As part of his secondment to ALSIA, Manuel Díaz from UPV conducted a teaching session on “Mathematical programming approaches for procurement in water irrigation systems”.
The development tools used to improve water management acquire special relevance, particularly when the area has a high water resource deficit. Currently, this problem is present in many countries as a result of the increase in population, the decrease in water resources and the increase in energy prices. Mathematical programming is an analytical procedure to determine the optimum allocation of scarce resources. These allocation problems can be presented in very different ways. In this sense, mathematical programming techniques are employed in a large number of problems, such as production planning, supplier selection, transport and distribution problems, forest planning or scheduling flights, among others. The goal of this teaching session was to introduce the audience in the use of mathematical programming for addressing the replenishment process in a local irrigation network with the aim to decide what volume is procured (source, quantity and timetable) as well as what volume is stored while minimizing the involved total costs. A review of different mathematical programming approaches for addressing this type of problems was presented, and finally, a case study from a real water irrigation network was used to demonstrate the benefits of mathematical programming as a decision making tool.
Group decision making in agriculture: Mathematical programming model + Group Decision Support System approach
As part of her secondment to ALSIA, Ana Esteso from UPV conducted a teaching session. At the session, an introduction to the group decision making in agriculture was presented. For that, an approach comprised by a multi-objective mathematical programming model and a group decision support system was employed to centrally plan the planting and harvest of crops. The main complexity of this planning problem is that prices of products are highly dependent on demand-supply balance. So, decisions made by one farmer will impact on the margin to be obtained by the rest of farmers. This could be solved by centrally planning the planting and harvest of products, but new problems could arise due to the inequalities between farmers and consequently, their unwillingness to collaborate. A multi-objective mathematical programming model to centrally plan the planting and harvest of three types of tomatoes is proposed. Three objectives related to three dimensions of sustainability are optimized by using the ε-constraint method. Ten non-dominated optimal solutions are obtained and included in the group decision support system named GRUS as possible planning alternatives. Involved actors use the group decision support system to vote, in function of their preferences, the alternatives that better fit their needs. In this way, farmers collaboratively decide the solution to be implemented in farms. The involvement of farmers in decision-making process provokes the willingness to implement chosen decisions in real life. Results obtained by applying this group decision making approach to the Argentinean tomato case study are presented. Possible future lines for the improvement of such approach are commented and discussed with the audience.
The presentation is available for download here
In the context of his secondment to Riviera Produce, Raúl Poler (from UPV) conducted a teaching session on “Quantitative Models for Supply Chain Design and Management”. The session took place at the University of Plymouth.
A Supply Chain is a complex system of entities, people, resources and information involved in creating a product, purchasing materials and components, processing them, assembly the final product and delivering it, from various steps of suppliers to the final customer. To achieve a good performance in a Supply Chain there are lot of decisions which should be optimized, at different levels (strategic, tactical and operational) and different steps (purchase, production, delivery, transport, etc.). Quantitative Models applied to Supply Chain problems support decision-makers to achieve a good performance by selecting the optimum decisions among a myriad of alternatives. This training session aimed to provide the participants with a deep knowledge on creating mathematical modelling problems, related with Supply Chain, using an algebraic modelling language and a computer tool to solve it. The participants learner to create computable models from mathematical models, and test them using real or fictitious/realistic data. Models and data were be treated separately, creating the abstract model and storing the data in data sets, using a computer tool to obtain the model instance to send to the solver.
Management Production and Inventories: From EOQ/EPQ to ELSP and its extension with shelf life and transitive demand items
As part of her secondment to Riviera Produce, Pilar Vidal from UPV conducted a teaching session on “Management Production and Inventories: From EOQ/EPQ to ELSP and its extension with shelf life and transitive demand items“. At this session, the economic order quantity (EOQ) as one of the simplest and used models to control production and inventory was presented. Their extension to manufacturing systems, that is, economic production quantity (EPQ) was shown. How to implement basic production and inventory management policies using these models was detailed. The most basic inventory-management model is defined by the employed policy –reorder point (s,Q) periodic review (T,S), model (s,S) to name just a few- and its control parameters. It can be said that any of these models answer two basic questions: ‘when’ and ‘how much’ to order/manufacture. The ‘when’ question is usually addressed by either (or simultaneously) setting a stock level at which to reorder or stablishing specific moments of time when to reorder. The ‘how much’ question tends to be answered by either considering a stock level that serves as a reference to fill, or a fixed quantity that optimizes the affected costs. After that, Economic Lot Scheduling Problem (ELSP) was presented which occurs when EPQ deals with more than one item. The solution to the ELSP involves two critical decisions. On the one hand, there is the lot sizing problem. On the other hand, there is the scheduling decision, i.e. decide when items are produced so that the schedule is feasible. Some heuristics to implement ELSP approach were described. After that the particular case of a firm which package fresh vegetables was presented, describing the special characteristics of this framework regarding the management of the production and inventories.
Production Scheduling in a vegetable packing machine with uncertainty in the quality of the raw material
As part of his secondment to Riviera Produce, Pedro Gómez from UPV conducted a teaching session on “Production Scheduling in a vegetable packing machine with uncertainty in the quality of the raw material”. In the session, a description and several models of the packaging process of 3 product families (broccoli, cauliflower and mixed tray) were presented in a production system similar to that of 3 unrelated parallel machines. Several alternative models were considered in order to introduce the uncertainty in the quality of the raw material and to see how it affects the satisfied demand. After the presentation of the case, the resolution of a simple model was addressed by means of heuristic algorithms.
As part of a secondment to ALSIA, Andrés Boza García and Llanos Cuenca Gonzalez from UPV conducted a teaching session on ERP systems.
The session covered the following topics:
- Definition and Characteristics of ERP Systems
- Reason to Acquire Them
- Impact on Organisation
- Advantages and Disadvantages of ERP Systems
The material used in this session can be downloaded in pdf form from this link .
As part of his secondment to UNLP (Argentina) Amir Sakka from UT1C (France) conducted a teaching session on Group Decision Support Systems. The session was aimed at academics, researchers, and students of the Faculty of Agronomic Sciences and Forestry of the National University of La Plata. It is part of a series of activities that are central to work packages 10 and 12. The aim of these activities is to pilot UTC1 technology (the Grus system) in agriculture scenarios.
The material used in this session can be downloaded in pdf form from this link.
A video presenting an example session of the Grus system in agriculture was used for demonstration purposes. The demonstrator video is available on-line:
This teaching session will be followed by a hands on experiment to be conducted in the following days.
In June 20th, and June 22nd, Prof. Pascale Zarate, from Université Toulouse 1 Capitole conducted two teaching sessions. These sessions were specially aimed at researchers and academics from UPV and from AINIA respectively. The topic of these sessions was Group Decision Support Systems and how these system can improve group efficiency for decision making problems.
This activity is part of the teaching agenda of Prof. Zarate’s secondment to UPV that is currently taking place.
The presentation used during the teaching sessions is available for download here
On June 18th, in the context of her secondment to CNRISPA (Italy), Constanza Jana (INIA, Chile) conducted a teaching session on the various aspects of plant breeding, with particular focus on Artichoke. Plant breading requires in-depth knowledge of the target plant, and a clear definition of improvement goals. Plant breeding techniques are key in nowadays plant species domestication. In the present, only 30 of the 700 domesticated plant species are in use.
The session was targeted at students of the Liceo Scientifico “S. Simone” – Liceo Classico “D. Morea” – Conversano (BA).
On June 12th, Sigrid Vargas Schuldes from INIA Chile , held a teaching session at CNR-ISPA, aimed at CNR-ISPA researchers.
The topic of the session was climate change as an opportunity for sustainable horticultural production in the regions of Los Ríos y Los Lagos (South of Chile). Climate changes enables productive diversification, and new business opportunities specially for small farmers. It therefore calls for new research and development models with a focus on global and local adaptation.
The session presentation can be downloaded here
On June 12th Constanza Jana Ayala from INIA (Chile) conducted a teaching session in the context of her secondment to CNR-ISPA (Italy). The session started with an overview of the activities of INIA, with special focus in the work conducted at the Intihuasi Research Regional Center . After a brief introduction of all participants, the session moved on to discuss artichoke production in Chile and Italy. Topics of the session included evolution of production in the region, production methods, breeding methods and main crop health challenges and approaches.
Presentations used during the session can be downloaded from the following links
On June 5th, 2018, during the secondment to FEDACOVA (Spain), Dr. Juan Pablo MARTINEZ form INIA-La Cruz, Chile, conducted a RUC-APS teaching session for the dissemination activities of the H2020 RUC-APS project. He travelled to Valencia, Spain. The meeting discussed the role of the Agricultural Research Institute (INIA) in Chile. INIA generates and transfers knowledge and strategic technologies on a national scale, and also as provides with innovation methods to improves competitiveness in the agri-food sector. This session presented the methodologies that INIA applies to recover the local tomatoes with good organoleptic characteristics (colour, taste, and aroma). It also showed the variety of strategies to study the effect of the biocontrol on productivity and quality, to investigate the effect of rootstock on productivity and fruit quality and to use new local rootstock from local tomato varieties and wild tomato species. In addition to this, FEDACOVA’s audience was able to provide feedback regarding their experience in innovation for several domains such as productivity and fruit quality at harvest and postharvest.
RUC-APS thanks Sergio Barona, and Juanjo Rico for their hospitality and insightful feedback during Juan Pablo’s secondments and for supporting this RUC-APS teaching session.
On May 16, Jorge Hernandez led a teaching session on the use of conceptual models to visualize the value chain, specially targeted at researchers of INIA (Chile). This topic interesting for those who seek to develop projects at the level of the value chain and, therefore, use a standard methodology for the characterization of these. In this case, the SCOR methodology is used to conceptualize indicators and GRAI to visualize the flow of information and decisions.
Presentation is available for download here