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The aim of this research was to call attention to the implementation of failure mode and effects analysis (FMEA) in a collaborative environment, the issues occurred in the implementation process, and a tool that can be used by all parties in a collaborative environment for FMEA process.

The discussion includes the procedure of an integrated FMEA approach, how to implement the procedure in a supply chain, and the common problems occurred in its implementation in automotive industry under a collaborative environment.

The research provided an example of inconsistency in the ranking of severity, occurrence, and detection to show that the inconsistency may delay FMEA implementation in a supply chain.

This study offered guidelines for manufacturing industry in correcting the problems in FMEA applications, so companies can adopt their FMEA process into a collaborative supply chain environment. This paper also demonstrated a Microsoft EXCEL‐based tool that can ease the FMEA process in a collaborative environment for determining sampling size, reliability and confidence level for tests in design verification and control plan as a part of integrated FMEA process.

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.

To show that handling warranty returns is essential in a supply chain for product/process improvement and that the major step in resolving warranty return problems is to correctly classify the returned parts and identify the problem(s).

Demonstrates two classification processes that separate available warranty returned parts into correct categories.

The result of these two processes provides pertinent parties in the supply chain more accurate warranty failure information, so the companies involved can precisely pin‐point the source of the failure cause in the products and improve the product's design and manufacturing. Meanwhile, it also resolves potential conflicts in a supply chain and assigns responsibility to the right party to cover incurred warranty repair cost. Its applications can enhance quality and reliability management in a supply chain and streamline the reverse logistics operations in the chain.

This paper offers companies an effective procedure in reducing wrongly classified warranty returns and makes root cause analysis of warranty returns more efficient.

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 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.

Opportunistic maintenance (OM) policy is a prospective maintenance approach that instigates for a more effective and optimized system. The purpose of this paper is to provide the steps and methods used in model development processes for the application of the OM policy.

Dubbed as opportunistic principle toward optimal maintenance system (OPTOMS) for OM policy toward optimal maintenance system, the model is devised as a decision support system model and contains five phases. The motivation and focus of the model resolve around the need for a practical framework or model of maintenance policy for the application in an industry. In this paper, the OPTOMS model was verified and validated to ensure that the model is applicable in the industry and robust as a support system in decision making for the optimal maintenance system.

From the verification steps conducted in a case study company, it was found that the developed model incorporated simple but practical tools like check sheet, failure mode and effect analysis (FMEA), control chart that has been commonly used in the industry.

This paper provides the general explanations of the developed model and tools used for each phase in implementing OM to achieve an optimal maintenance system. Based on a case study conducted in a semiconductor company, the OPTOMS model can align and prepare the company in increasing machine reliability by reducing machine downtime.

The novelty of this paper is based on the in-depth discussion of all phases and steps in the model that emphasize on how the model will become practical theories in conducting an OM policy in a company. The proposed methods and tools for data collection and analysis are practical and commonly used in the industry. The framework is designed for practical application in the industry. The users would be from the Maintenance and Production Department.

The purpose of this paper is to propose a novel integrated approach using analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods for evaluation and prioritization of appropriate manufacturing flexibility type required in the face of multiple environmental uncertainties.

Using a case study of an Indian fashion apparel firm, the study demonstrates the application of the proposed integrated framework for evaluation and prioritization of manufacturing flexibility. The study uses AHP method to determine importance weight of environmental uncertainty criteria and subcriteria and then employs TOPSIS method to determine the final ranking of manufacturing flexibility types required to cope up with these uncertainties.

The findings of the case suggest that the proposed integrated approach is feasible and practically implementable for manufacturing flexibility assessment.

AHP has been extensively studied and used, but the major limitation of this proposed approach is the involvement of large number of pairwise comparisons leading to difficulty in maintaining consistency in pairwise comparisons.

The proposed approach can work as a benchmarking tool to practitioners in evaluating and prioritizing manufacturing flexibility alternatives and to suggest strategic allocation of resource by prioritizing different manufacturing flexibilities types.

Unlike conventional approaches, the study provides meaningful knowledge to decision makers by demonstrating a simple, flexible, and efficient method to evaluate and rank the appropriate manufacturing flexibility types.

In the era of market turbulence, sourcing specialists consistently face challenges to keep the availability of the material efficiently and effectively without any disruption. Sourcing strategies and planning have a huge impact on procurement performance. The purpose of this paper is to examine the relationships among different sourcing strategies and supply risk management and performance and additionally, the role of procurement practices in different strategic settings.

This is empirical research that collected data gathered from 223 procurement specialists working in various manufacturing firms through a structured questionnaire. Valid data is then analyzed through the structure equation modeling technique for hypotheses testing.

The findings of this study reveal that supplier development is a partial complementary mediator between multiple supplier strategy and supply-side risk management. While in a volatile business environment, strategic supplier strategy has a significant negative impact on supply-side risk management, and in this case supplier development acts as a competing partial mediator between the two. Contract management has resulted in an important mechanism to be deployed in a strategic sourcing strategy. It is also shown that supplier risk management is also associated with improved supply management performance.

This paper establishes an explanation of theoretical and practical understanding of sourcing strategies and empirically shows that supplier development is the appropriate mechanism to deal with supply-side risk management, which in turn positively impacts on supplier management performance.

This study contributes to supply chain risk management literature, especially in the context of strategic risk management and explains how a strategic decision can impact supply risk management. This provides a piece of empirical evidence regarding the use of well-established procurement practices to improve supply performance.

The purpose of this paper is to present the results of a success story involving the extending of lean manufacturing practices between a focal firm and its supplier, both located in Brazil, thereby configuring a case of excellence.

An in-depth case study was conducted involving two companies: Company A, focal, leader in its segment, located in Brazil; and Company B, Company A's supplier, also located in Brazil.

Results indicate there are several mechanisms for extending lean manufacturing practices in the supply chain, such as workshops, training, and integrated teams. These mechanisms are shown and guidelines are also introduced for companies seeking to successfully extend lean manufacturing practices.

An original use of define, measure, analyze, improve, control for structuring the extending of lean manufacturing practices to suppliers and, consequently, the importance of the lean six-sigma relationship in this context. Furthermore, the guidelines introduced serve as a benchmark for other companies interested in the topic.

The aim of this research is to determine the importance and impact of project-based learning (PBL) on students' knowledge in Lean and Six Sigma courses where practical application of theoretical knowledge is necessary.

Students teams were given hands-on collaborative projects conducted with local companies. After the completion of the project, a student evaluation survey was conducted and the responses were analysed in two different phases. The first phase consisted of collecting responses from the Lean and Six Sigma courses; observing the impact of the semester project on students' knowledge based on the response percentages. The second phase analyses the responses from both the Lean and Six Sigma courses, by performing a Fisher's exact test to examine how similar the students received knowledge from the use of the semester project.

Results showed that the inclusion of the semester project in the courses had a positive impact on the students' knowledge in learning course concepts and the students were able to apply theoretical knowledge in solving real-world problems. It is also observed that the response patterns are different in most of the aspects between both the courses.

This research evaluates student learning with statistical tests and is limited only for classroom teaching techniques. Further, this research states that application-oriented courses should be accompanied by projects as it helps in better understanding the course deliverables for the students.

Research evaluating the impact of PBL on students' knowledge in Lean and Six Sigma courses does not currently exist. Statistical analysis of survey responses from both the Lean and Six Sigma courses was performed using a χ2 test of independence to examine how similar the students received knowledge from the use of the semester project.