The multi-objective optimization approach is gaining influence in the management of production scheduling. The goal of the optimization is to find a production schedule that satisfies different, contradictory production and business constraints. We implemented a memetic version of the IBEA algorithm, with customized reproduction operators and local search procedures to find a set of feasible, non-dominated solutions. Such an algorithm was applied to two real order lists from a production company. We lay out an efficient presentation of the multi-objective results for decision support. Management can flexibly view all the possible solutions in the light of any given business conditions. The production schedule may be instantaneously adapted by adjusting the decision criteria. This provides the management with the possibility to gain additional insights into how the production schedule reacts to changes in the weight of each criterion. This facilitates management's decision-making. Now they can see its full effects prior to making a decision effective. We show that the multi-objective approach is able to find high-quality solutions, which enables flexibility when it comes to quickly adapting to specific business conditions.
F.14 Improvements to existing production methods and tools or processes
COBISS.SI-ID: 26777127Slovenian food composition database (FCDB) is generated systematically in the frames of national projects. The preliminary FCDB was created in 2003 applying the Alimenta nutritional software. Data comprised were of differing quality. In the next project data on composition of meat and meat products of Slovenian origin were aggregated from analyses and the preliminary FCDB was reassessed and low-quality values were discarded. The first volume of Slovenian FCDB with information about meat and meat products was published in 2006 in electronic and paper version. When Slovenia joined EuroFIR Noe harmonized standards and LanguaL indexing system were adopted. Nutritional software Optijed was developed and was later upgraded to the Open Platform for Clinical Nutrition (OPEN). This is at the same time also electronic version of FCDB, currently comprising 620 food items, and the Slovenian node in the EuroFIR virtual information platform. With assimilation of data obtained in the latest project, focused on composition of foods of plant origin from our ecosystem that are indigenous or typical of Slovenia and frequently consumed, Slovenia will acquire a good source of food compositional values of consistent and compatible quality.
F.15 Development of a new information system/databases
COBISS.SI-ID: 4197496This paper presents metaheuristic approaches for solving a constrained transportation scheduling problem. The transportation scheduling case is especially useful in emergency/rescue situations (like floods, earthquakes, etc...), when large amounts of goods have to be transported from one depot to another as quickly as possible, and with the limited number of available vehicles. In emergency situations we are often limited to road transportation, since air, rail or water transportation are either unavailable, damaged, or slow. Since usually the infrastructure cannot be optimized ad-hoc, the efficiency can be improved mainly by the optimization of vehicle fleet and the operations sequence/schedule. To evaluate the efficiency of the presented approaches, they were tested with various tasks based on realistic data. Each task was evaluated using group and free transportation approach. Both scenarios are possible and the choice mainly depends on the characteristics of the emergency situation. If safety is the main concern then convoy is the preferred way, if speed is more important, then a free transportation is a more suitable option.
F.23 Development of new system-wide, normative and programme solutions, and methods
COBISS.SI-ID: 26646311We have developed a hybrid inertial sensors and camera based indoor pedestrian dead reckoning system, that could be used for person navigation in demanding environments. An inertial unit, a camera and a marker are rigidly attached to the shue, making the solution self-contained. To limit the error growth with time, a well-known issue with inertial sensors, computer vision-derived position measurements at some time instances are fed to a complementary unscented Kalman filter,enhancing the accuracy of the estimated travelled path.
F.09 Development of a new technological process or technology
COBISS.SI-ID: 10040148Objective To develop and validate an electronic FFQ that estimates the food and nutrient intakes, especially fat intake, in a healthy, adult population from the coastal (Mediterranean) part of Slovenia.Design A new electronic FFQ was developed for a survey entitled A multidisciplinary approach in the treatment of obesity, conducted at the University of Primorska, and validated against a 3 d weighed food record (FR).Setting Coastal region of Slovenia.Subjects Our study population included eighty-five healthy adults aged 2549 years, recruited from the local coastal region of Slovenia. Intakes of food groups, macronutrients and energy, estimated by the FR and the FFQ, were compared using correlation coefficients, cross-classification and BlandAltman plots.Results The mean value of most nutrient intakes tended to be higher in the FFQ compared with the FR, except for carbohydrate, fibre and energy. Regression analysis demonstrated an acceptable agreement between the FFQ and FR. The FFQ was moderately correlated with the FR (030054), and most of the correlations increased after energy adjustment and after de-attenuation. Relatively high (more than 70 %) proportions of participants were correctly classified into the same or an adjacent quartile. BlandAltman analysis confirmed an acceptable level of agreement between the two methods.Conclusions The electronic FFQ, developed for a healthy adult Slovene population from the coastal region, was shown to be a valid tool to assess food group and nutrient intakes, especially fat intakes, and to rank individuals by their intakes within genenutrient studies.
F.21 Development of new health/diagnostic methods/procedures
COBISS.SI-ID: 512424761