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Author: Gerard Cachon
Publisher: McGraw Hill
ISBN: 007714774X
Category : Business & Economics
Languages : en
Pages : 531
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Book Description
This book represents the essential body of knowledge for an introductory operations management course. The guiding principle in the development of Matching Supply with Demand has been “real operations, real solutions.”
Author: Gerard Cachon
Publisher: McGraw Hill
ISBN: 007714774X
Category : Business & Economics
Languages : en
Pages : 531
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Book Description
This book represents the essential body of knowledge for an introductory operations management course. The guiding principle in the development of Matching Supply with Demand has been “real operations, real solutions.”
Author:
Publisher: Now Publishers Inc
ISBN: 1601984324
Category :
Languages : en
Pages : 116
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Book Description
Author: Michael Kirste
Publisher: BoD – Books on Demand
ISBN: 3744838056
Category : Business & Economics
Languages : en
Pages : 250
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Book Description
In the real world, production systems are affected by external and internal uncertainties. Stochastic demand - an external uncertainty - arises mainly due to forecast errors and unknown behavior of customers in future. Internal uncertainties occur in situations where random yield, random production capacity, or stochastic processing times affect the productivity of a manufacturing system. The resulting stochastic production output is especially present in industries with modern and complex technologies as the semiconductor industry. This thesis provides model formulations and solution methods for capacitated dynamic lot sizing problems with stochastic demand and stochastic production output that can be used by practitioners within Manufacturing Resource Planning Systems (MRP), Capacitated Production Planning Systems (CPPS), and Advanced Planning Systems (APS). In all models, backordered demand is controlled with service levels. Numerical studies compare the solution methods and give managerial implications in presence of stochastic production output. This book addresses practitioners, consultants, and developers as well as students, lecturers, and researchers with focus on lot sizing, production planning, and supply chain management.
Author: SeChan Oh
Publisher: Stanford University
ISBN:
Category :
Languages : en
Pages : 159
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Book Description
Optimal stopping problems determine the time to terminate a process to maximize expected rewards. Such problems are pervasive in the areas of operations management, marketing, statistics, finance, and economics. This dissertation provides a method that characterizes the structure of the optimal stopping policy for a general class of optimal stopping problems. It also studies two important optimal stopping problems arising in Operations Management. In the first part of the dissertation, we provide a method to characterize the structure of the optimal stopping policy for the class of discrete-time optimal stopping problems. Our method characterizes the structure of the optimal policy for some stopping problems for which conventional methods fail. Our method also simplifies the analysis of some existing results. Using the method, we determine sufficient conditions that yield threshold or control-band type optimal stopping policies. The results also help characterize parametric monotonicity of optimal thresholds and provide bounds for them. In the second part of the dissertation, we first generalize the Martingale Model of Forecast Evolution to account for multiple forecasters who forecast demand for the same product. The result enables us to consistently model the evolution of forecasts generated by two forecasters who have asymmetric demand information. Using the forecast evolution model, we next study a supplier's problem of eliciting credible forecast information from a manufacturer when both parties obtain asymmetric demand information over multiple periods. For better capacity planning, the supplier designs and offers a screening contract that ensures the manufacturer's credible information sharing. By delaying to offer this incentive mechanism, the supplier can obtain more information. This delay, however, may increase (resp., or decrease) the degree of information asymmetry between the two firms, resulting in a higher (resp., or lower) cost of screening. The delay may also increase capacity costs. Considering all such trade-offs, the supplier has to determine how to design a mechanism to elicit credible forecast information from the manufacturer and when to offer this incentive mechanism. In the last part of the dissertation, we study a manufacturer's problem of determining the time to introduce a new product to the market. Conventionally, manufacturing firms determine the time to introduce a new product to the market long before launching the product. The timing decision involves considerable risk because manufacturing firms are uncertain about competing firms' market entry timing and the outcome of production process development activities at the time when they make the decision. As a solution for reducing such risk, we propose a dynamic market entry strategy under which the manufacturer makes decisions about market entry timing and process improvements in response to the evolution of uncertain factors. We show that the manufacturer can reduce profit variability and increase average profit by employing this dynamic strategy. Our study also characterizes the industry conditions under which the dynamic strategy is most effective.
Author: Adam Hamrol
Publisher: Springer
ISBN: 3030172694
Category : Technology & Engineering
Languages : en
Pages : 306
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Book Description
This book covers a wide range of management issues, concerning planning, control and continuous improvement. It especially focuses on the management of the enterprise and production processes in the era of globalization, discussing the process of transferring production to developing countries, covering issues in technological culture, and reporting on quality control issues and on problems related to continuous process improvement. Modern strategies such as Six Sigma and lean manufacturing are also discussed. Another topic concerns the management of the education sphere, and how to develop the latter to prepare employees to the changes brought by the technical development. Based on papers presented at the 6th International Scientific-Technical Conference MANUFACTURING 2019, held in Poznan, Poland on May 19–22, 2019, this book bridges issues in quality engineering with concepts of ergonomics and sociology, thus offering a timely, practice-oriented guide to both the engineers and managers of the future.
Author: Michael Roe
Publisher: Springer
ISBN: 1137501154
Category : Business & Economics
Languages : en
Pages : 209
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Book Description
Optimizing Supply Chain Performance takes industrial case studies from SMEs in China to examine the importance of information sharing and coordinated management as essential mechanisms to improve supply chain performance.
Author:
Publisher:
ISBN:
Category : Engineering economy
Languages : en
Pages :
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Book Description
Author: David L. Debertin
Publisher:
ISBN:
Category : Agricultural productivity
Languages : en
Pages : 413
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Book Description
Author: J. T. Black
Publisher: John Wiley & Sons
ISBN: 1119723299
Category : Technology & Engineering
Languages : en
Pages : 902
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Book Description
Guiding engineering and technology students for over five decades, DeGarmo's Materials and Processes in Manufacturing provides a comprehensive introduction to manufacturing materials, systems, and processes. Coverage of materials focuses on properties and behavior, favoring a practical approach over complex mathematics; analytical equations and mathematical models are only presented when they strengthen comprehension and provide clarity. Material production processes are examined in the context of practical application to promote efficient understanding of basic principles, and broad coverage of manufacturing processes illustrates the mechanisms of each while exploring their respective advantages and limitations. Aiming for both accessibility and completeness, this text offers introductory students a comprehensive guide to material behavior and selection, measurement and inspection, machining, fabrication, molding, fastening, and other important processes using plastics, ceramics, composites, and ferrous and nonferrous metals and alloys. This extensive overview of the field gives students a solid foundation for advanced study in any area of engineering, manufacturing, and technology.
Author:
Publisher:
ISBN:
Category : Numerical analysis
Languages : en
Pages : 392
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Book Description
International journal devoted to pure and applied research on the use of scientific methods and information processing in business and industry. Articles may be in English or French.
