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Addressing Food Waste and Loss in Nigerian Food Supply Chain: Use of Lean Six Sigma and Double-Loop LearningKolawole, Olushola A. January 2020 (has links)
The purpose of this research is to explore how Double Loop Learning (DLL) and Lean
Six Sigma tool (i.e. DMAIC-Defined, Measure, Analysis, Improvement, and Control)
can be used to reduce Food Waste and Loss (FWL) in the processing and distribution
units of the Food Supply Chain (FSC) in the developing countries. This study is
motivated base on the identified research problem of which about one-third of every
food produce is wasted yearly, which equates to 1.3 billion tonnes of food throughout
the entire food supply chain, with up to 50% of FWL occur at the pre-consumption
stage of FSC in the developing countries. The economic values of FWL in Sub-Saharan Africa amount to $230 billion yearly. Therefore, the focus has been on how
to reduce the magnitude of FWL at the pre-consumption stage of the FSC in the
developing countries while promoting continuous improvement practices.
Though technological, environmental, and Supply Chain Strategies (SCS) aimed at
reducing FWL are effective in some parts of the world but the effectiveness of those
strategies in some countries is hindered by poor supply chain activities. This research
adopted a qualitative research method through the use of multiple case study
strategies, with the aid of semi-structured interviews, observation, and documents to
explore the perception, understanding, and experience of the FSC stakeholders on
how DMAIC-DLL can be used to reduce FWL. The findings of this study show that with
the DMAIC-DLL framework, the root causes of FWL at the pre-consumption stage
were identified. The study found that some Lean tools, employee improvisation,
learning practices are some of the strategies that could be used in reducing FWL. The findings suggest that experiential learning, collaborative learning, and on-job training
are effective learning mechanisms that could be used to promote learning in the
adoption of DMAIC-DLL in the FSC.
Therefore, this research contributes towards the ongoing debate on how to reduce
FWL as well as the wider debate learning mechanisms that support continuous
improvement practices. Future research should explore how DMAIC-DLL can be
extended to other settings other than the food industry. / Federal Government of Nigeria through the Petroleum Trust
Development Fund (PTDF)
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