scholarly journals Maximizing performance of apparel manufacturing industry through CAD adoption

2020 ◽  
Vol 12 ◽  
pp. 184797902097552
Author(s):  
Sarita Chaudhary ◽  
Pardeep Kumar ◽  
Prashant Johri
Keyword(s):  
Manufacturing Industry ◽  
Product Development Process ◽  
Employee Productivity ◽  
Apparel Manufacturing ◽  
Adoption Of Technology ◽  
Cad System ◽  
Routine Design ◽  
Design Changes ◽  
Apparel Production ◽  
Apparel Manufacturers

Textile and apparel manufacturing industry of India is second highest employment generator sector and largest contributor to India’s GDP. Unfortunately, it lacks behind in innovations and adoption of technology to meet the challenges. The basic problem remains as how to bring varied designs to market quickly with less efforts and cost. The adoption of CAD technology offering enormous benefits to apparel manufacturers in India. It makes quick and efficient revisions in apparel design changes including colour adjustments on fabric pattern and resizing garments. CAD system enable designers to produce more accurate designs with less chance of mistakes by saving cost and time. Its integration with CAM offers many advantages during manufacturing process and makes the apparel production faster with consistent and accurate results every time. As all information related to design and production are stored in file format, it makes very easy to produce the same design again without repetition of previous activities. The introduction of CAD technology in the industry resulted to improved efficiency of the design process due to automation of routine design tasks, increased employee productivity and shortened lead time in the product development process. This study highlights on adoption of CAD technology, limitations and its impact on business.

scholarly journals Changing the Rules of the Game: Sustainable Product Service Systems and Manufacturing in the Fashion Industry

2020 ◽  
Author(s):  
Noël Palomo-Lovinsk ◽  
Steven Faerm
Keyword(s):  
Manufacturing Industry ◽  
Social Issues ◽  
The United States ◽  
Service Systems ◽  
Environmental Damage ◽  
Fashion Industry ◽  
Apparel Manufacturing ◽  
Constant Change ◽  
Production And Distribution ◽  
Apparel Production

The fashion industry is based on a bygone era in which time is linear and place is specific. This lack of relevancy results in global apparel production that is increasingly inefficient and destructive. The harmful practices of fashion manufacturing industry are no longer permissible in an age that has the knowledge capacity and technological innovations to avoid environmental damage and human inequalities. The deleterious manufacturing practices performed in developing countries contribute to the industry being under continued scrutiny, yet intensifying expectations for fast-paced delivery are at the root of these harmful practices. There is a tacit acknowledgement among fashion industry pundits that historical examples of manufacturing and commerce in the United States do not meet the demands of a society accustomed to instant access, constant change, and low prices. These slower and more traditional models of manufacturing and commerce will increasingly impede profitability in the contemporary marketplace as environmental and social issues continue. Thus, the fashion industry is in a state flux. Simultaneously, it must decrease destructive practices within the life cycle of clothing while remaining financially sustainable. This binary relationship elicits key questions that can help direct the industry toward a better future. What are the possibilities of domestic apparel manufacturing that utilizes innovative production methods, communication technology, and service systems that, in turn, encourage holistic, sustainable practices? What are the possibilities for and needs of designers who want to take full advantage of an evolving relationship between consumers and designers? In this study, particular attention is paid to new systems of production and distribution that will change the role of fashion designers for the future.

Improving Efficiency of Apparel Manufacturing Through the Principles of Resource Management

2021 ◽  
pp. 0887302X2110054
Author(s):  
Anis Fatima ◽  
Muhammad Tufail
Keyword(s):  
Resource Management ◽  
Competitive Advantage ◽  
Manufacturing Industry ◽  
Apparel Industry ◽  
Process Efficiency ◽  
Apparel Manufacturing ◽  
Effective Utilization ◽  
Time Motion ◽  
Motion Study ◽  
Product Layout

To gain the competitive advantage, it has become essential for manufacturing industry to use its resources effectively, efficiently and economically. It is required to understand that such resources are based on 5 Ms (manpower, methods, materials, money, and machinery). In this study an apparel industry was selected to create a directorial plan by using the ideologies of resource management to improve the process efficiency. For this the data related to the product layout, operation plan, and process flow was collected. Time motion study was performed for aspect analysis. Information regarding operation, number of machines and efficiency of the production line was evaluated. The proposed plan successfully increase the efficiency up to 10%. It also shows an improvement in effective utilization of manpower and money.

ROBOTS AND APPAREL MANUFACTURING

2021 ◽  
Vol 0 (15) ◽  
pp. 0-0
Author(s):  
Ahmet ÖZBEK ◽  
Oğuzhan PEKİNALP
Keyword(s):  
Quality Control ◽  
Humanoid Robot ◽  
Robotic Systems ◽  
Robotic Arm ◽  
Apparel Manufacturing ◽  
Robot Gripper ◽  
The People ◽  
Apparel Production ◽  
The Subject ◽  
Robot Technology

Aim: The main purpose of this manuscript is to examine the robot technologies developed or under development for use in apparel production. Then, based on the identified related robotic technologies, it is aimed to inform the apparel clothing companies about the latest status of robot technologies and to provide information about the identified shortcomings to the people or institutions interested in this field, leading to new studies. Method: Within the scope of the manuscript, the literature on the subject was searched. Results: As a result of the literature review, robotics developed or under development to perform fabric laying (PR2 robot, Gripper and Picking Pad), sewing (Kuka LWR 4 and Robotic Arm), ironing (Baxter and Humanoid robot TEO) and packaging (Robot Motoman SDA10D) technologies have been identified. However, no robot technology has been found for cutting and quality control processes. Conclusion: Although many robotic systems have been developed for use in the apparel production, it has been understood that new R&D studies are needed in this area in order for the production to be fully robotized.

scholarly journals Identification of The Concept Selection Method for Product Design and Development in The Manufacturing Industry

2018 ◽  
Vol 7 (2.29) ◽  
pp. 352 ◽  
Author(s):  
Shiau Wei Chan ◽  
Izzuddin Zaman ◽  
Md Fauzi Ahmad ◽  
Check Yee Liew
Keyword(s):  
Product Design ◽  
Manufacturing Industry ◽  
Selection Method ◽  
Product Development Process ◽  
Market Demand ◽  
Trial And Error ◽  
Concept Selection ◽  
Design And Development ◽  
Essential Knowledge ◽  
Production Areas

Concept selection is the most critical aspect of the entire product development process. However, many industries are not aware of this, or they might not possess essential knowledge about concept selection. Thus, this study aims to identify the concept selection method used by a series of particular areas within the manufacturing industry. In this study, the researcher conducted interviews with six managers from various production areas in the manufacturing industry. Then, the obtained data were analyzed qualitatively. The concept selection methods used for product design and development in the manufacturing industry were found to be based on various factors, including orders received, building and evaluating prototypes, discussion among executives, market demand, trial and error and the market’s standard deviation. This study serves as a guideline to help managers to evaluate concepts in a more practical way.

scholarly journals Mathematical Analysis of Supply Chain Optimization focusing on Artificial Neural Network: A case study in Apparel Manufacturing Organization

2022 ◽  
Author(s):  
Shibbir Ahmad ◽  
Mohammad Kamruzzaman
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Manufacturing Industry ◽  
Supply Chain Optimization ◽  
Apparel Manufacturing ◽  
Manufacturing Organizations ◽  
Manufacturing Organization ◽  
The Right

Abstract In this study, implemented artificial nueral network (Ann) in apparel manufacturing organizations to optimize the supply chain converging on right supplier selection by analyzing their performance criteria.Moreover, data collected from three diffrents factory to analyze the efficiney and profit -loss status of that units. Furthermore, analyze the supplier selection criteria of three suppliers in order to select the right supplier at the real time in apparel manufacturing industry . This study shows that it can be saved 20 % of the total cost.

Servitisation of an Industry and National Competitive Advantage in International Business: The Case of Taiwan Textile Manufacturing and Sri Lankan Apparel Manufacturing Industries

2017 ◽  
Vol 13 (3-4) ◽  
pp. 89-97
Author(s):  
Maheepala S. D. S. R. ◽  
Warnakulasooriya B. N. F. ◽  
Y. K. Weerakoon Banda
Keyword(s):  
Competitive Advantage ◽  
International Business ◽  
Manufacturing Industry ◽  
Sri Lankan ◽  
Apparel Manufacturing ◽  
Textile Manufacturing ◽  
Study Approach ◽  
Business To Business ◽  
National Competitive Advantage

Servitisation studies in extant literature contribute to the resource-based view and relational view where industrial organisation view was largely ignored due to the focus on individual manufacturing units. In international business industry, competitiveness is required to enhance the performance of individual organisations. Following post-positivism epistemology, a multi-case study approach has been employed in this study. The unit of analysis is the network consisting of manufacture, supplier and the customer. Two such units of apparel manufacturing industry in Sri Lanka and two units from textile manufacturing industry in Taiwan were selected. This study establishes the link between servitised industry and national competitive advantage. The collaboration with suppliers, indirect competitors and other partners were identified as critical factors to differentiate a business-to-business (B2B) manufacturing industry in an international business.

An Architecture for VR-Based Virtual Prototyping of Human-Operated Systems

1998 ◽  
Author(s):  
Sankar Jayaram ◽  
Scott R. Angster ◽  
Sanjay Gowda ◽  
Uma Jayaram ◽  
Robert R. Kreitzer
Keyword(s):  
Virtual Reality ◽  
Virtual Environment ◽  
Virtual Prototyping ◽  
Product Development Process ◽  
Open Architecture ◽  
Cad System ◽  
Human Modeling ◽  
Cad Cam ◽  
Third Person ◽  
Parametric Cad

Abstract Virtual prototyping is a relatively new field which is significantly changing the product development process. In many applications, virtual prototyping relies on virtual reality tools for analysis of designs. This paper presents an architecture for a virtual prototyping system which was created for the analysis of automotive interiors. This flexible and open architecture allows the integration of various virtual reality software and hardware tools with conventional state-of-the-art CAD/CAM tools to provide an integrated virtual prototyping environment. This architecture supports the automatic transfer of data from and to parametric CAD systems, human modeling for ergonomic evaluations (first person and third person perspectives), design modifications in the virtual environment, distributed evaluations of virtual prototypes, reverse transfer of design modifications to the CAD system, and preservation of design intent and assembly intent during modifications in the virtual environment.

Sensitivity Analysis of Relative Worth in Empirical and Simulation-Based QFD Matrices

2008 ◽  
Author(s):  
Robins M. Kalapurackal ◽  
Shun Takai
Keyword(s):  
Cost Reduction ◽  
Quality Function Deployment ◽  
Development Process ◽  
Rating Scales ◽  
Rating Scale ◽  
Calculation Scheme ◽  
Product Development Process ◽  
Customer Requirements ◽  
Design Changes ◽  
Simulation Based

Quality function deployment (QFD) is one of the most popular tools used in the product development process. It relates customer requirements to product requirements and enables engineers to determine which product requirement is more important than the others in satisfying customers. Some of the benefits of QFD are cost reduction, fewer design changes at the start of production, and improved communication among engineers. QFD applications use various approaches (i.e., worth calculation schemes and rating scales) to calculate the worth of requirements. The purpose of this paper is to study the change in the relative worth (normalized worth) of product requirements yielded by different rating scales and calculation schemes. We studied empirical and simulation-generated QFD matrices to determine how calculation schemes and rating scales influence the relative worth of requirements. Two representative scales and two calculation schemes are used to find the most and least sensitive cases, and the influence of the number of rows and columns in the relative worth of requirements. From the results, we identified the least sensitive and most sensitive combination of calculation scheme and rating scale. We also learned that QFD matrices become less sensitive to changes in rating scale and calculation scheme as the number of columns increases.

Sensitivity of System Boundary Conditions on the Migration of Low Frequency Modes Controlling Longitudinal Vehicle Response

2007 ◽  
Author(s):  
Jasjit Pawar ◽  
Sean Biggs ◽  
R. P. Jones
Keyword(s):  
Low Frequency ◽  
Cold Climate ◽  
Product Development Process ◽  
System Level ◽  
Design Changes ◽  
Subjective Assessments ◽  
Wheel Drive ◽  
Non Linear ◽  
Vehicle Test ◽  
Four Wheel Drive

Vehicle driveability is increasingly used as a key measure in media evaluations, and is refined aggressively to differentiate and position the product within its market segment. This is a highly complex system level issue, and encompasses the non-linear interactions between the driveline, suspension and powerunit mounting hardware. The driveability character of the vehicle has typically been tuned through calibration in the later stages of development. Through the use of physical prototypes, such activities have typically been performed on the basis of subjective assessments, to achieve a balanced compromise with other vehicle attributes such as ride, handling and refinement. This paper introduces a model-based approach to facilitate design and detailed analysis early in the product development process, thereby reducing reliance on physical prototypes and the need to implement late design changes. A detailed non-linear mathematical model has therefore been developed in order to characterise the low frequency, longitudinal behaviour of a prototype, four-wheel drive vehicle both in the time and frequency domains. In conjunction with full vehicle test measurements, the analytical model has been validated and then used to investigate a low frequency, fore-aft vehicle oscillation issue that was identified specifically during part throttle pullaway events in cold climate testing.

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