UMP Builder: Capturing and Exchanging Manufacturing Models for Sustainability

2018 ◽  
Author(s):  
William Z. Bernstein ◽  
David Lechevalier ◽  
Don Libes
Keyword(s):  
Environmental Analysis ◽  
Environmental Sustainability ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Information Model ◽  
Process Models ◽  
Data Driven ◽  
Manufacturing Processes ◽  
Initial Layer ◽  
Early Use

Targeting the improvement of environmental analysis of manufacturing systems, ASTM 3012-16 provides guidelines for formally characterizing manufacturing processes. However, the difficulty that has arisen in the early use of the standard illustrates the need for intuitive tools for helping modeling experts to conform to the specified information model. In response, we present the Unit Manufacturing Process (UMP) Builder, a browser-based tool integrating symbolic mathematical and guided textual inputs, helping to consistently record and exchange manufacturing process models for environmental sustainability. The tool provides an initial layer of governance and verification with respect to the conformance to ASTM 3012-16. In this paper, we (1) detail the requirements with developing such a tool, (2) propose an improved schema to represent UMP models accommodating data-driven techniques, and (3) demonstrate the tool using a contributed model from an open challenge for modeling manufacturing processes.

A Desktop Application for Sustainability Performance Assessment of Composed Unit-Based Manufacturing Systems

2017 ◽  
Author(s):  
Matteo M. Smullin ◽  
Zahra Iman ◽  
Karl R. Haapala
Keyword(s):  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Sustainability Assessment ◽  
Information Modeling ◽  
Process Models ◽  
System Level ◽  
Manufacturing Processes ◽  
Modeling Framework ◽  
Process Flow ◽  
Desktop Application

Life cycle assessment software packages such as SimaPro, GaBi, and Umberto have become well-established tools for conducting environmental impact analysis. However, applications for broader sustainability assessment are limited. Recent research has developed an information modeling framework to compose models of unit manufacturing processes for sustainability assessment and has led to the definition of unit manufacturing process information modeling concepts. An engineer can use the framework to conduct manufacturing system-level sustainability assessments by composing models of unit manufacturing processes. Assessment results can aid engineers in selecting the superior manufacturing process flow for a given product. To demonstrate usefulness of the information framework, a prototype desktop application has been developed. The application was implemented in Windows Project Foundation (WPF) using C# as the coding language to create a graphical user interface. Mathworks MATLAB serves as the calculation engine. Unit manufacturing process models follow the framework and are read by the application, which produces a sustainability assessment for the manufacturing process flow. A manufacturing process flow for an automobile-like metal product acts is used to demonstrate the software application.

scholarly journals A Similarity-Based Hierarchical Clustering Method for Manufacturing Process Models

2019 ◽  
Vol 11 (9) ◽  
pp. 2560
Author(s):  
Hyun Ahn ◽  
Tai-Woo Chang
Keyword(s):  
Hierarchical Clustering ◽  
Operations Management ◽  
Manufacturing Process ◽  
Manufacturing Industry ◽  
Clustering Algorithm ◽  
Process Models ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Agglomerative Clustering ◽  
Clustering Method

As the adoption of information technologies increases in the manufacturing industry, manufacturing companies should efficiently manage their data and manufacturing processes in order to enhance their manufacturing competency. Because smart factories acquire processing data from connected machines, the business process management (BPM) approach can enrich the capability of manufacturing operations management. Manufacturing companies could benefit from the well-defined methodologies and process-centric engineering practices of this BPM approach for optimizing their manufacturing processes. Based on the approach, this paper proposes a similarity-based hierarchical clustering method for manufacturing processes. To this end, first we describe process modeling based on the BPM-compliant standard so that the manufacturing processes can be controlled by BPM systems. Second, we present similarity measures for manufacturing process models that serve as a criterion for the hierarchical clustering. Then, we formulate the hierarchical clustering problem and describe an agglomerative clustering algorithm using the measured similarities. Our contribution is considered on the assumption that a manufacturing company adopts the BPM approach and it operates various manufacturing processes. We expect that our method enables manufacturing companies to design and manage a vast amount of manufacturing processes at a coarser level, and it also can be applied to various process (re)engineering problems.

scholarly journals Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Vladimir Modrak ◽  
Zuzana Soltysova
Keyword(s):  
Manufacturing Process ◽  
Material Flow ◽  
Manufacturing Systems ◽  
Job Shop ◽  
Flow Shop ◽  
Manufacturing Processes ◽  
Process Chains

Manufacturing systems can be considered as a network of machines/workstations, where parts are produced in flow shop or job shop environment, respectively. Such network of machines/workstations can be depicted as a graph, with machines as nodes and material flow between the nodes as links. The aim of this paper is to use sequences of operations and machine network to measure static complexity of manufacturing processes. In this order existing approaches to measure the static complexity of manufacturing systems are analyzed and subsequently compared. For this purpose, analyzed competitive complexity indicators were tested on two different manufacturing layout examples. A subsequent analysis showed relevant potential of the proposed method.

Developing a Capability-Based Similarity Metric for Manufacturing Processes

2017 ◽  
Author(s):  
Kevin Li ◽  
William Z. Bernstein
Keyword(s):  
Decision Making ◽  
Manufacturing Process ◽  
Product Life Cycle ◽  
Process Model ◽  
Die Casting ◽  
Process Models ◽  
Manufacturing Processes ◽  
Design Phase ◽  
Similarity Metric ◽  
On Line

Manufacturing taxonomies and accompanying metadata of manufacturing processes have been catalogued in both reference books and databases on-line. However, such information remains in a form that is uninformative to the various stages of the product life cycle, including the design phase and manufacturing-related activities. This challenge lies in the varying nature in how the data is captured and represented. In this paper, we explore measures for comparing manufacturing data with the goal of developing a capability-based similarity metric for manufacturing processes. To judge the effectiveness of these metrics, we apply permutations of them to 26 manufacturing process models, such as blow molding, die casting, and milling, that were created based on the ASTM E3012-16 standard. Furthermore, we provide directions towards the development of an aggregate similarity metric considering multiple capability features. In the future, this work will contribute to a broad vision of a manufacturing process model repository by helping ease decision-making for engineering design and planning.

An Open Web-Based Repository for Capturing Manufacturing Process Information

2016 ◽  
Author(s):  
William Z. Bernstein ◽  
Mahesh Mani ◽  
Kevin W. Lyons ◽  
K. C. Morris ◽  
Björn Johansson
Keyword(s):  
Manufacturing Process ◽  
Recent Progress ◽  
Performance Assessments ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Manufacturing Processes ◽  
Process Information ◽  
Web Based ◽  
Model Consistency ◽  
Effective Models

With recent progress in developing more effective models for representing manufacturing processes, this paper presents an approach towards an open web-based repository for storing manufacturing process information. The repository is envisioned to include several new use cases in the context of information use in smart manufacturing. This paper examines several key benefits through usage scenarios engaging existing engineering activities. Based on the scenarios, the desired characteristics of an open web-based repository are presented, namely that it will be (1) complementary to existing practices, (2) open and net-centric, (3) able to enforce model consistency, (4) modular (5) extensible, and (5) able to govern contributions. A repository will support and motivate the ubiquitous and extended use of standardized representations of unit manufacturing processes in order to promote consistency of performance assessments across industries and provide a tangible, data-driven perspective for analysis-related activities. Furthermore, the paper presents additional benefits and possible applications that could result from a shared manufacturing repository.

Composability of Unit Manufacturing Process Models for Manufacturing Systems Analysis

2016 ◽  
Author(s):  
Matteo M. Smullin ◽  
Ian C. Garretson ◽  
Karl R. Haapala
Keyword(s):  
Systems Analysis ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Sustainable Manufacturing ◽  
The United States ◽  
Decision Makers ◽  
Process Models ◽  
Manufacturing Processes ◽  
Sustainability Performance ◽  
Information Repository

Manufacturing accounts for 31% of all energy consumed in the United States. Of increasing concern to industry decision makers is how to make their manufacturing processes more sustainable. Current sustainable assessment methods do not consider the parameters of unit manufacturing processes (UMPs) and, thus, do not provide the granular level of modeling required for accurate sustainability performance assessment. Further, there is little research within the field of sustainable manufacturing into how to recompose UMPs to form a unified model of a manufacturing system. This research attempts to rectify this deficiency by investigating the feasibility of composing (linking) disparate processes by incorporating the workpiece as an information repository. This enables modeling the information flows between processes as a co-product of the transformations imparted to the workpiece by the selected manufacturing processes. The result is a method for assessing the sustainability performance of a manufacturing system. This method would provide value to decision makers through more capable tools to better understand the sustainability performance of their manufacturing system.

Unit Manufacturing Process Models for Ferromagnetic and Non-Ferromagnetic Alloy Surface Inspection Methods

2015 ◽  
Author(s):  
Ian C. Garretson ◽  
Kevin W. Lyons ◽  
Mahesh Mani ◽  
Swee Leong ◽  
Matthew D. Carter ◽  
...  
Keyword(s):  
Continuous Improvement ◽  
Manufacturing Process ◽  
Performance Metrics ◽  
Process Models ◽  
Manufacturing Processes ◽  
Mathematical Basis ◽  
Sustainability Performance ◽  
Ferromagnetic Alloys ◽  
Individual Unit ◽  
Aircraft Component

Industrial use of natural resources are increasing at an alarming rate. Engineering and decision support tools are needed for analyzing and curbing industrial consumption of resources. Further, assessment methods to measure and indicate continuous improvement are also needed. Modeling individual manufacturing processes facilitates the generation of quantifiable evidence that improvements are being made. Such a modeling approach is developed and demonstrated in this paper to characterize sustainability performance of two metals inspection processes: magnetic particle inspection for ferromagnetic alloys and penetrant inspection for non-ferromagnetic alloys. Individual unit manufacturing process (UMP) models were developed by observing the inspection practices at an aircraft component manufacturer, and a mathematical basis for comparison with other inspection processes was identified. The paper further demonstrates the aggregation of performance metrics from all UMPs across a manufacturing process flow thus providing a basis for generating detailed sustainability performance assessments of manufactured products. By developing and documenting a comprehensive set of UMP models, more complete knowledge of manufacturing processes can be gained by industry practitioners, leading to continuous improvement of sustainability performance.

scholarly journals A Reference Schema for the Unit Manufacturing Process Information Model

2019 ◽  
Vol 124 ◽  
Author(s):  
William Z. Bernstein ◽  
David Lechevalier
Keyword(s):  
Manufacturing Process ◽  
Information Model ◽  
Manufacturing Processes ◽  
Environmental Aspects ◽  
Process Information ◽  
Web Based ◽  
Reference Implementation

This document presents supporting documentation for a reference implementation of the UnitManufacturing Process (UMP) information model presented in ASTM E3012, Standard Guide for Characterizing Environmental Aspects of Manufacturing Processes. A version of this schema is used inthe UMP Builder, a web-based toolkit for recording and storing UMP models.

Procedure for Selecting Key Performance Indicators for Sustainable Manufacturing

2017 ◽  
Author(s):  
Deogratias Kibira ◽  
Michael Brundage ◽  
Shaw Feng ◽  
K. C. Morris
Keyword(s):  
Environmental Sustainability ◽  
Performance Indicators ◽  
Manufacturing Process ◽  
Sustainable Manufacturing ◽  
Key Performance Indicators ◽  
Manufacturing Processes ◽  
Environmental Aspects ◽  
Sustainability Measurement ◽  
Process Level ◽  
Indicator Sets

The need for an open, inclusive, and neutral procedure in selecting key performance indicators (KPIs) for sustainable manufacturing has been increasing. The reason is that manufacturers seek to determine what to measure in order to improve environmental sustainability of their products and manufacturing processes. A difficulty arises in understanding and selecting specific indicators from a large number of stand-alone indicator sets available. This paper presents a procedure for individual manufacturers to select KPIs for measuring, monitoring and improving environmental aspects of manufacturing processes. The procedure is the basis for a guideline, being proposed for standardization within ASTM International. That guide can be used for (1) identifying candidate KPIs from existing sources, (2) defining new candidate KPIs, (3) selecting appropriate KPIs based on KPI criteria, and (4) composing the selected KPIs with assigned weights into a set. The paper explains how the developed procedure complements existing indicator sets and sustainability-measurement approaches at the manufacturing process level.

Procedure for Selecting Key Performance Indicators for Sustainable Manufacturing

2017 ◽  
Vol 140 (1) ◽  
Author(s):  
Deogratias Kibira ◽  
Michael P. Brundage ◽  
Shaw Feng ◽  
K. C. Morris
Keyword(s):  
Environmental Sustainability ◽  
Performance Indicators ◽  
Manufacturing Process ◽  
Sustainable Manufacturing ◽  
Key Performance Indicators ◽  
Manufacturing Processes ◽  
Environmental Aspects ◽  
Sustainability Measurement ◽  
Process Level ◽  
Indicator Sets

The need for an open, inclusive, and neutral procedure in selecting key performance indicators (KPIs) for sustainable manufacturing has been increasing. The reason is that manufacturers seek to determine what to measure to improve environmental sustainability of their products and manufacturing processes. A difficulty arises in understanding and selecting specific indicators from many stand-alone indicator sets available. This paper presents a procedure for individual manufacturers to select KPIs for measuring, monitoring, and improving environmental aspects of manufacturing processes. The procedure is the basis for a guideline, being proposed for standardization within ASTM International. That guide can be used for (1) identifying candidate KPIs from existing sources, (2) defining new candidate KPIs, (3) selecting appropriate KPIs based on KPI criteria, and (4) composing the selected KPIs with assigned weights into a set. The paper explains how the developed procedure complements existing indicator sets and sustainability-measurement approaches at the manufacturing process level.

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