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Global Supply Chain and Operations Management: A Decision-Oriented Introduction to the Creation of Value 1st ed. 2017 [Kõva köide]

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  • Formaat: Hardback, 445 pages, kõrgus x laius: 235x155 mm, kaal: 8276 g, 205 Illustrations, black and white; XXI, 445 p. 205 illus., 1 Hardback
  • Sari: Springer Texts in Business and Economics
  • Ilmumisaeg: 02-Aug-2016
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319242156
  • ISBN-13: 9783319242156
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Global Supply Chain and Operations Management: A Decision-Oriented Introduction to the Creation of Value 1st ed. 2017Suurem pilt
  • Formaat: Hardback, 445 pages, kõrgus x laius: 235x155 mm, kaal: 8276 g, 205 Illustrations, black and white; XXI, 445 p. 205 illus., 1 Hardback
  • Sari: Springer Texts in Business and Economics
  • Ilmumisaeg: 02-Aug-2016
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319242156
  • ISBN-13: 9783319242156
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319242156.html
Märksõnad:
This textbook presents global supply chain and operations management from a comprehensive perspective, combining value creation networks and interacting processes. It focuses on the operational roles in the networks and presents the quantitative and organizational methods needed to plan and control the material, information and financial flows in the supply chain. Each chapter of the book starts with an introductory case study. Numerous examples from various industries and services help to illustrate the key concepts. The book explains how to design operations and supply networks and how to incorporate suppliers and customers. As matching supply and demand is a core aspect of tactical planning, the book focuses on it before turning to the allocation of resources for fulfilling customer demands. Providing readers with a working knowledge of global supply chain and operations management, this textbook can be used in core, special and advanced classes. Therefore, the book targets a b

road range of students and professionals involved with supply chain and operations management. Special focus is directed at bridging theory and practice.

Basics of Supply Chain and Operations Management.- Examples from Different Industries, Services and Continents.- Processes, Systems, and Models.- Operations and Supply Chain Strategy.- Sourcing Strategy.- Production Strategy.- Facility location planning and network design.- Distribution and transportation network design.- Factory Planning and Process Design.- Layout planning.- Demand Forecasting.- Production and Material Requirements Planning.- Inventory Management.- Routing and Scheduling.- Appendix:Case-study:Re-designing the material flow in a global manufacturing network.
1 Basics of Supply Chain and Operations Management
1(14)
1.1 Introductory Case Study: The Magic Supply Chain and the Best Operations Manager
2(1)
1.2 Basic Definitions and Decisions
3(6)
1.2.1 Transformation Process, Value Creation and Operations Function
3(2)
1.2.2 Supply Chain Management
5(1)
1.2.3 Decisions in Supply Chain and Operations Management
6(3)
1.3 Careers and Future Challenges in Supply Chain and Operations Management
9(4)
1.4 Key Points
13(2)
Bibliography
14(1)
2 Examples from Different Industries, Services and Continents
15(22)
2.1 Examples of Operations and Supply Chains in Manufacturing
15(7)
2.1.1 Nike: Sourcing Strategy in the Integrated Supply Chain
15(2)
2.1.2 Dangote Cement: Establishing Sophisticated Supply Chain Management in Africa
17(3)
2.1.3 Toyota: Supply Chain Disruption Management
20(1)
2.1.4 Adidas "Speedfactory": 3D Printing and Industry 4.0 in Supply Chain and Operations Management
21(1)
2.2 Examples of Operations and Supply Chains in Services
22(8)
2.2.1 SCOM in Restaurants: Case Study Starbucks Corporation
22(1)
2.2.2 Operations Management at Airport Madrid/Barajas
23(2)
2.2.3 Time-Critical Supply Chains: Disaster Management and Humanitarian Logistics
25(3)
2.2.4 Operations Issues in Car Sharing
28(1)
2.2.5 REWE: Expanding the Logistics Network
29(1)
2.3 Examples of e-Operations and Supply Chains
30(7)
2.3.1 Fab.com
30(4)
2.3.2 Homeplus: The Store Comes to Your Home
34(1)
Bibliography
35(2)
3 Processes, Systems, and Models
37(32)
3.1 Introductory Case-Study: AirSupply
37(4)
3.1.1 E-procurement
38(1)
3.1.2 Vendor-Managed Inventory
39(1)
3.1.3 Implementation
40(1)
3.2 Business Process Management
41(4)
3.2.1 Process Optimization and Re-engineering
41(2)
3.2.2 Business Process Modelling
43(2)
3.3 Management Information Systems
45(9)
3.3.1 Role of Information Technology in Supply Chain and Operations Management
45(1)
3.3.2 Types of Management Information Systems
45(1)
3.3.3 Management Information Systems and Organization
46(1)
3.3.4 ERP Systems
47(1)
3.3.5 APS Systems
48(2)
3.3.6 SCEM and RFID
50(2)
3.3.7 Business Analytics and E-Business
52(2)
3.4 Problem Solving Methods and Research Methodologies
54(11)
3.4.1 Problems, Systems, and Decision-Making
54(4)
3.4.2 Models and Modeling
58(1)
3.4.3 Model-Based Decision-Making
59(2)
3.4.4 Quantitative Models and Operations Research
61(1)
3.4.5 Integrated Decision-Making Support
62(1)
3.4.6 Research Methodologies
63(2)
3.5 Key Points
65(4)
Bibliography
66(3)
4 Operations and Supply Chain Strategy
69(28)
4.1 Introductory Case-Study "Quick and Affordable": Zara, UNIQLO & Primark
69(4)
4.2 Operations and Supply Chain Strategies
73(6)
4.2.1 Value Added and Costs
73(1)
4.2.2 Operations Strategies
74(1)
4.2.3 Supply Chain Strategies and "Strategic Fit"
74(5)
4.3 Supply Chain Coordination
79(8)
4.3.1 Bullwhip Effect
79(3)
4.3.2 Vendor-Managed Inventory
82(3)
4.3.3 Collaborative Planning, Forecasting and Replenishment
85(1)
4.3.4 Supply Chain Contracting
86(1)
4.4 Supply Chain Resilience and Sustainability
87(6)
4.4.1 Supply Chain Sustainability: Examples of Coca-Cola and Mercadona
88(3)
4.4.2 Supply Chain Resilience and Ripple Effect
91(2)
4.5 Key Points
93(4)
Bibliography
94(3)
5 Sourcing Strategy
97(24)
5.1 Introductory Case Study "New Logistics Concept (NLK: Das Neue Logistik Konzept) at Volkswagen"
97(3)
5.2 Sourcing Process and Principles
100(6)
5.2.1 Procurement, Purchasing and Sourcing
100(1)
5.2.2 Sourcing Process
101(1)
5.2.3 Make-or-Buy and Outsourcing
102(3)
5.2.4 Organization of Sourcing Processes
105(1)
5.3 Sourcing Strategies
106(5)
5.3.1 Single vs. Dual and Multiple Sourcing
106(1)
5.3.2 Local vs. Global Sourcing
107(3)
5.3.3 Just-in-Time
110(1)
5.4 Supplier Relationship Management
111(6)
5.4.1 Strategic Supplier Analysis
112(2)
5.4.2 Supplier Selection
114(2)
5.4.3 Supplier Integration and Development
116(1)
5.5 Key Points
117(4)
Bibliography
118(3)
6 Production Strategy
121(20)
6.1 Introductory Case-Study DELL vs. Lenovo
121(5)
6.2 Postponement and Modularization
126(4)
6.2.1 Problem: Mass Production or Product Customization
126(1)
6.2.2 Principles: Postponement and Modularization
126(1)
6.2.3 Examples of Postponement Strategies
127(3)
6.3 Push-Pull Views and Order Penetration Point
130(2)
6.4 Selection of a Production Strategy
132(7)
6.4.1 Types of Production Strategies
132(5)
6.4.2 Method: Lost-Sales Analysis
137(2)
6.5 Key Points
139(2)
Bibliography
139(2)
7 Facility Location Planning and Network Design
141(48)
7.1 Introductory Case Study Power Pong Sports, China
142(2)
7.2 Supply Chain Design Framework
144(2)
7.3 Global Supply Chain Design
146(20)
7.3.1 Warehouse Location Problem and Its Formalization
146(3)
7.3.2 A Spreadsheet Approach to the WLP
149(6)
7.3.3 Branch-&-Bound: How the Solver Add-In Works
155(5)
7.3.4 Capacitated WLP
160(6)
7.4 Regional Facility Location
166(9)
7.4.1 Management Problem Description
167(1)
7.4.2 A Mathematical Model of the Decision Situation
167(1)
7.4.3 Solving the Mathematical Model: Centre-of-Gravity Approach
168(7)
7.5 Factor-Ranking Analysis
175(9)
7.5.1 Case-Study OTLG Germany
175(1)
7.5.2 Factor-Rating Method
175(5)
7.5.3 Utility Value Analysis
180(4)
7.6 Key Points
184(5)
Bibliography
186(3)
8 Distribution and Transportation Network Design
189(44)
8.1 Introductory Case Study: Bavarian Wood
190(2)
8.2 Generic Transport Network Structures
192(2)
8.3 Realizing Economies of Scale in Transportation
194(12)
8.3.1 Consolidation of Shipments
194(2)
8.3.2 Postponement
196(1)
8.3.3 Milk-Runs
197(5)
8.3.4 Transshipment
202(4)
8.4 Trade-Off-Based Transportation Network Design
206(3)
8.5 Capacity Allocation in a Many-to-Many Network
209(12)
8.5.1 The Transportation Problem
210(1)
8.5.2 Decision Model
210(2)
8.5.3 Finding the First Feasible Model Solution
212(4)
8.5.4 Optimality Check
216(1)
8.5.5 Solution Improvement
217(4)
8.6 Distribution Network Design
221(10)
8.6.1 Case Study: ALDI vs. Homeplus
221(3)
8.6.2 Types of Distribution Networks
224(1)
8.6.3 Case Study: Seven-Eleven Japan
225(3)
8.6.4 Transportation Modes
228(3)
8.7 Key Points
231(2)
Bibliography
231(2)
9 Factory Planning and Process Design
233(46)
9.1 Introductory Case-Study "Factory Planning at Tesla"
233(2)
9.2 Factory Planning
235(5)
9.2.1 Role of Factory Planning in SCOM
235(1)
9.2.2 Processes of Factory Planning
236(4)
9.3 Capacity Planning
240(16)
9.3.1 Little's Law
242(2)
9.3.2 Bottleneck Analysis/Theory of Constraints
244(1)
9.3.3 Drum, Buffer, Rope
245(1)
9.3.4 Break-Even Analysis
246(2)
9.3.5 Decision Trees
248(2)
9.3.6 Queuing Theory
250(4)
9.3.7 Simulation: Case Study AnyLogic
254(2)
9.4 Process Flow Structures
256(7)
9.4.1 Job Shop
256(1)
9.4.2 Batch Shop
257(1)
9.4.3 Assembly Line
257(5)
9.4.4 Continuous Flow
262(1)
9.4.5 Product-Process Matrix
262(1)
9.5 Lean Production Systems
263(8)
9.5.1 Lean Thinking
263(2)
9.5.2 Lean Production Principles
265(4)
9.5.3 Lean Supply Chain
269(2)
9.6 Modern Trends: Industry 4.0
271(2)
9.7 Key Points and Discussion Questions
273(6)
Bibliography
275(4)
10 Layout Planning
279(22)
10.1 Introductory Case-Study "OTLG Ludwigsfelde"
279(1)
10.2 Layout Planning in Manufacturing
280(10)
10.2.1 Fixed Position Layout
281(1)
10.2.2 Process Flow Layout
282(2)
10.2.3 Product Flow Layout
284(4)
10.2.4 Cell-Based Layout
288(2)
10.3 Layout Planning in Warehouses
290(3)
10.3.1 Incoming Area
290(1)
10.3.2 Storage Area
291(1)
10.3.3 Put-Away and Order Pick-Up
291(1)
10.3.4 Layout Concepts
292(1)
10.4 Methods of Layout Planning
293(6)
10.4.1 REL-Charts
293(2)
10.4.2 Quadratic Assignment Problem
295(2)
10.4.3 Simulation: Modeling Operations at Pharmaceutical Distribution Warehouses with AnyLogic
297(2)
10.5 Key Points
299(2)
Bibliography
300(1)
11 Demand Forecasting
301(16)
11.1 Introductory Case Study
301(3)
11.2 Forecasting Process and Methods
304(4)
11.2.1 Forecasting Process and Time Horizons
304(1)
11.2.2 Forecasting Methods
305(2)
11.2.3 Forecasting Quality
307(1)
11.3 Statistical Methods
308(6)
11.3.1 Linear Regression
308(2)
11.3.2 Moving Average
310(2)
11.3.3 Simple Exponential Smoothing
312(1)
11.3.4 Double Exponential Smoothing
313(1)
11.4 Key Points and Outlook
314(3)
Bibliography
315(2)
12 Production and Material Requirements Planning
317(28)
12.1 Introductory Case-Study SIBUR: Integrated Operations and Supply Chain Planning
318(3)
12.2 Planning Horizons/MRP-II
321(1)
12.3 Sales and Operations Planning
322(6)
12.3.1 Role of Sales and Operations Planning
322(2)
12.3.2 Options for Aggregate Planning
324(1)
12.3.3 Methods for Aggregate Planning
325(3)
12.4 Sales and Production Planning with Linear Programming
328(5)
12.4.1 Problem Description
328(1)
12.4.2 Method: Linear Programming
329(2)
12.4.3 Graphical Solution
331(2)
12.5 Master Production Schedule and Rolling Planning
333(2)
12.5.1 Master Production Schedule
333(1)
12.5.2 Rolling Planning
334(1)
12.6 Material Requirements Planning
335(7)
12.6.1 Bill-of-Materials
336(2)
12.6.2 MRP Calculation
338(4)
12.7 Key Points
342(3)
Bibliography
342(3)
13 Inventory Management
345(44)
13.1 Introductory Case-Study: Amazon, Volkswagen and DELL
345(1)
13.2 Role, Functions and Types of Inventory
346(2)
13.3 Material Analysis
348(6)
13.3.1 ABC Analysis
348(3)
13.3.2 XYZ Analysis
351(3)
13.4 Deterministic Models
354(8)
13.4.1 EOQ Model
355(3)
13.4.2 EOQ Model with Discounts
358(2)
13.4.3 EPQ Model
360(1)
13.4.4 Re-order Point
361(1)
13.5 Stochastic Models
362(8)
13.5.1 Service Level and Safety Stock
362(4)
13.5.2 Single Period Systems ("Newsvendor Problem")
366(2)
13.5.3 Safety Stock and Transportation Strategy: Case DailyMaersk
368(2)
13.6 Inventory Control Policies
370(5)
13.6.1 Fixed Parameters
371(4)
13.6.2 Dynamic View
375(1)
13.7 Dynamic Lot-Sizing Models
375(6)
13.7.1 Least Unit Cost Heuristic
376(1)
13.7.2 Silver-Meal Heuristic
377(2)
13.7.3 Wagner-Whitin Model
379(2)
13.8 Aggregating Inventory
381(2)
13.9 ATP/CTP
383(2)
13.10 Key Points and Outlook
385(4)
Bibliography
387(2)
14 Routing and Scheduling
389(46)
14.1 Introductory Case Study RED SEA BUS TRAVEL
390(1)
14.2 Shortest Paths in a Network
391(6)
14.2.1 Outline of the Shortest Path Problem (SPP) in a Network
391(2)
14.2.2 Mathematical Graphs
393(1)
14.2.3 The SPP as Graph-Based Optimization Model
393(1)
14.2.4 Dijkstra's Algorithm for the Identification of a Shortest s-t-Path
394(3)
14.3 Round Trip Planning/Travelling Salesman Problem
397(12)
14.3.1 Travelling Salesman Problem
398(3)
14.3.2 A Mixed-Integer Linear Program for TSP-Modelling
401(1)
14.3.3 Heuristic Search for High Quality Round Trips
402(7)
14.4 Vehicle Routing
409(12)
14.4.1 Case Study ORION: Vehicle Routing at UPS
410(1)
14.4.2 Decision Situation Outline
411(1)
14.4.3 Current Approach for the Route Compilation
412(2)
14.4.4 Capacitated Vehicle Routing Problem
414(3)
14.4.5 The Sweep Algorithm
417(4)
14.5 Machine Scheduling
421(9)
14.5.1 The Problem of Scheduling a Machine
421(3)
14.5.2 Priority Rule-Based Scheduling
424(2)
14.5.3 Scheduling Algorithm of Moore
426(1)
14.5.4 Scheduling Two Machines in a Flow Shop
427(3)
14.5.5 Further Challenges in Machine Scheduling
430(1)
14.6 Key Points
430(5)
Bibliography
432(3)
Appendix Case-Study "Re-designing the Material Flow in a Global Manufacturing Network" 435(6)
Index 441
Prof. Dr. habil. Dmitry Ivanov is professor of Supply Chain Management at Berlin School of Economics and Law. He has published extensively in international journals and is author of the book "Adaptive Supply Chain Management" published by Springer in 2010.

Prof. Dr. Alexander Tsipoulanidis, MBA is professor for Operations Management at Berlin School of Economics and Law. He has more than fifteen years of practical experience in factory planning and operations management. His teaching and research interest focuses on lean production and operational excellence at the time of the digital transformation.

Prof. Dr. habil. Jörn Schönberger is professor and chair for transport services and logistics at Technische Universität Dresden, "Friedrich List" faculty of transportation and traffic sciences. He has published several papers in international journals and is author of the book "Model-Based Control of Logistics Processes in Volatile Environments" published by Springer in 2011.