Client Overview
Our client is a Fortune 50 Defense Contractor engaged in the Aerospace and Defense industry. The primary customer of our client is the United States Department of Defense.
Project Description Summary
Our client received a DoD contract to conduct design risk reduction studies for a business process re-engineering effort underway in a particular service branch. The contract specified both availability rates and target effectivity. In order to meet the defined efficiency rates, our client would need to balance stockpiling inventories against budgetary constraints. A new business model of providing long-term service and logistics for the life of an advanced technology system faced our client. At the component level, our client did not possess forecasting capabilities that were linked to either replenishment or deployment processes. Based upon the responsiveness defined in the contract, our client realized that its internal manual processes could not successfully support the DoD's end capability.
Three primary components were identified for the successful completion of this project:
An Advanced Planning System
An internet capable collaborative solution
A data mart capable of accessing customer information
Successful implementation of the DoD's end capability required our client to employ the proper personnel, re-engineer particular business processes, implement technology solutions, re-build infrastructure, and adopt Supply Chain Management (SCM) principles and partnership strategies.
Role and Approach
MEB Consulting (MEBC) sub-contracted to a major systems integrator for the project. MEBC managed and executed the development of "To-Be" functional/technical requirements for the future state capabilities to support the DoD initiative. Upon completion of the requirements, the lead team for MEBC guided the client through a process to deliver a Solution Portfolio recommendation that supported the project's component of the DoD initiative. The recommendation included process and organizational changes, in addition to the identification of technology gaps.
MEBC utilized a documented and tested package selection methodology for the system selection, developed by MEBC Principal, Mark Brown, while he was employed by a major system integrator. The methodology was specifically adapted to meet requirements for planning and scheduling systems selection in addition to meeting the requirements of the DoD initiative. The package selection methodology is now used in both the commercial space as well as the DoD environment, including a few branch services.
The evaluation and selection approach is based on four phases:
Create vendor short list
Develop business requirements
Conduct vendor demonstrations
Evaluate and recommend a solution that would fulfill RERP requirements.
The MEBC team provided business process reengineering along with sub-process activity. In addition, they were able to design scenarios that reflected the real-world of collaboration between partners in the DoD environment. These scenarios tested the applicant solutions’ responsiveness to our client's requirements. Lastly, MEBC conducted workshops with our client's personnel to educate them on newly defined processes and capabilities.
This project was completed in a 6 month timeframe and MEBC provided the following MOBIS consulting services in support of the project:
Project management
OSCS strategy development
Current state assessment
Process mapping
Process redesign
Development of functional requirements
APS package selection
Results / Accomplishments
MEBC supported the client in defining the complex "To-Be" functional/technical requirements for the future state project capabilities to efficiently support the DoD initiative. Specifically, MEBC delivered the following:
Identification of re-designed processes such as Demand Planning & Collaboration, Provisioning, Visibility, and Event Management & Alerting
Detailed functional requirements for the re-designed processes
Identification of current capability gaps
Final report that documented the future state operating model and proposed implementation recommendations for the DoD initiative
