e-CAPP: A distributed collaborative system for internet-based process planning

Milošević, Milan; Lukić, Dejan; Antić, Aco; Lаlić, Bojаn; Ficko, Mirko; Šimunović, Goran

doi:10.1016/j.jmsy.2016.12.010

Cited by 24 publications

(8 citation statements)

References 38 publications

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“…In order to increase the quality of solutions, considered tasks represent a logical continuation of the research which would, apart from the observed approaches to defining weight coefficients and evaluating manufacturing processes, significantly cover the use of AI methods as a support to the multi-criteria decision making process. In addition, the improvement of the system is planned through the development of Web-based system for the conceptual process planning, according to [39].…”

Section: Resultsmentioning

confidence: 99%

Multi-criteria selection of manufacturing processes in the conceptual process planning

Lukić¹,

Milošević²,

Antić³

et al. 2017

Adv produc engineer manag

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Process planning is one of the most difficult tasks in product development caused by the large number of technical, technological, economic, environmental and other criteria. Accordingly, the selection of manufacturing processes is a complex multi-criteria decision making problem since it considers a number of possible alternative manufacturing processes in addition to a large number of specified criteria. This paper represents the computer-aided methodology for the multi-criteria evaluation and selection of manufacturing processes at the stage of conceptual process planning. The developed methodology is primarily focused on the mapping of product design and manufacturing requirements. Manufacturing processes that fail to meet the given conditions on the basis of 10 criteria such as materials, production volume, productivity, dimensional accuracy, surface finish, etc., are eliminated according to the developed rules. Then, the multi-criteria evaluation and ranking of manufacturing processes is performed based on 5 criteria: manufacturing cycle time, process flexibility, material utilization, quality and operating costs. Based on this methodology, a system is developed for the multi-criteria selection of manufacturing processes, whose implementation is presented in the case of the hip joint endoprosthesis.

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Section: Resultsmentioning

confidence: 99%

Multi-criteria selection of manufacturing processes in the conceptual process planning

Lukić¹,

Milošević²,

Antić³

et al. 2017

Adv produc engineer manag

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show abstract

“…Wang et al [25] proposed a general sorting method for machining features, which is used in the process planning of complex parts to solve one-to-many mapping between machining features and machining operations that leads to an increase in non-cutting tool paths. Milošević et al [26] proposed a system for a distributed and collaborative environment that can help manufacturing companies and experts discuss, recommend, evaluate, and select the best process plan for manufacturing a series of parts. Cheng and Wang.…”

Section: Application Of Different Algorithms In the Manufacturing Pro...mentioning

confidence: 99%

Product Quality Detection through Manufacturing Process Based on Sequential Patterns Considering Deep Semantic Learning and Process Rules

2020

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Companies accumulate a large amount of production process data during product manufacturing. Sequence data from the mining production process can enable a company to evaluate the manufacturing process, to find the key factors affecting product quality, and to improve product quality. However, the production process mainly exists in the form of text. To solve this problem, we propose a novel frequent pattern mining algorithm (EABMC) based on the text context semantics and rules of the manufacturing process to remove redundant sequences and to obtain good mining results. In this algorithm, first, we use embeddings from language models (ELMo ) to improve the process of text similarity matching and to classify similar semantic processes into one class. Then, the manufacturing process unit (MPU) is proposed by extracting the characteristics of manufacturing process data according to the constraints of the manufacturing process and other conditions. The above two steps cause the complex manufacturing process sequence to merge and simplify. Once again, a frequent pattern mining algorithm (CloFAST) is used to explore the important manufacturing process relationships behind a large amount of manufacturing data. In addition, taking the data from a production enterprise in Guizhou Province as an example, the validity of the method is verified. Compared with other methods, this method is shown to have greater mining efficiency and better results and can find out the key factors that affect product quality, especially for text data.

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“…In addition, Milosevic et al (2017) developed an advanced systemnamed e-CAPPfor distributed and collaborative environment for assisting manufacturing companies in part manufacturing processes. As for computer numerical control (CNC) machines, Jayakrishna et al (2016) performed a comparative analysis of a sustainable process and a conventional process using CNC.…”

Section: Stand-alone Systemsmentioning

confidence: 99%

Design, process and commercial benefits gained from AMT

Díaz-Reza

Alcaráz

Gil

et al. 2019

JMTM

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Purpose The purpose of this paper is to measure the relationships between advanced manufacturing technologies (AMTs) categories (stand-alone, intermediated and integrated systems) implementation and design, process and commercial benefits obtained. Design/methodology/approach A survey is designed with benefits gained from AMT implementation as well as its categories, which is applied to the maquiladora industry. A structural equation model with data from 383 responses is used to measure the relationship between AMT categories and benefits gained using nine hypotheses that are tested statistically significant using partial least squares. Also, using conditional probabilities, a sensitivity analysis reports how low and high levels from AMT implementation influence on the obtained benefits. Findings Integrated systems are the most important AMT for maquiladoras and have the strongest impact on design, processes and commercial benefits. Research limitations/implications Data obtained support the model, but results may be different in another industrial sector and countries with different labor culture and technological level. Practical implications Managers in maquiladora industry must focus their attention on integrated manufacturing systems, because high implementation levels guarantee the biggest probability to gain benefits in design, production process and commercial. Originality/value The relationship between AMT and their benefits has not been measured in depth, and this paper contributes to understand that problem. In addition, this paper is the first to report a sensitivity analysis that enables managers to acknowledge the probability of obtaining certain benefits.

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e-CAPP: A distributed collaborative system for internet-based process planning

Cited by 24 publications

References 38 publications

Multi-criteria selection of manufacturing processes in the conceptual process planning

Multi-criteria selection of manufacturing processes in the conceptual process planning

Product Quality Detection through Manufacturing Process Based on Sequential Patterns Considering Deep Semantic Learning and Process Rules

Design, process and commercial benefits gained from AMT

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