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The South American textile industry is experiencing unprecedented opportunities to enter the US textile/apparel market and be a collaborator in the US textile/apparel supply chain. This study intends to provide an illustration of South American small to medium‐sized companies in the textile/apparel industry concerning supply chain management such as quality, logistics, forecasting techniques, lead time, inventory management, and integration of supply chain.

The study in this paper first identifies the principal issues that concern US companies that must be addressed by small companies in their chase to become suppliers in the US textile/apparel industry. Second, this paper provides general descriptions of small textile companies in South America and discusses their performance in the different areas of supply chain management such as quality, logistics, forecasting, production planning, and supply chain integration. A survey is done to provide the comparison between what is expected in the US textile/apparel industry and the performance of South American companies.

The analyzed results provide recommendations based on the evaluation of strengths and weaknesses that may be used as references for these small companies to increase their potential of being active partners in the US supply chain.

This research provides the US and South American textile/apparel companies with the understanding of the issues and constraints of potential South American suppliers and allows them to establish strategic alliances with South American suppliers.

The study provides a clear view of the strengths and weaknesses of South American small to medium‐sized textile/apparel companies that can help both US and South American companies in the pursuit of new opportunities in textile/apparel supply chain collaborations.

The paper seeks to develop strategic planning to enhance sustainable competitiveness in the US textile industry with a consideration of DR‐CAFTA as an opportunity to establish responsive supply chain networks in the Western hemisphere.

The analysis was based on literature reviews, trade data analyses, and site visits for personal interviews at textile and apparel companies in North Carolina and the Office of Textile and Apparel at the US Department of Commerce, Washington, DC.

DR‐CAFTA countries constitute the only remaining region that the US textile industry can use to achieve speed‐to‐market advantages from geographical proximity. Market analysis indicated both voids and opportunities in “fast retailing” supply chain networks. In developing time‐to‐market supply chain networks, it is suggested that the implementation of DR‐CAFTA should focus on: streamlining the rules of origin, expanding the short‐supply list, and coordinating custom procedures; financing options for DR‐CAFTA countries' procurement of fabrics and other raw materials from the USA.

Two models are proposed which can possibly be implemented by the US textile industry: a shortened supply chain for knitted sportswear and fashionable shirts that can capitalize on time‐to‐market; and triangular supply‐chain networks among US retailers and textile companies, Asian textile manufacturers, and DR‐CAFTA apparel manufacturers for fashion basics.

This study has an implication for the US textile industry and policy makers to develop future strategic planning in the post‐quota era. The suggestions will contribute to enhancing the competitiveness of the US textile industry in the intense global competition by achieving speed‐to‐market with DR‐CAFTA countries.

This research presents a study on the supply chain process of an Indian apparel industry considering various parameters involved. The study aims to identify the main parameters to improve the supply chain process and develop a comprehensive structural relationship to rank them to streamline the apparel supply chain process and business environment.

The team of five experts from this apparel industry was made to give scores to multiple parameters. The TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) technique is used to develop the model for eleven key parameters and then rank them.

Based on the data analysis the planning, customer and warehouse storage have emerged as top three key parameters while the non-replenishment approach, push and pull strategy and manufacturing of the product are identified as the bottom three parameters from a hierarchy level. These parameters have been ranked based on their contributing attributes in this apparel supply chain process.

The study provides an overall ranking of parameters and the implications are in the direction of helping the industry to improve its supply chain performances rather than focus only on productivity. Further, the key parameters are identified as critical inputs and show that the firms are being more proactive and well prepared comprised of the industry.

The study indicates that the key parameters are identified by this apparel brand to improve its supply chain process. The key supply chain process involves planning, manufacturing, distribution, end customer and returns logistics of the goods, etc. So, this research also provides the focused parameters on the supply chain performance received by end customer from the supplier and rank them for effectiveness and improve their overall organizational performance. It also provides a critical observation of their supply chain process improvement which includes different brand uses, strategies and approaches.

The purpose of this paper is to reveal the empirical issues of the implementation of coordination for textile‐apparel supply chains.

Employing case study, the paper examines three different types of coordination practice in three different structures of textile‐apparel supply chains: vertical integration chain, efficiency oriented chain and 3P‐hub chain. The coordinators are three leading Hong Kong based international textiles and apparel companies in these cases. The case sources are published articles, company web sites and some open seminars offered by the case companies.

In textile and apparel industries, brand owners generally coordinate the supply chain. There are also other coordination practices in industries. Through the research observations and analyses in the cases it is found that the integrated company, powerful garment manufacturer and trade agent play the role of coordinators in vertical integration chain, efficiency oriented chain and 3P‐hub chain, respectively. No matter what type of coordination practice, information sharing and product flow coordination should be comprehensive. Coordinators are the information centers of the whole supply chain. They should have power to manage the supply chain. They should actively integrate the whole chain for maximum total profitability.

This paper is just an overview of coordination practice in textile‐apparel supply chains. The case sources are published articles, company web sites and some open seminars made by the case companies. The methodology should be more systematic.

Coordination in textile‐apparel supply chains is still an unresolved question both from the theoretic and practical points of view. This paper fills in some of the gaps.

The redesign of a product supply chain, in terms of production, cost and delivery capabilities can be effectively accomplished by mapping, analyzing and simulating the changes in the supply chain prior to implementation. The case being discussed pertains to the apparel industry in the USA. The beginning of 2005 marked the end of a 30‐year old quota on the apparel market in the USA. This has led many western apparel manufacturers to outsource their production to low‐labor cost countries. This in‐turn has led to increased customer lead‐times. This paper aims to discuss how the implementation of proper IT systems and supply chain measures can reduce lead‐times and also reduce total cost.

An integrated approach is utilized to model the impact of apparel outsourcing added to a US apparel producer supply chain by studying the process map, data analysis, and simulation of the supply chain using Visio, Excel and @Risk simulation software. Using Monte Carlo simulation, the hypotheses on responsiveness and relative costs were tested with and without the outsourcing feature in the US apparel producer supply chain.

The cost savings through outsourcing in the low‐cost labor countries in Asia for the US apparel producer supply chain can be huge and the lead‐time is quite substantial. Thus, outsourcing is not a viable solution for meeting short‐term market demands. However, for large seasonal orders, outsourcing could be an enormous cost‐saver. The lead‐time of the US apparel producer supply chain could be improved if certain controllable factors such as order processing could be made more efficient.

Recent studies by Acaccia, Conte, Maina and Michelini as well as the Leadership for European Apparel Production From Research along Original Guidelines (LEAPFROG, www.leapfrog‐eu.org/), were reviewed. However, no recent study that uses Monte Carlo simulation to measure the supply chain in the apparel market for the USA was traceable in the existing literature except one done by Naylor, Burdick and Sasser at Duke University in 1967. The process modeling of the US apparel producer supply chain with the outsourcing feature will be a useful decision analysis tool. With more data and better understanding of the industry, this simulation model can be easily expanded to obtain a more in depth understanding of any US apparel producer supply chain with an outsourcing capability. Even with making some realistic assumptions in the model, one can easily see the potential benefits of outsourcing. The study found that the customer lead‐time was averaging around 57 days at three‐fourths of the original cost with the minimum customer lead‐time being 41 days. Improved IT and logistics capabilities can minimize the variability recognized in major components of customer lead‐time, such as ocean freight transportation time, order processing time and manufacturing time.

The contribution of the research results from the apparel industry application, where simulation studies of this kind have recently not been executed for a US apparel manufacturer. It also showcases an innovative approach in analyzing outsourcing strategies for a US apparel producer supply chain. The study makes a business case that process improvement can be effectively accomplished with an integrated approach of using widely available inexpensive and user‐friendly computer‐based tools.

Focusing on the apparel industry, this study extends current knowledge on how additive manufacturing (AM) may impact global supply chains regarding structures of interorganizational governance and the industry's social-sustainability issues.

Following an exploratory research design, two consecutive Delphi studies, with three survey rounds each, were conducted to carve out future industry scenarios and assess AM's impact on supply chain governance and social sustainability.

The implementation of AM is posited to reinforce existing supply chain governance structures that are dominated by powerful apparel retailers. Retailers are expected to use the increased production speed and heightened market competition to enforce faster fashion cycles and lower purchasing prices, providing a grim outlook for future working conditions at the production stage.

Against the common narrative that technological progress increases societal well-being, this study finds that new digital technologies may, in fact, amplify rather than improve existing social-sustainability issues in contemporary production systems.

This article contributes to the nascent research field of AM's supply chain impact as one of the first empirical studies to analyze how AM introduction may impact on interorganizational governance while specifically addressing potential social-sustainability implications. The developed propositions relate to and extend the resource dependence and stakeholder perspectives on governance and social sustainability in supply chains. For managers, our results enrich the discussion about the potential use of AM beyond operational viability to include considerations on the wider implications for supply chains and the prevailing working conditions within them.

With the growth of unstructured data, opportunities to generate insights into supply chain risks in low cost countries (LCCs) are emerging. Sourcing risk has primarily focused on short-term mitigation. This paper aims to offer an approach that uses newsfeed data to assess regional supply base risk in LCC’s for the apparel sector, which managers can use to plan for future risk on a long-term planning horizon.

This paper demonstrates that the bulk of supplier risk assessments focus on short-term responses to disruptions in developed countries, revealing a gap in assessments of long-term risks for supply base expansion in LCCs. This paper develops an approach for predicting and planning for long-term supply base risk in LCC’s to address this shortfall. A machine-based learning algorithm is developed that uses the analysis of competing hypotheses heuristic to convert data from multiple news feeds into numerical risk scores and visual maps of supply chain risk. This paper demonstrates the approach by converting large amounts of unstructured data into two measures, risk impact and risk probability, leading to visualization of country-level supply base risks for a global apparel company.

This paper produced probability and impact scores for 23 distinct supply base risks across 10 countries in the apparel sector. The results suggest that the most significant long-term risks of supply disruption for apparel in LCC’s are human resource regulatory risks, workplace issues, inflation costs, safety violations and social welfare violations. The results suggest that apparel brands seeking suppliers in the regions of Cambodia, India, Bangladesh, Brazil and Vietnam should be aware of the significant risks in these regions that may require mitigative action.

This approach establishes a novel approach for objectively projecting future global sourcing risk, and yields visually mapped outcomes that can be applied in forecasting and planning for future risks when considering sourcing locations in LCC’s.

The issue affecting US textile/apparel companies in global business competition is to find suitable suppliers for their operations. The selection and evaluation of their global suppliers to meet the goal of having effective and efficient supply chain operations and strengthening their position in the market become critical for US textile/apparel manufacturers to maintain their competitiveness in today's market. Aims to develop an evaluation model.

The development of a simple, flexible, and easy to use evaluation model that includes the consideration of five main clusters to reflect the performance of a global supplier in a textile/apparel supply chain.

A case presented in this paper shows that the model provides textile/apparel companies with an easy way to evaluate their suppliers and make their selection of suppliers more efficient and effective. Most textile/apparel companies using this model can help them establish strategic alliance with global suppliers to reduce costs and increase competitiveness in the market.

Textile/apparel companies can use this model to find capable suppliers as their partners in the supply chain. With minor modifications, this model also can help companies in most industries for enhancing their supply chain operations with capable suppliers.

Provides a simple model that can help companies in many industries enhance their supply chain operations.

This paper aims to review the concept of supply chain management. The typical problems facing with textile and apparel supply chain are short product cycle for fashion articles, long production lead‐time and forecasting errors for fashion items. The Hong Kong textile and apparel supply chain faces additional problems of distance from customers in the US and European markets, long production lead‐times and minimum batch sizes for production, and, recently, elimination of quota restriction in the US market, all of which force them to improve efficiency and enhance competitiveness through supply chain management. Seeks also to provide a selective bibliography for industrial practitioners with sources which can help them develop their supply chain strategies for the fashion market in Hong Kong.

A range of recent published (1993‐2005) works, which aim to provide practical advice are critiqued to aid the individual practitioner to manage its supply chain strategies in Hong Kong. These sources are sorted into sections: supply chain management in Hong Kong, textile and apparel supply chain management in Hong Kong, and problems faced by small and medium‐sized enterprises for textile and apparel supply chain.

The differentiation of product demands into functional and innovative products helps the supply chain company to employ different supply chain strategies for different products, namely responsive supply chain strategy for innovative products and efficiency supply chain strategy for functional products. These two supply chain strategies are focused on the downstream supply chain aiming at shortening the time to research the market and also to reduce the stock levels in the retailing industry.

This is not an exhaustive list and cases are mainly from the Hong Kong textile and apparel industry, which perhaps limits its usefulness elsewhere.

A very useful source of information and impartial advice for industrial practitioners to develop their own supply chain strategies for the fashion market in Hong Kong. Especially recently with the elimination of quota to the US market, the management of the supply chain is critical.

This paper fulfils an identified information/resources need and offers practical help to industrial practitioners on then supply chain management for the Hong Kong textile and apparel industry.

The purpose of this paper is to develop a supply chain management framework covering different business environment levels, that is, macro, micro and supply chain levels, and also to evaluate Haiti vs China as apparel-sourcing partners by assessing macro-level, supply-chain-level and micro-level environments from the US apparel buyers’ perspective.

In order to achieve this, first, a framework covering these business environment levels was developed and tested through path analysis. Prior to path analysis exploratory factor analysis was conducted to verify proposed factor structures. Data were collected using face-to-face interviews with a sample of 41 apparel companies that operate in the USA and source from China and Haiti.

This study found that both supply-chain-level and micro-level environments positively impact global supply chain performance. Supply-chain-level also has a direct effect on micro-level environment and macro-level environment has only a direct effect on supply-chain-level environment. Interviews and discussions based on this framework indicate that Haiti’s proximity to the USA, price, low-wage rates, small-order sourcing opportunities and good basic sewing skills are among Haiti’s strengths.

This study is unique in developing a multi-level environment framework for supply chain management and in comparing Haiti and China in terms of their supply chains to evaluate the potential competitiveness of Haitian apparel supply chain.