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Title:Uporaba metod matematičnega programiranja za določitev optimalne strukture kolobarja
Authors:ID Vinčec, Jožef (Author)
ID Pažek, Karmen (Mentor) More about this mentor... New window
Files:.pdf MAG_Vincec_Jozef_2012.pdf (1,40 MB)
MD5: AC1C2DA28B13A8489BBA5A7B6ABA7104
PID: 20.500.12556/dkum/bc1fe2ae-15bd-4b57-8b31-4dc9632237da
 
Language:Slovenian
Work type:Master's thesis
Organization:FKBV - Faculty of Agriculture and Life Sciences
Abstract:Glavni cilj magistrskega dela je določitev optimalne strukture kolobarja pod določenimi pogoji za modelno zelenjadarsko kmetijo. V ta namen so bila razvita 3 glavna podporna orodja, ki obsegajo naslednje delovne faze: 1. faza obsega razvoj tehnološko-ekonomsko simulacijskega modela 'Pr.KALK', s katerim se tehnološki podatki o posamezni pridelavi prenesejo v numerološko obliko, ki definira upravičenost pridelave. Izbrani podatki posamezne pridelave so nato preneseni v 2. fazo, za katero je zgrajen model 'Pr.OPTI'. Ta je namenjendoločitvi optimalne strukture kolobarja. Sestava kolobarja se nato prenese v 3. fazo, kjer s pomočjo orodja 'Pr.GANTT' na pregleden način upravljamo s planiranjem proizvodnje na kmetiji. V raziskavi sta predpostavljena 2 scenarija, po katerih se določa omejitev stroškov ročnega in strojnega dela ter strošek gnojenja. V prvem scenariju se omejitve postavijo 'ročno'. V drugem scenariju pa so omejitve določene s pomočjo metode linearnega programiranja, kjer so stroški predmet minimiranja in nato preneseni v model tehtanega ciljnega programiranja, nadgrajenega s kazensko funkcijo kot omejitvijo. Primerjava obeh postopkov nam kaže, da dobljeni rezultati s pomočjo metodologije po 2. scenariju v treh primerih od štirih generiranih v primerjavi s 1. scenarijem dosegajo višji finančni rezultat, kateri je opredeljen kot glavni cilj v modelnem orodju. Gantogramska tehnika je vpeljana v metodologijo načrtovanja kolobarja, kjer na pregleden način prikažemo tako celotni kolobar, kakor tudi časovne dogodke.
Keywords:simulacijski modeli, matematično programiranje, ciljno programiranje, gantogram, kolobar
Place of publishing:Maribor
Year of publishing:2012
PID:20.500.12556/DKUM-36743 New window
NUK URN:URN:SI:UM:DK:UBAPYM2S
Publication date in DKUM:26.07.2012
Views:2700
Downloads:355
Metadata:XML DC-XML DC-RDF
Categories:FKBV
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Secondary language

Language:English
Title:Application of mathematical programming methods to determine an optimal cropping plan
Abstract:The main goal of the master's thesis is to determine an optimal cropping plan for a model vegetable farm. For this purpose,three main support tools were developedincluding the following operations: the first stage is the development of a technological and economic simulation model 'Pr.KALK' with which individual pieces of technological data relating to the individual production are transferred into the numerological form, thus justifying the production. The selected pieces of data of each production are then transferred to the second phase for which the model 'Pr.OPTI' was developed with a view to determining an optimal cropping plan. The structure of the cropping plan is transferred to the third phase of the thesis where, with the assistance of the 'Pr.GANTT' model, we transparently manage the planning of the production on the farm. The researchpresents two possible scenarios to limit the costs of manual and mechanical labor and fertilizer costs. In the first scenario, the limit is set 'by hand'. In the second scenario, however, the limits are determined by the method of linear programming, where the costs are subject to minimization, and then transferred to the weighted goal programming model with penalty function as a restriction. The comparison of the two procedures shows that the results obtained using the methodology from the second scenario in three out of four generated cases compared to thefirst scenario achieve a higher financial result, which has been defined as the main goal. Gantogramic technique is introduced into themethodology of the designing process of the cropping plan where the whole cropping plans as well as temporal events are shownin a transparent way.
Keywords:simulation models, mathematical programming, goal programming, Gantt chart, crop rotation


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