Optimal batch scheduling of a multiproduct dairy process using a combined optimization/constraint programming approach

Escobet, Teresa; Puig, Vicenç; Quevedo, Joseba; Pala-Schonwalder, P.; Romera, Juli; Adelman, W.

doi:10.1016/j.compchemeng.2018.08.040

Cited by 18 publications

(3 citation statements)

References 20 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, the optimization of plant starting and stopping or sudden and unplanned modification of the process parameters can greatly affect costs and environmental impact. Scobet et al (2019) present the optimal batch scheduling of a multi-product dairy process using an approach that combines optimization and constraint programming techniques. A suitable model describing the subprocesses and production rules is developed allowing to obtain scheduling constraints relating the production process and the machines available together with their relative efficiencies.…”

Section: Demand Side Managementmentioning

confidence: 99%

Dynamic simulation driven design and management of production facilities in agricultural/food industry

Bianchi¹,

Catalano²,

Oliveto³

et al. 2021

Acta Hortic.

View full text Add to dashboard Cite

An industrial plant in the agro-food sector can be considered a complex system as it is composed of numerous types of machines and it is characterized by a strong variation (seasonality) in the agricultural production. Whenever the dynamic behavior of the plants during operation is considered, system and design complexities increase. Reliable operation of food processing farms is primarily dependent on perfect balance between variable supply and product storage at each given time. To date, the classical modus operandi of food processing management systems is carried out under stationary and average conditions. Moreover, most of the systems installed for agricultural and food industries are sized using average production data. This often results in a mismatch between the actual operation and the expected operation. Consequently, the system is not optimized for the needs of a specific company. Also, the system is not flexible to the evolution that the production process could possibly have in the future. Promising techniques useful to solve the above-described problems could possibly be borrowed from demand side management (DSM) in smart grid systems. Such techniques allow customers to make dynamically informed decisions regarding their energy demand and help the energy providers in reducing the peak load demand and reshape the load profile. DSM is successfully used to improve the energy management system and we conjecture that DSM could be suitably adapted to food processing management. In this paper we describe how DSM could be exploited in the intelligent management of production facilities serving agricultural and food industry. The main objective is, indeed, to present how methods for modelling and implementing the dynamic simulation used for the optimization of the energy management in smart grid systems can be applied to a fruit and vegetables processing plant through a suitable adaptation.

show abstract

Section: Demand Side Managementmentioning

confidence: 99%

Dynamic simulation driven design and management of production facilities in agricultural/food industry

Bianchi¹,

Catalano²,

Oliveto³

et al. 2021

Acta Hortic.

View full text Add to dashboard Cite

show abstract

“…Rajaram and Karmarkar (2004) analyzed planning and scheduling of multiproduct batch operations in the food-processing industry. Escobet et al (2019) presented the optimal batch scheduling of a multi-product process using optimization and constraint programming techniques. Batch management can be used to improve product quality in continuous manufacturing.…”

Section: Batch Management For Multi-project Managementmentioning

confidence: 99%

Batch-based agile program management approach for coordinating IT multi-project concurrent development

Yang

Wang

et al. 2021

Concurrent Engineering

View full text Add to dashboard Cite

Software development projects have undergone remarkable changes with the arrival of agile development approaches. Many firms are facing a need to use these approaches to manage entities consisting of multiple projects (i.e. programs) simultaneously and efficiently. New technologies such as big data provide a huge power and rich demand for the IT application system of the commercial bank which has the characteristics of multiple sub-projects, strong inter-project correlation, and numerous project participating teams. Hence, taking the IT program management of a bank in China as a case, we explore the methods to solve the problems in multi-project concurrent development practice through integrating the ideas of program and batch management. First, to coordinate the multi-project development process, this paper presents the batch-based agile program management approach that synthesizes concurrent engineering with agile methods. And we compare the application of batch management between software development projects and manufacturing process. Further, we analyze the concurrent multi-project development practice in the batch-based agile program management, including the overlapping between stages, individual project’s activities, and multiple projects based on common resources and environment to stimulate the knowledge transfer. Third, to facilitate the communication and coordination of batch-based program management, we present the double-level responsibility organizational structure of batch management.

show abstract

“…All these treatments, although effective, are related to high water and energy consumption, with the consequence that the dairy industry is considered one of the highest water and energy consuming sectors. In fact, more than 80% of the energy consumed in dairies is related to process heating, pasteurization, sterilization, drying and cleaning operations and 98% of the freshwater used is of drinking quality (Escobet et al, 2019). In Italy, depending on the type of milk, the expiration date or minimum shelf life is set either by the producer or by current regulations (Italian Republic, 2004 -Legge n. 204;Italian Republic, 2017 -Decreto legislative n. 231).…”

Section: Introductionmentioning

confidence: 99%

Effect of infrared technology on the behavior of <i>Listeria monocytogens</i>, <i>Salmonella</i> spp. and Enterobacteriaceae in homogenized raw vaccine milk: preliminary results

Savini,

Tomasello,

Indio

et al. 2024

Ital J Food Safety

View full text Add to dashboard Cite

Traditional heat treatments in the dairy industry are known for their high water and energy consumption, and more economically and environmentally friendly solutions are being sought. Infrared (IR) technology offers advantages in energy efficiency and environmental sustainability; however, its effectiveness in milk processing, particularly in pathogen inactivation, remains relatively unexplored. In this study, homogenized raw milk was subjected to IR treatment, and its impact on Listeria monocytogenes, Salmonella spp., and Enterobacteriaceae was assessed. Results indicate that the IR treatment effectively reduces the microbial load, achieving levels of inactivation comparable to conventional pasteurization methods (around 6 Log10 CFU/mL). Moreover, the treatment maintains milk pH levels, suggesting minimal alteration to its composition. Further research is needed to explore the full extent of IR treatment on milk sanitation efficacy, deeply exploring IR technology to fully assess its applicability and integration into dairy processing practices. Despite regulatory challenges, the Wir System Milk shows promise as a cost-effective and eco-friendly alternative for raw milk treatment.

show abstract

Optimal batch scheduling of a multiproduct dairy process using a combined optimization/constraint programming approach

Cited by 18 publications

References 20 publications

Dynamic simulation driven design and management of production facilities in agricultural/food industry

Dynamic simulation driven design and management of production facilities in agricultural/food industry

Batch-based agile program management approach for coordinating IT multi-project concurrent development

Effect of infrared technology on the behavior of <i>Listeria monocytogens</i>, <i>Salmonella</i> spp. and Enterobacteriaceae in homogenized raw vaccine milk: preliminary results

Contact Info

Product

Resources

About