Research Directions in Information Systems for Humanitarian Logistics

This article systematically reviews the literature on using IT (Information Technology) in humanitarian logistics focusing on disaster relief operations. We first discuss problems in humanitarian relief logistics. We then identify the stage and disaster type for each article as well as the article’s research methodology and research contribution. Finally, we identify potential future research directions

Sustainable strategies for SMEs from traditional, regional industries: The case of Messinian Region, Greece

Purpose – Research questions : Products embedded in a region (such as Products of Destinated Origin / PDOs) face significant obstacles to access remote markets, even to domestic ones, since there are a number of inherent difficulties in promoting and managing, in general, such products from the point of production to the market place. This paper addresses to central research questions: • how the sustainability issue relates to regional, traditional industries • what are the prerequisites for sustainability and the corresponding barriers posed to regional food chains • how sustainability relates to the performance of SMEs, operating in a traditional, regional industry • what are the advantages of marketing sustainable products • what region-based strategies could SMEs develop to transform the challenge of sustainability to opportunities ? Design/methodology/approach : Development of a conceptual constructive action framework with reference to regional conditions. Focus on SMEs that produce and/or trade products in the region of Messinia, Greece . Messinian region is well-known for traditional products such as olive oil, olives, raisins, figs, etc. A survey study includes a questionnaire that aims at measuring sustainability, market access, and supply chain performance. Direct contact has been carried out with a number of managing directors of SMEs via semi- structured interviews. Using case study protocol there will be a combination of case analysis and cross-case analysis. Expected Findings : Results will provide insights on how SMEs strategies can achieve sustainability requirements. Originality / Value : Improving know-how by unique focus on the sustainability of regional, traditional products and its effects upon supply chain performance and market access. This study has practical implications for regional-based SMEs in the design of strategies to produce sustainable competitive advantage. Moreover, sustainability has significant direct social, economic and environmental implications

Strategic and Tactical Crude Oil Supply Chain: Mathematical Programming Models

Crude oil industry very fast became a strategic industry. Then, optimization of the Crude Oil Supply Chain (COSC) models has created new challenges. This fact motivated me to study the COSC mathematical programming models. We start with a systematic literature review to identify promising avenues. Afterwards, we elaborate three concert models to fill identified gaps in the COSC context, which are (i) joint venture formation, (ii) integrated upstream, and (iii) environmentally conscious design

An application of hybrid life cycle assessment as a decision support framework for green supply chains

In an effort to achieve sustainable operations, green supply chain management has become an important area for firms to concentrate on due to its inherent involvement with all the processes that provide foundations to successful business. Modelling methodologies of product supply chain environmental assessment are usually guided by the principles of life cycle assessment (LCA). However, a review of the extant literature suggests that LCA techniques suffer from a wide range of limitations that prevent a wider application in real-world contexts; hence, they need to be incorporated within decision support frameworks to aid environmental sustainability strategies. Thus, this paper contributes in understanding and overcoming the dichotomy between LCA model development and the emerging practical implementation to inform carbon emissions mitigation strategies within supply chains. Therefore, the paper provides both theoretical insights and a practical application to inform the process of adopting a decision support framework based on a LCA methodology in a real-world scenario. The supply chain of a product from the steel industry is considered to evaluate its environmental impact and carbon ‘hotspots’. The study helps understanding how operational strategies geared towards environmental sustainability can be informed using knowledge and information generated from supply chain environmental assessments, and for highlighting inherent challenges in this process

Review of mathematical models for production planning under uncertainty due to lack of homogeneity: proposal of a conceptual model

[EN] Lack of homogeneity in the product (LHP) appears in some production processes that confer heterogeneity in the characteristics of the products obtained. Supply chains with this issue have to classify the product in different homogeneous subsets, whose quantity is uncertain during the production planning process. This paper proposes a generic framework for reviewing in a unified way the literature about production planning models dealing with LHP uncertainty. This analysis allows the identification of similarities among sectors to transfer solutions between them and gaps existing in the literature for further research. The results of the review show: (1) sectors affected by LHP inherent uncertainty, (2) the inherent LHP uncertainty types modelled, and (3) the approaches for modelling LHP uncertainty most widely employed. Finally, we suggest a conceptual model reflecting the aspects to be considered when modelling the production planning in sectors with LHP in an uncertain environment.This research was initiated within the framework of the project funded by the Ministerio de Economía y Competitividad [Ref. DPI2011-23597] entitled ‘Methods and models for operations planning and order management in supply chains characterised by uncertainty in production due to the lack of product uniformity’ (PLANGES-FHP) already finished. After, the project leading to this application has received funding from the European Union’s research and innovation programme under the H2020 Marie Skłodowska-Curie Actions with the grant agreement No 691249, Project entitled ’Enhancing and implementing Knowledge based ICT solutions within high Riskand Uncertain Conditions for Agriculture Production Systems’ (RUC-APS).Mundi, I.; Alemany Díaz, MDM.; Poler, R.; Fuertes-Miquel, VS. (2019). 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Supply Chain Management Concepts Applied in the Oil & Gas Industry – A review of literature

The recent trends in the oil gas has shown volatility in this market and the low oil prices has influenced this industry in a big way. The researchers and practitioners in this field have realized the importance of efficient Supply Chain Management (SCM) to have competitive edge in this industry. The dynamic nature of the supply as well as the demand has contributed to the unique challenges in managing the supply chain in this sector. The main objective of this study is to understand the application of different SCM concepts in the Oil and Gas industry. The study involved the systematic literature review of the various articles published by prominent researchers in this field in reputed journals and databases like Scopus, Web of Science (WOS). The findings have identified 52 different models of SCM which are used in the oil gas industry. This study is a contribution to the body of knowledge regarding the use of SCM concepts in oil and gas industry. Future studies can use this as a reference to understand the existing SCM concept in this industry and base their empirical study the suitability and influence of these concepts on the efficient supply chain management in Oil gas industry

Social, environmental and economic impacts of alternative energy and fuel supply chains

Energy supply nowadays, being a vital element of a country’s development, has to independently meet diverse, sustainability criteria, be it economic, environmental and social. The main goal of the present research work is to present a methodological framework for the evaluation of alternative energy and fuel Supply Chains (SCs), consisting of a broad topology (representation) suggested, encompassing all the well-known energy and fuel SCs, under a unified scheme, a set of performance measures and indices as well as mathematical model development, formulated as Multi-objective Linear Programming with the extension of incorporating binary decisions as well (Multi-objective Mixed Integer-Linear programming). Basic characteristics of the current modelling approach include the adaptability of the model to be applied at different levels of energy SCs decisions, under different time frames and for multiple stakeholders. Model evaluation is carried for a set of Greek islands, located in the Aegean Archipelagos, examining both the existing energy supply options as well future, more sustainable Energy Supply Chains (ESCs) configurations. Results of the specific research work reveal the social and environmental costs which are underestimated under the traditional energy supply options' evaluation, as well as the benefits that may be produced from renewable energy based applications in terms of social security and employment

A proposed framework for supply chain analytics using customer data

Thesis (PhD (Business Management))--University of Pretoria, 2022.The COVID-19 pandemic and recent geopolitical events have called for a need to re-evaluate methodologies for Supply Chain Risk management. Significant investment in supply chain technology has resulted in data being generated throughout the value chain. Customer data, specifically, is of interest in order to establish customer-centricity and an enhanced customer journey. However, the transformation of this data to insight is not obvious for some organisations. Forecasting models are typically used to inform decision-making, mitigate risks and enlighten policymakers. This thesis aims to address this challenge by proposing a set of capabilities that will enhance the integration of the supply chain network to its customer data. Given this context, two methodologies were used to address the research problem; (i) multinational petrochemicals company was considered for our case study and a web-based survey was distributed among key stakeholders at their head offices in South Africa. A structured equation model (SEM) was constructed to empirically test the proposed relationships among the constructs, specifically: People, Process and Technology capabilities; (ii) The macro-economic factors that drive customer demand also considered. Increasing crude oil prices have increased logistics costs and have incited the deglobalization of supply chain operations. A novel petroleum forecasting model is also proposed, particularly focusing on the forecasting on South Africa’s petrol and diesel consumptions. The model uses indices for Brent crude oil price (ZAR), Gross Domestic Product (GDP), Rand to Dollar exchange rate, Consumer Confidence Index (CCI) and Business Confidence Index (BCI) data as input data. Overall, this study suggests that in order to effectively serve their customers, organisations need to establish a culture of customer centricity that is underpinned by appropriate supply chain analytics techniques. The predictive model further highlights the need to establish the relationship between the organisation’s supply chain and micro and macro-economic drivers.Business ManagementPhD (Business Management)Unrestricte