The traceability allows, for each product, to sketch the manufacturing process through a system documentary, enabling to identify the operational structures involved, the products and the lots, to define the flows of production, packaging and distribution. Some researchers investigate the traceability within the firm, but little work has been carried out on the investigation of the traceability system over the whole supply chain. The supply-chain of fresh fruit produce has many links: producer/grower, warehouse, packing centre, distribution centre, retailers and finally the consumer. Each of these is a system itself that interacts with the other components of the supply-chain. The non-conformity could occur in each of these links, and could be monitored in any of the links. When a non-conformity occurs, the time to recall the product depends on many factors: lot size, the lead time for information spreading from link to link, product transit time among links, product storage procedures and times, the point in the supply chain where the problem occurred, and the point where is detected. To study with a system approach different scenarios for the recall procedure the authors realised a discrete event dynamic simulation model using Extendsim®. The case study is related to peaches distribution to assess the traceability performance of a supply chain during recall process. The model has activities typical of the supply chain such as transport, storage and packing. For each traceable unit (TU) defined by the user at the beginning, the model record all activities on a single item. Also, the inspection activity could operate in different modalities to improve the non-conformity found. Different methods and logistic solutions are compared to see the performance of the supply chain to recall products with some non-conformities. The model is connected to SQL database to ensure data input and result collection easy to elaborate. The model trace single items, even if they are packed together on the pallet, or they are purchased as a single item. In the paper is described the model framework and one practical example.

Traceability performance of peaches supply network

Patrizia Busato;Remigio Berruto;Alessandro Sopegno;Paolo Rota
2018-01-01

Abstract

The traceability allows, for each product, to sketch the manufacturing process through a system documentary, enabling to identify the operational structures involved, the products and the lots, to define the flows of production, packaging and distribution. Some researchers investigate the traceability within the firm, but little work has been carried out on the investigation of the traceability system over the whole supply chain. The supply-chain of fresh fruit produce has many links: producer/grower, warehouse, packing centre, distribution centre, retailers and finally the consumer. Each of these is a system itself that interacts with the other components of the supply-chain. The non-conformity could occur in each of these links, and could be monitored in any of the links. When a non-conformity occurs, the time to recall the product depends on many factors: lot size, the lead time for information spreading from link to link, product transit time among links, product storage procedures and times, the point in the supply chain where the problem occurred, and the point where is detected. To study with a system approach different scenarios for the recall procedure the authors realised a discrete event dynamic simulation model using Extendsim®. The case study is related to peaches distribution to assess the traceability performance of a supply chain during recall process. The model has activities typical of the supply chain such as transport, storage and packing. For each traceable unit (TU) defined by the user at the beginning, the model record all activities on a single item. Also, the inspection activity could operate in different modalities to improve the non-conformity found. Different methods and logistic solutions are compared to see the performance of the supply chain to recall products with some non-conformities. The model is connected to SQL database to ensure data input and result collection easy to elaborate. The model trace single items, even if they are packed together on the pallet, or they are purchased as a single item. In the paper is described the model framework and one practical example.
2018
12th International European Forum (Igls-Forum) - SYSTEM DYNAMICS AND INNOVATION IN FOOD NETWORKS 2018
Igls, Austria
February 05-09, 2018
PROCEEDINGS IN SYSTEM DYNAMICS AND INNOVATION IN FOOD NETWORKS 2018
University of Bonn
1
8
Traceability, Logistics, Dynamic simulation
Patrizia Busato, Remigio Berruto, Alessandro Sopegno, Paolo Rota
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1680012
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