Naslov Optimizacija digitalne grafičke pripreme korištenjem skriptnih jezika Naslov (engleski) Digital prepress optimisation using scripting languages Autor Sanja Brekalo Mentor Klaudio Pap (mentor)Član povjerenstva Vilko Žiljak (član povjerenstva)Član povjerenstva Antun Koren (član povjerenstva)Član povjerenstva Mario Barišić (član povjerenstva) Član povjerenstva Nikola Mrvac (član povjerenstva) Član povjerenstva Zvonimir Sabati (član povjerenstva) Ustanova koja je dodijelila Sveučilište u Zagrebu Datum i država obrane 2015-11-27, Hrvatska Znanstveno / umjetničko TEHNIČKE ZNANOSTI Univerzalna decimalna klasifikacijaUDC ) 655 - Grafička industrija. Tiskarstvo. Izdavaštvo. Knjižarstvo Sažetak Implementiranjem novih mogućnosti u postojeće programe za stolno izdavaštvo
moguće je optimizirati procese digitalne grafičke pripreme. Skriptni programi koji izvršavaju
izradu prijeloma, pod određenim uvjetima, mogu ubrzati i automatizirati digitalnu grafičku
pripremu te smanjiti broj pogrešaka kod formatiranja dokumenta. Temeljem analize
proizvodnih procesa izneseni su kriteriji pri odabiru procesa digitalne grafičke pripreme za
optimizaciju korištenjem skriptnih tehnologija. Predloženi su novi modeli za rješavanje
složenih zadataka grafičke pripreme kojima se unaprjeđuju postupci ubacivanja, zamjene i
oblikovanja teksta i slika, ispravljanja pogrešaka u tekstu, izrade automatiziranog prijeloma
periodičkih publikacija, automatizacije radnih procesa baziranih na XML-u, izrade montaže u
programu za prijelom, individualizacije i varijabilne grafičke pripreme. U radu se novi
izrađeni modeli za poboljšanje procesa u grafičkoj pripremi vrednuju naspram standardnih
procesa te se određuje nivo optimizacije mjerenjem vremena, određivanjem stupnja
postignute automatizacije te određivanjem pouzdanosti standardnih i unaprjeđenih modela
rada. Iz izvedenog istraživanja donijeti su zaključci o uštedama i prednostima koje se
dobivaju upotrebom skriptnih tehnologija te uvjeti za optimalnu upotrebu u standardnim
programima i metodama rada.
Sažetak (engleski) For quite some time the printing business has been under heavy pressure because of
overcapacity, dropping prices and the delocalization of the production to low income
countries. The graphic communications industry, like most other "manufacturing" industries
has increased pressure to drive cost down while simultaneously providing automation. Every
step in the graphic communications value chain is under scrutiny and a candidate for
refinement. To survive in this competitive world, printers have to invest in tools that reduce
production costs, create additional value for their customers and automate production
processes. Automation of workflow processes can provide tremendous value both in terms of
operational efficiency and revenue growth. The benefit of automation in graphic prepress lies
primarily in an increase of efficiency in the production of layout and imposition of repetitive
tasks by shortening lead time. Another benefit is cost reduction, since more work can be done
with fewer staff members.
Prepress processes can be optimised by implementing new features in the existing
desktop publishing programs. Scripting programs that execute layout process under certain
conditions can accelerate, automate and reduce the number of errors in digital prepress when
formatting documents. The main purpose of these theses is to spread the idea about computer
work optimisation in graphic prepress workflows. This research proves that improvements in
graphic prepress processes can be obtained by implementing new suggested models which use
scripting languages. Scripts can be written to execute just one task, complex scripts can
perform multiple tasks and some scripts automate the entire publishing process.
New models for solving complex tasks are proposed to enhance procedures of
inserting, replacing and formatting text and images, correcting errors in the text, making
automated layout of periodicals, automation of work processes based on XML, making
impositions in the layout program, individualization and variable prepress. Quantitative
research was carried out to determine achieved automation and time reduction by using
optimised processes. Prepress models for process improvement are evaluated against standard
processes, and the level of optimization is determined by measuring time, automation and
reliability levels of standard and enhanced models of operation. This proves the hypothesis
that features of workflow processes which quantify savings and benefits can be determined.
From conducted analysis of digital prepress 10 new script workflow models were
made. Each model was evaluated against standard production of the task. By graphic prepress
analysis and script execution evaluation findings about criteria in process selection for
optimisation with scripting technologies were made. Thesis also highlights savings and
benefits of using scripting technologies in graphic prepress. Thesis proves that by replacing
only certain tasks it is possible to automate digital prepress processes since there are tasks that
cannot be optimised. By analysis such tasks were described.
Special interest is given to the hypothesis which states that by adding new script
models to graphic prepress complex tasks that are otherwise hard to address can be optimally
achieved. The hypothesis was proven by implementing scripts that add new functionality to
the production in standard prepress programs.
With scripts that execute complex tasks execution period can be time consuming. This
paper also deals with written script optimization in order to shorten the time of its execution
and to identify factors that affect the script execution time.
Ključne riječi
digitalna grafička priprema
skriptiranje
ExtendScript
optimizacija
Ključne riječi (engleski)
digital graphic prepress
scripting
ExtendScript
optimisation
Jezik hrvatski URN:NBN urn:nbn:hr:216:510068 Studijski program Naziv: Grafičko inženjerstvo i oblikovanje grafičkih proizvoda Vrsta resursa Tekst Način izrade datoteke Izvorno digitalna Prava pristupa Otvoreni pristup Uvjeti korištenja Datum i vrijeme pohrane 2024-04-24 22:06:30
