A simplified and scalable should-cost tool in the oilfield services industry

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (p. 55-57).Third party spend accounts for a significant amount of a business' costs. When procuring unique, highly-engineered components, this cost is often negotiated with suppliers during the procurement process. Due to the limited understanding of the suppliers' true production cost, various techniques and models for determining how much a procured product should cost have been tried. One such approach is known as "should-cost modeling," where estimates for the cost of a product or service are made based on product architecture and/or firm financials. Both these approaches to should-cost modeling require extensive data collection and are time consuming. In this thesis, we expand an approach that uses aggregate industry-specific financial data to develop a simple, scalable tool to estimate a product's should-cost. One major challenge in building this tool is unifying the simple aggregate data available into an estimated price for a complex product. This is a major challenge of developing a should-cost estimate using existing methods. We develop an approach to simplifying a complex product, construct our model, and create a ready-to-use tool. We demonstrate the working of the model and the tool using the case of a semi-complex product (the fluid end of a pump) representative of a company's procured products. We then compare the price estimated by our model with that currently negotiated with our sponsor company's supplier and solicit qualitative feedback from procurement professionals regarding the should-cost tool's accuracy. The price estimated by our tool is within 9% of the actual negotiated price and required significantly less time to compute compared to the current approach based on product architecture. The company's sourcing and procurement executive strongly endorses the benefits of our approach. This tool can remove the reliance on supplier-supplied quotes and strengthen the purchasing company's negotiating position. The tool developed in this thesis is shown to provide a more accurate estimate of product cost, with significantly less estimation effort.by Clayton M. Mealer and Sung Hwan Park.M.Eng.in Logistic

Recommendations for Enhancing Psychosocial Support of NICU Parents through Staff Education and Support

Providing psychosocial support to parents whose infants are hospitalized in the neonatal intensive care unit (NICU) can improve parents’ functioning as well as their relationships with their babies. Yet, few NICUs offer staff education that teaches optimal methods of communication with parents in distress. Limited staff education in how to best provide psychosocial support to families is one factor that may render those who work in the NICU at risk for burnout, compassion fatigue and secondary traumatic stress syndrome. Staff who develop burnout may have further reduced ability to provide effective support to parents and babies. Recommendations for providing NICU staff with education and support are discussed. The goal is to deliver care that exemplifies the belief that providing psychosocial care and support to the family is equal in importance to providing medical care and developmental support to the baby

The CLAS12 Spectrometer at Jefferson Laboratory

The CEBAF Large Acceptance Spectrometer for operation at 12 GeV beam energy (CLAS12) in Hall B at Jefferson Laboratory is used to study electro-induced nuclear and hadronic reactions. This spectrometer provides efficient detection of charged and neutral particles over a large fraction of the full solid angle. CLAS12 has been part of the energy-doubling project of Jefferson Lab's Continuous Electron Beam Accelerator Facility, funded by the United States Department of Energy. An international collaboration of 48 institutions contributed to the design and construction of detector hardware, developed the software packages for the simulation of complex event patterns, and commissioned the detector systems. CLAS12 is based on a dual-magnet system with a superconducting torus magnet that provides a largely azimuthal field distribution that covers the forward polar angle range up to 35∘, and a solenoid magnet and detector covering the polar angles from 35° to 125° with full azimuthal coverage. Trajectory reconstruction in the forward direction using drift chambers and in the central direction using a vertex tracker results in momentum resolutions of <1% and <3%, respectively. Cherenkov counters, time-of-flight scintillators, and electromagnetic calorimeters provide good particle identification. Fast triggering and high data-acquisition rates allow operation at a luminosity of 1035 cm−2s−1. These capabilities are being used in a broad program to study the structure and interactions of nucleons, nuclei, and mesons, using polarized and unpolarized electron beams and targets for beam energies up to 11 GeV. This paper gives a general description of the design, construction, and performance of CLAS12