Managing technician logistics

Abstract

Devices, systems and processes are described, for managing technician logistics. A process may include executing computer instruction for determining an estimated time of completion (ETC) for an assigned technician for a current task at a current service site. The ETC is determined based upon an average statistical time for task completion (ASTTC) for the current task. An ETC is based upon a stress differential (S) and a task complexity coefficient (TCC). The stress differential (S) is a difference between an expected stress level (SE) for the current task and a present stress level (SP) for the assigned technician. The SP is based upon data provided by a technician monitor, such as a biometric monitor. The stress differential (S) is weighted by a technician specific weighting factor (Tn), which is based on a technician rating. The TCC is based upon a task categorization (TC) specified by a regulatory body.

1 . (canceled) 
     
     
         2 . A server, managing technician logistics, comprising:
 a processor executing non-transient computer instructions which instruct the server to perform operations comprising:
 determining an Adjusted Average Statistical Time for Task Completion (AASTTC) for a current task, by an assigned technician, at a current service site; 
 determining a Task Complexity Coefficient (TCC) for the current task; 
 determining an estimated time to completion (ETC) for the current task;
 wherein: ETC =ASSTTC x TCC; 
 
 generating, based on the ETC, an estimated time of arrival (ETA) for the assigned technician at a first service site; and 
 communicating the ETA to a first user device associated with the first service site. 
   
     
     
         3 . The server of  claim 2 ,
 wherein the operations further comprise:
 determining an expected stress level (SE) for the assigned technician performing the current task; 
 determining a present stress level (SP) for the assigned technician performing the current task; and 
 determining a stress differential (S), wherein S=|SE−SP|. 
   
     
     
         4 . The server of  claim 3 ,
 wherein the operations further comprise:
 receiving monitored data, for the assigned technician, from a technician monitoring device;
 wherein the technician monitoring device includes two or more of a biometric monitor, a position monitor, a stress monitor, an activity monitor, and an environment monitor; and 
 
 second determining the SP based on the monitored data. 
   
     
     
         5 . The server of  claim 3 ,
 wherein the operations further comprise:
 obtaining an Average Statistical Time for Task Completion (ASTTC) for the current task; 
 determining a technician rating (TN) for the assigned technician; and 
 wherein AASTTC=ASTTC/(S×TN). 
   
     
     
         6 . The server of  claim 5 ,
 wherein the ASTTC is determined based upon prior completions of the current task by a team of two or more technicians associated with a given service provider; and   wherein the TCC is further determined based on the SP.   
     
     
         7 . The server of  claim 6 ,
 wherein the SE is empirically determined;   wherein the SE and the SP fall within one of a high stress level and a critical stress level;   wherein the TCC is based upon a task categorization (TC); and   wherein the TC corresponds to a high category or a critical category.   
     
     
         8 . The server of  claim 5 ,
 wherein the operations further comprise:
 second determining the TN based on a skill characteristic for the assigned technician. 
   
     
     
         9 . The server of  claim 5 ,
 wherein the operations further comprise:
 receiving environmental information (EI) for the current service site; and 
 second determining the technician rating (TN) based upon the EI. 
   
     
     
         10 . The server of  claim 9 ,
 wherein the operations further comprise:
 third determining the TN based on the EI and an environmental characteristic for the assigned technician. 
   
     
     
         11 . A non-transitory computer readable medium storing computer executable instructions, which when executed by one or more processors, cause a system managing technician logistics to perform operations, comprising:
 determining an Adjusted Average Statistical Time for Task Completion (AASTTC) for a current task, by an assigned technician, at a current service site;   determining a Task Complexity Coefficient (TCC) for the current task;   determining an estimated time of completion (ETC) for the current task;   wherein: ETC=ASSTTC×TCC;   generating, based on the ETC, an estimated time of arrival (ETA) for the assigned technician at a first service site; and   outputting the ETA to a first user device, for presentation by the first user device; and   wherein the first user device is associated with a user associated with the first service site.   
     
     
         12 . The non-transitory computer readable medium according to  claim 11 , wherein the computer executable instructions, which when executed by the one or more processors, cause the system managing technician logistics to further perform operations comprising:
 determining an expected stress level (SE) for the assigned technician performing the current task;   determining a present stress level (SP) for the assigned technician performing the current task; and   determining a stress differential (S), wherein S=|SE−SP|;   obtaining an Average Statistical Time for Task Completion (ASTTC) for the current task;   determining a technician rating (TN) for the assigned technician; and   wherein AASTTC=ASTTC/(S×TN).   
     
     
         13 . The non-transitory computer readable medium according to  claim 11 , wherein the computer executable instructions, which when executed by the one or more processors, cause the system managing technician logistics to further perform operations comprising:
 receiving monitored data, for the assigned technician, from a technician monitoring device; and
 wherein the technician monitoring device includes two or more of a biometric monitor, a position monitor, a stress monitor, an activity monitor, and an environment monitor; 
   second determining the AASTTC based on the monitored data.   
     
     
         14 . The non-transitory computer readable medium according to  claim 11 , wherein the computer executable instructions, which when executed by the one or more processors, cause the system managing technician logistics to further perform operations comprising:
 second determining the AASTTC based on a technician specific weighting factor; and   wherein the technician specific weighting factor is determined based on at least one technician characteristic.   
     
     
         15 . The non-transitory computer readable medium according to  claim 11 ,
 wherein the TCC is based upon a task categorization (TC); and   wherein the task categorization corresponds to one of a high category and a critical category.   
     
     
         16 . The non-transitory computer readable medium according to  claim 15 , wherein the computer executable instructions, which when executed by the one or more processors, cause the system managing technician logistics to further perform operations comprising:
 receiving monitored data, for the assigned technician, from a technician monitoring device;
 wherein the technician monitoring device includes two or more of a biometric monitor, a position monitor, a stress monitor, an activity monitor, and an environment monitor; 
   determining a present stress level (SP) for the assigned technician based on the monitored data; and   further determining the TCC based on the SP.   
     
     
         17 . A technician device comprising:
 a monitor interface, coupling the technician device with at least one monitoring device;
 wherein the at least one monitoring device provides:
 past monitored data during two or more past performances of a given task by an assigned technician; and 
 current monitored data during a current performance of the given task, by the assigned technician, at a current task site; 
 
   a data store non-transiently storing the past monitored data;   a first processor executing non-transient computer instructions that instruct the technician device to perform operations comprising:
 retrieving the past monitored data from the data store; and 
 receiving the current monitored data from the at least one monitoring device; and 
   wherein, by at least one of the first processor and one or more second processors and based on the past monitored data, an average statistical time for task completion (ASTTC) of the given task is determined;   wherein the one or more second processors are communicatively coupled to the first processor;   wherein the given task is associated with a task complexity coefficient (TCC);   wherein, by at least one of the first processor and the one or more second processors, an estimated time to completion (ETC) for the current performance of the given task is determined; and   wherein the ETC is a function of the TCC times an adjusted ASTTC (AASTTC).   
     
     
         18 . The technician device of  claim 17 ,
 wherein determinations made by the first processor and the one or more second processors, include:
 based on the past monitored data,
 a technician specific weighting factor (TN), and 
 an expected stress level (SE) for the current performance of the given task by the assigned technician; 
 
 based on the current monitored data,
 a current stress level (SP) during the current performance of the given task by the assigned technician; 
 
 a stress differential (S)=|SE−SP|; and 
 AASTTC=ASTTC/(S×TN). 
   
     
     
         19 . The technician device of  claim 18 ,
 wherein the TCC is determined based on SP.   
     
     
         20 . The technician device of  claim 19 ,
 wherein the TN is determined based upon environmental information for the current task site and at least one machine learning process, executed by a processor coupled to the technician device, utilizing at least two of a skill characteristic, an environmental characteristic, and a technician preference.   
     
     
         21 . The technician device of  claim 20 ,
 wherein the TCC is based upon a task categorization (TC); and   wherein the TC corresponds to a high category or a critical category.