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

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 Desi...

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Bibliographic Details
Published inProduction & manufacturing research Vol. 10; no. 1; pp. 470 - 493
Main Authors Stüve, David, van der Meer, Robert, Ali Agha, Mouhamad Shaker, Lütke Entrup, Matthias
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 31.12.2022
Taylor & Francis Ltd
Taylor & Francis Group
Subjects
advanced planning systems
Consumers
Decision making
Food
food industry
Food supply
Integrated software
Literature reviews
Mathematical models
Production planning
Software utilities
Supply chain management
Supply chain planning
systematic literature review
Systematic review
Technology adoption
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Summary: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.
ISSN:2169-3277
2169-3277
DOI:10.1080/21693277.2022.2091057