A systematic literature review of modelling approaches and implementation of enabling software for supply chain planning in the food industry

Stüve, David and van der Meer, Robert and Ali Agha, Mouhamad Shaker and Lütke Entrup, Matthias (2022) A systematic literature review of modelling approaches and implementation of enabling software for supply chain planning in the food industry. Production and Manufacturing Research, 10 (1). pp. 470-493. ISSN 2169-3277 (https://doi.org/10.1080/21693277.2022.2091057)

[thumbnail of Stuve-etal-PMR-2022-A-systematic-literature-review-of-modelling-approaches-and-implementation-of-enabling-software]
Preview
 Text. Filename: Stuve_etal_PMR_2022_A_systematic_literature_review_of_modelling_approaches_and_implementation_of_enabling_software.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (2MB)| Preview

Abstract

Advanced Planning Systems (APS) can contribute to improved decision-making and enhanced efficiency along complex food supply chains. This paper presents a systematic literature review of three increasingly important supply chain planning (SCP) tasks supported by APS, namely Supply Chain Network Design (SCND), Sales & Operations Planning (S&OP) and Production Planning & Scheduling (PP&S). Furthermore, academic literature on the implementation of software tools for SCP practices is investigated. The literature review reveals that multiple models for SCP practices have been developed. Empirical literature including case studies on the implementation of APS is sparse. The findings suggest that developed models for the examined planning tasks are implemented to a limited extent in practice. The study can help practitioners in the food industry to get insights regarding the opportunities by the areas of SCP examined in this paper. A theoretical framework providing research propositions to enhance the understanding of APS implementation is introduced.

CORE (COnnecting REpositories)