scholarly journals Traceability in Textile and Clothing Supply Chains: Classifying Implementation Factors and Information Sets via Delphi Study

2019 ◽  
Vol 11 (6) ◽  
pp. 1698 ◽  
Author(s):  
Tarun Agrawal ◽  
Rudrajeet Pal

The purpose of this study is twofold. First, to explore and classify factors influencing traceability implementation, and second, to cluster essential traceability-related information that demands recording and sharing with businesses and customers, in the context of the textile and clothing supply chain. A Delphi study is conducted with 23 experts (including research practitioners and industry experts) to explore, validate, and classify traceability factors and related information using distribution analyses and hierarchal clustering. As a result, 14 factors and 19 information sets are identified and classified with a moderately high agreement among the experts. Among these, risk management, product authentication, and visibility are the highest ranked and the most important factors influencing traceability implementation in the textile and clothing supply chain. While origin, composition, and sustainability-related information are crucial for sharing with customers, the information vital to businesses includes manufacturer/supplier details, product specifications, and composition. It is noteworthy that this research is among the few that classifies traceability factors and information through expert perspectives, and it creates decisive knowledge of traceability for the textile and clothing supply chain. It further provides insights on the extent to which this information can be shared among supply chain actors. Outcomes of this study can be helpful for the development of an information traceability framework. Policymakers can use the results to draft traceability guidelines/regulations, whilst top management can develop traceability-related strategies.

Author(s):  
Sicco Santema

In this paper we take a closer look at developments in supply management. The main change in this discipline seems to be (2011) that cooperation and risk management are taking over the classical silo based way of looking at business. Companies start to learn that transactions block the profits throughout the chain. Or, to put it the other way around, supply chain parties learn that sharing interests is earning much more money and that supply chains become ‘faster, cheaper and better’.


2020 ◽  
Vol 18 (3) ◽  
pp. 34-44 ◽  
Author(s):  
Tetiana Kolodizieva

The article explores theoretical and methodical aspects of managing dual relationships that arise between participants in logistic cooperation in the process of formation and functioning of supply chains. The use of a behavioral approach to defining supply chains has allowed identifying and justifying the priority role of behavioral factors that influence modern logistics entities and determine the effectiveness and long-term satisfaction with logistics cooperation. Given the literature summary, the study has classified types of cooperation in logistic activity and proved that among the behavioral factors influencing the of logistical cooperation efficiency, the trust is of particular importance, which remains a limitation, a bottleneck in the process of formation and development of dual relationships in logistics chains. It is proposed to introduce a generic indicator, namely the level of confidence in the supply chain to assess the social, economic and strategic aspects of logistics interaction. A methodological approach to assessing the level of trust in logistic cooperation was adjusted based on determining the composition of criteria that directly affect this indicator and using the expert survey of supply chain participants. The study proposes to use the confidence indicator to form and improve networks and supply chains, taking into account its value when constructing a generalized outsourcing model.


Author(s):  
Dimitrios Vlachos

As the practices of offshoring and outsourcing force the supply chain networks to keep on expanding geographically in the globalised environment, the logistics processes are becoming more exposed to risk and disruptions. Thus, modern supply chains seem to be more vulnerable than ever. It is clear that efficient logistics risk and security management emerges as an issue of pivotal importance in such competitive, demanding and stochastic environment and is thus vital for the viability and profitability of a company. In this context, this chapter focuses on a set of stochastic quantitative models that study the impact of one or more supply chain disruptions on optimal determination of single period inventory control policies. The purpose of this research is to provide a critical review of state-of-the-art methodologies to be used as a starting point for further research efforts.


2012 ◽  
Vol 12 (3) ◽  
pp. 243-260 ◽  
Author(s):  
Mark Wever ◽  
Nel Wognum ◽  
Jacques Trienekens ◽  
Onno Omta

The present study examines the management of transaction risks in supply chains. Risk management studies often ignore the wider supply chain context in which individual transactions take place. However, risk management strategies which are suitable to use when only a single transaction is considered may be inappropriate when other transactions in the supply chain are taken into account. This study addresses this issue by examining: (1) how risks arise as a result of interdependencies between the various transactions making up the supply chain; and (2) what types of contractual-based strategies actors can use to manage their risk exposure. To realize these aims, the study applies an extended Transaction Cost Economics (TCE) framework with a supply chain orientation. The framework illustrates how different types of interdependencies - pooled, sequential and reciprocal - expose companies to different sources of risk. Three strategies companies can use when facing barriers to risk minimization in sequentially interdependent supply chains are analyzed: risk transferring, risk altering and risk sharing. Examples from the agri-food sector are discussed to demonstrate the functioning of these strategies.


2015 ◽  
Vol 795 ◽  
pp. 47-52
Author(s):  
Mircea Constantin Duică ◽  
Anişoara Duică ◽  
Iwona Grabara

The intensified competition, the frequent change of the clients’ preferences and the globalization of the capital, product, service and information flows have turned the efficient product management into an essential factor for increasing competitiveness in production systems integrated in supply chains. In this context, industrial excellence can be obtained only by an efficient process piloting, using some performance measurement systems that permit a good substantiation of the decisions based on correct and reliable information, taking into account the risks specific to supply chains. The paper includes a review of the literature in the field of performance measurement for supply chains to understand the current practice and contributes to the development of the supply chain performance measurement framework using risk management, the case study method, a statistic quantitative data analysis and modern performance measurement techniques such as: balanced scorecard and supply chain operation reference.


2015 ◽  
Vol 20 (4) ◽  
pp. 455-470 ◽  
Author(s):  
Joakim Kembro ◽  
Kostas Selviaridis

Purpose – This paper aims to empirically explore demand-related information sharing in the extended supply chain. Design/methodology/approach – Through a single, embedded case design, a range of methods are used to collect data from companies representing three different supply chain tiers, including focal company, first-tier suppliers and first-tier customers. The collected data are analysed through the theoretical lens of interdependence. Findings – The findings indicate that the supply chain actors adapt information sharing to the pooled, serial or reciprocal type of interdependence. Information sharing is thus increased with key dyadic partners representing, for example, unique offerings and high market shares as percentage of total expenditure/sales. The study also unearths several barriers to information sharing beyond dyadic ties, including problems related to dis-aggregated, misinterpreted and/or incomplete information. Research limitations/implications – The study empirically contributes to the existing literature by exploring information sharing in the extended supply chain and by suggesting different approaches to information sharing depending on the type and intensity of interdependence between supply chain partners. Further, the paper contributes to the existing literature on barriers of information sharing in supply chains by identifying barriers specific to multi-tier information sharing. “Meta-information” (i.e. information about the shared information) is needed to overcome some of the barriers of sharing information in cases of weak, pooled interdependencies in the supply chain. Practical implications – Similar to previous empirical research, this exploratory study indicates that companies, in general, refrain from sharing information beyond dyadic ties. Supply chain managers would instead mostly focus on stronger, reciprocal interdependencies and emphasise dyadic information sharing. To further guide managers, a demand profiling framework considering market share and demand uncertainty is presented. It may be interesting to engage in multi-tier information sharing in particular cases where strong interdependence exists between three or more partners. Originality/value – This study contributes to existing research on information sharing in supply chains by empirically studying information sharing in an extended supply chain, applying interdependence theory as its analytical framework and unearthing several barriers that are specific to multi-tier information sharing.


2020 ◽  
Vol 13 (8) ◽  
pp. 173 ◽  
Author(s):  
May McMaster ◽  
Charlie Nettleton ◽  
Christeen Tom ◽  
Belanda Xu ◽  
Cheng Cao ◽  
...  

Through an international business risk management lens, the widespread and catalytic implications of the 2020 COVID-19 pandemic on the supply chains (SCs) of fashion multinational corporations (MNC) are analyzed to contribute to existing research on supply chain management (SCM). While a movement towards agile, networked supply chain models had been in consideration for many firms prior to the outbreak, the pandemic highlights issues inherent in supply chains that employ concentrated production. We examined the current state of fashion supply chains, risks that have arisen historically and recently, and existing risk mitigation methods. We found that while lean supply chain management is primarily favored for its cost and waste reduction advantages, the structure is limited by the lack of supply chain transparency that results as well as the increasing demand volatility observed even before the COVID-19 outbreak. Although this problem might exist in the agile supply chain, agile supply chains combat this by focusing on enhancing communication and buyer-supplier relationships to improve information exchange. However, this structure also entails an associated increase in inventory and inventory costs. The COVID-19 pandemic has caused supply and demand disruptions which have resonating effects on supply chain activities and management, indicating a need to build flexibility to mitigate epidemic and demand risks. To address this, several strategies that firms can adopt to control for such risks are outlined and key areas for further research are identified which consider parties both upstream and downstream of the fashion supply chain.


Author(s):  
Mohd. Nishat Faisal

Supply chain risk management (SCRM) is the process of risk mitigation in supply chains achieved through collaboration, coordination and application of risk management tools among the partners, to ensure continuity coupled with long-term profitability of the supply chain. Supply chain risks emanate from multiple sources and similarly risk mitigation in supply chains is dependent on several variables. The most difficult part of supply chain risk management is prioritizing risks and an understanding of the relationships among various types of risks and risk mitigation variables. Drawing from the standard framework, in this research a modified house of quality is developed to understand the relationships between various supply chain risks and risk mitigation variables. It helps to prioritize various risks and understand the current status of the supply chain and the deficient areas with regard to risk mitigation capabilities. The structured QFD process provides the supply chain managers a conceptual map that enables the improvement of planning and control of various risks that could impact a supply chain.


Author(s):  
Anisha Banu Dawood Gani ◽  
Yudi Fernando

The objective of this chapter is to discuss the concept and practices of cyber supply chains (CSC) in the manufacturing context. Technological advancements are drastically transforming the manufacturing industry, which in turn drives the need for a digitally integrated supply chain. While CSC has its share of benefits, it is also vulnerable to cyber threats. In order to mitigate the risks, comprehensive security measures must be undertaken in the areas of technology, organization, governance, and culture, and they must be integrated into the company's established risk management processes. To ensure a resilient CSC, all members of the supply chain network must play a role to protect their respective systems from potential breach.


Author(s):  
Merve Er Kara ◽  
Seniye Ümit Oktay Fırat

Sustainable Supply Chain Management has become one of the most important managerial trends nowadays. Companies can optimize their supply chains by integrating risk management and sustainability programs. This chapter explains sustainability and risk management concepts in supply chains and discusses the relationship between these two issues in a multidirectional way. Business Intelligence tools are addressed in terms of their role and importance in supporting the management of supply chains, their risks and sustainability. The aim of the chapter is to provide a background to better understand the link between supply chain risk management, sustainability and business intelligence.


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