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Title: Material Control & Accounting (MC&A) Modeling/Simulation Consulting.


Abstract not provided.

Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the Meeting with China Atomic Energy Authority held November 1-2, 2016 in Beijing, China.
Country of Publication:
United States

Citation Formats

Cipiti, Benjamin B. Material Control & Accounting (MC&A) Modeling/Simulation Consulting.. United States: N. p., 2016. Web.
Cipiti, Benjamin B. Material Control & Accounting (MC&A) Modeling/Simulation Consulting.. United States.
Cipiti, Benjamin B. 2016. "Material Control & Accounting (MC&A) Modeling/Simulation Consulting.". United States. doi:.
title = {Material Control & Accounting (MC&A) Modeling/Simulation Consulting.},
author = {Cipiti, Benjamin B.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month =

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  • Smalltalk, an object oriented computer language, enables programmers to build data structures and code which explicitly reflect the structure and working of a facility in an easily understood fashion. This paper discusses demonstration material control and accounting system that has been written in Smalltalk for the IBM PC-XT computer using the methods environment from Digitalk, Inc. The system is designed to track uranium through a processing facility. The objects are generic and not specific to any facility, objects like vault positions or tanks are created from classes of objects called uranium accounts. Uranium account objects are connected by a listmore » of transfer rules which should reflect the operation of the facility. If operations or equipment are changed, only those rules or objects which simulate the affected components must be changed. By the nature of Smalltalk code, other objects will not be affected by these changes.« less
  • During the past several years, Russia and the United States have been developing and implementing enhanced MC&A policies and procedures. Specialists from the Russian Methodological and Training Center and specialists from the Department of Energy's MPC&A Program are jointly developing a suite of computer-based tools in an effort to facilitate this implementation. At the core of the software development are two basic components: the established policies and regulations annotated in a machine-readable format and a computer model of the facility which includes, but is not limited to the buildings, MBAs, flow and inventory KMPs, organizational charts, and procedures.
  • The development of sustainable advanced nuclear fuel cycles is a long-term goal of the Office of Nuclear Energy’s (DOE-NE) Fuel Cycle Technologies program. The Material Protection, Accounting, and Control Technologies (MPACT) campaign is supporting research and development (R&D) of advanced instrumentation, analysis tools, and integration methodologies to meet this goal. This advanced R&D is intended to facilitate safeguards and security by design of fuel cycle facilities. The lab-scale demonstration of a virtual facility, distributed test bed, that connects the individual tools being developed at National Laboratories and university research establishments, is a key program milestone for 2020. These tools willmore » consist of instrumentation and devices as well as computer software for modeling. To aid in framing its long-term goal, during FY16, a modeling and simulation roadmap is being developed for three major areas of investigation: (1) radiation transport and sensors, (2) process and chemical models, and (3) shock physics and assessments. For each area, current modeling approaches are described, and gaps and needs are identified.« less
  • The purpose of this study is to find an optimal blend between three safeguards systems for special nuclear material (SNM), the material accounting system and the physical security and material control systems. The latter two are denoted as principal deterrent systems. The optimization methodology employed is a two-stage decision algorithm, first an explicit maximization of expected diverter benefits and subsequently a minimization of expected defender costs for changes in material accounting procedures and incremental improvements in the principal deterrent systems. The probability of diverter success function dependent upon the principal deterrents and material accounting system variables is developed. Within themore » range of certainty of the model, existing material accounting, material control and physical security practices are justified.« less