Helena Carvalho

The main objective of this exploratory paper is to investigate the relationships between green practices of supply chain management and supply chain performance. This relationship is investigated in the context of the automotive industry. Five research propositions are suggested and tested with empirical data derived from five case studies taken from the Portuguese automotive supply chain. The data analysis identifies the most important green practices considered by managers, as well as the performance measures that are most appropriate and most widely used as means to evaluate the influence of green practices on supply chain performance. A conceptual model was derived from the data analysis and it can be used to assess the influence of green practices on supply chain performance. This model provides evidence as to which green practices have positive effects on quality, customer satisfaction and efficiency. It also identifies the practices which have negative effects on supply chain performance.

Supply chains in an attempt to be more competitive, are adopting new management paradigm. Among these paradigms there are four that deserve particular mention because of their importance to better {SC} performance: lean, agile, resilient and green. The main objective of this paper is to propose a set of supply chain management practices to become the {SC} more lean, agile, resilient and green, which were named {LARG} practices, and to suggest a conceptual model that makes possible to analyze the influence of these {LARG} practices on manufacturing supply chains performance. Also, a set of operational, economic and environmental performance measures are suggested.

This paper proposes a composite index, called the AR Index, to assess the agility and resilience of automotive companies and their respective supply chains. As a first step, a model to support the AR Index is developed. Next, an AR Index for the automotive supply chain is suggested using a set of relevant Agile and Resilient supply chain practices. The Delphi technique was used to obtain a series of weights for those practices. Finally a case study approach is used to illustrate the application of the AR Index. This study represents an original approach that suggests a unique composite indicator for the Agile and Resilient paradigms in the context of automotive supply chains

The main objective of this paper is to propose an index to assess the agility and leanness of individual companies and the corresponding supply chain. The index is named Agilean and is obtained from a set of Agile and Lean supply chain practices integrated in an assessment model. The Delphi technique is used to develop a series of weighted Agile and Lean {SCM} practices and also the importance of paradigms through experts in automotive research topics. As a way to illustrate the application of the index and find out if it returns return meaningful values, a case study is presented. The case study results confirm the quite easy applicability of the suggested Agilean index in a supply chain real-world setting. This index makes it possible to assess the companies and corresponding supply chain Agile and Lean behaviour, which is translated into an index score to compare competing companies and supply chains.

Purpose – This paper aims to explore the divergences and commitments between the lean, agile, resilient and green paradigms while investigating the effect of paradigms' practices within supply chain attributes.
Design/methodology/approach – A conceptual model with lean, agile, resilient and green practices and supply chain management attributes is proposed. Causal diagrams were used to represent the relationships between paradigm practices and supply chain attributes. The four diagrams were aggregated to build the conceptual model.
Findings – The conceptual model allows for the identification of synergies and divergences resulting from the paradigms practices implementation. The synergies between paradigms are related to “information frequency” and “integration level” increasing as well as reduction of “production lead time” and “transportation lead time”. However, other supply chain attributes such as “capacity surplus”, “inventory level” and “replenishment frequency” are affected in opposite directions by some paradigms creating divergences.
Research limitations/implications – The model relationships were established using an anecdotal approach derived from the literature review, reflecting only a partial view of supply chain dynamics. More research related to other supply chain attributes and/or paradigm practices, and validation of the proposed relationships is suggested.
Practical implications – The proposed model can be the basis for further research in lean, agile, resilient and green paradigms, contributing to a more sustainable and competitive lean supply chain with the necessary agility toward a quick response, resiliency to disruptions, and harmonization with the ecologic and environmental aspects. Originality/value – To the authors' knowledge this paper is the first to provide an understanding about the tradeoffs among lean, agile, resilient and green supply chain paradigms.

The purpose of this paper is to establish links between supply chain disturbances and corresponding strategies of resilience to counter them. To this end, an inductive research approach is used, examining a sample of 38 cases. Secondary data from the cases is used to identify disturbances which affected the corresponding supply chains and the resilience strategies used by managers. The empirical evidences shows that the negative effects of supply chain disturbances can be categorised into a number of supply chain failure modes. In addition, a set of resilience strategies was identified that could be used to overcome those failure modes. A conceptual model, with links between supply chain disturbances, failures and resilience strategies, is proposed. The limitations of this research result from the use of secondary data sources. The findings are only valid for the selected case studies and, consequently, may not be applicable in other scenarios. Future research should focus on detailed case studies that investigate cross-functional applications across the organisation and the supply chain.

Logistics performance can be affected by the presence of uncertainties in the decision making process. To reduce decision making uncertainties, a topology of sources of supply chain ({SC)} uncertainty is proposed, in order to identify different types of uncertainty. A conceptual framework is developed for the analysis of decision making uncertainty sources in {SC’s}, providing the basis for the design and selection of improved {SC} scenarios. A case study is presented to illustrate the potential of simulation techniques in modeling scenarios for the Supply Chain: a set of performance measures is proposed, and results are obtained based on a predetermined selection criterion.

Supply chains (SCs) may experience instability induced by disturbances such as extreme climate conditions or accidents. These events can cause severe negative effects on SCs, jeopardising the on-time delivery of products and services to customers. This paper proposes a mapping framework to improve SC resilience to such events, avoiding possible failure modes. The proposed mapping framework allows identification of the current SC operation and possible transition states, together with points of vulnerability. An illustrative example of the framework applied to a real-life wine SC is presented.

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The main objective of this paper is to propose a conceptual model about the influence of lean, agile, resilient, and green ({LARG)} practices on supply chain operational, economic and environmental performance. This model is based on the literature review about the four supply chain management paradigms and also performance measurement systems. This paper contributes to the literature by introducing a new model to improve the leanness, agility, resilience, and greenness of manufacturing supply chains. Among the suggested {LARG} practices, the ones influencing more the supply chain performance are the just in time and also the supplier relationships. Also the supply chain performance measures with more {LARG} practices influencing them are the inventory levels and the time, that is, the supply chain’s operational performance is the most affected by the simultaneous paradigms deployment in the supply chain.

Supply chains ({SC)} in an attempt to be more competitive, are adopting new management paradigm. Among these paradigms there are four that deserve particular mention because of their importance to better {SC} performance: lean, agile, resilient and green. The main objective of this paper is to propose a conceptual model for a lean, agile, resilience and green {SC}, with the purpose of improving their operational, economic and environmental performance. In this attempt a set of {SC} management practices, which were named {LARG} practices, and several performance measures are suggested. This model is based in the literature review about the four {SC} management paradigms and also {SC} performance measurement. Among the suggested {LARG} practices the ones influencing more the {SC} performance are the just in time and also the supplier relationships. Also the {SC} performance measures with more {LARG} practices influencing them are the inventory levels and the time, that is, the {SC's} operational performance is the most affected.

Purpose –This paper aims to propose a resilience index to assess the company ability to avoid and minimize the negative effects of supply chain disturbances.
Design/methodology/approach – An inductive research approach was used to develop a resilience assessment model. In a first stage, to collect empirical data, an exploratory case study was performed in seven companies’ belong to different positions in the Portuguese automotive supply chain. Next, a resilience index was derived from the case study main findings. In a final stage, the index was then tested using a case study approach in the automotive supply chain.
Findings – It was found that managers do not associate supply chain disturbances to a particular type of events, but with the negative effects that events provoke. The results also suggest that the resilience strategies they used are dependent on the type of supply chain disturbances negative effects. These empirical findings were used to develop a supply chain resilience assessment model and two resilience indexes: resilience index of “on time delivery” to “capacity shortage” and resilience index of “on time delivery” to “materials shortage”.
Research limitations/implications – This paper has the limitations common to all case studies, such as the subjectivity of the analysis and results generalization. Since only the automotive sector was studied, the findings are not universally applicable across different industry sectors in various countries.
Originality/value – The study contributes to the existing literature by empirically investigating the main effects of supply chain disturbances and how companies can increase supply chain resilience. It also suggests a way to evaluate companies’ resilience after a disturbance occurrence and identifies a set of supply chain state variables to improve supply chain resilience.

This paper explores the designing principles to create resilient Supply Chains ({SC’s)} with the ability to return, rapidly, to the initial stage or to an improved one after a disturbance occurrence. {SC} disturbances and failure modes are identified and discussed. The concept of {SC} resilience is defined and explored; a conceptual {SC} Resilience Index and a {SC} Resilience Indicator are proposed. A framework for the design of resilient {SC’s} is introduced, identifying main {SC} characteristic that can be modified to increase {SC} resilience and to mitigate its vulnerability