Helena Carvalho

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This paper proposes a model for management of supply chain resilience. To this end the structured content analysis of media news is used to analyze a sample constituted by sixty two documents containing evidences of seventy seven companies that were affected by the Japan 2011 earthquake. The sample provides evidences that companies failed to sustain their operations mainly because capacity shortages and material shortages. Also provides empirical evidence of twelve resilience practices to reduce the disturbance severity and the recovery time. Based on these findings four propositions were made and aggregated to propose a model for supply chain resilience management.

This paper is a review over a variety of events which lead to disruption conditions in supply chains and identifies correspondent resilient strategies for each condition. The paper objective is to make a link between the problems created by events and strategies that managers can use to avoid or mitigate the negative aspects of those problems and improve post- event recovery. To attain the paper objectives it was use archived media news to collect empirical data about disturbances (events), their negative effects (problems), and resilience strategies. In the data collection phase, the aim was to keep diversities and be comprehensive. Using empirical evidences from the sample is developed a graph to show the links between supply chain disturbances, problems and resilience. This research provides supply chain managers with some alternative strategies to opt for the best available decision, improving the post-event management process.

In this paper, a research project intituled {“Supply} chain management: design for resilient systems” is presented. The project aim is to develop a Management Support System prototype to help managers to react quickly and efficiently to the effects of disruptions that can occur in supply chain. The research project is presented; including the current state of the art in Supply Chain disruptions, the research project objectives and main tasks. Preliminary research findings are presented and discussed.

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

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.

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