Metric-based approach to assess sustainable manufacturing performance at manufacturing process levels

Author(s):  
Márcio de Queiroz Murad ◽  
Wisley Falco Sales ◽  
Valtair Antônio Feraressi
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.


2020 ◽  
Vol 12 (6) ◽  
pp. 2280 ◽  
Author(s):  
Mohamed Abubakr ◽  
Adel T. Abbas ◽  
Italo Tomaz ◽  
Mahmoud S. Soliman ◽  
Monis Luqman ◽  
...  

The necessity for decreasing the negative impact of the manufacturing industry has recently increased. This is getting recognized as a global challenge due to the rapid increase in life quality standards, demand, and the decrease in available resources. Thus, manufacturing, as a core of the product provision system and a fundamental pillar of civilized existence, is significantly influenced by sustainability issues. Furthermore, current manufacturing modeling and assessment criteria require intensive revisions and upgrades to keep up with these new challenges. Nearly all current manufacturing models are based on the old paradigm, which was proven to be inadequate. Therefore, manufacturing technology, along with culture and economy, are held responsible for providing new tools and opportunities for building novel resolutions towards a sustainable manufacturing concept. One of such tools is sustainability assessment measures. Revising and updating such tools is a core responsibility of the manufacturing sector to efficiently evaluate and enhance sustainable manufacturing performance. These measures should be adequate to respond to the growing sustainability concerns in pursuit of an integrated sustainability concept. The triple bottom line (TBL) that includes environment, economic, and social dimensions has usually been used to evaluate sustainability. However, there is a lack of standard sets of sustainable manufacturing performance measures. In addition to the sustainability concept, a new concept of smart manufacturing is emerging. The smart manufacturing concept takes advantage of the recent technological leap in Artificial Intelligent (AI), Cloud Computing (CC), and the Internet of Things (IoT). Although this concept offers an important step to boost the current production capabilities to meet the growing need, it is still not clear whether the two concepts of smart manufacturing and sustainability will constructively or destructively interact. Therefore, the current study aims to integrate the sustainable smart manufacturing performance by incorporating sustainable manufacturing measures and discussing current and future challenges that are faced by the manufacturing sector. In addition, the opportunities for future research incorporating sustainable smart manufacturing are also presented.


2019 ◽  
Vol 11 (16) ◽  
pp. 4294 ◽  
Author(s):  
Muhammad Imran Qureshi ◽  
Rajah A/l Rasiah ◽  
Basheer M. Al-Ghazali ◽  
Maqsood Haider ◽  
Hanifah Jambari ◽  
...  

In light of the overwhelming consumption of resources by the manufacturing sector, this paper examined three key subsystems that are critical in greening the sector. Whereas the extant literature has focused on technological development to reduce environmental damage, it has not analyzed profoundly how manufacturing processes can be greened effectively. Hence, using carefully gathered data of 299 respondents and structural equation modeling, this paper sought to investigate the mediating effect of social, environmental, and technical subsystems on the relationship between management support and sustainable manufacturing performance. The results show that management support has a positive relationship with sustainable manufacturing performance (p < 0.005), while social, environmental, and technical subsystems partially mediate this relationship. Hence, efforts must be taken to encourage management of manufacturing firms to support sustainable management performance, while at the same time supporting them to introduce innovative social, environmental, and technical practices.


2017 ◽  
Vol 23 (9) ◽  
pp. 8232-8235 ◽  
Author(s):  
Muhammad Imran Qureshi ◽  
Rosman Md Yusoff ◽  
Abdul Rahman Ahmed ◽  
Khairunesa Isa ◽  
Amina Imran

2020 ◽  
Vol 12 (13) ◽  
pp. 5335
Author(s):  
Dotun Adebanjo ◽  
Pei-Lee Teh ◽  
Pervaiz K Ahmed ◽  
Erhan Atay ◽  
Peter Ractham

This study investigates the relationships between three dimensions of competitive priorities (customer focus, product innovation and delivery) and how Asian manufacturers manage and develop their employees and the consequent effect on sustainable manufacturing performance. Three dimensions of manufacturing performance are considered in this study—quality performance, production flexibility and operations cost. This study uses 259 datasets collected from manufacturers in four Asian countries. Structural equation modeling and mediation analysis are performed to test the relationships. Results show that there is a significant positive and mediating relationship between the competitive priority of product innovation, employee management and development, quality performance, production flexibility and operation cost. However, such significant relationships do not exist with competitive priorities of customer focus and delivery. Organizations are constantly faced with the problem of determining which competitive priorities to focus on. However, different competitive priorities have different effects on how the employees are managed and developed, and ultimately, on organizational performance and competitiveness. There is a need to focus on innovation-led strategies that relate to sustainable outcomes. This is one of the first studies in Asia to understand the multilateral relationships between different competitive priorities and different performance dimensions when employee management and development intermediate.


2017 ◽  
pp. 1000-1008
Author(s):  
Sujit Singh ◽  
Ezutah Udoncy Olugu ◽  
Siti Nurmaya Musa

Sustainable manufacturing strives to produces the goods by minimizing negative environmental impact and reducing the resource consumptions. It also strives for safety of employee and community while maintaining an affordable cost. This study focuses on the development of a set of measures and metrics for assessing sustainability performance of manufacturing SMEs. In this study, various literatures on sustainable manufacturing performance measurement, green manufacturing, traditional manufacturing performance measurement and performance measurements in manufacturing small and medium enterprises (SMEs) are reviewed. Triple Bottom Line (TBL) is considered as framework in order to establish the relevant measures in an effective and comprehensive manner. The measures for performance measurements are classified in the three aspects of TBL known as economic, environmental and social. Therefore, 6 measures with 26 indicators, 8 measures with 31 indicators and 3 measures with 23 indicators were identified for economic, environmental and social aspects respectively. To establish the importance and applicability of developed measures, a survey will be conducted among the experts from academics and industries. Using survey results, a sustainability performance measurement model will be developed and presented.


Author(s):  
Romain Farel ◽  
Selma Kchir ◽  
Xavier Lamy ◽  
Mathieu Grossard

Automation of manufacturing process with robots is an industrial challenge, generally evaluated by the Return On Investment (ROI) that such a transformation could generate. However, the automation has a considerable cost particularly for SMEs, which makes a barrier to access and limits the motivation of facilitating the manual work of the operators, despite of nonergonomic and risky situations. In this study, supported by the European project HORSE, we went through the development of a robotic solution to assist the operator in the manufacturing. This component called programming-by-demonstration is integrated in both main categories of automation: industrial robot and collaborative robot (cobot). Both applications are tested and evaluated in a real manufacturing task (cutting cast pieces from foundry) and evaluated by the industrial end-user. The paper states on the application of the developed component, and concludes with the lesson learned.


Sign in / Sign up

Export Citation Format

Share Document