Stüve, DavidDavidStüveMeer, Robert van derRobert van derMeerLütke Entrup, MatthiasMatthiasLütke EntrupAli Agha, Mouhamad ShakerMouhamad ShakerAli Agha2020-12-022020-12-022020-09-23Hamburg International Conference of Logistics (HICL) 29 : 317-353 (2020)http://hdl.handle.net/11420/8040Purpose: Advanced Planning Systems (APS) can contribute to improved decision-making and enhanced efficiency along complex food supply chains. This paper pre-sents a systematic literature review of supply chain planning (SCP) in the food indus-try. In particular, the literature on three increasingly important planning tasks sup-ported by APS is examined, namely Supply Chain Network Design, Sales & Opera-tions Planning and Production Planning & Scheduling. Methodology: A literature review is conducted by systematically collecting the ex-isting literature published between 1998 and 2020 and classifying it based on three planning tasks supported by APS modules (Supply Chain Network Design, Sales & Operations Planning and Production Planning & Scheduling). Furthermore, research papers are categorized according to the product under consideration, geographic re-gion and method. Findings: Multiple models for SCP practices have been developed. The modelling lit-erature is fragmented around specific challenges faced in food supply chains. Empir-ical literature including case studies on the implementation of APS is sparse. The findings suggest that developed models for the three examined planning tasks are only implemented to a limited extent in practice. Originality: This paper focuses on three planning tasks that are of increasing rele-vance for the food industry. The literature review can help practitioners within the food industry to get insights regarding the opportunities offered by the three soft-ware modules examined in this paper. Further research should be conducted in these areas to make literature on SCP more practically relevant for managers.enhttps://creativecommons.org/licenses/by-sa/4.0/LogisticsIndustry 4.0DigitalizationInnovationSupply Chain ManagementArtificial IntelligenceData ScienceWirtschaftHandel, Kommunikation, VerkehrConference Paper10.15480/882.3135https://www.epubli.de/shop/buch/Data-Science-and-Innovation-in-Supply-Chain-Management-Wolfgang-Kersten-9783753123462/10604710.15480/882.3135Kersten, WolfgangWolfgangKerstenBlecker, ThorstenThorstenBleckerRingle, Christian M.Christian M.RingleConference Paper