Simulation and Analysis for Sustainability in Manufacturing Processes

Author(s):  
Alexander Muroyama ◽  
Mahesh Mani ◽  
Kevin Lyons ◽  
Bjorn Johansson

“Sustainability” has become a ubiquitous term in almost every field, especially in engineering design and manufacturing. Recently, an increased awareness of environmental problems and resource depletion has led to an emphasis on environmentally friendly practices. This is especially true in the manufacturing industry where energy consumption and the amount of waste generated can be high. This requires proactive tools to be developed to carefully analyze the cause-effect of current manufacturing practices and to investigate alternative practices. One such approach to sustainable manufacturing is the combined use of Discrete Event Simulation (DES) and Life Cycle Assessment (LCA) to analyze the utilization and processing of manufacturing resources in a factory setting. On an economic aspect such method can significantly reduce the financial and environmental costs by evaluating the system performance before its construction or use. This project considers what-if scenarios in a simplified golf ball factory, using as close to real-world data as possible, to demonstrate DES and LCA’s ability to facilitate decision-making and optimize the manufacturing process. Plastic injection molding, an energy-intensive step in the golf ball manufacturing process, is the focus of the DES model. AutoMod, a 3-D modeling software, was used to build the DES model and AutoStat was used to run the trials and analyze the data. By varying the input parameters such as type and number of injection molding machines and material used, the simulation model can output data indicating the most productive and energy efficient methods. On a more detailed level, the simulations can provide valuable information on bottlenecks or imbalances in the system. Correcting these can allow the factory to be both “greener” and more cost-effective.

2021 ◽  
Vol 8 ◽  
pp. 28
Author(s):  
Haishang Wu

Additive manufacturing (AM) enables cost-effective and efficient production toward sustainability. However, a rigorous evaluation method is required to further investigate the measurement method and efficiency before AM can be well-positioned in sustainable manufacturing and become the industry mainstream. Cost savings play a key role in the manufacturing industry. Compared to conventional manufacturing (CM), the cost of AM is volume-independent. In contrast, CM production requires a certain volume to share the initial tooling costs to achieve cost reduction. This constraint limits CM from service on demand and leaves ambiguity in the threshold setting of that critical batch volume. In addition, the invisibility of AM advantages in cost factors blocks AM technologies from appropriate processes and affects its applications. To address these issues, this paper proposes a business model. The major issues encountered by AM are the scaling, speed, and size of products. The enhancement of cost modeling and addressing speed, scale, and size issues are the novelties of this study and provide a breakthrough in AM issues. Generic equations are derived using the convergence effect and cost–volume intersection calculation between AM and CM. Furthermore, the divide-and-conquer approach is proposed to support scaling factors and dependencies for both AM and CM. Consequently, appropriate AM technologies can be compared with the CM convergence threshold to contribute to decision-making. Next, the advantages and weaknesses of AM are identified, and a collaboration pattern is proposed to connect large enterprises, small-and medium-sized enterprises, and home-based manufacturers into an AM society. Through this society, the advantages of AM can be fully exploited, scaling and speed issues can be addressed, and AM's dominant role in sustainable manufacturing can be made feasible.


Author(s):  
Yusuke Kishita ◽  
Yuta Inoue ◽  
Shinichi Fukushige ◽  
Yasushi Umeda ◽  
Hideki Kobayashi

A variety of sustainability scenarios (e.g., IPCC’s Emissions Scenarios) have been described toward a sustainable society. While many of them aim at solving climate change problems and they often assume various low-carbon technologies, the problem is that such scenarios hardly examine their feasibility from the viewpoint of resource depletion. In particular, copper is a critical base metal because introducing low-carbon technologies (e.g., electric vehicles and wind power generators) may induce copper consumption. To assess feasibility of existing sustainability scenarios, this paper proposes a method for estimating long-term copper demand based on those scenarios. Our method proposes an integrated model that evaluates world copper demand from two principal aspects of influencing copper consumption — (1) the building of social infrastructure and (2) new products that might disseminate in the future (e.g., electric vehicles and photovoltaic systems). A case analysis on a long-term energy scenario is carried out. Its results reveal that the cumulative copper consumptions in the world exceed the copper reserved in the earth by 2040. The increase in copper consumptions results mainly from world economic growth led by developing countries, while the dissemination of electric vehicles and photovoltaic systems has a minor impact on the consumption increase.


2015 ◽  
Vol 77 (22) ◽  
Author(s):  
Muhammad Imran Qureshi ◽  
Amran Md. Rasli ◽  
Ahmad Jusoh ◽  
Tan Owee Kowang

Recently, many industries adopted lean manufacturing philosophy to improve efficiency through reducing waste for maximization of profit. Most of the manufacturers have benefited the implementation of lean manufacturing through process effectiveness. However, despite of all its effectiveness in the production process, manufacturing industry is facing a real challenge instigated by the stakeholders (i.e. Customers, policy makers, regulatory authorities and society). Stakeholders are consistently pressurizing manufacturers to integrate the social and environmental factor within their production process to protect society and the environment from the negative effects of the manufacturing process, as a result manufacturing process experience continuous adaptation. This adaptation caused technological and procedural shifts, this significantly alter the fundamental manufacturing concepts. Current study provide the basic alterations in the fundamental principles of the green manufacturing paradigm, this adaptation ultimately leads to the new manufacturing paradigm of Sustainable manufacturing. Sustainable manufacturing is a broader concept of manufacturing focused on the integration of social, environmental and economic factors in manufacturing procedures. 


Vaccine ◽  
2021 ◽  
Author(s):  
Ahd Hamidi ◽  
Femke Hoeksema ◽  
Pim Velthof ◽  
Angelique Lemckert ◽  
Gert Gillissen ◽  
...  

Author(s):  
Alexis K. Okoh ◽  
Emaad Siddiqui ◽  
Cassandra Soto ◽  
Nehal Dhaduk ◽  
Sameer Hirji ◽  
...  

Objective The current study aims to report trends of early discharges and identify associated direct costs using a nationally representative database of real-world data experience. Methods We used nationally weighted data on all patients who had transfemoral transcatheter aortic valve replacement (TAVR) from 2012 to 2017 and discharged alive from the National Inpatient Sample. Patients were divided into early (discharge ≤3 days of admission) and late discharge. Demographics and clinical characteristics were compared. Trends in early discharge and costs associated with admissions were analyzed over the study period. Results Of the 125,188 patients identified, 59,424 (46.9%) were discharged early. The proportion of early discharge increased from 15% in early 2012 to 68% in late 2017 ( P < 0.001), with the largest increase occurring from 2014 to 2015. Overall, the average cost of TAVR decreased from $58,408 in 2012 to $49,875 in 2017 ( P < 0.001). Compared to late discharge, patients discharged early reported costs savings of ≥$20,000 over the study period. Among the early discharge group, no significant differences in costs were observed for patients discharged on 0 to 1, 2, or 3 days after the procedure. Conclusions Postoperative length of stay after TAVR has decreased dramatically within the last decade with an observed reduction in procedural costs. While discharge within 3 days appeared cost effective, no differences in costs were noted among patients discharged ≤3 days.


Author(s):  
Karl R. Haapala ◽  
Fu Zhao ◽  
Jaime Camelio ◽  
John W. Sutherland ◽  
Steven J. Skerlos ◽  
...  

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.


2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Hannes Weinreuter ◽  
Balázs Szigeti ◽  
Nadine-Rebecca Strelau ◽  
Barbara Deml ◽  
Michael Heizmann

Abstract Autonomous driving is a promising technology to, among many aspects, improve road safety. There are however several scenarios that are challenging for autonomous vehicles. One of these are unsignalized junctions. There exist scenarios in which there is no clear regulation as to is allowed to drive first. Instead, communication and cooperation are necessary to solve such scenarios. This is especially challenging when interacting with human drivers. In this work we focus on unsignalized T-intersections. For that scenario we propose a discrete event system (DES) that is able to solve the cooperation with human drivers at a T-intersection with limited visibility and no direct communication. The algorithm is validated in a simulation environment, and the parameters for the algorithm are based on an analysis of typical human behavior at intersections using real-world data.


2018 ◽  
Vol 25 (8) ◽  
pp. 3162-3179 ◽  
Author(s):  
Shamraiz Ahmad ◽  
Kuan Yew Wong

Purpose The purpose of this paper is to review and analyze the recent sustainability assessment studies in the manufacturing industry from the triple-bottom-line (TBL) perspective. This paper aims to depict the status quo of practical sustainability assessment, summarize the different levels and boundaries of evaluation, and highlight the difficulties and further improvements needed to make the assessment more effective in the manufacturing industry. Design/methodology/approach Four keywords, namely, sustainability assessment, sustainable manufacturing, TBL and green production, were used to explore and find the relevant articles. First, this paper systematically reviewed the studies and analyzed the different levels and boundaries of sustainability assessment. Following this, the reviewed studies were critically discussed along with their merits and shortcomings. Findings The review showed that most of the sustainability assessment studies were conducted on product, company and process levels in the manufacturing industry. Nevertheless, there is still a need to focus more on plant and process level assessments to achieve the TBL objectives. Environmental assessment is comparatively matured in manufacturing industries. However, from the economic and social viewpoints, only cost analysis and workers’ safety, respectively, were considered in most of the studies. The economic and social indicators need to be more inclusive and should be validated and standardized for manufacturing industries. Originality/value Unlike previous sustainability assessment reviews in manufacturing industries which were mostly based on life cycle assessment, this paper has included environmental, social and economic aspects in one comprehensive review and focused on recent studies published from 2010 to 2017. This paper has explored the recent sustainability assessment trends and provided insights into the development of sustainability assessment in the manufacturing sector.


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