scholarly journals A Review of Engineering Research in Sustainable Manufacturing

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Karl R. Haapala ◽  
Fu Zhao ◽  
Jaime Camelio ◽  
John W. Sutherland ◽  
Steven J. Skerlos ◽  
...  
Keyword(s):  
Decision Making ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Supply Chain Design ◽  
Planning And Scheduling ◽  
Engineering Research ◽  
Challenges And Opportunities ◽  
Recent Developments ◽  
Planning Development

Sustainable manufacturing requires simultaneous consideration of economic, environmental, and social implications associated with the production and delivery of goods. Fundamentally, sustainable manufacturing relies on descriptive metrics, advanced decision-making, and public policy for implementation, evaluation, and feedback. In this paper, recent research into concepts, methods, and tools for sustainable manufacturing is explored. At the manufacturing process level, engineering research has addressed issues related to planning, development, analysis, and improvement of processes. At a manufacturing systems level, engineering research has addressed challenges relating to facility operation, production planning and scheduling, and supply chain design. Though economically vital, manufacturing processes and systems have retained the negative image of being inefficient, polluting, and dangerous. Industrial and academic researchers are re-imagining manufacturing as a source of innovation to meet society's future needs by undertaking strategic activities focused on sustainable processes and systems. Despite recent developments in decision making and process- and systems-level research, many challenges and opportunities remain. Several of these challenges relevant to manufacturing process and system research, development, implementation, and education are highlighted.

scholarly journals A Review of Engineering Research in Sustainable Manufacturing

2011 ◽  
Author(s):  
Karl R. Haapala ◽  
Fu Zhao ◽  
Jaime Camelio ◽  
John W. Sutherland ◽  
Steven J. Skerlos ◽  
...  
Keyword(s):  
Process Development ◽  
Sustainable Manufacturing ◽  
Supply Chain Design ◽  
Negative Image ◽  
Engineering Research ◽  
Life Cycle Perspective ◽  
Manufactured Products ◽  
Discrete Manufacturing ◽  
Challenges And Opportunities ◽  
Recent Developments

Sustainable manufacturing has been defined by the U.S. Department of Commerce as the creation of manufactured products using processes that minimize negative environmental impacts, conserve energy and natural resources, are safe for employees, communities, and consumers, and are economically sound. Thus, it requires simultaneous consideration of economic, environmental, and social implications associated with production and delivery of goods. Research in sustainable manufacturing is an important activity that informs product development from a life cycle perspective. At the process level, sustainable manufacturing research addresses issues related to planning, analysis and improvement, and the development of processes. At a systems level, sustainable manufacturing research addresses challenges relating to supply chain design, facility design and operations, and production planning. Though economically vital, manufacturing processes and systems have retained the negative image of being inefficient, polluting, and dangerous. Through strategic activities focused on sustainable processes and systems, industrial and academic engineering researchers are re-imagining manufacturing as a source of innovation to meet society’s future needs. Recent research into concepts, methods, and tools for sustainable manufacturing are highlighted at the systems level, and explored more deeply as they relate to discrete manufacturing process development and analysis. Despite recent developments in decision making, and process- and systems-level research, many challenges and opportunities remain. Several of these in manufacturing research, development, implementation, and education are highlighted.

scholarly journals Special Issue on Smart Sustainable Manufacturing Systems

2019 ◽  
Vol 9 (11) ◽  
pp. 2264
Author(s):  
Gökan May ◽  
Dimitris Kiritsis
Keyword(s):  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Digital Technologies ◽  
Special Issue ◽  
Challenges And Opportunities

With the advent of disruptive digital technologies, companies are facing unprecedented challenges and opportunities [...]

Joint Maintenance and Energy Management of Sustainable Manufacturing Systems

2015 ◽  
Author(s):  
Xufeng Yao ◽  
Zeyi Sun ◽  
Lin Li ◽  
Hua Shao
Keyword(s):  
Decision Making ◽  
Energy Management ◽  
Energy Cost ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Manufacturing Plants ◽  
Machine Reliability ◽  
Automotive Assembly ◽  
Maintenance Decision ◽  
Joint Maintenance

The expenses associated with maintenance activities and energy consumption account for a large portion of the total operation cost in manufacturing plants. Therefore, effective methods that can be used for smart maintenance decision-making and energy management to reduce the costs of these two sections and improve the competitiveness of manufacturing enterprise are of high interests to industry. Many efforts focusing on maintenance decision-making and energy management have been dedicated. However, most of the existing research focusing on these two topics has been conducted separately, very little work has been done from a joint perspective that considers the benefits from both manufacturing machine reliability improvement and energy cost reduction. In this paper, a joint maintenance and energy management method is proposed to identify the maintenance actions considering energy cost as well as other equipment health metrics. A numerical case based on a section of an automotive assembly line is used to illustrate the potential benefits of the proposed approach.

Joint Production and Energy Modeling of Sustainable Manufacturing Systems: Challenges and Methods

2014 ◽  
Author(s):  
Yong Wang ◽  
Lin Li
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Demand Response ◽  
Manufacturing Systems ◽  
Energy Use ◽  
System Modeling ◽  
Sustainable Manufacturing ◽  
Energy Modeling ◽  
Joint Production ◽  
Solution Technique

This paper proposes a framework for addressing challenges of joint production and energy modeling of sustainable manufacturing systems. The knowledge generated is used to improve the technological readiness of manufacturing enterprises for the transition towards sustainable manufacturing. Detailed research tasks of the framework are on the modeling of production, energy efficiency, electricity demand, cost, and demand response decision making. Specifically, the dynamics and performance measures of general manufacturing systems with multiple machines and buffers are modeled to integrate energy use into system modeling. The expressions of electrical energy efficiency and cost are then established based on the electricity pricing profile. Finally, joint production and energy scheduling problem formulations and the solution technique are discussed. New insights are acquired based on the applications of the established model in system parameter selection, rate plan switching decision making, and demand response scheduling. Appropriate implementation of this research outcome may lead to energy-efficient, demand-responsive, and cost-effective operations and thus improve the sustainability of modern manufacturing systems.

Performance analysis of CyberManufacturing Systems

2017 ◽  
Vol 233 (5) ◽  
pp. 1362-1376 ◽  
Author(s):  
Zhengyi Song ◽  
Young Moon
Keyword(s):  
Performance Analysis ◽  
Manufacturing Systems ◽  
Fog Computing ◽  
Sustainable Manufacturing ◽  
System Level ◽  
Self Awareness ◽  
Component Level ◽  
Fully Integrated ◽  
Simulation Techniques ◽  
Recent Developments

CyberManufacturing System is an advanced vision for future manufacturing where physical components are fully integrated and seamlessly networked with computational processes, forming an on-demand, intelligent, and communicative manufacturing resource and capability repository with optimal and sustainable manufacturing solutions. The CyberManufacturing System utilizes recent developments in Internet of things, cloud computing, fog computing, service-oriented technologies, among others. Manufacturing resources and capabilities can be encapsulated, registered, and connected to each other directly or through the Internet, thus enabling intelligent behaviors of manufacturing components and systems such as self-awareness, self-prediction, self-optimization, and self-configuration. This research presents an introduction to the CyberManufacturing System, establishing the architecture and functions of the CyberManufacturing System, designing the pivotal control strategy, and investigating the performance analysis of the CyberManufacturing System using modeling and simulation techniques. In total, five component-level examples and one system-level case study have been developed and used for illustration and validation of the CyberManufacturing System operations. The results show that the CyberManufacturing System is superior to other types of manufacturing systems in terms of functionality and cooperative performance.

Tacit Knowledge Reuse in a Next Generation Sustainable Manufacturing Process

2015 ◽  
Author(s):  
David A. Guerra-Zubiaga ◽  
Drew Heiling ◽  
Olusola Onadipe ◽  
Rojan-Kumar Katuwal ◽  
Prabin Dhital ◽  
...  
Keyword(s):  
Tacit Knowledge ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Intangible Asset ◽  
Next Generation ◽  
Knowledge Modeling ◽  
Relevant Concept ◽  
Manufacturing Enterprises ◽  
Factory Of The Future

Tacit knowledge is a very important intangible asset at manufacturing enterprises and Next Generation Manufacturing Systems (NGMS) is a relevant concept to understand manufacturing paradigms. Some Manufacturing paradigms are Factory of the future (FoF) in a Sustainable Manufacturing environment. There is a need not only to create approaches to understands the NGMS addressing the FoF to support Sustainable Manufacture, but also to capture the key manufacturing tacit knowledge through this process. This paper presents a novel idea about tacit knowledge modeling and reuse in a sustainable manufacturing application.

A Software Tool for Unit Process-Based Sustainable Manufacturing Assessment of Metal Components and Assemblies

2014 ◽  
Author(s):  
Ian C. Garretson ◽  
Christopher J. Eastwood ◽  
Michael D. Eastwood ◽  
Karl R. Haapala
Keyword(s):  
Manufacturing Process ◽  
Impact Analysis ◽  
Sustainability Assessment ◽  
Sustainable Manufacturing ◽  
Software Tool ◽  
Supply Chain Design ◽  
Process Models ◽  
Inventory Analysis ◽  
Unit Process ◽  
Cradle To Gate

While environmental impact analysis is standard in accordance with ISO 14040:2006 using life cycle assessment software, such as GaBi and SimaPro, software tools supporting broader sustainability assessment are limited. Recent research has developed methods for sustainable manufacturing assessment and has led to unit manufacturing process models that can be used to quantify sustainability metrics. In spite of these advances, engineering designers must apply such methods in an ad hoc manner, which increases engineering analysis time and limits the utility of sustainability assessment in early design. Thus, manufacturing process models and supporting software tool are developed to assist design for manufacturing efforts pursuing sustainability performance improvement. The software is constructed using Visual Basic to create a graphical user interface for an MS Excel calculation engine. Using unit manufacturing process models, a product sustainability assessment can be generated by chaining together a sequential manufacturing process flow. In this way, cradle-to-gate assessments can support decisions made during product, process, and supply chain design. The method combines upstream inventory analysis and in-house unit process modeling to perform cradle-to-gate sustainability assessment. The utility of the approach is demonstrated for the assessment of an aircraft-like metal product assembly.

Manufacturing Process Information Models for Sustainable Manufacturing

2014 ◽  
Author(s):  
Lina Valivullah ◽  
Mahesh Mani ◽  
Kevin W. Lyons ◽  
S. K. Gupta
Keyword(s):  
Decision Support ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Manufacturing Processes ◽  
Reference Architecture ◽  
Architecture Model ◽  
Information Models ◽  
Manufacturing Information ◽  
Manufacturing Applications

Sustainable manufacturing systems use processes, methodologies, and technologies that are energy efficient and environmentally friendly. To create and maintain such systems, well-defined measurement methodologies and corresponding manufacturing information models play a crucial role to consistently compute and evaluate sustainability performance indicators of manufacturing processes that will result in reliable decision support. However, when it comes to describing sustainability of product manufacturing, the presently available methods and tools do not account for manufacturing processes explicitly and hence result in inaccurate and ambiguous decisions between alternate systems. Furthermore, there are no formal methods for acquiring and exchanging sustainability-related information that help establish a consolidated sustainability information base for decision support. This paper presents a study on the scope of the currently available manufacturing information models to incorporate sustainability. Identifying the requirements for information models that cater to sustainable manufacturing was done utilizing an earlier developed Systems Integration for Manufacturing Applications (SIMA) reference architecture model. We propose an extension to the SIMA architecture considering sustainability and refer to it as a GreenSIMA architecture. We present injection-molding unit manufacturing process as an example.

DATABASE DESIGN FOR E-GOVERNANCE APPLICATION: A FRAMEWORK FOR THE MANAGEMENT INFORMATION SYSTEMS OF THE VIETNAM COMMITTEE FOR ETHNIC MINORITY AFFAIRS

2017 ◽  
Author(s):  
Nguyen Viet Hung ◽  
Phan Van Hung ◽  
Be Trung Anh
Keyword(s):  
Decision Making ◽  
Information System ◽  
Ethnic Minority ◽  
Ethnic Minorities ◽  
Good Governance ◽  
Local Governance ◽  
Geographical Information ◽  
Base System ◽  
Challenges And Opportunities ◽  
Competency Based

Data mode “good governance” developed in the last century for process of sustainable base system, providing basic information and on-line services, supports the development, challenges and opportunities in the context of globalization and integration. In this paper I discuss a framework for the design of e-Local Governance (eLG) that integrates Information System (IS), Geographical Information System (GIS) and Atlas with focus on ethnic minorities in Vietnam. The design framework is based on various classifications such categories as sex, age, ethnic group, education background and income. The database system is built to enhance the Committee for Ethnic Minority Affairs (CEMA) capabilities in the planning and decision making process by providing the authorities with data, internet GIS, internet communication and some ecological economic models to disseminate results to the ethnic minorities. The unique feature of the CEMADATA using GIS is that it helps users not only to improve the public services and to provide information and encourage ethnic minorities to participate in decision making processes, but also to support the competency-based training for IT staff

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