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Sensitivity Analysis of Selected Inventory Decision Models

Sensitivity Analysis of Selected Inventory Decision Models PDF Author: John Austin White
Publisher:
ISBN:
Category : Inventories
Languages : en
Pages : 190

Book Description


Sensitivity Analysis of Selected Inventory Decision Models

Sensitivity Analysis of Selected Inventory Decision Models PDF Author: John Austin White
Publisher:
ISBN:
Category : Inventories
Languages : en
Pages : 190

Book Description


Sensitivity Analysis of an (s, S) Inventory Model

Sensitivity Analysis of an (s, S) Inventory Model PDF Author: Fangruo Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 16

Book Description


Optimization and Inventory Management

Optimization and Inventory Management PDF Author: Nita H. Shah
Publisher: Springer Nature
ISBN: 9811396981
Category : Business & Economics
Languages : en
Pages : 470

Book Description
This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models’ robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game theory approaches, genetic algorithms, and data mining, as well as research on big data applications for inventory management and control. Starting from deterministic inventory models, the book moves towards advanced inventory models. The content is divided into eight major sections: inventory control and management – inventory models with trade credit financing for imperfect quality items; environmental impact on ordering policies; impact of learning on the supply chain models; EOQ models considering warehousing; optimal ordering policies with data mining and PSO techniques; supply chain models in fuzzy environments; optimal production models for multi-items and multi-retailers; and a marketing model to understand buying behaviour. Given its scope, the book offers a valuable resource for practitioners, instructors, students and researchers alike. It also offers essential insights to help retailers/managers improve business functions and make more accurate and realistic decisions.

Sensitivity Analysis of Inventory Models

Sensitivity Analysis of Inventory Models PDF Author: Ned Gene Jones
Publisher:
ISBN:
Category :
Languages : en
Pages : 258

Book Description


Sensitivity Analysis of a Probabilistic Inventory Model Using True, Average Inventory Levels

Sensitivity Analysis of a Probabilistic Inventory Model Using True, Average Inventory Levels PDF Author: Sue Osier
Publisher:
ISBN:
Category :
Languages : en
Pages : 408

Book Description


A Study in Sensitivity Analysis of a Dynamic Random Lead-time Inventory Model

A Study in Sensitivity Analysis of a Dynamic Random Lead-time Inventory Model PDF Author: N. Kebriaei
Publisher:
ISBN:
Category :
Languages : en
Pages : 218

Book Description


Decision Models for Inventory Management

Decision Models for Inventory Management PDF Author: Robert B. Fetter
Publisher:
ISBN:
Category : Inventories
Languages : en
Pages : 146

Book Description


Sensitivity Analysis in Practice

Sensitivity Analysis in Practice PDF Author: Andrea Saltelli
Publisher: John Wiley & Sons
ISBN: 047087094X
Category : Mathematics
Languages : en
Pages : 232

Book Description
Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis.

Conference and Convention: Technical Papers

Conference and Convention: Technical Papers PDF Author: American Institute of Industrial Engineers
Publisher:
ISBN:
Category : Industrial engineering
Languages : en
Pages : 578

Book Description


Statistics, Data Analysis, and Decision Modeling

Statistics, Data Analysis, and Decision Modeling PDF Author: James Robert Evans
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 508

Book Description
This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made. Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models. For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.