Supply chain business intelligence: model proposal and implementation to support the online sales supply chain end to end operation of a portuguese electronics retail company

Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceIn today’s highly competitive business environment, the adoption of Supply Chain Management is seen as an advantage. It provides not only effective integration, but also cooperation within the supply chain. However, in order to achieve further integration, other practices are needed. With growing volumes of data, businesses are required to ensure its appropriate flow, integration and analysis. This project, named “Supply Chain Business Intelligence ‐ Model proposal and implementation to support the online sales supply chain end to end operation of a Portuguese electronics retail company” had as its main goal the development of a conceptual model of a Business Intelligence system to address the needs of an online sales supply chain end to end operation. The proposed model should not focus on a specific company. Instead, it should provide a solution for other similar problems. The project starts with the definition of the problem, objectives and methodology. It is then followed by the literature review, which consists of a thorough research to identify best practices and previous works in the literature that dealt with similar problems. The research focuses on three main topics: Supply Chain Management, Internet Retail Industry and Business Intelligence. A conceptual model is then developed, which consists of four main steps: definition of the overall requirements, metrics, data mart model and dashboards. For the data mart model, it is important to identify the business process, the appropriate granularity and respective dimensions and fact tables. It is then followed by a case study, which consists in the implementation of the model to solve Company X’s problem. As outputs of the project, both data mart and dashboards are considered, since they are part of the artifact needed to achieve the business requirements. Finally, a discussion and evaluation of the results is conducted. Even though the implementation part of the project presented some challenges, the final solution still showed improvements for Company X and proved to be appropriate for the provided business requirements. Limitations and possible aspects of improvements are presented in the last chapter of the project

Learning from incidents: A supply chain management perspective in military environments

Supply chain management (SCM) represents a crucial role in the military sector to ensure operation sustainability. Starting from the NATO handbook for military organizational learning, this paper aims at investigating the link between technical inconveniences and sustainable supply chain operations. Taking advantage of the learning from incidents (LFI) models traditionally used in the risk and safety management area, this paper proposes an information management system to support organizational learning from technical inconveniences in a military supply chain. The approach is discussed with reference to the Italian context, in line with international and national standards for technical inconvenience reporting. The results of the paper show the benefits of adopting a systematic LFI system for technical inconveniences, providing related exemplar business intelligence dashboards. Further implications for the generalization of the proposed information management system are presented to foster a healthy and effective reporting environment in military scenarios

Development of business strategies based on logistics performance of the Republic of Croatia

Croatia, as a moderately new member of the EU, has recognized the prospects offered by the membership. The participation of Croatian enterprises in European supply chains is an important opportunity for the country’s economic growth. The analysis of its logistics performance, based on the World Bank data, suggest a positive change in recent years. That proves a beneficial evolution of the business environment in Croatia. The primary research presented in the paper considers the improved logistics infrastructure and other subfactors included in the analysis, the support offered to business activities and the increased readiness of the country for a potential upturn of logistics services. Using logistical advantages of Croatia as a location or improved infrastructure may be a stimulus for creating relationships with business partners in the EU. A country that applies the adaptable concept of a logistics platform is in a good position to use new possibilities on the EU market, especially the growing e-commerce sector. Free flow of information on the Internet and unrestricted access to customers in the single market, guaranteed by EU law, opens new possibilities for trade development and finding one’s niche. Recently the European Parliament adopted the regulation forbidding geo-blocking and thus created potential for e-commerce growth in Europe. Croatia may benefit from its location and rise in logistics performance. In this relatively new sector, the ability to use all logistical advantages has become an asset. Employing advanced analytical techniques of simulation and visualization for logistics applications has become a prerequisite for growing e-commerce on the EU market. The questions arising from such a perspective concern the abilities of the Croatian business to exploit the described potential. How should managers of business entities adjust their strategies to logistics standards? How strongly is business intelligence correlated with supply chain management? The purpose of this paper is to formulate a protocol for creating a logistics strategy for Croatian enterprises. Preliminary research for this article included logistics performance index (LPI) analysis, literature, and data mining. Variables examined in the primary research of Croatian companies’ practice were categorized as business intelligence, supply chain management, information visibility and integration of logistics function. Factor analysis was used to connect these variables, i.e. to reduce the number of variables. The authors have tested the correlation between variables. There was a significant statistical correlation between business intelligence, supply chain management, information visibility and integration as prerequisites for a competitive logistics strategy of the company

ERP II Readiness in Jordanian Industrial Companies

Enterprise systems have evolved in the last three decades from MRP (material requirements planning), MRP II and ERP (enterprise resource planning) to ERP II in the turn of the century. ERP II integrates the core ERP system with specialized solutions in SCM (supply chain management), SRM (supplier relationship management), CRM (customer relationship management), PRM (partner relationship management) and KM (knowledge management), enabled by e-business technologies. This research investigates the readiness of Jordanian industrial companies for ERP II implementation via an empirical study using a self-administered questionnaire. The study results revealed that the Jordanian industrial companies have all of the ERP II components with the exception of CRM and PRM, while suffering from significant integration deficiency, and lacking KM and BI (business intelligence) support. The findings of this study shall encourage the Jordanian industrial companies to review their ERP II integration strategies to maximize the IT investment return

Supply Chain Research and Analysis: Illuminating Risks in Complex Systems

Framing the strategic challenge posed by the interconnected, multitiered supply chains of mission projects managed by the NASA Goddard Space Flight Center. Discussing conditions and risks which can disrupt or threaten the availability, production and delivery of products and services for complex space systems. Utilizing a holistic analytical framework, business intelligence techniques, an integrated information system platform and analytics to produce insight into suppliers / supply chains and associated risks. Advancing supply chain risk management capabilities to support the successful performance of space missions

Supply Chain Intelligence

This chapter provides on overall picture of business intelligence (BI) and supply chain analytics (SCA) as a means to support supply chain management (SCM) and decision-making. Based on the literature review, we clarify the needs of BI and performance measurement in the SCM sphere, and discuss its potential to enhance decision-making in strategic, tactical and operational levels. We also make a closer look in to SCA in different areas and functions of SCM. Our findings indicate that the main challenge for harnessing the full potential of SCA is the lack of holistic and integrated BI approaches that originates from the fact that each functional area is using its own IT applications without necessary integration in to the company’s overall BI system. Following this examination, we construct a holistic framework that illustrates how an integrated, managerially planned BI system can be developed. Finally, we discuss the main competency requirements, as well as the challenges still prohibiting the great majority of firms from building smart and comprehensive BI systems for SCM.fi=vertaisarvioitu|en=peerReviewed

Supply Chain Research and Analysis for Space Systems

The implementation of NASA GSFC's portfolio of mission projects relies upon inter-connected, multi-tiered supply chains of organizations operating under direct and indirect contracts and other agreements throughout the U.S. and around the world. These supply chains are subject to an inter-related array of technical/production, business, market and security risks that are amplified by the ongoing globalization of industry and technology and which can disrupt or threaten the production and delivery of products and services when needed and in conformance with requirements. In recognition of such risks and associated challenges, GSFC's SMA directorate launched an innovative Supply Chain Research and Analysis capability three years ago to gain greater insight into the operating environment, performance, capabilities and viability of current and prospective suppliers for GSFC projects and proposals. The capability uses business intelligence techniques and primarily open source information resources as part of a cost-effective, non-intrusive methodology to produce several types of research and analysis reports. The reports are based on a holistic analytical framework encompassing key technical/production, business enterprise management, market and security factors, and feature in-depth information, summary information profiles, SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis, and candidate risk concerns in order to pro-actively support SMA and project management needs. The SRA capability, which is designed to complement and support ongoing SMA/project management activities and practices, has produced over 105 reports since its start-up in early 2015.This presentation addresses the approach, methodology and performance of the Supply Chain Research and Analysiscapability and its value in assuring the success of NASA mission projects. In doing so, the presentation provides lessons-learned, best practices, case examples and address how it fits into the development of an enterprise-level Supply Chain Risk Management capability

Ethical Implications of Predictive Risk Intelligence

open access articleThis paper presents a case study on the ethical issues that relate to the use of Smart Information Systems (SIS) in predictive risk intelligence. The case study is based on a company that is using SIS to provide predictive risk intelligence in supply chain management (SCM), insurance, finance and sustainability. The pa-per covers an assessment of how the company recognises ethical concerns related to SIS and the ways it deals with them. Data was collected through a document review and two in-depth semi-structured interviews. Results from the case study indicate that the main ethical concerns with the use of SIS in predictive risk intelli-gence include protection of the data being used in predicting risk, data privacy and consent from those whose data has been collected from data providers such as so-cial media sites. Also, there are issues relating to the transparency and accountabil-ity of processes used in predictive intelligence. The interviews highlighted the issue of bias in using the SIS for making predictions for specific target clients. The last ethical issue was related to trust and accuracy of the predictions of the SIS. In re-sponse to these issues, the company has put in place different mechanisms to ensure responsible innovation through what it calls Responsible Data Science. Under Re-sponsible Data Science, the identified ethical issues are addressed by following a code of ethics, engaging with stakeholders and ethics committees. This paper is important because it provides lessons for the responsible implementation of SIS in industry, particularly for start-ups. The paper acknowledges ethical issues with the use of SIS in predictive risk intelligence and suggests that ethics should be a central consideration for companies and individuals developing SIS to create meaningful positive change for society