Optimal Modular Remanufactured Product Configuration and Harvesting Planning for End-of-Life Products

2021 ◽  
pp. 1-11
Author(s):  
Jinju Kim ◽  
Seyoung Park ◽  
Harrison Kim
Keyword(s):  
Production Process ◽  
End Of Life ◽  
New Products ◽  
Integrated Model ◽  
Product Configuration ◽  
Configuration Design ◽  
Recovery Strategy ◽  
Disassembly Process ◽  
Production Processes ◽  
Proposed Model

Abstract Remanufacturing is a representative product recovery strategy that can improve economic profitability and sustainability by restoring discarded or traded-in used products to a like-new condition. Unlike the production process of new products, remanufacturing requires unique production processes, such as collecting used products and dis(re)assembly. Therefore, several factors need to be considered for the design of remanufactured products. First, when designing a remanufactured product, it is crucial to ensure that the specifications of components meet the customer's requirements because the remanufacturing uses relatively outdated components or modules. In addition, it is necessary to consider the disassembly level and order to facilitate the disassembly process to obtain the desired parts. This study proposes an integrated model to (i) find configuration design suitable for remanufactured products that can maximize customer utility based on End-of-life products, and (ii) establish a harvest plan that determines the optimal disassembly operations and levels. This proposed model can be used as a decisionmaking tool that helps product designers find the appropriate design of remanufactured products while increasing the efficiency of the remanufacturing process.

Optimal Modular Remanufactured Product Configuration and Harvesting Planning for End-of-Life Products

2021 ◽  
Author(s):  
Jinju Kim ◽  
Seyoung Park ◽  
Harrison M. Kim
Keyword(s):  
Production Process ◽  
End Of Life ◽  
New Products ◽  
Product Configuration ◽  
Target Component ◽  
Configuration Design ◽  
Customer Demand ◽  
Proposed Model ◽  
Disassembly Sequence ◽  
Selective Disassembly

Abstract Since remanufacturing requires additional processes compared to the production process of new products, various factors need to be considered. First, it is necessary to decide which end-of-life (EoL) product parts/modules to use among the EoL products available for the remanufactured product. At this stage, it is crucial to understand the future customer demand and requirements for each part. Next, it is also necessary to figure out whether selective disassembly is possible to disassemble a specific target component without completely disassembling the product. With the increasing number of product designs that are difficult to disassemble, the disassembly sequence and level should be considered for the efficiency of the overall remanufacturing process. This study proposes an integrated model to (i) find configuration design suitable for remanufactured products that can maximize customer utility based on current EoL products, and (ii) establish a harvest plan that determines the optimal operations and levels. This proposed model can be used as a tool that helps product designers find the appropriate design of remanufactured products while increasing the efficiency of the remanufacturing process.

scholarly journals Configuration Analysis to Support Product Redesign for End-of-Life Disassembly

2000 ◽  
Author(s):  
Shivakumar Viswanathan ◽  
Venkat Allada
Keyword(s):  
End Of Life ◽  
Formal Model ◽  
Important Determinant ◽  
Product Configuration ◽  
Design Stage ◽  
Disassembly Process ◽  
Proposed Model ◽  
Useful Life ◽  
Environmental Goals ◽  
Cv Model

Abstract End of life disassembly is an important process that can be used to make available the parts of a product for different material and part recycling processes at end of the product’s useful life. However, the efficiency of the disassembly process greatly affects the economics of meeting the environmental goals set for the product. An important determinant of the disassembly efficiency is the product configuration. Therefore, it is essential that these implications of the configuration be assessed and modified during the design stage itself. To support this design effort a formal model called the Configuration-Value (CV) model is proposed to evaluate and analyze the effect of product configuration on end-of-life disassembly. This model focuses on the rate of value extraction during the disassembly process and can be used to identify the critical bottlenecks in the configuration that need rectification by design. An example is presented to demonstrate the application of the proposed model.

Dynamic Disassembly Planning for Remanufacturing of Multiple Types of Products

2010 ◽  
Author(s):  
Changmuk Kang ◽  
Yoo S. Hong
Keyword(s):  
Linear Programming ◽  
End Of Life ◽  
Programming Model ◽  
Cost Minimization ◽  
New Products ◽  
Variable Level ◽  
Proposed Model ◽  
Return Flows ◽  
Disassembly Plan ◽  
Disassembly Planning

With the increased need for remanufacturing of end-of-life products, achieving economic efficiency in remanufacturing is urgently needed. The purpose of this study was to devise a cost-minimization plan for disassembly and remanufacturing of end-of-life products returned by consumers. A returned end-of-life product is disassembled into remanufacturable parts, which are supposed to be used for new products after being remanufactured. Each end-of-life product is disassembled into parts at variable levels as needed, taking into account not only disassembly but also manufacturing, remanufacturing, and holding inventory of remanufacturable parts. This study proposes a linear programming model for derivation of the optimal disassembly plan for each returned product, under deterministically known demand and return flows. For the purposes of an illustrative example, the proposed model was applied to the formulation of an optimal disassembly and remanufacturing plan of ‘Fuser Assembly’ of laser printers. The solution reveals that variable-level disassembly of products saves a significant remanufacturing cost compared with full disassembly.

Cost optimization of project schedules under constrained resources and alternative production processes by mixed-integer nonlinear programming

2019 ◽  
Vol 26 (10) ◽  
pp. 2474-2508 ◽  
Author(s):  
Rok Cajzek ◽  
Uroš Klanšek
Keyword(s):  
Nonlinear Programming ◽  
Production Process ◽  
Cost Optimization ◽  
Mixed Integer ◽  
Time Constraints ◽  
Resource Constrained ◽  
Content Type ◽  
Production Processes ◽  
Proposed Model ◽  
Integer Nonlinear Programming

Purpose The purpose of this paper is cost optimization of project schedules under constrained resources and alternative production processes (APPs). Design/methodology/approach The model contains a cost objective function, generalized precedence relationship constraints, activity duration and start time constraints, lag/lead time constraints, execution mode (EM) constraints, project duration constraints, working time unit assignment constraints and resource constraints. The mixed-integer nonlinear programming (MINLP) superstructure of discrete solutions covers time–cost–resource options related to various EMs for project activities as well as variants for production process implementation. Findings The proposed model provides the exact optimal output data for project management, such as network diagrams, Gantt charts, histograms and S-curves. In contrast to classic scheduling approaches, here the optimal project structure is obtained as a model-endogenous decision. The project planner is thus enabled to achieve optimization of the production process simultaneously with resource-constrained scheduling of activities in discrete time units and at a minimum total cost. Practical implications A set of application examples are addressed on an actual construction project to display the advantages of proposed model. Originality/value The unique value this paper contributes to the body of knowledge reflects through the proposed MINLP model, which is capable of performing the exact cost optimization of production process (where presence and number of activities including their mutual relations are dealt as feasible alternatives, meaning not as fixed parameters) simultaneously with the associated resource-constrained project scheduling, whereby that is achieved within a uniform procedure.

scholarly journals Assessment of the Design for Manufacturability Using Fuzzy Logic

2020 ◽  
Vol 10 (11) ◽  
pp. 3935
Author(s):  
Józef Matuszek ◽  
Tomasz Seneta ◽  
Aleksander Moczała
Keyword(s):  
Fuzzy Logic ◽  
Production Process ◽  
Manufacturing Process ◽  
New Products ◽  
New Product ◽  
Point Of View ◽  
Design For Manufacturability ◽  
Process Performance ◽  
Production Processes ◽  
Organization Of Production

The study proposes a procedure for assessing the designed manufacturing process for a new products. The purpose of the developed procedure is to evaluate the production process from the point of view of product design manufacturability of a unit and the small-lot production process. Evaluation of the design for the production process of a new product is based on criteria like process performance efficiency. Fuzzy logic-based methods were used to assess the designed process at different stages of its implementation—processing, assembly and organization of production. The developed method was illustrated by an example. The method presented in the study may be used by designers of production processes and employees of companies involved in the rationalization of already implemented production processes. The proposed method applies specifically to small-lot and unit production.

scholarly journals Application of the Deep CNN-Based Method in Industrial System for Wire Marking Identification

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3659
Author(s):  
Andrzej Szajna ◽  
Mariusz Kostrzewski ◽  
Krzysztof Ciebiera ◽  
Roman Stryjski ◽  
Waldemar Woźniak
Keyword(s):  
Production Process ◽  
Process Development ◽  
Process Time ◽  
Industrial System ◽  
Assembly Process ◽  
Production Environment ◽  
Deep Convolutional Neural Networks ◽  
Control Cabinet ◽  
Production Processes ◽  
The Wire

Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th anniversary in 2021. Still, the digitalization of the production environment is one of the hottest topics in the computer science departments at universities and companies. Optimization of production processes or redefinition of the production concepts is meaningful in light of the current industrial and research agendas. Both the mentioned optimization and redefinition are considered in numerous subtopics and technologies. One of the most significant topics in these areas is the newest findings and applications of artificial intelligence (AI)—machine learning (ML) and deep convolutional neural networks (DCNNs). The authors invented a method and device that supports the wiring assembly in the control cabinet production process, namely, the Wire Label Reader (WLR) industrial system. The implementation of this device was a big technical challenge. It required very advanced IT technologies, ML, image recognition, and DCNN as well. This paper focuses on an in-depth description of the underlying methodology of this device, its construction, and foremostly, the assembly industrial processes, through which this device is implemented. It was significant for the authors to validate the usability of the device within mentioned production processes and to express both advantages and challenges connected to such assembly process development. The authors noted that in-depth studies connected to the effects of AI applications in the presented area are sparse. Further, the idea of the WLR device is presented while also including results of DCNN training (with recognition results of 99.7% although challenging conditions), the device implementation in the wire assembly production process, and its users’ opinions. The authors have analyzed how the WLR affects assembly process time and energy consumption, and accordingly, the advantages and challenges of the device. Among the most impressive results of the WLR implementation in the assembly process one can be mentioned—the device ensures significant process time reduction regardless of the number of characters printed on a wire.

Microworld Development

2008 ◽  
Vol 40 (1) ◽  
pp. 84-97 ◽  
Author(s):  
Mathias M. Fischer ◽  
Federico Barnabè
Keyword(s):  
Production Process ◽  
Model Building ◽  
Calcium Carbide ◽  
Group Model ◽  
Interactive Learning Environment ◽  
Industrial Firms ◽  
Chemical Company ◽  
Production Processes ◽  
Computer Based ◽  
Building Project

The article presents the outcomes of a group model-building project at a chemical company that produces calcium carbide. The project led not only to the creation of a system dynamics model describing the production process but also to a microworld, a computer-based interactive learning environment meant to reproduce most of the features of the operating and controlling software actually used in the company. The process of organizational learning, the gaining of a better common understanding of the production process, and the development of the different mental models of the plant operators were some of the project's main goals. Moreover, the method followed during the project can be considered as general and can be used mainly in a variety of production processes in most manufacturing industrial firms both for the modeling of production processes and for teaching and training the operators who manage such systems.

scholarly journals A Novel Approach for Forest Fragmentation Susceptibility Mapping and Assessment: A Case Study from the Indian Himalayan Region

2021 ◽  
Vol 13 (20) ◽  
pp. 4090
Author(s):  
Amit Kumar Batar ◽  
Hideaki Shibata ◽  
Teiji Watanabe
Keyword(s):  
Forest Fragmentation ◽  
Integrated Model ◽  
Himalayan Region ◽  
Geographical Information ◽  
Susceptibility Map ◽  
Forest Landscape ◽  
Indian Himalayan Region ◽  
Proposed Model ◽  
Causative Factors ◽  
The Future

An estimation of where forest fragmentation is likely to occur is critically important for improving the integrity of the forest landscape. We prepare a forest fragmentation susceptibility map for the first time by developing an integrated model and identify its causative factors in the forest landscape. Our proposed model is based upon the synergistic use of the earth observation data, forest fragmentation approach, patch forests, causative factors, and the weight-of-evidence (WOE) method in a Geographical Information System (GIS) platform. We evaluate the applicability of the proposed model in the Indian Himalayan region, a region of rich biodiversity and environmental significance in the Indian subcontinent. To obtain a forest fragmentation susceptibility map, we used patch forests as past evidence of completely degraded forests. Subsequently, we used these patch forests in the WOE method to assign the standardized weight value to each class of causative factors tested by the Variance Inflation Factor (VIF) method. Finally, we prepare a forest fragmentation susceptibility map and classify it into five levels: very low, low, medium, high, and very high and test its validity using 30% randomly selected patch forests. Our study reveals that around 40% of the study area is highly susceptible to forest fragmentation. This study identifies that forest fragmentation is more likely to occur if proximity to built-up areas, roads, agricultural lands, and streams is low, whereas it is less likely to occur in higher altitude zones (more than 2000 m a.s.l.). Additionally, forest fragmentation will likely occur in areas mainly facing south, east, southwest, and southeast directions and on very gentle and gentle slopes (less than 25 degrees). This study identifies Himalayan moist temperate and pine forests as being likely to be most affected by forest fragmentation in the future. The results suggest that the study area would experience more forest fragmentation in the future, meaning loss of forest landscape integrity and rich biodiversity in the Indian Himalayan region. Our integrated model achieved a prediction accuracy of 88.7%, indicating good accuracy of the model. This study will be helpful to minimize forest fragmentation and improve the integrity of the forest landscape by implementing forest restoration and reforestation schemes.

scholarly journals The stability of major and trace element concentrations from musts to Champagne during the production process

OENO One ◽  
2022 ◽  
Vol 56 (1) ◽  
pp. 29-40
Author(s):  
Robin Cellier ◽  
Sylvain Berail ◽  
Ekaterina Epova ◽  
Julien Barre ◽  
Fanny Claverie ◽  
...  
Keyword(s):  
Trace Elements ◽  
Production Process ◽  
Trace Element ◽  
Narrow Range ◽  
Grape Juice ◽  
Elemental Concentrations ◽  
Element Concentrations ◽  
Production Processes ◽  
Overall Stability ◽  
The Stability

Thirty-nine Champagnes from six different brands originating from the AOC Champagne area were analyzed for major and trace element concentrations in the context of their production processes and in relation to their geographical origins. Inorganic analyses were performed on the must (i.e., grape juice) originating from different AOC areas and the final Champagne. The observed elemental concentrations displayed a very narrow range of variability. Typical concentrations observed in Champagne are expressed in mg/L for elements such as K, Ca, Mg, Na, B, Fe, A, and Mn. They are expressed in µg/L for trace elements such as Sr, Rb, Ba, Cu, Ni, Pb Cr and Li in decreasing order of concentrations. This overall homogeneity was observed for Sr and Rb in particular, which showed a very narrow range of concentrations (150 < Rb < 300 µg/L and 150 < Sr < 350 µg/L) in Champagne. The musts contained similar levels of concentration but showed slightly higher variability since they are directly influenced by the bedrock, which is quite homogenous in the AOC area being studied. Besides the homogeneity of the bedrock, the overall stability of the concentrations recorded in the samples can also be directly linked to the successive blending steps, both at the must level and prior to the final bottling. A detailed analysis of the main additives, sugar, yeast and bentonite, during the Champagne production process, did not show a major impact on the elemental signature of Champagne.

Sign in / Sign up

Export Citation Format

Share Document