The food processing industry is growing with retailing and catering supply chains. Efficiency, safety, quality, service level and sustainability are key objectives in both food production and distribution systems. In particular, with the raising complexity of food products to meet consumers requirements and food habits, the food production system are progressively shifting from processing line to processing job-shops. Job-shop is the most complex manufacturing system configuration, affected by multiple items (i.e., food, toppings, dressings, ingredients), resources and machines, and complex working cycles. The generic working cycle is the result of multiple concurrent and not concurrent tasks (i.e., processing operations), carried out by different human and/or automatic resources in multiple working stations. These systems present several storage and buffering areas and many assembly tasks, which are critical for perishable products sensible to environmental and physical stresses. Logistic efficiency, cost reduction, food quality and food safety are key goals in managing the food production system. Aim of this paper is the development and application of an innovative interactive simulation-based platform for the design of a job-shop system in a manufacturing facility of perishable food products. This is the result of the integration of multiple models and supporting decision methods in capacity-constraints multiple resource environments. Several key performance indicators (KPI) can be evaluated, including logistics and operations metrics, product shelf-life erosion, energy consumptions, etc. A case study from catering industry demonstrates the effectiveness of the proposed simulation based modelling.
Penazzi, S., Accorsi, R., Ferrari, E., Manzini, R., Dunstall, S. (2015). A novel integrated decision support platform for the design and management of a job-shop manufacturing system of food perishable products. KS Pawar, H Rogers and E Ferrari.
A novel integrated decision support platform for the design and management of a job-shop manufacturing system of food perishable products
PENAZZI, STEFANO;ACCORSI, RICCARDO;FERRARI, EMILIO;MANZINI, RICCARDO;
2015
Abstract
The food processing industry is growing with retailing and catering supply chains. Efficiency, safety, quality, service level and sustainability are key objectives in both food production and distribution systems. In particular, with the raising complexity of food products to meet consumers requirements and food habits, the food production system are progressively shifting from processing line to processing job-shops. Job-shop is the most complex manufacturing system configuration, affected by multiple items (i.e., food, toppings, dressings, ingredients), resources and machines, and complex working cycles. The generic working cycle is the result of multiple concurrent and not concurrent tasks (i.e., processing operations), carried out by different human and/or automatic resources in multiple working stations. These systems present several storage and buffering areas and many assembly tasks, which are critical for perishable products sensible to environmental and physical stresses. Logistic efficiency, cost reduction, food quality and food safety are key goals in managing the food production system. Aim of this paper is the development and application of an innovative interactive simulation-based platform for the design of a job-shop system in a manufacturing facility of perishable food products. This is the result of the integration of multiple models and supporting decision methods in capacity-constraints multiple resource environments. Several key performance indicators (KPI) can be evaluated, including logistics and operations metrics, product shelf-life erosion, energy consumptions, etc. A case study from catering industry demonstrates the effectiveness of the proposed simulation based modelling.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
