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Susana Relvas

Bio: Susana Relvas is an academic researcher from Instituto Superior Técnico. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 18, co-authored 79 publications receiving 1453 citations. Previous affiliations of Susana Relvas include University of Lisbon & Chartered Institute of Management Accountants.


Papers
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Journal ArticleDOI
TL;DR: A mixed integer linear programming (MILP) formulation is developed for the design and planning of supply chains with reverse flows while considering simultaneously production, distribution and reverse logistics activities and its applicability is demonstrated.

224 citations

Journal ArticleDOI
TL;DR: A design and planning model that integrates demand uncertainty is applied to five supply chain structures that are submitted to different types of disruptions, resulting in the incorporation of two sources of uncertainty.
Abstract: The design and planning of resilient supply chains is a major challenge due to the increasing complexity of these systems that operate in a global market and therefore are more exposed to disruptions. In the present work a design and planning model that integrates demand uncertainty is applied to five supply chain structures that are submitted to different types of disruptions. Disruptions are modelled in a probabilistic manner, resulting in the incorporation of two sources of uncertainty. Eleven indicators are considered to assess the supply chains’ resilience, which comprise network design, centralization and operational indicators. The goal is to provide managers what are expected operational impacts (measured by the operational indicators) by assessing the behavior of network and centralization indicators and their known resilience behaviors from the literature. A case study of a European supply chain is used to illustrate the methodology and a discussion on the results obtained is presented in order to conclude which main characteristics a manager should consider when designing and planning resilient supply chains.

164 citations

Journal ArticleDOI
TL;DR: In this paper, a mixed-integer linear programming (MILP) approach is used to model the problem of oil derivatives pipeline transportation scheduling and supply management, and an extension is presented to account for a settling period for each new lot that arrives at the distribution center.
Abstract: Within the oil supply chain, although refinery operations are extensively studied, distribution center operations are not being explored to their full potential. In this paper, these types of operations are studied. A mixed-integer linear programming (MILP) approach is used to model the problem of oil derivatives pipeline transportation scheduling and supply management. The objective of the model is to attain a high level of operation, satisfying clients and accounting for distribution center restrictions and compulsory tasks. First, a base model is developed, which accounts for product transportation, inventory management, and daily client satisfaction. Later, an extension is presented to account for a settling period for each new lot that arrives at the distribution center. A pumping schedule, including the product sequence, lot volume, and timing issues, is obtained. Also, the inventory management is performed while accounting for daily clients requests and quality control tasks. A continuous represent...

129 citations

Journal ArticleDOI
TL;DR: A comparative analysis with a recent work by Barlas and Gunduz is performed, showing that the adoption of the proposed performance measurement system can help academics and practitioners to better understand, study and avoid the bullwhip effect.
Abstract: A bullwhip measurement system based on a two-criterion assessment—‘internal process efficiency’ and ‘customer service level’—is developed in this paper. The framework is designed to assess both individual (single member) and systemic (whole supply chain) performances. Data collection and calculation methods, update and monitoring mechanisms, as well as related procedures for each metric used, are detailed. A comparative analysis with a recent work by Barlas and Gunduz is performed, showing that the adoption of the proposed performance measurement system can help academics and practitioners to better understand, study and avoid the bullwhip effect. Such analysis also provides evidence on the relevance of considering when analysing the bullwhip effect in supply chains, the ‘customer importance’ aspect that is often forgotten in the published literature.

76 citations

Journal ArticleDOI
TL;DR: Important managerial insights can be extracted from this analysis, such as the role of ‘benefit-sharing’ strategies in order to guarantee the advantage of investments in connectivity technologies.

71 citations


Cited by
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01 Feb 2016

1,970 citations

Journal ArticleDOI
TL;DR: This paper presents a review of recent research articles related to defining and quantifying resilience in various disciplines, with a focus on engineering systems and provides a classification scheme to the approaches, focusing on qualitative and quantitative approaches and their subcategories.

1,072 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a literature survey to review the literature on enterprise and supply chain resilience and provide a platform for researchers and practitioners trying to identify the existing state of the work, gaps in current research, and future directions on the topic.

604 citations

Journal ArticleDOI
TL;DR: This paper conceptualizes and comprehensively presents a systematic review of the recent literature on quantitative modeling the SCR while distinctively pertaining it to the original concept of resilience capacity.
Abstract: Supply chain resilience (SCR) manifests when the network is capable to withstand, adapt, and recover from disruptions to meet customer demand and ensure performance. This paper conceptualizes and comprehensively presents a systematic review of the recent literature on quantitative modeling the SCR while distinctively pertaining it to the original concept of resilience capacity. Decision-makers and researchers can benefit from our survey since it introduces a structured analysis and recommendations as to which quantitative methods can be used at different levels of capacity resilience. Finally, the gaps and limitations of existing SCR literature are identified and future research opportunities are suggested.

554 citations

Journal ArticleDOI
TL;DR: A comprehensive review of studies in the fields of SCND and reverse logistics network design under uncertainty and existing optimization techniques for dealing with uncertainty such as recourse-based stochastic programming, risk-averse stochastics, robust optimization, and fuzzy mathematical programming are explored.

442 citations