Impact of COVID-19 on the Textile, Apparel and Fashion Manufacturing Industry Supply Chain: Case Study on a Ready-Made Garment Manufacturing Industry

2020 ◽  
Author(s):  
Samit Chakraborty ◽  
Manik Chandra Biswas
2022 ◽  
Author(s):  
Shibbir Ahmad ◽  
Mohammad Kamruzzaman

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.


2014 ◽  
Vol 687-691 ◽  
pp. 4803-4806 ◽  
Author(s):  
Kuo Hua Lin ◽  
Yong Qiang Zhang ◽  
Sang Bing Tsai ◽  
Shen Shi Wen ◽  
Cheng Kuang Wang

Green Supply Chain (GSC) requires suppliers to give integrated consideration to their products and the environment-related management practice. The principle of environmental protection shall be incorporated in the supplier management mechanism, with the objective of embodying environmental protection concept in the products, and hence promoting market competiveness. This is a case study on the PCB industry, and the performance of green competitiveness of the company in case was evaluated with the IPA approach. The result then served as the basis for the company’s improvement.


2021 ◽  
Author(s):  
M Ayaz ◽  
MJ Ashraf ◽  
Trevor Hopper

© The Author(s) 2019. This case study of the restructuring of Pakistan’s garment manufacturing industry explores how attempts to increase capital’s control over the labour process intersect with local patriarchal structures and trigger workers’ reflexivity and agency causing unanticipated consequences. Using Archer’s notion of agency, the article examines the theoretical space where capitalism meets patriarchy, and both are reproduced. The focus on reflexivity, anchored between objective contexts and agents’ personal concerns, helps theorize capital–labour–gender relations in global supply chains and explains workers’ impactful resistance to protect a supposedly precarious work regime. Our findings challenge the notion that globalization reduces workers’ agency and their potential for impactful resistance.


Resources ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 176
Author(s):  
Catherine Benoit Norris ◽  
Gregory A. Norris ◽  
Lina Azuero ◽  
John Pflueger

This article introduces a process that can be used by companies to obtain an increasingly precise picture of their supply chain social footprint (negative impacts) and identify potential social handprints (i.e., changes to business as usual that create positive impacts) using social organizational life cycle assessment (SO-LCA). The process was developed to apply to the electronics sector but can be used by companies in any industry. Our case study presents the social footprint of a typical US computer manufacturing company and identifies potential salient social risks and hotspots using generic information about the inputs that are related to a global trade model. The global trade model enables us to map the likely supply chain based on where inputs are usually sourced from by the US electronic computer manufacturing sector. In order to identify material impacts, normalization factors were created and used. Once the material impacts and salient risks are known, it becomes necessary to identify root causes in order to plan actions that will truly make a meaningful change, addressing the issues at stake. The article concludes by establishing a methodology that enables the use of the industry-level impacts and assessment in combination with the organization’s own data to calculate company-specific results.


2015 ◽  
Vol 22 (2) ◽  
pp. 290-308 ◽  
Author(s):  
Ilkka Sillanpää

Purpose – Supply chain (SC) performance measurement – the process of qualifying the efficiency and effectiveness of the SC. The purpose of this paper is to create a SC measurement framework for manufacturing industry, define which data should be measured and verify the measurement framework in the case company’s SC. Design/methodology/approach – There is a review of the current understanding of supply chain management and literature related to SC performance measurement and the study creates a framework for SC measurement. This research is qualitative case study research. Findings – This study presents the main theoretical framework of SC performance measurement. The key elements for the measurement framework were defined as time, profitability, order book analysis and managerial analysis. The measurement framework is tested by measuring case SC performance. Research limitations/implications – In the study, a performance measurement framework was created for the needs of manufacturing industry. Suggestions for future research are multiple case study in different manufacturing industry areas and positivistic-based SC performance research. Practical implications – The measurement framework in this study offers guidelines for measuring the SC in manufacturing industry but the measurement framework could be used in different areas of industry as well. Originality/value – The SC performance measurement framework is tested and a valid framework for SC performance measurement in manufacturing industry.


Author(s):  
Woo-Kyun Jung ◽  
Dong-Ryul Kim ◽  
Hyunsu Lee ◽  
Tae-Hun Lee ◽  
Insoon Yang ◽  
...  

AbstractIn the manufacturing industry, the smart factory is considered the final stage of the Fourth Industrial Revolution. Manufacturing companies are pursuing breakthroughs by introducing various advanced technologies to ensure their competitiveness. However, it is difficult for small and medium-sized enterprises (SMEs) to adopt smart-factory technologies, owing to financial and technical burdens. This paper proposes a smart factory that can be applied technically and strategically to the introduction of a smart factory for SMEs. The concept of an ‘appropriate smart factory’ involves applying appropriate measures in terms of cost and scale with consideration of the situations faced by SMEs. The goal is to build a smart factory that has necessary functions (Essential) but can be easily operated (Simple) at a low cost (Affordable) and has compatibility (Interoperable). This paper presents technical application measures such as appropriate smart sensors, appropriate IoT (Internet of Things), and small data processing, along with the definition of an appropriate smart factory. In addition, a case study was examined where the quality inspection equipment for garment manufacturing SMEs was developed by applying the appropriate smart factory concept.


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