning systems - Crude oil operations - Hierarchical planning - Procurement planning
Abstract

In this paper, we discuss the development of decision support systems for hierarchically structured planning approaches, such as commercially available advanced planning systems. We develop a framework to show how such a decision support system can be designed with the existing organization in mind, and how a decision process and corresponding software can be developed from this basis. Building on well-known hierarchical planning concepts, we include the typical anticipation mechanisms used in such systems to be able to decompose planning problems, both from the perspective of the planning problem and from the perspective of the organizational aspects involved. To exemplify and develop our framework, we use a case study of crude oil procurement planning in the refining industry. The results of the case study indicate an improved organizational embedding of the DSS, leading to significant savings in terms of planning efforts and procurement costs. In general, our framework aims to support the continuous improvement of advanced planning systems, increasing planning quality in complex supply chain settings.

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