Web-Books
im Austria-Forum
Austria-Forum
Web-Books
Informatik
Algorithms for Scheduling Problems
Seite - 60 -
  • Benutzer
  • Version
    • Vollversion
    • Textversion
  • Sprache
    • Deutsch
    • English - Englisch

Seite - 60 - in Algorithms for Scheduling Problems

Bild der Seite - 60 -

Bild der Seite - 60 - in Algorithms for Scheduling Problems

Text der Seite - 60 -

Algorithms 2018,11, 43 Parametersand indices: n numberof jobs m numberofmachines i, j job index i=0, . . . ,n, j=0, . . . ,n k machine index k=0, . . . ,m pjk processingtimeof job JjonmachineMk j=1, ...,n,k=1, ...,m dj duedateof job Jj j=1, ...,n B very largepositive integer, thevalueconsidered inSection5 is:B=100∑nj=1∑ m k=1pij J0 dummyjob—theïŹrst in thescheduling M0 dummymachine—theoreticallyconsideredbefore theïŹrst (physical)machine Decisionvariables: Cjk completiontimeof job JjonmachineMk j=0, ...,n,k=0, ...,m Uj equals1 if job Jj is just-in-timeor0otherwise j=1, ...,n xij equals1 if job Ji isassignedimmediatelybefore job Jjor0,otherwise j=0, ...,n, j=1, ...,n, i = j. ThemixedintegerprogrammingmodelgivenbyExpressions (1)–(12) isbasedontheapproach proposedbyDhouibetal. [16]. MaxZ= n ∑ j=1 Uj (1) Subject to: Cjk−Cik+B(1−xij)≄ pjk, i=0,. . . ,n, j=1,. . . ,n, i = j, k=1,. . . ,m (2) Cjk−Cj(k−1)≄ pjk, j=1,. . . ,n, k=1,. . . ,m (3) Cjm−B(1−Uj)≀ dj, j=1,. . . ,n (4) Cjm+B(1−Uj)≄ dj, j=1,. . . ,n (5) ∑nj=1x0j=1, (6) x0j+∑ni=1,i =j xij=1, j=1,. . . ,n (7) ∑nj=1,j =i xij≀1, i=0,. . . ,n (8) Cj0=0, j=0,. . . ,n (9) Cjk∈ +, j=0,. . . ,n, k=0,. . . ,m (10) Uj∈{0,1}, j=1,. . . ,n (11) xij∈{0,1}, i=0,. . . ,n, j=1,. . . ,n (12) TheoptimizationcriterionexpressedinEquation(1) is tomaximize thenumberof just-in-time jobs. Expressions inEquation (2) ensure the consistencyof the completion timesof jobs, that is, if job Ji immediatelyprecedes job Jj (i.e.,xij=1), thedifferencebetweentheircompletiontimesoneach machinemustbeat leastequal to theprocessingtimeof job Jjonthemachineconsidered;otherwise (if xij=0), if there isnorelationshipbetweenthecompletiontimesof thispairof jobs, thentheconstraints inEquation(2)areredundant.Constraints inEquation(3) require that thekthoperationof job Jjbe completedafter the (k−1)thoperationplus theprocessingtime(pjk).Generally, thevalueofB isan upperboundto themakespan. Theexpressions inEquations (4) and (5) jointly establish that thevariableUj equals 1 if job Jj ïŹnishes on timeor 0otherwise. When job Jj doesnotïŹnishon time, i.e.,Uj =0, these two sets of constraintsbecomeredundant. Theconstraints inEquation(6)ensure thatonlyone job isassignedto theïŹrstposition in thesequence (notconsideringthedummyjob J0). Theexpressions inEquation(7) 60
zurĂŒck zum  Buch Algorithms for Scheduling Problems"
Algorithms for Scheduling Problems
Titel
Algorithms for Scheduling Problems
Autoren
Frank Werner
Larysa Burtseva
Yuri Sotskov
Herausgeber
MDPI
Ort
Basel
Datum
2018
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-03897-120-7
Abmessungen
17.0 x 24.4 cm
Seiten
212
Schlagwörter
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
Kategorien
Informatik
Technik
Web-Books
Bibliothek
Datenschutz
Impressum
Austria-Forum
Austria-Forum
Web-Books
Algorithms for Scheduling Problems