A Simulation Model Articulation of the REA Ontology

This paper demonstrates how the REA enterprise ontology can be used to construct simulation models for business processes, value chains and collaboration spaces in supply chains. These models support various high-level and operational management simulation applications, e.g. the analysis of enterprise sustainability and day-to-day planning. First, the basic constructs of the REA ontology and the ExSpect modelling language for simulation are introduced. Second, collaboration space, value chain and business process models and their conceptual dependencies are shown, using the ExSpect language. Third, an exhibit demonstrates the use of value chain models in predicting the financial performance of an enterprise

Paradigm Shifts - E-Business and Business/Systems Integration

The last decade or so spawned a host of business and technology innovations. On the business side, we saw business process reengineering, the management philosophies of customer relationship management and supply chain management, virtual organizations, electronic commerce, and business-to-business trading exchanges. On the technology side, we saw client-server computing, enterprise resource planning systems, the widespread adoption of Internet protocols, intranets and enterprise information portals, software package support for customer relationship management, supply chain management and other activities related to electronic business, and applications service providers. This tutorial puts put these business and technology innovations into historical context and relates them to one another through the unifying concepts of business integration and systems integration. One theme of the tutorial is the incomplete linkage between business integration and systems integration. Another is the imperfect relationship between the management philosophies of customer relationship management, supply chain management and electronic business more broadly and the information technologies that provide applications support for these management philosophies

An Analysis of the Potential Applications of Big Data Analytics (BDA) in Supply Chain Management: Emerging Market Perspective

Big Data is defined as the techniques, technologies, systems, practices, methodologies, and applications that analyze critical business data to help an enterprise better understand its business and market and make timely business decisions. Big Data can be utilized to gain critical and fundamental insights towards optimizing the supply chain decisions more effective and efficient. In the recent years, therefore, researchers and practitioners have tried to measure the capabilities of Big Data to optimize Supply Chain Management (SCM) efficiency. This research attempts to provide a clear understanding of Big Data applications on Supply Chain Management in emerging markets, especially in Bangladesh, primarily focusing on four key areas: reducing inventory cost, attaining cost leadership, improving customer service and enhancing speed of delivery. To investigate the potential application of Big Data in supply management, a qualitative research has been conducted. Ten in-depth interviews and a case study have been conducted to collect the relevant information from the supply chain experts of the selected firms. Thematic analysis and Hermeneutic iterative methods of analyses have been used. The results indicate that the supply chain of both physical products and services can be benefited from Big Data analytics. The study also revealed that Big Data can be applied in SCM for operational and development purposes including value discovery, value creation and value capture. This study would help the decision makers and practitioners of Supply Chain Management of diverse fields to adopt Big Data to improve the organizations performance and sustainability. Keywords: Big Data analytics, Supply Chain Management, applications, emerging markets

Standards Framework for Intelligent Manufacturing Systems Supply Chain

ISBN 979-953-307-708-5 http://www.intechopen.com/articles/show/title/standards-framework-for-intelligent-manufacturing-systems-supply-chain#referenceThe global market is striving to increase competitiveness among organizations and networks. Nowadays, management of supply chains does not only consider business processes in the traditional value chain, but also processes that penetrate networks of organisations. Indeed, the formation of cooperation and collaboration partnerships between several small organizations can be, in multiple cases, more efficient by comparison with big companies (Rudberg et al., 2002). This way, the research on supply chain management has turned from an intra-enterprise focus towards an inter-enterprise focus with companies looking for enhanced interoperability between computer systems and applications. Supply chain networks are characterized by different structures such as, business processes and technological, organizational, topological, informational, and financial structures. All are interrelated but following their own dynamics. Thus, in order to ensure a high responsiveness level, the supply chain plans must be formed robustly and extremely quickly in relation to all the structures (Gupta & Maranas, 2003). In fact, with regards to supply chain in the advent of globalization, one of the difficulties enterprises are facing is the lack of interoperability of systems and software applications to manage and orchestrate the different structures involved (Jardim-Goncalves et al. 2006; Panetto et al., 2006; Farinha et al., 2007). The increasing need for cooperation and collaboration together with the rapid advances in information and communication technology (ICT) have brought supply chain planning into the forefront of the business practices of most manufacturing and service organizations (Gupta & Maranas, 2003). Moreover, there has been a growing interest and research in e-business solutions to facilitate information sharing between organisations in the supply chain network

Supply Chain

Traditionally supply chain management has meant factories, assembly lines, warehouses, transportation vehicles, and time sheets. Modern supply chain management is a highly complex, multidimensional problem set with virtually endless number of variables for optimization. An Internet enabled supply chain may have just-in-time delivery, precise inventory visibility, and up-to-the-minute distribution-tracking capabilities. Technology advances have enabled supply chains to become strategic weapons that can help avoid disasters, lower costs, and make money. From internal enterprise processes to external business transactions with suppliers, transporters, channels and end-users marks the wide range of challenges researchers have to handle. The aim of this book is at revealing and illustrating this diversity in terms of scientific and theoretical fundamentals, prevailing concepts as well as current practical applications

Evaluating the integration of supply chain information systems: A case study

Supply chain management (SCM) is the integrated management of business links, information flows and people. It is with this frame of reference that information systems integration from both intra- and inter-organisational levels becomes significant. Enterprise application integration (EAI) has emerged as software technologies to address the issue of integrating the portfolio of SCM components both within organisations and through cross-enterprises. EAI is based on a diversity of integration technologies (e.g. message brokers, ebXML) that differ in the type and level of integration they offer. However, none of these technologies claim to be a panacea to overcoming all integration problems but rather, need to be pieced together to support the linking of diverse applications that often exist within supply chains. In exploring the evaluation of supply chain integration, the authors propose a framework for evaluating the portfolio of integration technologies that are used to unify inter-organisational and intra-organisational information systems. The authors define and classify the permutations of information systems available according to their characteristics and integration requirements. These, classifications of system types are then adopted as part of the evaluation framework and empirically tested within a case study

A Collaborative Commerce Framework for the Real Estate Industry

The Internet opens up new business opportunities for the real estate industry. It provides real estate companies with new ways to collaborate with service providers, gain customer and market information, and communicate with the customer in new ways to turn the industry into a customer-centric driven modus operandi. It also makes the real-estate market more transparent, and hence more efficient. This, in turn, will create downward pressure on existing commission fees, create multiple revenue channels, and redefine the role of the agent as an intermediary. A collaborative commerce-model framework is developed and illustrated to act as an enabler for turning these opportunities into a future reality. The collaborative model is based on a generic e-business applications framework, which incorporates Enterprise Resource Planning, Supply Chain Management, Customer Relationship Management, Selling Chain Management, and Enterprise Application Integration and Business Intelligence

Enterprise Application Integration: An Emerging Technology for Integrating ERP and Supply Chains

During the last decade, the adoption of ebusiness applications and practices has transformed enterprises and changed the way of doing business. As a result, the competition among companies has increased and organisations are focusing on supply chain co-ordination and collaboration to increase their business benefits. For many years, Enterprise Resource Planning (ERP) systems supported supply chain management. However, the limitations of ERP systems on integrating disparate systems have led organisations to seek for new approaches to integrate their systems and supply chains. Thus, the intention of this paper is to explain why ERP systems have failed to support integrated supply chains and to introduce a new approach on systems integration, which can be adopted by organisations to overcome their integration problems

Reinforce customer satisfaction through enterprise resource planning and supply chain management integration

The purpose of this project is to try and establish a blueprint for integrating Enterprise Resource Planning (ERP) and Supply Chain Management (SCM). ERP and SCM have become popular in many industries because they help companies improve their Information Systems (IS) which helps support their operational goals. New technology is being used in resource planning and e-commerce and a stable supply chain helps corporations integrate many basic applications. This helps facilitate smooth supplier-customer interactions while minimizing transaction costs. This project is trying to provide a way in which to implement ERP systems properly into SCM. It should result in improved business performance and client satisfaction