CLIAMS:We claim:

1. A computer implemented method for managing productivity index in at least one of project management model or project delivery model, the method comprising:
generating a resource allocation model for fulfilling a project specification of a project, of a project, received from a client, wherein the resource allocation model is indicative of at least one of an hierarchical arrangement of a plurality of resource entities assigned to the project or the competency index of one or more of the plurality of resource entities assigned to the project;
identifying processes, associated with at least one of the project management model or the project delivery model, which have an efficiency/ productivity index less than a pre-defined efficiency/ productivity threshold;
amending the identified processes based on at least one of lean techniques or six sigma techniques, wherein the amendment enhances the efficiency/ productivity index to one of equal or exceed the pre-defined efficiency/ productivity threshold; and
modifying portions of a workbench for at least one resource entity, from amongst the plurality of resource entities, based on the resource allocation model and the amended processes.

2. The method as claimed in claim 1, wherein the method further comprises
identifying phases of the project which capable of being automated by analyzing the project specification using automation criteria; and
modifying the workbench based on the identified phases.

3. The method as claimed in claim 2, wherein the automation criteria comprises at least one of cognitive analytics rules, continuous integration rules, and bot implementation rules.

4. The method as claimed in claim 1, wherein the method further comprises:
assigning role of the at least one resource entity in the resource allocation model; and
assigning tasks of the project to the at least one resource entity based on the assigned role.

5. The method as claimed in claim 1, wherein generating the resource allocation model further comprises:
determining whether a task of the project is to be assigned to at least one of a robotic resource and a human resource, based on allocation rules;
ascertaining an implementation success ratio of the robotic resource on the task being assigned to a robotic resource; and
overriding the allocation of the task, to the robotic resource, on determining the implementation success ratio to be below a pre-defined threshold.

6. A project operations management system, for managing effectiveness index in at least one of project management model or project delivery model, the project operations management system comprising:
a processor;
a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution, cause the processor to:
generate a resource allocation model for fulfilling a project specification of a project, of a project, received from a client, wherein the resource allocation model is indicative of at least one of an hierarchical arrangement of a plurality of resource entities assigned to the project or the competency index of one or more of the plurality of resource entities assigned to the project;
identify processes, associated with at least one of the project management model or the project delivery model, which have an efficiency/ productivity index less than a pre-defined efficiency/ productivity threshold;
amend the identified processes based on at least one of lean techniques or six sigma techniques, wherein the amendment enhances the efficiency/ productivity index to one of equal or exceed the pre-defined efficiency/ productivity threshold; and
modify portions of a workbench for at least one resource entity, from amongst the plurality of resource entities, based on the resource allocation model and the amended processes.

7. The project operations management system, as claimed in claim 6, wherein the instructions, on execution, further cause the processor to
identify phases of the project which capable of being automated by analyzing the project specification using automation criteria; and
modify the workbench based on the identified phases

8. The project operations management system, as claimed in claim 1, wherein the instructions, on execution, further cause the processor to
assign role of the at least one resource entity in the resource allocation model; and
assign tasks of the project to the at least one resource entity based on the assigned role.

9. The project operations management system, as claimed in claim 1, wherein the instructions, on execution, further cause the processor to
determine whether a task of the project is to be assigned to at least one of a robotic resource and a human resource, based on allocation rules;
ascertain an implementation success ratio of the robotic resource on the task being assigned to a robotic resource; and
override the allocation of the task, to the robotic resource, on determining the implementation success ratio to be below a pre-defined threshold.

Dated this 18th day of July, 2014
R Ramya Rao
Of K&S Partners
Agent for the Applicant ,TagSPECI:TECHNICAL FIELD
The present subject matter relates to project management, and, particularly but not exclusively, to systems and methods for optimizing project operations and associated processes of an organization.