Supply chain management

About: Supply chain management is a research topic. Over the lifetime, 39055 publications have been published within this topic receiving 1082949 citations. The topic is also known as: SCM.

Method for integrated supply chain and financial management

Abstract: A method to generate a strategic business plan to improve operations, and to closely monitor various performance measures of an enterprise. This is accomplished employing a more comprehensive approach to maximizing profitability, increasing revenue, and explicitly considering risk. In particular, the method extends supply chain management using financial management considerations, extends financial management using supply chain management considerations, employs supply chain management techniques to improve financial management, and employs financial management techniques to improve supply chain management. The method uses information and models derived from at least one of the following business processes: accounting; cash management; funds management, financing, profitability analysis, risk management, loan management, treasury management, investments management, business development, order management, demand planning and forecasting, procurement, production planning, inventory management, transportation and distribution, and supply chain design.

Introduction to Information in Technology

Abstract: From the Publisher: It makes your business soar! Without Information Technology (IT), the snowboard on the cover simply would never make it to the slopes As you read Introduction to Information Technology, you’ll discover that IT integrates and enhances all functions of a business—from the research and development that goes into designing a faster, more flexible board, to the delivery systems that make sure stores receive stock in time for winter, to the point-of-sale systems that track sales trends and customers’ buying preferences Written in language you can easily understand, the text gradually presents complex technical information on a need-to-know basis, so that you won’t get overwhelmed by the details Each chapter is filled with dozens of real-world examples that demonstrate IT’s relevance to different disciplines, industries, and companies Throughout the text, you’ll also find numerous opportunities to apply what you’ve learned Features *Relevance: The authors explain why IT is important to all individuals and functions within an organization by relating topics to specific business majors (finance, marketing, MIS, production/operations, HR, etc) *Real-World Examples: Extensive examples show you the capabilities of IT, its cost and justifications, and innovative ways actual corporations are using IT in their operations *Global Perspective: The text explains how IT facilitates export and import, managing multinational companies, and electronic trading around the globe *Integrated Systems: Integrated systems (eg SAP R/3; extranets) are stressed and related to supply chain management and multinational corporations *Making Connections:The text emphasizes the importance of connections among individuals, groups, and organizations, and the support that IT provides in enabling these connections *The Web: In addition to teaching the fundamentals of the Internet, the text presents a comprehensive chapter on e-commerce All chapters include Web-based, real-world applications, "integration with the Web" exploration, and Internet exercises *The Virtual Company: A Web-based case for a simulated company manufacturing snowboards enables you to create and operate a small business a small business on the Web

Supply chain resilience: definition of concept and its formative elements

Abstract: The objective of this paper is to conceptualize Supply Chain Resilience (SCRes) and identify which supply chain capabilities can support the containment of disruptions and how these capabilities affect SCRes. Through a systematic and structured review of literature, this paper provides insights into the conceptualization and research methodological background of the SCM field. A total of one hundred and thirty four carefully selected refereed journal articles were systematically analyzed leading to the introduction of a novel definition for SCRes, which the authors view as the as the ability to proactively plan and design the Supply Chain network for anticipating unexpected disruptive (negative) events, respond adaptively to disruptions while maintaining control over structure and function and transcending to a post-event robust state of operations, if possible, more favorable than the one prior to the event, thus gaining competitive advantage. Finally, a critical examination of existing conceptual frameworks for understanding the relationships between the SCRes concept and its identified formative elements, is taking place.

Supply chain risk analysis with mean-variance models: a technical review

Abstract: Pioneered by Nobel laureate Harry Markowitz in the 1950s, the mean-variance (MV) formulation is a fundamental theory for risk management in finance. Over the past decades, there is a growing popularity of applying this ground breaking theory in analyzing stochastic supply chain management problems. Nowadays, there is no doubt that the mean-variance (MV) theory is a well-proven approach for conducting risk analysis in stochastic supply chain operational models. In view of the growing importance of MV approach in supply chain management, we review a selection of related papers in the literature that focus on MV analytical models. By classifying the literature into three major areas, namely, single-echelon problems, multi-echelon supply chain problems, and supply chain problems with information updating, we derive insights into the current state of knowledge in each area and identify some associated challenges with a discussion of some specific models. We also suggest future research directions on topics such as information asymmetry, supply networks, and boundedly rational agents, etc. In conclusion, this paper provides up-to-date information which helps both academicians and practitioners to better understand the development of MV models for supply chain risk analysis.