scholarly journals Ecological Principles and Metrics for Improving Material Cycling Structures in Manufacturing Networks

Author(s):  
Astrid Layton ◽  
Bert Bras ◽  
Marc Weissburg

A key element for achieving sustainable manufacturing systems is efficient and effective resource use. This potentially can be achieved by encouraging symbiotic thinking among multiple manufacturers and industrial actors and establish resource flow structures that are analogous to material flows in natural ecosystems. In this paper, ecological principles used by ecologists for understanding food web (FW) structures are discussed which can provide new insight for improving closed-loop manufacturing networks. Quantitative ecological metrics for measuring the performance of natural ecosystems are employed. Specifically, cyclicity, which is used by ecologists to measure the presence and strength of the internal cycling of materials and energy in a system, is discussed. To test applicability, groupings of symbiotic eco-industrial parks (EIP) were made in terms of the level of internal cycling in the network structure (high, medium, basic, and none) based on the metric cyclicity. None of the industrial systems analyzed matched the average values and amounts of cycling seen in biological ecosystems. Having detritus actors, i.e., active recyclers, is a key element for achieving more complex cycling behavior. Higher cyclicity values also correspond to higher amounts of indirect cycling and pathway proliferation rate, i.e., the rate that the number of paths increases as path length increases. In FWs, when significant cycling is present, indirect flows dominate direct flows. The application of these principles has the potential for novel insights in the context of closed-loop manufacturing systems and sustainable manufacturing.

Author(s):  
Astrid Layton ◽  
Bert Bras ◽  
John Reap ◽  
Marc Weissburg

In this paper we use ecology metrics to analyze closed loop manufacturing networks, specifically eco-industrial parks. Eco-industrial parks (EIP) have become a popular manifestation of sustainable initiatives around the world. EIP examples and proposals have met with varying success. We create here three groupings of industrial networks based on the values of cyclicity, a metric used by ecologists to classify the presence and strength of the structural cycling of materials and energy in a system. Ecological food web structures are naturally evolved closed-loop systems and as such exhibit relatively high cyclicity values. Comparing average biological values for cyclicity, among other metrics, to average values for industrial systems we may begin to reach conclusions on the success of the biological inspiration of these structures. The industrial networks have been grouped into industrial systems with cyclicity values of zero, industrial systems with very high cyclicity values which have not moved beyond the proposal stage, and cyclicity values for those industrial networks which have been successful. The results of these comparisons give insight into what structural properties eco-industrial parks should possibly focus on to better imitate the efficient and sustainable cycling representative of biological networks.


2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Amirreza Hooshyar Telegraphi ◽  
Akif Asil Bulgak

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.


Author(s):  
Astrid Layton ◽  
Bert Bras ◽  
Marc Weissburg

Ecology is proving to be an innovative source for design principles. Studies have examined how ecological principles can enhance sustainability in industrial networks. Ecologically-inspired manufacturing networks tend to focus on supporting symbiotic relationship formation, creating a cyclical flow structure that has been shown to result in efficiency and resource consumption improvements. Despite successes, bio-inspired manufacturing networks still fail to accurately mimic ecosystem cycling. The roles of exclusive actors and specialized predators in achieving the high cycling characteristic of ecosystems is investigated here. Exclusive actors participate in the network as either only a consumer (predator) or only a producer (prey). Specialized predators consume only one producer inside the system boundary. The populations of these special actors in manufacturing networks versus ecological food webs speaks to the potential influence these roles have on the cycling the network achieves. The trends shown here suggest less exclusivity is necessary for achieving ecologically-strong network cycling.


2012 ◽  
Vol 502 ◽  
pp. 43-48
Author(s):  
M.E. Peralta ◽  
Francisco Aguayo González ◽  
Juan Ramón Lama Ruiz

The sustainability of manufacturing processes lies in industrial planning and productive activity. Industrial plants are characterized by the management of resource (inputs and outputs), processing and conversion processes, which usually are organized in a linear system. Good planning will optimize the manufacturing and promoting the quality of the industrial system. Cradle to Cradle is a new paradigm for engineering and sustainable manufacturing that integrates projects (industrial parks, manufacturing plants, systems and products) in a framework consistent with the environment, adapted to the society and technology and economically viable. To carry it out, we implement this paradigm in the MGE2 (Genomic Model of Eco-innovation and Eco-design), as a methodology for designing and developing products and manufacturing systems with an approach from the cradle to cradle.


2019 ◽  
Vol 9 (11) ◽  
pp. 2264
Author(s):  
Gökan May ◽  
Dimitris Kiritsis

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


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.


Author(s):  
Xufeng Yao ◽  
Zeyi Sun ◽  
Lin Li ◽  
Hua Shao

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.


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