PROCESS DESCRIPTION AND ANALYTICS FORMALISM FOR DECISION GUIDANCE IN SUSTAINABLE MANUFACTURING

Published

November 20, 2013

Author(s)

Alexander Brodsky, Guodong Shao, Frank H. Riddick

Abstract

This paper introduces NIST's Sustainable Process Analytics Formalism (SPAF) to facilitate the use of simulation and optimization technologies for decision support in sustainable manufacturing. SPAF allows formal modeling of modular, extensible, and reusable process components and enables sustainability performance prediction, what-if analysis, and decision optimization based on mathematical programming. SPAF models describe (1) process structure and resource flow, (2) process data, (3) control variables, and (4) computation of sustainability metrics, constraints, and objectives. This paper presents the SPAF syntax and formal semantics, provides a sound and complete algorithm to translate SPAF models into formal mathematical programming models, and illustrates the use of SPAF through a manufacturing process example.

Citation

NIST Interagency/Internal Report (NISTIR) - 7961

Report Number

7961

NIST Pub Series

NIST Interagency/Internal Report (NISTIR)

Pub Type

NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.IR.7961

Local Download

Keywords

Optimization, decision support, sustainable process, what-if analysis

Citation

Brodsky, A. , Shao, G. and Riddick, F. (2013), PROCESS DESCRIPTION AND ANALYTICS FORMALISM FOR DECISION GUIDANCE IN SUSTAINABLE MANUFACTURING, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.7961, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=913035 (Accessed December 11, 2024)