Economic Leaflets


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Developing a Framework for Supply Chain Planning in Construction


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Supply chain management (SCM) has been stressed as a remedy to many of the underlying issues in the construction industry. However, the positive examples where SCM has been successfully utilised and diminished the lingering issues in construction is scarce. The question is why. Previous studies have stressed the importance of planning both the construction project as such but also the supply chain and the logistics. As an important part of SCM, supply chain planning (SCP) focuses on planning different aspects of the supply chain through involving different members of the supply chain in the planning process. SCP in construction is scarce as the planning of the logistics in general. Failing to plan the supply chain, involving supply chain members in the planning, and integrating the processes of planning the supply chains and the construction project can be one reason for the low numbers of successful SCM adoption in construction. In improving the SCP in construction, this thesis develops a SCP framework for construction that involves the main contractor, subcontractors, and suppliers. The aim is to improve SCP, collaboration, and eliminate many of the common problems in construction through a SCM and SCP perspective. The developed framework is based on an existing planning framework for sales and operations planning. This framework is generic and synthesises planning in general. It consists of identifying/developing: outcomes, input, organisation, process, key performance measurements, and IT-tools. It is thus necessary to investigate what these aspects means in a construction context. Four research objects will be fulfilled: Objective 1. Identify common logistical problems and linkages between them Objective 2. Develop a SCP process Objective 3. Develop a SCP organisation Objective 4. Identify performance measurements




NASA SP-7500


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Graduate Studies


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Management


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Diginomics Research Perspectives


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This book focuses on traditional fields of business studies and economics and how digitalization has affected them. It provides an overview about the lessons learned from academic research and highlights implications for practitioners. Digitalization has not only changed the ways business administration and economics are taught, but also the substance at the core of the two disciplines. Chapters from expert contributors define and carefully evaluate the developments that have occurred over the last decades. The authors further provide an assessment of how industry branches have adapted and in which form regulators have engaged. Attention is given to the theoretical and empirical findings from recent scholarly literature. Furthermore, the authors provide some novel insights from their own research at the University of Bremen. This book appeals to business administration, economics, and entrepreneurship scholars and practitioners alike.







Quantitative Models for Supply Chain Management


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Quantitative models and computer-based tools are essential for making decisions in today's business environment. These tools are of particular importance in the rapidly growing area of supply chain management. This volume is a unified effort to provide a systematic summary of the large variety of new issues being considered, the new set of models being developed, the new techniques for analysis, and the computational methods that have become available recently. The volume's objective is to provide a self-contained, sophisticated research summary - a snapshot at this point of time - in the area of Quantitative Models for Supply Chain Management. While there are some multi-disciplinary aspects of supply chain management not covered here, the Editors and their contributors have captured many important developments in this rapidly expanding field. The 26 chapters can be divided into six categories. Basic Concepts and Technical Material (Chapters 1-6). The chapters in this category focus on introducing basic concepts, providing mathematical background and validating algorithmic tools to solve operational problems in supply chains. Supply Contracts (Chapters 7-10). In this category, the primary focus is on design and evaluation of supply contracts between independent agents in the supply chain. Value of Information (Chapters 11-13). The chapters in this category explicitly model the effect of information on decision-making and on supply chain performance. Managing Product Variety (Chapters 16-19). The chapters in this category analyze the effects of product variety and the different strategies to manage it. International Operations (Chapters 20-22). The three chapters in this category provide an overview of research in the emerging area of International Operations. Conceptual Issues and New Challenges (Chapters 23-27). These chapters outline a variety of frameworks that can be explored and used in future research efforts. This volume can serve as a graduate text, as a reference for researchers and as a guide for further development of this field.




Discrete Choice Methods with Simulation


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This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.




Popular Science


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Popular Science gives our readers the information and tools to improve their technology and their world. The core belief that Popular Science and our readers share: The future is going to be better, and science and technology are the driving forces that will help make it better.