Operational efficiency through resource planning optimization and work process improvement

This thesis covers work done at National Grid to improve resource planning and the execution of pipeline construction and maintenance work carried out at the yards. Resource Planning, the art of picking the right jobs for the right days and assigning the right crews to them while meeting constraints of regulation, customer service, and safety at the minimum cost is an extremely difficult problem. This is exacerbated by the fact that there needs to be enough slack in the system to deal with one or more pipeline leaks that may be called in. At the execution stage, when the jobs are carried out by crews, the lack of standardization in work processes dealing with granting and approval of overtime, productivity tracking, data collection, and imperfect alignment of incentives make it difficult to get the best work from the crews. These issues lead to high levels of overtime at yards, which are the major source of costs for gas operations for the company. We propose the Resource Allocation and Planning Tool (RAPT) accompanied by yard level process management to improve operations performance. To automate short term planning, RAPT includes a two stage stochastic optimization model to perform job scheduling and crew assignment in the presence of a variable number of emergency leaks, thus creating optimal daily and weekly plans with minimal overtime costs. The tool also serves as a business intelligence platform, providing a companywide view of gas operations efficiency and as a decision aid, enabling management to predict the impact of management policies on field operations. The execution of work was improved by the creation of new processes for scheduling, crew data entry, overtime approval, incorporating accountability and oversight at multiple levels. This work has enabled more consistent processes, better overtime and productivity management, and the ability to understand and track deviations. These changes are currently being piloted at yards across the company and the initial results are very encouraging. As a direct result of this work, National Grid has the potential to achieve up to 65% reduction in overtime, saving the company a substantial amount of money.

Department dc:contributor.department

Leaders for Global Operations Program at MIT

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2012

Author dc:creator

• Balwani, Siddharth (Siddharth Vashdev)

Advisor dc:contributor.advisor

• Georgia Perakis and Daniel Whitney.

• Engineering Systems Division.
• Sloan School of Management.
• Leaders for Global Operations Program.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/78490

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/78490