Reusable plastic containers (RPCs) prevent packaging waste in the food supply chains. Food Catering Supply Chain (FCSC) made of multi-stage logistic networks represents a challenging scenario for adopting RPCs to optimize, particularly when the container's flow meets the food supplies. This paper fosters the application of RPCs in such FCSC by proposing a food-ordering MILP model to aid the cross-docking player in selecting the suppliers and releasing packaged food orders efficiently. This model optimizes logistic costs and operations as well as the influence of the container pooler's facilities network in the FCSC. A numerical example extracted by a larger case study provides validation of the model and offers insights for future research investigations.
Ronzoni, M., Accorsi, R., Battarra, I., Guidani, B., Manzini, R., Rubini, S. (2022). Optimizing food ordering in a multi-stage catering supply chain network using reusable containers. Elsevier [10.1016/j.ifacol.2022.10.221].
Optimizing food ordering in a multi-stage catering supply chain network using reusable containers
Ronzoni, M.
Primo
Formal Analysis
;Accorsi, R.Secondo
Conceptualization
;Battarra, I.Membro del Collaboration Group
;Guidani, B.Data Curation
;Manzini, R.Penultimo
Funding Acquisition
;Rubini, S.Membro del Collaboration Group
2022
Abstract
Reusable plastic containers (RPCs) prevent packaging waste in the food supply chains. Food Catering Supply Chain (FCSC) made of multi-stage logistic networks represents a challenging scenario for adopting RPCs to optimize, particularly when the container's flow meets the food supplies. This paper fosters the application of RPCs in such FCSC by proposing a food-ordering MILP model to aid the cross-docking player in selecting the suppliers and releasing packaged food orders efficiently. This model optimizes logistic costs and operations as well as the influence of the container pooler's facilities network in the FCSC. A numerical example extracted by a larger case study provides validation of the model and offers insights for future research investigations.File | Dimensione | Formato | |
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