Vision guided robotic fabric manipulation for apparel manufacturing

2005 ◽  
Author(s):  
E. Torgerson ◽  
F. Paul
Keyword(s):  
Apparel Manufacturing ◽  
Fabric Manipulation

scholarly journals Life Cycle Blue and Grey Water in the Supply Chain of China’s Apparel Manufacturing

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1212
Author(s):  
Ao Liu ◽  
Aixi Han ◽  
Li Chai
Keyword(s):  
Water Pollution ◽  
Supply Chain ◽  
Life Cycle ◽  
Water Consumption ◽  
Agricultural Sector ◽  
Oxygen Demand ◽  
High Water ◽  
Grey Water ◽  
Apparel Manufacturing ◽  
Economic Output

Apparel manufacturing involves high water consumption and heavy water pollution in its supply chain, e.g., planting cotton, producing chemical fibers, and dyeing. This study employs a multi-regional input–output (MRIO) model to (1) assess the life cycle of blue and grey water (chemical oxygen demand (COD) specific) of China’s apparel manufacturing; (2) reveal the hidden linkage among sectors and regions in the whole supply chain; and (3) identify the key regions and upstream sectors with the most water consumption and heaviest water pollution. We found that the agricultural sector (i.e., planting fiber crops) is responsible for primary water consumption and water pollution. In addition, different provinces assume different production roles. Guangdong is a major output province in apparel manufacturing. However, its economic output is contributed to by other regions, such as blue water from Xinjiang and Jiangsu and grey water from Hebei and Shandong. Our research reveals the significance of taking an inter-regional perspective on water resource issues throughout the supply chain in apparel manufacturing. The sustainable development of China’s apparel manufacturing relies on improving water-use efficiency and reasonable industrial layout. The results are of significance and informative for policymakers to build a water-sustainable apparel industry.

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.

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