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Journal of Scheduling
John Wiley & Sons, Ltd.
 
   
 
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  1-10 of 11 reviews Date Reviewed 
  A solution approach based on Benders decomposition for the preventive maintenance scheduling problem of a stochastic large-scale energy system
Lusby R., Muller L., Petersen B. Journal of Scheduling 16(6): 605-628, 2013.  Type: Article

The 2010 challenge problem from the French Operations Research Society (FORS) required participants to determine a minimum-cost production and maintenance schedule for a group of power plants, leading to a mixed-integer programming pro...

Feb 21 2014
  A distributed scheduler for air traffic flow management
Landry S., Farley T., Hoang T., Stein B. Journal of Scheduling 15(5): 537-551, 2012.  Type: Article

Landry et al. describe a distributed system for scheduling air traffic. The system is greedy, so it does not produce an optimal solution, but it is flexible and operates in near real time, which is important given the application domai...

Apr 4 2013
  Worst case analysis of decomposed software pipelining for cyclic unitary RCPSP with precedence delays
Benabid A., Hanen C. Journal of Scheduling 14(5): 511-522, 2011.  Type: Article

Scheduling algorithms are infiltrating all aspects of life, as I recently found out when trying to order a dishwasher to be delivered on a particular date. (The retailer’s vehicle scheduling and route planning algorithm said ...

May 14 2012
  Case studies of successful train crew scheduling optimisation
Kwan R. Journal of Scheduling 14(5): 423-434, 2011.  Type: Article

Scheduling crews for rail line operations is a difficult (nondeterministic polynomial-time (NP) hard) problem to solve considering the limited resources available and the many considerations imposed on the problem, mainly of a regulato...

May 14 2012
  A water-flow algorithm for flexible flow shop scheduling with intermediate buffers
Tran T., Ng K. Journal of Scheduling 14(5): 483-500, 2011.  Type: Article

The title of this paper does not hint at the cleverness of the research described. Tran and Ng study the traditional industrial engineering challenge of how to best schedule jobs (often processed in parallel) when there are several ste...

May 9 2012
  A comparison of five heuristics for the multiple depot vehicle scheduling problem
Pepin A., Desaulniers G., Hertz A., Huisman D. Journal of Scheduling 12(1): 17-30, 2009.  Type: Article

The authors compare five heuristics for the multiple depot vehicle scheduling problem of determining the least cost schedule for vehicles assigned to several depots, such that each timetabled task is accomplished exactly once by each v...

Jun 4 2009
  A computational study of a cutting plane algorithm for university course timetabling
Avella P., Vasil’Ev I. Journal of Scheduling 8(6): 497-514, 2005.  Type: Article

Timetabling and scheduling problems occur in a variety of contexts, including university course schedules. According to this advanced paper, “given a set of courses, a set of teachers, a set of ... groups of students attendin...

Jul 17 2006
  Predictive, stochastic and dynamic extensions to aversion dynamics scheduling
Black G., McKay K., Messimer S. Journal of Scheduling 7(4): 277-292, 2004.  Type: Article

Averse-2, which uses aversion dynamics, adds real-world dynamics to the heuristic Averse-1, which anticipates future risky events by altering its schedule, and thereby mitigating risks. A claim is made that “by utilizing Aver...

Feb 11 2005
  Tight bounds on the competitive ratio on accommodating sequences for the seat reservation problem
Bach E., Boyar J., Epstein L., Favrholdt L., Jiang T., Larsen K., Lin G., Van Stee R. Journal of Scheduling 6(2): 131-147, 2003.  Type: Article

Given seats and stations, and assuming that is not less than the number of passengers, the seat reservation problem seeks to determine an online seat allocation scheme that maximizes ticket revenue, where every ticket has the same p...

Dec 21 2004
  Performance bounds of algorithms for scheduling advertisements on a Web page
Dawande M., Kumar S., Sriskandarajah C. Journal of Scheduling 6(4): 373-393, 2003.  Type: Article

Consider a set of n advertisements (called ads) A=A1, A2, ... , An, competing to be placed in a planning ho...

Nov 12 2004
 
 
 
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