A milk collection problem with blending

Paredes-Belmar, Germán; Marianov, Vladimir; Bronfman, Andrés; Obreque, Carlos; Lüer-Villagra, Armin

doi:10.1016/j.tre.2016.07.006

Cited by 38 publications

(9 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…RB may be regarded as an extension of the blending problem (BP) (whose model is detailed in section x4.1) where, unlike in standard BP, inputs are not pre-existing, such that their composition must be determined. Many papers dealing with one-stage blending problems were consulted in the agri-food sector (Paredes-Belmar et al, 2016;Steuer, 1984;Karmarkar and Rajaram, 2001;Bilgen and Ozkarahan, 2007;Yoon et al, 1997), mining sector (Kumral, 2003;Williams and Haley, 1959), petroleum sector (Oddsdottir et al, 2013;Bengtsson et al, 2013) and chemical sector (Montante et al, 2016; Jonuzaj and Adjiman, 2017 and many others). In all these papers, all the inputs are existing raw materials whose specifications are input data of the blending model.…”

Section: The Blending Problemmentioning

confidence: 99%

Reverse Blending: An economically efficient approach to the challenge of fertilizer mass customization

Benhamou

Giard

Khouloud

et al. 2020

International Journal of Production Economics

View full text Add to dashboard Cite

Reasoned fertilization, which is a major concern for sustainable and efficient agriculture, consists of applying customized fertilizers which requires a very large increase in the number of fertilizer formulae, involving increasing costs due to the multiplication of production batch, of storage areas and of transportation constraints. An alternative solution is given by adopting a Reverse Blending approach, which is a new Blending Problem where inputs are non-pre-existing composite materials that need to be defined in both number and composition, simultaneously with the quantities to be used in the blending process, such as to meet the specifications of a wide variety of outputs, while keeping their number as small as possible. This would replace the production of a large variety of small batches of fertilizers by few large batches of new composite materials whose blending may be performed close to end-users (delayed differentiation), delivering substantial production and logistics cost savings, well in excess of remote blending costs. Reverse Blending presents some analogies with the Pooling Problem which is a two-stage Blending Problem where primary inputs are existing raw materials. An adapted version of this problem may be used to facilitate the design of new composite materials used by Reverse Blending. This paper presents the Reverse Blending approach, whose modelling is based on a quadratic programming formulation, and a large case study to demonstrate its feasibility. Reverse Blending, therefore, may be a disruptive approach to successfully reengineer not only the fertilizer supply chain but any other industry operating in blending contexts to meet a great diversity.

show abstract

Section: The Blending Problemmentioning

confidence: 99%

Reverse Blending: An economically efficient approach to the challenge of fertilizer mass customization

Benhamou

Giard

Khouloud

et al. 2020

International Journal of Production Economics

View full text Add to dashboard Cite

show abstract

“…There are the scientific papers on operational planning of works in various sectors of the national economy (HOFSTRA et al, 2019;SKARŻYŃSKA;ABRAMCZUK, 2017;PAREDES-BELMAR et al, 2016;BENDOLY et al, 2010;BUIJS et al, 2016). They substantiated the expediency of systematic decision-making in the presence of a set of objects (milk provision points (Pps)), which is typical for LMHS.…”

Section: Introductionmentioning

confidence: 99%

“…It is proved in scientific papers (PAREDES-BELMAR, 2016;BENDOLY et al, 2010;BUIJS et al, 2016) that the content of LMHS works for a set of software should be substantiated systematically from a single center (milk processing enterprise (MPE)).…”

Section: Introductionmentioning

confidence: 99%

Managerial decisions in logistic systems of milk provision on variable production conditions

Tryhuba

Hridin

Slavina

et al. 2020

Ind. Jour. Manag. & Prod.

View full text Add to dashboard Cite

The study of the influence of variable production conditions and the work in logistics milk harvesting systems on the value indicators of their functioning has been carried out. A method that enables to solve the task of coordinating the content of work with variable production conditions is proposed. It has been established that there are seven variants of the content of work in logistics milk harvesting systems, each of which has its own specifics. Computer experiments were carried out using the developed simulation model of logistics processes implementation. On the example of the production conditions of the Brody district in the Lviv region, trends in changing the cost performance of logistics operations for various content during the year are established. On the basis of the defined cost indicators, specific costs of funds for the execution of logistic works for each of the variants of their content are determined. It is substantiated that effective performance of work in logistic systems of milk harvest requires operational planning of their content for each of the days of milk harvest season. The conducted studies will be useful for managers who perform operational planning in logistics milk harvesting systems.

show abstract

“…Furthermore, the research found that the use of an ALNS approach for multi-period vehicle routing problem was able to produce high-quality solutions for milk collection in Canada (Dayarian et al 2016). More recently, researchers considered the transport requirements of a sample case involving a large number of farms in a rural region of Chile (Paredes-Belmar et al 2016, 2017 The researchers investigated the trade-off between lower costs of transportation and segregated collection of different blends of milk. Blending of milk from different milk suppliers in a tanker is an important consideration when dealing with the collection of different quality or grades of milk from different suppliers.…”

Section: Introductionmentioning

confidence: 99%

A dynamic decision support model for the seasonal transportation of raw milk

O’Callaghan

O’Connor

Goulding

2020

Int J of Dairy Tech

View full text Add to dashboard Cite

This paper presents a seasonal transportation of raw milk (SToRM) model. Irish raw milk collection is estimated to annually cost in excess of €80 million. Employing a capacitated vehicle routing problem (CVRP) methodology and incorporating geographic information system (GIS) data, SToRM simulates a two‐day collection schedule using the Irish road network. Differences of over 60% in total route distance required between January (trough) and May (peak) were observed. However, varied seasonal patterns did not dramatically affect overall transport needs. Results highlight the need for dynamic scheduling. SToRM provides practitioners access to a powerful model for use in milk collection scheduling.

show abstract

A milk collection problem with blending

Cited by 38 publications

References 43 publications

Reverse Blending: An economically efficient approach to the challenge of fertilizer mass customization

Reverse Blending: An economically efficient approach to the challenge of fertilizer mass customization

Managerial decisions in logistic systems of milk provision on variable production conditions

A dynamic decision support model for the seasonal transportation of raw milk

Contact Info

Product

Resources

About