Helena Carvalho

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.

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.

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.

Supply chain management ({SCM)} is crucial for increasing organisational effectiveness, enhancing competitiveness, customer service and profitability. Actually, the lean and green philosophies have been adopted in the {SCM} context, but nearly always separately and with little understanding of their influence on supply chain performance. Accordingly, this paper intends to propose a conceptual model that explores the relationships between lean and green practices and supply chain performance. A set of lean and green {SCM} practices and a performance measurement system are suggested. The proposed performance measures intend to evaluate the practices influence on operational, economic and environmental supply chain's performance.

Supply chains are facing numerous changes that are contributing to increasing their complexity and vulnerability to disturbances, therefore, to survive, supply chains must be resilient. The paper presents a supply chain simulation study for a real case concerned with the Portuguese automotive supply chain. The subset automotive supply chain involved in the case study is a three-echelon supply chain, composed by one automaker, two 1st-tier suppliers, two 2nd-tier suppliers, and one outsource entity. The purpose of the study is to evaluate alternative supply chain scenarios for improving supply chain resilience to a disturbance and understanding how mitigation strategies affect each supply chain entity performance. Two strategies widely used to mitigate disturbance negative effects on supply chains were considered and six scenarios were designed. The scenarios differ in terms of presence or absence of a disturbance in one hand and presence or absence of a mitigation strategy in other hand. To evaluate the scenarios designed, two performance measures were defined per supply chain entity, Lead Time Ratio and Total Cost.

Purpose - The main objective of this paper is to identify and rank a set of performance measures using the Interpretive Structural Modeling (ISM) approach to support the automotive supply chain performance evaluation.
Design/methodology/approach - The paper develops a framework to analyze the interactions among a suggested set of performance measures using the {ISM} approach. To identify the contextual relationships among the suggested measures, five experts from the automotive industry were consulted.
Findings - Using the {ISM} approach the performance measures were clustered attending to their driving and dependence power. Inventory level and lead time are the two performance measures at the bottom level of the hierarchy, implying higher driving power. Also, operational costs, business wastage, environmental costs, delivery time and customer satisfaction are identified as autonomous measures. This means that they are relatively disconnected from the other suggested performance measures. It is also observed that the cash-to-cash cycle is a weak driver but strongly dependent on the other performance measures.
Practical implications - The proposed approach gives managers a better understanding on mutual influences of performance measures (driving performance measures) and also those measures which are most influenced by others (dependent performance measures). Using {ISM} managers can get insight on the order and direction of complex relations among the suggested performance measures. This kind of information is strategic for managers could identify which performance measures they should concentrate on, and how they can manage the tradeoffs between them.
Originality/value - This paper highlights the deployment of {ISM} as a manager' decision support tool in the identification and ranking of a set of performance measures to make part of a supply chain performance measurement system.

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The Radio Frequency Identification (RFID) technology is a wireless technology that uses transmitted radio signals to tag, recognize, track and trace the movement of an item automatically. The study of this technology is actually considered a hot topic in all scientific areas and has been described as a major enabling technology for the automation of many processes. Although it is not a new technology it has only recently come to the awareness of the public and widely used in many sectors and particularly in the Healthcare. This paper aims to illustrate the deployment of RFID technology in Healthcare, more precisely in infant security systems. A case study about the experience of three hospitals and one RFID technology provider is presented to highlight the main architectural characteristics, functionality, and advantages associated to its deployment. After the case studies analysis it is possible to state that the infant security systems, using the RFID technology, are not so different among research case studies: they involve RFID tagging patients, they are easy to use not requiring an extensive training and also they are installed with an interface with others security systems.

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

In a global market, companies must deal with a high rate of changes in business environment. Most manufacturing systems fail to sustain productivity when process disturbances occur. Therefore, it is necessary to create resilient production systems with the ability to return, rapidly, to the initial stage or to an improved one. The parameters, variables and restrictions of the production system are inherently vagueness. This situation suggests that there are dependencies between relevant variables which are not possible to know with precision. The fuzzy logic theory has the ability to describe, in a quantitative and qualitative way, problems that involve vagueness and imprecision. This paper provides an overview for the use of fuzzy logic to establish resilient production systems. Fuzzy concepts are reviewed, in particular its applications to production systems, trying to classify related fuzzy parameters and vari-ables. In addition, the concept of resilient systems are reviewed and extended to production. Finally, it is proposed an approach to establish resilient production systems using the fuzzy set theory

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.

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.