Towards a Digital Depot to Support Sustainable Manufacturing During Crisis Response

2021 ◽  
Author(s):  
Nancy Diaz-Elsayed ◽  
K. C. Morris ◽  
Julius Schoop
Keyword(s):  
Manufacturing Systems ◽  
Production Systems ◽  
Sustainable Manufacturing ◽  
Crisis Response ◽  
Manufacturing Operations ◽  
Level Data ◽  
Equipment Testing ◽  
Sustainability Challenges ◽  
And Shifts ◽  
Future Work

Abstract The COVID-19 pandemic has imposed new challenges to maintaining sustainability in our manufacturing operations. With such high variability in demand for urgently needed products (e.g., personal protective equipment, testing technologies) and shifts in the needed capabilities of already complex production systems, sustainability challenges concerning waste management, life cycle impact characterization, and production operations have come to light. An extensive amount of data can be extracted from manufacturing systems, but it is not yet being used to improve the performance of production systems and maintain sustainability strategies during times of distress. This article proposes the concept of a Digital Depot. Being virtual in nature, the depot can contain plans and data for many different types of crises and contain a wider array of products than would be available in a physical, national stockpile. The information could be made available on demand to a national base of manufacturers to help them swiftly pivot to the production of critically needed goods while building on their existing manufacturing capabilities. The contents of the Digital Depot would be applicable to several stages pertinent to manufacturing operations including product definition, production planning information, asset and factory-level data, as well as data concerning the supply chain, distribution, and end-of-life stages. Future work is recommended in the development of templates for robust and secure data sharing, as well as multi-disciplinary identification of businesses cases for data-driven collaborative and sustainable manufacturing practices enabled by the Digital Depot.

The Sustainability Challenges in the Adoption of Cleaner Production System: A Review

2014 ◽  
Vol 70 (1) ◽  
Author(s):  
Muhamad Zaki Yusup ◽  
Wan Hasrulnizzam Wan Mahmood ◽  
Mohd Rizal Salleh ◽  
Mohd Razali Muhamad
Keyword(s):  
Production System ◽  
Production Systems ◽  
Sustainable Manufacturing ◽  
Implementation Process ◽  
Cleaner Production ◽  
Social Responsiveness ◽  
Manufacturing Operations ◽  
System A ◽  
Sustainability Challenges ◽  
Psychological Concern

The adoption of cleaner production systems potentially reduces the risk of hazard in work environments, improves the environmental management performance as well as streamlining the sustainability in manufacturing operations. However, failure to identify and understand the challenges in implementing this practice may cause the implementation process becomes less efficient. The literatures showed that the requirement to balance four key challenges, namely economic performance, legislation compliance, psychological concern and social responsiveness can enhance the adaptation process of cleaner production system. The ability to detect and understanding every challenge identified is very crucial, primarily to set better focus and strategic planning on getting the optimum benefits, as well as improve the environmental performance in revolutionising sustainable manufacturing practice.

Energy Consumption Reduction for Sustainable Manufacturing Systems Considering Machines With Multiple-Power States

2011 ◽  
Author(s):  
Zeyi Sun ◽  
Stephan Biller ◽  
Fangming Gu ◽  
Lin Li
Keyword(s):  
Energy Efficiency ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Manufacturing System ◽  
Production Systems ◽  
Sustainable Manufacturing ◽  
System Level ◽  
Model Estimate ◽  
Improve Energy Efficiency ◽  
Multiple Power

Due to rapid consumption of world’s fossil fuel resources and impracticality of large-scale application and production of renewable energy, the significance of energy efficiency improvement of current available energy modes has been widely realized by both industry and academia. A great deal of research has been implemented to identify, model, estimate, and optimize energy efficiency of single-machine manufacturing system [1–5], but very little work has been done towards achieving the optimal energy efficiency for a typical manufacturing system with multiple machines. In this paper, we analyze the opportunity of energy saving on the system level and propose a new approach to improve energy efficiency for sustainable production systems considering the fact that more and more modern machines have multiple power states. Numerical case based on simulation model of an automotive assembly line is used to illustrate the effectiveness of the proposed approach.

Beyond Lean Manufacturing: Developing an Integrated Methodology to Design Effective Manufacturing Systems

2008 ◽  
Author(s):  
Marco Cantamessa ◽  
Francesca Montagna
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Corporate Strategy ◽  
Systems Approach ◽  
Production Systems ◽  
Scientific Basis ◽  
Manufacturing Companies ◽  
Systems Of Systems ◽  
Lean Principles ◽  
Manufacturing Operations

Global competition forces manufacturing companies to operate deep changes in their production systems, involving physical resources, operating procedures and the organization. In this context, the Lean Manufacturing (LM) paradigm is quite popular and lean practice efforts have crossed from the automotive sector into other industries. Most academic contributions to literature concerning LM are on specific aspects of LM, while there is little discussion on the overall implementation of LM. This is despite the fact that lean principles encompass all aspects of manufacturing operations and the need of a systemic approach is clearly shown in practitioner-oriented literature. A number of factors (i.e. cultural, technological and industrial differences) may influence or inhibit the implementation of LM. This paper focuses on some of the critical aspects of LM and analyzes the reason why LM principles are difficult to implement. In particular it suggests that, by formulating a solid scientific basis, the application of LM in industry could become easier and more rigorous, and not only based on past experience. At the same time, the paper suggests that when theory-based tools are used in an isolated way, this carries the risk of not effectively coping with the systemic nature of manufacturing systems. This paper proposes the idea of an innovative methodology able to lead beyond the usual concept of LM, i.e. to adopt its basic principles and systemic perspective, but following a rational and deductive approach that explicitly considers company specific features. The methodology is based on the “Systems of Systems” approach currently being used in the context of complex military initiatives and on the integration of different tools, each focused on specific aspects of the manufacturing system. The paper makes a preliminary attempt to describe how the main aspects of manufacturing systems (resources, quality management systems, production planning and control procedures, etc.) can be represented within the SoS framework and how SoS can support the rational definition of the path leading from corporate strategy to system redesign.

CyberManufacturing System: A Solution for Sustainable Manufacturing

2018 ◽  
Author(s):  
Zhengyi Song ◽  
Young Moon
Keyword(s):  
Resource Sharing ◽  
Manufacturing Systems ◽  
Integrated Management ◽  
Sustainable Manufacturing ◽  
Resource Depletion ◽  
The Internet ◽  
Management Approach ◽  
Manufacturing Operations ◽  
Cloud Computing Service ◽  
Knowledge Intensive

CyberManufacturing System (CMS) is emerging as a new manufacturing paradigm and an integrated management approach, and it is capable of providing on-demand, data-driven, highly-collaborative, knowledge-intensive and sustainability-oriented manufacturing solutions. The recent developments in the Internet of Things, Cloud Computing, Service-Oriented Technologies, and Machine Learning, all contribute to the development of CMS. In CMS, each manufacturer is able to package their resources and capabilities into services and make them available to customers through pay-per-use pricing strategy. Associated capabilities such as computing and simulation resources, application software, know-hows, and expertise also become accessible to worldwide users via the Internet. The manufacturing community is searching for sustainable manufacturing solutions to address environmental degradation and natural resource depletion issues. Sustainable manufacturing systems need to be socially and environmentally responsible as well as economically viable. CMS possesses advanced features — such as resource sharing, servitization and self-manage capabilities — suitable for addressing sustainability issues. This paper presents a framework of the CMS paradigm and performance analysis from the perspective of sustainability. An architecture is proposed to elaborate the constitutions of CMS and to make manufacturing operations transparent. Two case studies are used to illustrate (i) how initial manufacturing requests can be processed and met by a collection of production services and (ii) how the effectiveness of the proposed framework in addressing sustainability issues can be evaluated.

scholarly journals A mathematical model for designing a reliable cellular hybrid manufacturing-remanufacturing system considering alternative and contingency process routings

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Amirreza Hooshyar Telegraphi ◽  
Akif Asil Bulgak
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Manufacturing Systems ◽  
Closed Loop ◽  
Sustainable Manufacturing ◽  
Critical Issue ◽  
Economic Benefits ◽  
Mixed Integer ◽  
Hybrid Manufacturing ◽  
Closed Loop Supply Chain

AbstractDue to the stringent awareness toward the preservation and resuscitation of natural resources and the potential economic benefits, designing sustainable manufacturing enterprises has become a critical issue in recent years. This presents different challenges in coordinating the activities inside the manufacturing systems with the entire closed-loop supply chain. In this paper, a mixed-integer mathematical model for designing a hybrid-manufacturing-remanufacturing system in a closed-loop supply chain is presented. Noteworthy, the operational planning of a cellular hybrid manufacturing-remanufacturing system is coordinated with the tactical planning of a closed-loop supply chain. To improve the flexibility and reliability in the cellular hybrid manufacturing-remanufacturing system, alternative process routings and contingency process routings are considered. The mathematical model in this paper, to the best of our knowledge, is the first integrated model in the design of hybrid cellular manufacturing systems which considers main and contingency process routings as well as reliability of the manufacturing system.

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

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 [...]

SYNTHESIZING THE DOMAIN OF LEAN PRACTICES IN MANUFACTURING OPERATIONS: A REVIEW

2015 ◽  
Vol 77 (1) ◽  
Author(s):  
Muhamad Zaki Yusup ◽  
Wan Hasrulnizzam Wan Mahmood ◽  
Mohd Rizal Salleh ◽  
Mohd Razali Muhamad ◽  
Adi Saptari
Keyword(s):  
Performance Indicator ◽  
Sustainable Manufacturing ◽  
Adaptation Process ◽  
Lean Implementation ◽  
Implementation Processes ◽  
Manufacturing Operations ◽  
Lean Practices ◽  
Development Evaluation ◽  
Planning Development ◽  
The Right

 The implementation of Lean practices via various techniques and approaches have provided the room of improvement for manufacturers to increase the manufacturing operations performance. Nevertheless, the lack of understanding in synthesizing each of the strategies can cause the implementation benefits of this practice are unable to be retained. This is possibly due to the weaknesses in identifying the exact domain and the right indicators in strengthening the Lean implementation processes. From the review, planning, development, evaluation and execution are the four primary domains that highly influenced the manufacturer performance in synthesizing the Lean practice. In fact, each of the domains has its own performance indicator in streamlining the strategy outlined in strengthening this practice in manufacturing operations. The ability to fortify all these domains is seen to be able to increase the performance of Lean implementation and ensure the adaptation process becomes smoother and easier for a longer period of time. This will be useful to the manufacturer and academician, primarily in formulating the best approach in establishing the sustainable manufacturing practice via Lean approach.  

Modelling and an improved NSGA-II algorithm for sustainable manufacturing systems with energy conservation under environmental uncertainties: a case study

2021 ◽  
pp. 1-25
Author(s):  
Behnam Ayyoubzadeh ◽  
Sadoullah Ebrahimnejad ◽  
Mahdi Bashiri ◽  
Vahid Baradaran ◽  
Seyed Mohammad Hassan Hosseini
Keyword(s):  
Energy Conservation ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Nsga Ii
Sign in / Sign up

Export Citation Format

Share Document