Standard Guide for Characterizing Environmental Aspects of Manufacturing Processes

Importancia y uso:

4.1 This guide provides a systematic approach for characterizing the environmental aspects of manufacturing processes based on well-established formal languages.

Note 1: In computer science, a formal language is a language designed for use in situations in which natural language is unsuitable as, for example, in mathematics, logic, or computer programming. The symbols and formulas of such languages stand in precisely specified syntactic and semantic relations to one another. Formal representations are derived from formal languages.

Note 2: A UMP model is defined using formal languages, such as eXtensible Markup Language (XML) (1),6 Unified Modeling Language (UML) (2), or Systems Modeling Language (SysML) to facilitate data exchange, computability, and communication with other manufacturing and analysis applications. These capabilities support manufacturers in evaluating, documenting, and improving performance. This guide specifically incorporates UML and XML but does not limit implementations to these languages.

4.2 This guide provides the structure and formalism to ensure consistency in characterizing manufacturing processes in a computer-interpretable way, thus enabling effective communication, computational analytics, and exchange of performance information.

4.3 Fig. 1 shows how this guide is used to transition manufacturing resources, such as industrial robots, machine tools, and auxiliary devices, from the phycical world to the digital world through graphical and formal representations. In doing so, required information to perform engineering analysis, such as optimization, simulation, and life cycle assessment, is characterized in a manner that is complete, standardized, and efficient.

FIG. 1 Overview of Significance and Use of this Guide

UMPs store digital representations of physical manufacturing assets and systems to enable engineering analysis, for example, optimization, simulation, and life cycle assessments.

Note 3: This guide will promote new tool development that can link manufacturing information and analytics for calculating the desired environmental performance measures.

4.4 This guide also supports the development of tools to improve decision support capabilities while facilitating the development and extension of standardized data and information bases.

Note 4: Data collected within manufacturing enterprises can be used to build enterprise-or-sector-specific databases that complement or extend Life Cycle Inventory (LCI) databases (ULE 880). This approach will improve the relevancy and completeness of the data while retaining key links to Life Cycle Assessment (LCA) methods.

4.5 Fig. 2 presents a road map to this guide. Section 5 describes the graphical representation of the UMP. Section 6 presents a conceptual definition of the UMP concept. Section 7 presents a step-by-step guide on how to characterize a manufacturing process using the formal methods presented in Sections 5 and 6. Section 8 describes how to create a composed system model, or a network of UMPs.

FIG. 2 Systematic Illustration of Use of UMP Representation and Process Characterization Methodology to Develop a Number of Specific UMP Models to Support Model Composition

Subcomité:

E60.13

Referida por:

E3096-18, E3377-24

Volúmen:

04.12

Número ICS:

03.100.01 (Company organization and management in general)

Palabras clave:

characterization; model composition; sustainability; transformation; unit manufacturing processes; XSD schema; sustainable manufacturing;