Thesis

Supply chain planning in the food industry : empirical studies on the adoption of advanced planning systems

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Awarding institution
  • University of Strathclyde
Date of award
  • 2024
Thesis identifier
  • T16987
Person Identifier (Local)
  • 201993666
Department, School or Faculty
Abstract
  • Supply chain management in the food industry is challenging due to multiple factors such as the limited shelf life of food products. Supply chain planning (SCP) is required to balance the demand with the supply of products. Advanced planning systems (APS) constitute the technological means for sophisticated methods of SCP. APS can contribute to improved decision-making and enhanced efficiency along food supply chains. However, studies reveal limited implementation of APS in practice. This thesis investigates the level of APS implementation in the food industry and factors affecting the adoption of APS by means of mixed methods research comprising a survey among food producers and expert interviews. The study confirms the limited use of specialised software for SCP. Many food companies perform SCP tasks by basic functions of enterprise resource planning (ERP) systems. Lack of human resources and costs associated with implementation projects inhibit companies to adopt APS. Supply chain complexity induces food companies to adopt APS. Besides enhanced planning accuracy, the usability of APS is regarded as particularly important by companies. Based on the findings an adapted technology acceptance model (TAM) for the context of APS is established. In addition, the research provides practical advice how implementation projects can be facilitated. Companies need to ensure the availability of skilled employees, highlight process requirements, and prioritise data quality. Management support for the software implementation should be maintained throughout the project. Furthermore, companies should strategically reflect on SCP practices together with company goals to ensure proper software selection. The analysis of quantitative and qualitative data reveals a comprehensive view on APS implementation in the food industry. This is reinforced by the triangulation of different perspectives through interviews with food producers, software vendors and consultants. Limitations of this research and suggestions for future research are outlined in the concluding chapter of this thesis.
Advisor / supervisor
  • Meer, R. van der (Robert)
  • Lütke Entrup, Matthias
  • Shaker, Ali Agha Mouhamad
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