Description: Supply Chain Disruption Management Using Stochastic Mixed Integer Programming by Tadeusz Sawik Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address risk-neutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on innovative, computationally efficient portfolio approaches to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc.Numerous computational examples throughout the book, modeled in part on real-world supply chain disruption management problems, illustrate the material presented and provide managerial insights. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management.After an introductory chapter, the book is then divided into five main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply (and demand) portfolios and scheduling; and Part V addresses disruption management of information flows in supply chains. Author Biography Tadeusz Sawik is a Professor of Industrial Engineering and Operations Research at AGH University of Science and Technology in Kraków, Poland. He has been Associate Dean for Research at School of Management, Chair of the Department of Computer Integrated Manufacturing and Chair of the Department of Operations Research and Information Technology. He received the MS degree in mechanical engineering, the PhD degree in control engineering and the ScD (habilitation) degree in operations research, all from AGH University. He has been a visiting professor in Germany, Japan, Sweden and Switzerland and he has served as a research advisor of Motorola for several years. Five times he received Scientific Excellence Award from the Minister of Science and Higher Education, one of the most prestigious award in Poland. He has published numerous books (including Production Planning and Scheduling in Flexible Assembly Systems, Springer, 1998 and Scheduling in Supply Chains Using Mixed Integer Programming, Wiley, 2011), and more than 150 individual articles in refereed journals. His current research interests are in the area of supply chain optimization, risk management, scheduling and integer programming. In the 50th volume anniversary issue of International Journal of Production Research (IJPR), a flagship journal in production research, he has been recognized as one of the top authors who have had the greatest impact on defining the knowledge represented in IJPR. He is the founding Editor-in-Chief of Decision Making in Manufacturing and Services (AGH University Press). Details ISBN 3319864831 ISBN-13 9783319864839 Title Supply Chain Disruption Management Using Stochastic Mixed Integer Programming Author Tadeusz Sawik Format Paperback Year 2018 Pages 349 Publisher Springer International Publishing AG GE_Item_ID:158889911; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 125.62 USD
Location: Fairfield, Ohio
End Time: 2024-12-29T03:01:27.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783319864839
Book Title: Supply Chain Disruption Management Using Stochastic Mixed Integer
Number of Pages: Xxx, 349 Pages
Language: English
Publication Name: Supply Chain Disruption Management Using Stochastic Mixed Integer Programming
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Industrial Engineering, Operations Research, Production & Operations Management, Combinatorics
Item Weight: 20.5 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Technology & Engineering, Business & Economics
Author: Tadeusz Sawik
Item Width: 6.1 in
Series: International Series in Operations Research and Management Science Ser.
Format: Trade Paperback
