scholarly journals Potential Risks and Their Analysis of the Apparel & Textile Industry in Turkey: A Quality-Oriented Sustainability Approach

2018 ◽  
Vol 26 (6(132)) ◽  
pp. 30-42 ◽  
Author(s):  
Ayşenur Erdil ◽  
Erturul Taçgın
Keyword(s):  
Manufacturing Process ◽  
Textile Industry ◽  
Manufacturing Systems ◽  
Failure Modes ◽  
Negative Impact ◽  
Production Quality ◽  
Research Quality ◽  
Quality Level ◽  
Sustainable Supply Chain ◽  
Industrial Sectors

The most significant issues in businesses within the scope of manufacturing and services are the sustainability of production quality, setting quality standards and reducing the waste amount during the manufacturing process. From this point of view, the aim of this study is to provide a better quality level of supplying households’ apparel needs while reducing the environmental, economic and social problems of the sustainable supply chain of the apparel sector and extending the lifecycle of apparel. The importance of risk analyses and calculations in the applications of industrial sectors plays a vital role in evaluating the factors of sustainability dimensions. In order to address this risk analysis in this research, quality-oriented implementations are applied to determine the failure modes and effect analysis (FMEA). The significant factors are determined via Pareto Analysis (PA) to control and prevent potential errors and failures in the manufacturing systems of the textile industry. To achieve the aim of this study, the methodology of the research focuses on discovering failures of negative impact based on the primary factor degrees with the computing of risk priority numbers (RPNs) in the manufacturing process of the textile-apparel industry in Turkey. According to the ranking of the RPNs, FMEA application and PA enable to decrease the effects of negative factors and risks as well as the waste amount of the apparel-textile industry, as well as to increase the lifecycle of apparel and products.

Appearance FMEA: A Method for Appearance Quality Evaluation of Early Design Concepts

2009 ◽  
Author(s):  
Karin Forslund ◽  
Timo Kero ◽  
Rikard So¨derberg
Keyword(s):  
Industrial Design ◽  
Failure Modes ◽  
Negative Impact ◽  
Consumer Products ◽  
Product Development Process ◽  
Early Design ◽  
Product Experience ◽  
Design Concepts ◽  
Quality Aspects ◽  
Noise Factors

For consumer products, early design stages are often concerned with the product’s industrial design, with primary focus on the consumer’s product experience. At this stage, aspects such as manufacturability and robustness are often not thoroughly taken into account. Industrial design concepts not properly suited for manufacture, assembly and process variability can result in final products in which the appearance intent is not satisfactorily realized. This can have a negative impact on the customer’s product quality perception. If such problems are discovered late in the product development process, late design changes and increased project costs may follow. The main difficulty in evaluating perceived quality aspects during industrial design is that the product is still under development. It is not mature enough to enable prediction of the prerequisites for achieving high manufacturing quality. In this paper, we suggest that concepts instead could be evaluated as far as the intrinsic tendency of the product appearance to support manufacturing variation and other noise factors. This is addressed through the concept of visual robustness: the ability of a product’s visual appearance to stimulate the same product experience despite variety in its visual design properties. Here, a method is suggested based on the Failure Modes and Effects Analysis (FMEA). The method follows a structured procedure for addressing appearance issues.

Experimental Assessment of Roughness Changes in the Cutting Surface and Microhardness Changes of the Material S 355 J2 G3 after Being Cut by Non-Conventional Technologies

2011 ◽  
Vol 314-316 ◽  
pp. 1944-1947 ◽  
Author(s):  
Jozef Maščeník ◽  
Stefan Gaspar
Keyword(s):  
Mechanical Properties ◽  
Production Process ◽  
Laser Plasma ◽  
Manufacturing Process ◽  
Production Quality ◽  
Water Jet ◽  
Cutting Edge ◽  
Experimental Assessment ◽  
Cutting Surface ◽  
The Impact

Production of components, necessary for the construction of the machine resp. or device is a demanding manufacturing process. One of the possibilities of increasing efficiency and production quality is the introduction of unconventional technologies to the production process. Knowing the dependence of the impact of non-conventional technologies on the mechanical properties of products and their subsequent verification is an important aspect when designing and manufacturing them. The article deals with the impact of used unconventional technology, that means laser, plasma and water jet on the roughness of a cutting edge and microhardness of material S 355 J2 G3.

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.

VIKOR power law-based customer-oriented FMEA with complete unique risk priority numbers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Randula L. Hettiarachchi ◽  
Pisut Koomsap ◽  
Panarpa Ardneam
Keyword(s):  
Case Studies ◽  
Power Law ◽  
Design Methodology ◽  
Service Sector ◽  
Failure Modes ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Content Type ◽  
Industrial Sectors ◽  
Inherent Problem

PurposeAn inherent problem on risk priority number (RPN) value duplication of traditional failure modes and effect analysis (FMEA) also exists in two customer-oriented FMEAs. One has no unique value, and another has 1% unique values out of 4,000 possible values. The RPN value duplication has motivated the development of a new customer-oriented FMEA presented in this paper to achieve practically all 4,000 unique values and delivering reliable prioritization.Design/methodology/approachThe drastic improvement is the result of power-law and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). By having all three risk factors in a power-law form, all unique values can be obtained, and by applying VIKOR to these power-law terms, the prioritization is more practical and reliable.FindingsThe proposed VIKOR power law-based customer-oriented FMEA can achieve practically all 4,000 unique values and is tested with two case studies. The results are more logical than the results from the other two customer-oriented FMEAs.Research limitations/implicationsThe evaluation has been done on two case studies for the service sector. Therefore, additional case studies in other industrial sectors will be required to confirm the effectiveness of this new customer-oriented RPN calculation.Originality/valueAchieving all 1,000 unique values could only be done by having experts tabulate all possible combinations for the traditional FMEA. Therefore, achieving all 4,000 unique values will be much more challenging. A customer-oriented FMEA has been developed to achieve practically all 4,000 unique risk priority numbers, and that the prioritization is more practical and reliable. Furthermore, it has a connection to the traditional FMEA, which helps explain the traditional one from a broader perspective.

Fractal Pattern Recognition of Image Profiles for Manufacturing Process Monitoring and Control

2018 ◽  
Author(s):  
Farhad Imani ◽  
Bing Yao ◽  
Ruimin Chen ◽  
Prahalada Rao ◽  
Hui Yang
Keyword(s):  
Additive Manufacturing ◽  
Process Monitoring ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Experimental Studies ◽  
Precision Machining ◽  
Monitoring And Control ◽  
Process Monitoring And Control ◽  
Ultra Precision ◽  
And Control

Nowadays manufacturing industry faces increasing demands to customize products according to personal needs. This trend leads to a proliferation of complex product designs. To cope with this complexity, manufacturing systems are equipped with advanced sensing capabilities. However, traditional statistical process control methods are not concerned with the stream of in-process imaging data. Also, very little has been done to investigate nonlinearity, irregularity, and inhomogeneity in image stream collected from manufacturing processes. This paper presents the multifractal spectrum and lacunarity measures to characterize irregular and inhomogeneous patterns of image profiles, as well as detect the hidden dynamics of the underlying manufacturing process. Experimental studies show that the proposed method not only effectively characterizes the surface finishes for quality control of ultra-precision machining but also provides an effective model to link process parameters with fractal characteristics of in-process images acquired from additive manufacturing. This, in turn, will allow a swift response to processes changes and consequently reduce the number of defective products. The proposed fractal method has strong potentials to be applied for process monitoring and control in a variety of domains such as ultra-precision machining, additive manufacturing, and biomanufacturing.

scholarly journals A Metaheuristic Approach to Manufacturing Process Planning in Reconfigurable Manufacturing Systems

2012 ◽  
Author(s):  
Farayi Musharavati ◽  
Napsiah Ismail ◽  
Abdel Majid S. Hamouda ◽  
Abdul Rahman Ramli
Keyword(s):  
Simulated Annealing ◽  
Process Planning ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Solution Technique ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Analytical Functions ◽  
Manufacturing Line ◽  
Manufacturing Process Planning

Proses perancangan pembuatan adalah berkaitan dengan keputusan berdasarkan pemilihan tatarajah yang optimum daripada modul proses untuk pemprosesan bahagian kerja. Untuk pembentukan semula barisan pembuatan bagi pelbagai bahagian kerja, keputusannya dipengaruhi jenis proses yang sedia ada, hubungkait jujukan pemprosesan dan juga aturan pemprosesan bahagian kerja tersebut. Keputusan proses perancangan pembuatan mungkin bercanggah, oleh itu tugasan membuat keputusan perlu mengambil kira cara setemu. Kertas kerja ini membentangkan teknik optima untuk masalah berkaitan proses perancangan pembuatan dalam rangka kerja pembuatan pembentukan semula. Proses MPP dimodelkan sebagai masalah pengoptimuman dan keadah penyelesaian yang diperolehi daripada teknik metahuristik dikenali sebagai simulasi penyepuhlindapan. Fungsi analisis bagi memodel proses perancangan pembuatan adalah berdasarkan pengetahuan mengenai proses dan sistem pembuatan serta kekangan proses. Applikasi bagi pendekatan ini ditunjukkan melalui barisan pembuatan pembentukan semula berbilang tahap siri selari. Keputusan menunjukkan penambahbaik yang signifikasi diperolehi dalam penyelesaian untuk masalah jenis ini dengan menggunakan simulasi penyepuhlindapan. Tambahan pula, teknik metaheuristik berkebolehan untuk mengenal pasti kaedah proses pembuatan yang optima berdasarkan senario pengeluaran yang diberi. Kata kunci: Metaheuristik, simulasi penyepuhlindapan, proses perancangan pembuatan, sistem pembuatan pembentukan semula, senario pembuatan Manufacturing process planning (MPP) is concerned with decisions regarding selection of an optimal configuration for processing parts. For multiparts reconfigurable manufacturing lines, such decisions are strongly influenced by the types of processes available, the relationships for sequencing the processes and the order of processing parts. Decisions may conflict, hence the decision making tasks must be carried out in a concurrent manner. This paper outlines an optimization solution technique for the MPP problem in reconfigurable manufacturing systems (RMSs). MPP is modelled in an optimization perspective and the solution methodology is provided through a metaheuristic technique known as simulated annealing. Analytical functions for modelling MPP are based on knowledge of processes available to the manufacturing system as well as processing constraints. Application of this approach is illustrated through a multistage parallel–serial reconfigurable manufacturing line. The results show that significant improvements to the solution of this type of problem can be gained through the use of simulated annealing. Moreover, the metaheuristic technique is able to identify an optimal manufacturing process plan for a given production scenario. Key words: Metaheuristics, simulated annealing, manufacturing process planning, reconfigurable manufacturing systems, production scenarios

scholarly journals Modeling Product Manufacturing Reliability with Quality Variations Centered on the Multilayered Coupling Operational Characteristics of Intelligent Manufacturing Systems

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5677
Author(s):  
Anqi Zhang ◽  
Yihai He ◽  
Xiao Han ◽  
Yao Li ◽  
Xiuzhen Yang ◽  
...  
Keyword(s):  
Product Quality ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Coupling Effect ◽  
Intelligent Manufacturing ◽  
Intelligent Manufacturing Systems ◽  
Operational Characteristics ◽  
Product Manufacturing ◽  
Quality Variation ◽  
Variation Model

For intelligent manufacturing systems, there are many deviations in operational characteristics, and the coupling effect of harmful operational characteristics leads to the variations in quality of the work-in-process (WIP) and the degradation of the reliability of the finished product, which is reflected as a loss of product manufacturing reliability. However, few studies on the modeling of product manufacturing reliability and mechanism analysis consider the operating mechanism and the coupling of characteristics. Thus, a novel modeling approach based on quality variations centered on the coupling of operational characteristics is proposed to analyze the formation mechanism of product manufacturing reliability. First, the PQR chain containing the co-effects among the manufacturing system performance (P), the manufacturing process quality (Q), and the product manufacturing reliability (R) is elaborated. The connotation of product manufacturing reliability is defined, multilayered operational characteristics are determined, and operational data are collected by smart sensors. Second, on the basis of the coupling effect in the PQR chain, a multilayered product quality variation model is proposed by mining operational characteristic data obtained from sensors. Third, an integrated product manufacturing reliability model is presented on the basis of the variation propagation mechanism of the multilayered product quality variation model. Finally, a camshaft manufacturing reliability analysis is conducted to verify the validity of the proposed method. The method proposed in this paper proved to be effective for evaluating and predicting the product reliability in the smart manufacturing process.

Impact of liquidity and financial leverage on firm’s profitability – an empirical analysis of the textile industry of Pakistan

2019 ◽  
Vol 23 (4) ◽  
pp. 291-305 ◽  
Author(s):  
Asif Hussain Samo ◽  
Hadeeqa Murad
Keyword(s):  
Textile Industry ◽  
Negative Impact ◽  
Negative Relationship ◽  
Secondary Data ◽  
Annual Data ◽  
Strong Impact ◽  
Financial Leverage ◽  
Content Type ◽  
The Impact ◽  
Textile Sector

Purpose This study aims to determine the impact of liquidity and financial leverage on the profitability, using a sample of 40 selected publicly quoted companies in the textile sector of the Pakistani economy. Design/methodology/approach Through quantitative approach, pooled panel regression and descriptive statistics models are used by taking annual data of Pakistan’s textile sectors from 2006 to 2016. Secondary data has been gathered from financial statements of the firms. Findings The results revealed that there is a positive relationship between liquidity and profitability and negative relationship between financial leverage and profitability. The results for liquidity measure CR revealed positive strong impact on ROA and the financial leverage measure D_E ratio showed negative but not strong impact on ROA. The other part of result concluded that there is a positive strong impact of C_R on ROE too and D_E has a negative impact on ROE. Research limitations/implications The results are showing the impact among these ratios for the textile sector of Pakistan only. Practical implications This study can help higher management of textile firms firm in decision-making stating clearly about how to perform well to enhance financial health of company, which can encourage investors to invest in companies having sound market standing. Originality/value This study takes the latest empirical data with different analysis technique.

scholarly journals Determining the quality of continuous casting from billet caster

2019 ◽  
Vol 110 ◽  
pp. 01034
Author(s):  
Maria Androsenko ◽  
Ekaterina Kulikova ◽  
Nail Tyuteryakov ◽  
Elena Reshetnikova ◽  
Konstantin Pashenko ◽  
...  
Keyword(s):  
Continuous Casting ◽  
Statistical Methods ◽  
Production Quality ◽  
General Purpose ◽  
Quality Level ◽  
Data Recording ◽  
Calculation Data ◽  
Billet Caster

There are various methods and practical examples to determine and to evaluate the production quality level. They include measuring, sensory, calculation, data-recording, sociological and expert methods. Among the variety of general-purpose statistical methods, only seven of them are chosen, which are applied by different specialists. They allow timely detecting and showing the problems, revealing the main points to start with, and helping to distribute the efforts to effectively fulfill main tasks.

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