A Tool for Decision Making in Manufacturing Process Flexible

2008 ◽  
Author(s):  
Oscar Baez Senties ◽  
Alberto Aguilar Lasserre ◽  
Fernando Ortiz Flores ◽  
Raul Torres Osorio ◽  
Jose Pablo Nuno de la Parra
Keyword(s):  
Decision Making ◽  
Manufacturing Process

Knowledge-Integration Model for Networked Manufacturing

2011 ◽  
Vol 314-316 ◽  
pp. 2027-2032
Author(s):  
Jiao Jian Liu ◽  
Wen He Liao ◽  
Yu Guo ◽  
Wen Bin Wang
Keyword(s):  
Decision Making ◽  
Correlation Analysis ◽  
Knowledge Sharing ◽  
Manufacturing Process ◽  
Knowledge Integration ◽  
Decision Making Process ◽  
Networked Manufacturing ◽  
Optimum Distribution ◽  
Integration Model ◽  
Key Technologies

In order to maximize knowledge sharing and reuse in networked manufacturing process and improve the rapidity and reliability of decision-making, a knowledge-integration model and its implementation methods are proposed in this paper. First, the requirement for knowledge integration in networked manufacturing is analyzed. On this basis, a knowledge-integration model is built, and then three key technologies are studied, namely knowledge representation and organization based on ontology, knowledge correlation analysis based on complex network and knowledge supply based on decision-making context. This model provides an effective way to realize the optimum distribution of knowledge in networked manufacturing process and to improve the efficiency of decision-making process.

scholarly journals A Review of Engineering Research in Sustainable Manufacturing

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Karl R. Haapala ◽  
Fu Zhao ◽  
Jaime Camelio ◽  
John W. Sutherland ◽  
Steven J. Skerlos ◽  
...  
Keyword(s):  
Decision Making ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Supply Chain Design ◽  
Planning And Scheduling ◽  
Engineering Research ◽  
Challenges And Opportunities ◽  
Recent Developments ◽  
Planning Development

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.

scholarly journals Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process

2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Atef M. Ghaleb ◽  
Husam Kaid ◽  
Ali Alsamhan ◽  
Syed Hammad Mian ◽  
Lotfi Hidri
Keyword(s):  
Decision Making ◽  
Computational Complexity ◽  
Manufacturing Process ◽  
Group Decision ◽  
Die Casting ◽  
Multicriteria Decision Making ◽  
Sand Casting ◽  
Manufacturing Processes ◽  
Alternative Processes ◽  
Selection Of

The selection of manufacturing processes for a given application is a complex problem of multicriteria decision-making although there have been several different approaches that can be utilized to select a suitable alternative. However, identifying appropriate multicriteria decision-making approach from the list of available methods for a given application is a difficult task. This work suggests a methodology to assess different selection approaches, which are the technique for order of preference by similarity to ideal solution (TOPSIS), analytic hierarchy process (AHP), and VIKOR: stepwise procedure. This valuation was done depending on the following factors: number of alternative processes and criteria, agility through the process of decision-making, computational complexity, adequacy in supporting a group decision, and addition or removal of a criterion. A case study in this study was presented to analyse the evaluation methodology. The criteria used to evaluate and identify the best manufacturing process were categorized into productivity, accuracy, complexity, flexibility, material utilization, quality, and operation cost. Five manufacturing processes were considered, including gravity die casting, investment casting, pressure die casting, sand casting, and additive manufacturing. The results showed that each approach was suitable for the problems of manufacturing process selection, in particular toward the support of group decision-making and uncertainty modelling. Manufacturing processes were ranked based on their respective weights for AHP, TOPSIS, and VIKOR, and sand casting is the best. In terms of computational complexity, the VIKOR method performed better than TOPSIS and AHP. Moreover, the VIKOR and TOPSIS methods were better convenient to the selection of manufacturing processes for agility during the process of decision-making, the number of alternative processes and criteria, adequacy in supporting a group decision, and addition or removal of a criterion.

Model of the Decision Support System under Condition of Non-Determination for Manufacturing Process Support

2014 ◽  
Vol 611 ◽  
pp. 416-423
Author(s):  
Cyril Klimeš ◽  
Radim Farana
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Risk Analysis ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Manufacturing Process ◽  
Uncertain Information ◽  
Process Support ◽  
Decision Support Models

Decision support systems mean interactive computer systems, which assist to decision making subjects to utilize both data and models to solve non-structured issues. These systems were established mainly on the basis of a risk analysis, utilizing the experience/skills, conclusion making and intuition, enabling very fast and flexible analysis with a good response, enabling the application of manager intuition and judgment this way. However, such decisions are often based on uncertain information. This fact requires the establishment of other decision support models.

scholarly journals Development of hybrid model of coordinating decision-making formation for realization of manufacturing process at instrument-making enterprises

2016 ◽  
Vol 2 (6(28)) ◽  
pp. 18
Author(s):  
Андрей Павлович Собчак ◽  
Игорь Владимирович Шостак ◽  
Любовь Владимировна Шабанова-Кушнаренко
Keyword(s):  
Decision Making ◽  
Hybrid Model ◽  
Manufacturing Process ◽  
Instrument Making

Decision Making of Screw Manufacturing for the Best Environmental and Economic Combination by Using AHP

2013 ◽  
Vol 465-466 ◽  
pp. 1065-1069
Author(s):  
Mohd Azwir Azlan ◽  
Andy Anak Buja ◽  
Sia Chee Kiong ◽  
Nik Hisyamudin Muhd Nor ◽  
Jalil Azlis-Sani
Keyword(s):  
Decision Making ◽  
Stainless Steel ◽  
Carbon Steel ◽  
Environmental Impacts ◽  
Manufacturing Process ◽  
Low Carbon Steel ◽  
Machining Process ◽  
Steel Alloy ◽  
Low Carbon ◽  
Forging Process

This study is an approach to investigate the viable impacts of screw manufacturing. At the same time, choose the suitable material and selected manufacturing process of screw by considering environmental aspects without sacrificing the economic aspect. It is important to the organisation to improve the environmental aspect. Therefore in this study, the decision making was focused on economic aspects to produce the synergy results between economic and environmental impact. The parameters involved were types of material and manufacturing process of screw which using the available data of environmental and production volume. The two different manufacturing approaches being evaluated were machining and forging process. The types of material concerned for forging process encompassed low carbon steel, alloy steel stainless steel, and aluminium alloy. On the other hand, for machining process, the material being considered in screw manufacturing were cast iron, low carbon steel, alloy steel, stainless steel and aluminium alloy. The information of environmental impacts that generated from SolidWorks Sustainability tool and screw production cost were calculate using Manufacturing cost model, both information was used in Analytic Hierarchy Process (AHP) analysis to obtain local priority of economic and environmental impacts. Then, the ranking of both global and local priorities from economic impact and environmental impacts had enabled the determination of appropriate material used for those selected screw manufacturing process. As result, low carbon steel was chosen for forging process whereas cast iron was excelled in machining process, at the same time, stainless steel was not suggested to be used in both two processes.

Developing a Capability-Based Similarity Metric for Manufacturing Processes

2017 ◽  
Author(s):  
Kevin Li ◽  
William Z. Bernstein
Keyword(s):  
Decision Making ◽  
Manufacturing Process ◽  
Product Life Cycle ◽  
Process Model ◽  
Die Casting ◽  
Process Models ◽  
Manufacturing Processes ◽  
Design Phase ◽  
Similarity Metric ◽  
On Line

Manufacturing taxonomies and accompanying metadata of manufacturing processes have been catalogued in both reference books and databases on-line. However, such information remains in a form that is uninformative to the various stages of the product life cycle, including the design phase and manufacturing-related activities. This challenge lies in the varying nature in how the data is captured and represented. In this paper, we explore measures for comparing manufacturing data with the goal of developing a capability-based similarity metric for manufacturing processes. To judge the effectiveness of these metrics, we apply permutations of them to 26 manufacturing process models, such as blow molding, die casting, and milling, that were created based on the ASTM E3012-16 standard. Furthermore, we provide directions towards the development of an aggregate similarity metric considering multiple capability features. In the future, this work will contribute to a broad vision of a manufacturing process model repository by helping ease decision-making for engineering design and planning.

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