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Apparel Supply Chain
The Experts below are selected from a list of 252 Experts worldwide ranked by ideXlab platform
Tsanming Choi – One of the best experts on this subject based on the ideXlab platform.
a united nations sustainable development goals perspective for sustainable textile and Apparel Supply Chain managementTransportation Research Part E-logistics and Transportation Review, 2020Co-Authors: Yaju Cai, Tsanming ChoiAbstract:
Abstract Motivated by United Nations’ Sustainable Development Goals (SDGs) and the importance of sustainability, this study examines how the textile and Apparel (TA) Supply Chains can comply with the SDGs. By examining the literature as well as industrial practices, we show that the current sustainable operations in TA industry are far away from realizing the goals of economic growth going hand-in-hand with the social and environmental sustainability. For instance, among the SDGs, the goals of “Responsible Consumption and Production”, “Clean Water and Sanitation”, and “Climate Action” receive a considerable amount of attention, while goals of “No Poverty”, “Reduced Inequalities”, “Life below Water” and “Life on Land” have the least attention. Balanced sustainable development actions from the stakeholders’ perspective are proposed. Managerial implications and future studies are discussed.
using artificial neural networks to improve decision making in Apparel Supply Chain systemsInformation Systems for the Fashion and Apparel Industry, 2016Co-Authors: Patrick Chileung Hui, Tsanming ChoiAbstract:
With the advance of information technology, artificial neural networks (ANNs) are now a ready-to-use technology for all kinds of industries. In this paper, we examine how ANNs can be used to improve decision making in Apparel Supply Chain systems. We focus on four major application areas, namely the data mining of customer’s buying preferences, sales forecasting, inventory level prediction, and optimization of marker planning in Apparel production. Limitations of ANNs and the future research directions on using ANNs for Apparel Supply Chain management are discussed.
collaborative planning forecasting replenishment schemes in Apparel Supply Chain systems cases and research opportunities, 2014Co-Authors: Tsanming ChoiAbstract:
Fashion Apparel industry is dynamic, and is highly affected by the ever-changing market trend and consumer needs. With the constant change of consumers’ preferences, concepts such as fast fashion arise and become more and more dominant. Many of these concepts are made feasible only with a highly efficient and responsive Supply Chain. In this paper, collaborative planning, forecasting and replenishment (CPFR) schemes and various inventory management practices in Apparel Supply Chains are explored. We first focus on studying an individual case on a garment manufacturer. We then investigate the American denim Supply Chain and reveal various inventory management practices and the role played by CPFR. Some future research directions are discussed.
Karen Kaleung Moo – One of the best experts on this subject based on the ideXlab platform.
enterprise risk management insights from a textile Apparel Supply ChainInternational Journal of Risk and Contingency Management archive, 2014Co-Authors: Karen Kaleung Moo, Rita L Y ChaAbstract:
The authors investigate strategic measures companies adopt to combat and manage risks in order to survive and grow in an unstable economic environment. Based on in-depth interviews with senior staff from six Hong Kong-based successful enterprises in the textile and clothing industry, they find that companies have adopted various enterprise-wide, holistic, and integrative approaches to effectively address and manage risks. Also found was that the use of a formal approach to manage risks by a company at a different stage of the Enterprise Risk Management (ERM) maturity continuum is affected by its size, scope of operations, and legal structure. The findings from this study enhance the understanding of the relationship between organization structure and risk management.
decision support and intelligent systems in the textile and Apparel Supply Chain an academic review of research articlesExpert Systems With Applications, 2014Co-Authors: Eric W T Ngai, S Peng, Paul Alexande, Karen Kaleung MooAbstract:
This article provides a comprehensive review of research articles related to the application of decision support and intelligent systems in the textile and Apparel Supply Chains. Data were obtained from 77 articles published from 1994 to 2009 in 35 journals. The articles were categorized according to their applicability into three basic sectors – textile production, Apparel manufacture, and distribution/sales. They were further categorized into 16 subsectors based on their operational and management/control processes. A comprehensive list of categorized journal articles identified in this study provides insights and relevant references for both researchers and practitioners on the application of decision support and intelligent systems to various stages of a textile and Apparel Supply Chain. In light of the developed classification framework, we identify gaps in extending the use of the decision support and artificial intelligent systems in the industry and suggest potential and applicable research areas for further consideration in this subject area.
Clare Indley – One of the best experts on this subject based on the ideXlab platform.
disintermediation in the Apparel Supply ChainJournal of Fashion Marketing and Management, 2014Co-Authors: L Oxborrow, Clare IndleyAbstract:
Purpose – The Apparel industry has acted as a microcosm of global industrial change, exemplified by changes in structure, relationships and technologies. The purpose of this paper is to identify the risk drivers, the changing Supply strategies and the relationships suppliers are developing or exiting from, notably because of the increasing power of retailers in the fast fashion sector. Design/methodology/approach – The research adopts a qualitative, case study methodology of the Leicester (UK) based suppliers who operate in the fast fashion market. Findings – Rich narrative data shows that the Apparel Supply Chain has changed. The small and medium size enterprises (SMEs) have had more success in managing the upstream rather than the downstream, supported by their move towards a more design driven system. This willingness has been motivated by their wish to “own” the relationship with the buyer but this has not always resulted in greater power or returns and relationships have continued to be fractious. Re…