Abstract: Techniques for assigning various operations to itineraries that can be assigned to personnel. A plurality of tags relating to past instances of a plurality of various operations are retrieved from an electronic data source. Each tag includes a first symbol representing a magnitude of time variance for a respective operation of the various operations and a second symbol representing a likelihood of time variance for the respective operation. The plurality of tags are parsed, and a plurality of predicted time variances are determined. A first predicted time variance is selected for a first operation based on a reliability factor. A combination of operations is identified, and a likelihood that the combination of operations does not exceed at least one personal limit of personnel is determined. An itinerary that includes the identified combination of operations is generated. Personnel are automatically tasked to perform the operations of the generated itinerary.

Abstract: Methods, apparatuses, and computer program products are provided for automatically identifying a shortest duration of time for an aspect of an operation. Electronic data related to instances of past operations of at least one vehicle is received. The data comprises respective available durations of time and actual durations of time for an aspect of the past operations. A candidate data set is generated by removing data related to past operations identified as isolated instances of available durations of time and actual durations of time. A mathematical function is generated that fits the candidate data set. An instance from the candidate data set with the shortest actual duration of time that is less than a threshold distance from the mathematical function is identified. The actual duration of time for the identified instance is assigned as a future duration of time for future operations of the at least one vehicle.

Abstract: Priority based personnel assignment optimization is provided by retrieving, from a first network storage location, respective historical operation data for each flight segment of a plurality of flight segments; retrieving predefined ranking data that ranks the plurality of flight segments according to one or more predefined criteria including a maintenance priority for an aircraft assigned to each of the plurality of flight segments; assigning, using the predefined ranking data, a respective priority level to each flight segment of the plurality of flight segments, each priority level selected from a plurality of predefined priority levels; generating a first itinerary including a first flight segment of the plurality of flight segments, wherein the first flight segment has a predefined highest priority level of the plurality of predefined priority levels; and storing the assigned first itinerary to a second network storage location.

Abstract: Techniques for assigning various operations to itineraries that can be assigned to personnel. A plurality of tags relating to past instances of a plurality of various operations are retrieved from an electronic data source. Each tag includes a first symbol representing a magnitude of time variance for a respective operation of the various operations and a second symbol representing a likelihood of time variance for the respective operation. The plurality of tags are parsed, and a plurality of predicted time variances are determined. A first predicted time variance is selected for a first operation based on a reliability factor. A combination of operations is identified, and a likelihood that the combination of operations does not exceed at least one personal limit of personnel is determined. An itinerary that includes the identified combination of operations is generated. Personnel are automatically tasked to perform the operations of the generated itinerary.

Abstract: Method, system, and computer program product for assigning various operations to itineraries that can be assigned to personnel. Past instances of an operation are analyzed to determine at least one time variance associated with a reliability factor. A combination of operations, with the respective at least one predicted time variance, that does not exceed at least one personal limit of personnel can be identified. The identified combination can be assigned to an itinerary.

Abstract: Method and apparatus for generating and outputting dynamic variance reports for vehicle operations. The dynamic variance reports enable a vehicle operations scheduler to understand trends, patterns, or the like in variances between planned vehicle operations and actual vehicle operations. The understanding of the variances provided by the dynamic variance reports enable the scheduler to apply buffers to vehicle operations plans so that planned vehicle operations more closely match actual vehicle operations and crew assignments are less likely to be disrupted.

Abstract: Methods, apparatuses, and computer program products are provided for automatically identifying a shortest duration of time for an aspect of an operation. Electronic data related to instances of past operations of at least one vehicle is received. The data comprises respective available durations of time and actual durations of time for an aspect of the past operations. A candidate data set is generated by removing data related to past operations identified as isolated instances of available durations of time and actual durations of time. A mathematical function is generated that fits the candidate data set. An instance from the candidate data set with the shortest actual duration of time that is less than a threshold distance from the mathematical function is identified. The actual duration of time for the identified instance is assigned as a future duration of time for future operations of the at least one vehicle.

Abstract: Method and apparatus for statistically determining buffers for time variances for scheduled operations. Buffers for a particular operation can be based on a statistical analysis of past instances of the specific operation, and a buffer can be applied based on a selected statistical confidence interval. The statistical analysis can include determining a Gumbel distribution for time variances for a particular operation. Once buffers have been determined for the various operations, itineraries of operations can be prepared such that the scheduled times plus the buffer times for the operations in an itinerary do not exceed personnel limits of the personnel who may be assigned to the itineraries.

Abstract: Method and apparatus for statistically determining buffers for time variances for scheduled operations. Buffers for a particular operation can be based on a statistical analysis of past instances of the specific operation, and a buffer can be applied based on a selected statistical confidence interval. The statistical analysis can include determining a Gumbel distribution for time variances for a particular operation. Once buffers have been determined for the various operations, itineraries of operations can be prepared such that the scheduled times plus the buffer times for the operations in an itinerary do not exceed personnel limits of the personnel who may be assigned to the itineraries.

Abstract: Method and apparatus for generating and outputting dynamic variance reports for vehicle operations. The dynamic variance reports enable a vehicle operations scheduler to understand trends, patterns, or the like in variances between planned vehicle operations and actual vehicle operations. The understanding of the variances provided by the dynamic variance reports enable the scheduler to apply buffers to vehicle operations plans so that planned vehicle operations more closely match actual vehicle operations and crew assignments are less likely to be disrupted.

Abstract: Described herein is a system for a mobile platform includes a storage compartment that defines an interior space. The storage compartment forms part of the mobile platform. Further, the storage compartment is operable to physically separate the interior space from an exterior space. The system also includes a visual indicator that provides to the exterior space a visual indication of a storage capacity status of the interior space of the storage compartment.

Abstract: Method and apparatus for generating and outputting dynamic variance reports for vehicle operations. The dynamic variance reports enable a vehicle operations scheduler to understand trends, patterns, or the like in variances between planned vehicle operations and actual vehicle operations. The understanding of the variances provided by the dynamic variance reports enable the scheduler to apply buffers to vehicle operations plans so that planned vehicle operations more closely match actual vehicle operations and crew assignments are less likely to be disrupted.

Abstract: Method and apparatus for generating and outputting dynamic variance reports for vehicle operations. The dynamic variance reports enable a vehicle operations scheduler to understand trends, patterns, or the like in variances between planned vehicle operations and actual vehicle operations. The understanding of the variances provided by the dynamic variance reports enable the scheduler to apply buffers to vehicle operations plans so that planned vehicle operations more closely match actual vehicle operations and crew assignments are less likely to be disrupted.

Abstract: Described herein is a system for a mobile platform includes a storage compartment that defines an interior space. The storage compartment forms part of the mobile platform. Further, the storage compartment is operable to physically separate the interior space from an exterior space. The system also includes a visual indicator that provides to the exterior space a visual indication of a storage capacity status of the interior space of the storage compartment.

Abstract: For analyzing pairing reliability is disclosed, an apparatus, a method, and a computer program product are disclosed. The apparatus may include a pairing schedule module that receives a crew pairing and a history module that retrieves historical performance data for at least one connectable leg in the crew pairing. The crew pairing includes two or more connectable legs. The apparatus, in some embodiments, includes a limitation module that identifies one or more operation limitations applicable to the crew pairing and a reliability module that calculates a reliability factor for the crew pairing based on the historical performance data. The reliability factor indicates a probability that the crew pairing will comply with the one or more operation limitations.

Abstract: Method, system, and computer program product for assigning various operations to itineraries that can be assigned to personnel. Past instances of an operation are analyzed to determine at least one time variance associated with a reliability factor. A combination of operations, with the respective at least one predicted time variance, that does not exceed at least one personal limit of personnel can be identified. The identified combination can be assigned to an itinerary.

Abstract: Method and apparatus for statistically determining buffers for time variances for scheduled operations. Buffers for a particular operation can be based on a statistical analysis of past instances of the specific operation, and a buffer can be applied based on a selected statistical confidence interval. The statistical analysis can include determining a Gumbel distribution for time variances for a particular operation. Once buffers have been determined for the various operations, itineraries of operations can be prepared such that the scheduled times plus the buffer times for the operations in an itinerary do not exceed personnel limits of the personnel who may be assigned to the itineraries.

Abstract: Method, system, and computer program product for assigning personnel to various operations. Priority rankings for each of the operations can be assigned, and each of the operations can include at least one personnel time limit criterion based on the priority ranking At least one personal time limit can be calculated for each person from among the personnel.