{"product_id":"supply-chain-management-9781119702863","title":"Supply Chain Management","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eLike no other text on the subject, \u003ci\u003eSupply Chain Management: A Global Perspective \u003c\/i\u003eprovides a balanced and integrated perspective of both the foundational principles and pragmatic, business-oriented functions of SCM. Highlighting the holistic and interconnected nature of SCM, this comprehensive volume addresses supply chain strategy, design, planning, controlling, management and more. The text features numerous real-world business examples that illustrate SCM best practices while helping students understand the complexities of SCM decision making.\u003c\/p\u003e \u003cp\u003eNow in its third edition, this well-respected text provides a global focus, cross-functional approach, and strong pedagogy. Clear, student-friendly chapters contain discussion questions, case studies, and examples designed to develop managerial thinking, explore key managerial issues, and bring difficult concepts to life. Detailed yet accessible coverage of topics including operations management, sourcing, logistics, forecastin\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 \u003c\/b\u003e\u003cb\u003eIntroduction To Supply Chain Management 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is Supply Chain Management (SCM)? 3\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: Amazon.com 9\u003c\/p\u003e \u003cp\u003eThe Boundary-Spanning Nature of SCM 10\u003c\/p\u003e \u003cp\u003eThe Rise of SCM 13\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: Dell Computer Corporation 14\u003c\/p\u003e \u003cp\u003eCharacteristics of a Competitive Supply Chain 14\u003c\/p\u003e \u003cp\u003eGlobal Insights Box: Zara 15\u003c\/p\u003e \u003cp\u003eTrends in SCM 16\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: Wal-Mart 17\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box: Tesco 18\u003c\/p\u003e \u003cp\u003eManagerial Insights Box—Outsourcing Innovation: Goldcorp Inc. 22\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 23\u003c\/p\u003e \u003cp\u003eCareers in SCM and Professional Organizations 23\u003c\/p\u003e \u003cp\u003eChapter Highlights 24\u003c\/p\u003e \u003cp\u003eKey Terms 24\u003c\/p\u003e \u003cp\u003eDiscussion Questions 24\u003c\/p\u003e \u003cp\u003eCase Study: McNulty’s Muscular Materials (MMM) 25\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: FutureChain 25\u003c\/p\u003e \u003cp\u003eBibliography 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 \u003c\/b\u003e\u003cb\u003eSupply Chain Strategy 27\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is Supply Chain Strategy? 29\u003c\/p\u003e \u003cp\u003eAchieving a Competitive Advantage 30\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: Wal-Mart 31\u003c\/p\u003e \u003cp\u003eGlobal Insights Box: Toyota Motor Corporation 33\u003c\/p\u003e \u003cp\u003eBuilding Blocks of Supply Chain Strategy 33\u003c\/p\u003e \u003cp\u003eManagerial Insights Box—Outsourcing Alliances: Li \u0026amp; Fung Ltd. 39\u003c\/p\u003e \u003cp\u003eSupply Chain Strategic Design 40\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: Barlean’s Organic Oils 43\u003c\/p\u003e \u003cp\u003eStrategic Considerations 44\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box: Amazon 45\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 46\u003c\/p\u003e \u003cp\u003eProductivity as a Measure of Competitiveness 46\u003c\/p\u003e \u003cp\u003eChapter Highlights 48\u003c\/p\u003e \u003cp\u003eKey Terms 48\u003c\/p\u003e \u003cp\u003eDiscussion Questions 49\u003c\/p\u003e \u003cp\u003eProblems 49\u003c\/p\u003e \u003cp\u003eCase Study: Surplus Styles 49\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: Whole Goods 50\u003c\/p\u003e \u003cp\u003eBibliography 50\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 \u003c\/b\u003e\u003cb\u003eNetwork and System Design 51\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Supply Chain System 53\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box—Moving to Process Thinking: LG Electronics 56\u003c\/p\u003e \u003cp\u003eUnderstanding Processes: Theory of Constraints (TOC) 56\u003c\/p\u003e \u003cp\u003eIntegration of Supply Chain Processes 61\u003c\/p\u003e \u003cp\u003eDesigning Supply Chain Networks 62\u003c\/p\u003e \u003cp\u003eManagerial Insights Box: Coca-Cola 63\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box: Segmentation in Retail 66\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 66\u003c\/p\u003e \u003cp\u003eEnterprise Resource Planning (ERP) 66\u003c\/p\u003e \u003cp\u003eChapter Highlights 69\u003c\/p\u003e \u003cp\u003eKey Terms 69\u003c\/p\u003e \u003cp\u003eDiscussion Questions 69\u003c\/p\u003e \u003cp\u003eProblems 70\u003c\/p\u003e \u003cp\u003eCase Study: Boca Electronics LLC 70\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: J-Consulting 71\u003c\/p\u003e \u003cp\u003eBibliography 71\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 \u003c\/b\u003e\u003cb\u003eMarketing 72\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is Marketing? 74\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: Gap Inc. 75\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box—Accommodating Changing Customer Preferences: PepsiCo 77\u003c\/p\u003e \u003cp\u003eCustomer-Driven Supply Chains 78\u003c\/p\u003e \u003cp\u003eManagerial Insights Box—Understanding the Customer: Target 80\u003c\/p\u003e \u003cp\u003eDelivering Value to Customers 82\u003c\/p\u003e \u003cp\u003eGlobal Insights Box—Global Customer Service: Coca-Cola Japan 86\u003c\/p\u003e \u003cp\u003eChannels of Distribution 87\u003c\/p\u003e \u003cp\u003eManagerial Insights Box—Changing the Distribution Channel: Steinway Pianos 89\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box: Oasis 91\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 92\u003c\/p\u003e \u003cp\u003eChapter Highlights 92\u003c\/p\u003e \u003cp\u003eKey Terms 92\u003c\/p\u003e \u003cp\u003eDiscussion Questions 93\u003c\/p\u003e \u003cp\u003eCase Study: Gizmo 93\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: Your Friend Mark 94\u003c\/p\u003e \u003cp\u003eBibliography 94\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 \u003c\/b\u003e\u003cb\u003eOperations Management 95\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is Operations Management (OM)? 97\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: Wal-Mart 100\u003c\/p\u003e \u003cp\u003eProduct Design 101\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box: Honda 102\u003c\/p\u003e \u003cp\u003eGlobal Insights Box: Ryanair 103\u003c\/p\u003e \u003cp\u003eProcess Design 107\u003c\/p\u003e \u003cp\u003eManagerial Insights Box—A New Manufacturing Process: Rapid Manufacturing 110\u003c\/p\u003e \u003cp\u003eFacility Layout 110\u003c\/p\u003e \u003cp\u003eManagerial Insights Box: Mazzi’s versus Totino’s Pizza 112\u003c\/p\u003e \u003cp\u003eLine Balancing in Product Layouts 112\u003c\/p\u003e \u003cp\u003eProcess Automation 116\u003c\/p\u003e \u003cp\u003eGlobal Insights Box: Kuka Robotics Corp. 116\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 117\u003c\/p\u003e \u003cp\u003eChapter Highlights 118\u003c\/p\u003e \u003cp\u003eKey Terms 118\u003c\/p\u003e \u003cp\u003eDiscussion Questions 118\u003c\/p\u003e \u003cp\u003eProblems 119\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: Song’s Mumbai Restaurant 119\u003c\/p\u003e \u003cp\u003eBibliography 120\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 \u003c\/b\u003e\u003cb\u003eSourcing 121\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is Sourcing? 123\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box—Co-Creation: The Auto Industry 126\u003c\/p\u003e \u003cp\u003eThe Sourcing Function 126\u003c\/p\u003e \u003cp\u003eSourcing and SCM 128\u003c\/p\u003e \u003cp\u003eGlobal Insights Box—Outsourcing Analytics: Accenture 129\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box—Risk Management: IBM 130\u003c\/p\u003e \u003cp\u003eManagerial Insights Box—Outsourcing Alliances: Roots 133\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box: Fedex 135\u003c\/p\u003e \u003cp\u003eMeasuring Sourcing Performance 135\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 136\u003c\/p\u003e \u003cp\u003eChapter Highlights 137\u003c\/p\u003e \u003cp\u003eKey Terms 137\u003c\/p\u003e \u003cp\u003eDiscussion Questions 137\u003c\/p\u003e \u003cp\u003eProblems 138\u003c\/p\u003e \u003cp\u003eClass Exercise: Toyota 138\u003c\/p\u003e \u003cp\u003eCase Study: Snedeker Global Cruises 138\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: J\u0026amp;G 139\u003c\/p\u003e \u003cp\u003eBibliography 139\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 \u003c\/b\u003e\u003cb\u003eLogistics 141\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is Logistics? 143\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: United Parcel Service (UPS) 144\u003c\/p\u003e \u003cp\u003eLogistics Tasks 149\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box—Autonomous Vehicles: Uber 149\u003c\/p\u003e \u003cp\u003eTransportation 151\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: Sysco 152\u003c\/p\u003e \u003cp\u003eGlobal Insights Box—Rail Service Between China and Europe: “Northeast Passage” 153\u003c\/p\u003e \u003cp\u003eWarehousing 154\u003c\/p\u003e \u003cp\u003eThird-Party Logistics (3PL) Providers 157\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 157\u003c\/p\u003e \u003cp\u003eChapter Highlights 157\u003c\/p\u003e \u003cp\u003eKey Terms 158\u003c\/p\u003e \u003cp\u003eDiscussion Questions 158\u003c\/p\u003e \u003cp\u003eProblems 158\u003c\/p\u003e \u003cp\u003eCase Study: Strategic Solutions Inc. 159\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: Morning Foods Inc. 160\u003c\/p\u003e \u003cp\u003eBibliography 161\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 \u003c\/b\u003e\u003cb\u003eForecasting and Demand Planning 162\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is Forecasting? 164\u003c\/p\u003e \u003cp\u003eManagerial Insights Box: Forecasting Beyond Widgets 166\u003c\/p\u003e \u003cp\u003eGlobal Insights Box—Matching Supply and Demand: World Health Organization (WHO) 167\u003c\/p\u003e \u003cp\u003eThe Forecasting Process 168\u003c\/p\u003e \u003cp\u003eManagerial Insights Box: Predictive Analytics 170\u003c\/p\u003e \u003cp\u003eTypes of Forecasting Methods 171\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box—Improving Weather Forecasting: NOAA 174\u003c\/p\u003e \u003cp\u003eTime Series Forecasting Models 174\u003c\/p\u003e \u003cp\u003eCausal Models 180\u003c\/p\u003e \u003cp\u003eMeasuring Forecast Accuracy 183\u003c\/p\u003e \u003cp\u003eCollaborative Forecasting and Demand Planning 185\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box—Using Collaborative Technology: Li \u0026amp; Fung 186\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 188\u003c\/p\u003e \u003cp\u003eChapter Highlights 188\u003c\/p\u003e \u003cp\u003eKey Terms 188\u003c\/p\u003e \u003cp\u003eDiscussion Questions 189\u003c\/p\u003e \u003cp\u003eProblems 189\u003c\/p\u003e \u003cp\u003eCase Study: Speedy Automotive 190\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions With Data Analytics: TechGiant 192\u003c\/p\u003e \u003cp\u003eBibliography 192\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 \u003c\/b\u003e\u003cb\u003eInventory Management 193\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBasics of Inventory Management 195\u003c\/p\u003e \u003cp\u003eManagerial Insights Box—Service Inventory: Zoots 196\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: John Deere \u0026amp; Company 200\u003c\/p\u003e \u003cp\u003eInventory Systems 200\u003c\/p\u003e \u003cp\u003eFixed-Order Quantity Systems 203\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box—Analytics Driven Inventory: Dell 209\u003c\/p\u003e \u003cp\u003eFixed-Time Period Systems 210\u003c\/p\u003e \u003cp\u003eIndependent versus Dependent Demand 212\u003c\/p\u003e \u003cp\u003eGlobal Insights Box: Intel Corporation 212\u003c\/p\u003e \u003cp\u003eManaging Supply Chain Inventory 213\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 216\u003c\/p\u003e \u003cp\u003eChapter Highlights 216\u003c\/p\u003e \u003cp\u003eKey Terms 217\u003c\/p\u003e \u003cp\u003eDiscussion Questions 217\u003c\/p\u003e \u003cp\u003eProblems 218\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions With Data Analytics: Colorworld 218\u003c\/p\u003e \u003cp\u003eBibliography 219\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 \u003c\/b\u003e\u003cb\u003eLean Systems and Six-Sigma Quality 220\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is Lean? 222\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box: General Electric 224\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: U.S. Army 225\u003c\/p\u003e \u003cp\u003eLean Production 226\u003c\/p\u003e \u003cp\u003eGlobal Insights Box: UPS 226\u003c\/p\u003e \u003cp\u003eRespect for People 228\u003c\/p\u003e \u003cp\u003eTotal Quality Management (TQM) 230\u003c\/p\u003e \u003cp\u003eManagerial Insights Box: Lean Tools in the Popular Press 233\u003c\/p\u003e \u003cp\u003eStatistical Quality Control (SQC) 234\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: Intel Corporation 235\u003c\/p\u003e \u003cp\u003eSix Sigma Quality 241\u003c\/p\u003e \u003cp\u003eThe Lean Six Sigma Supply Chain 243\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 245\u003c\/p\u003e \u003cp\u003eChapter Highlights 246\u003c\/p\u003e \u003cp\u003eKey Terms 246\u003c\/p\u003e \u003cp\u003eDiscussion Questions 246\u003c\/p\u003e \u003cp\u003eProblems 247\u003c\/p\u003e \u003cp\u003eCase Study: Buckeye Technologies 248\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: Calloway Inc. 248\u003c\/p\u003e \u003cp\u003eBibliography 249\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 \u003c\/b\u003e\u003cb\u003eSupply Chain Relationship Management 250\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSupply Chain Relationships 252\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box—The Network Effect: Amazon 255\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box—Open Innovation: Proctor \u0026amp; Gamble 257\u003c\/p\u003e \u003cp\u003eThe Role of Trust 258\u003c\/p\u003e \u003cp\u003eGlobal Insights Box—Growth Through Partnership: Coca-Cola in Africa 262\u003c\/p\u003e \u003cp\u003eManaging Conflict and Dispute Resolution 262\u003c\/p\u003e \u003cp\u003eManagerial Insights Box: Commodity Swapping 266\u003c\/p\u003e \u003cp\u003eNegotiation Concepts, Styles, and Tactics 266\u003c\/p\u003e \u003cp\u003eRelationship Management in Practice 271\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 273\u003c\/p\u003e \u003cp\u003eChapter Highlights 274\u003c\/p\u003e \u003cp\u003eKey Terms 274\u003c\/p\u003e \u003cp\u003eDiscussion Questions 274\u003c\/p\u003e \u003cp\u003eCase Study: Lucid v. Black Box 274\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: Buckeye Deliveries 275\u003c\/p\u003e \u003cp\u003eBibliography 276\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 \u003c\/b\u003e\u003cb\u003eGlobal Supply Chain Management 277\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGlobal Supply Chain Management 279\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box—Challenges of Global Culture: Wal-Mart 281\u003c\/p\u003e \u003cp\u003eGlobal Market Challenges 283\u003c\/p\u003e \u003cp\u003eManagerial Insights Box: Coca-Cola’s China Branding Challenge 285\u003c\/p\u003e \u003cp\u003eGlobal Infrastructure Design 287\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box—Supplier Risk: Cisco 288\u003c\/p\u003e \u003cp\u003eCost Considerations 289\u003c\/p\u003e \u003cp\u003eManagerial Insights Box—Beyond Cost: BMW 290\u003c\/p\u003e \u003cp\u003ePolitical and Economic Factors 291\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 293\u003c\/p\u003e \u003cp\u003eChapter Highlights 294\u003c\/p\u003e \u003cp\u003eKey Terms 294\u003c\/p\u003e \u003cp\u003eDiscussion Questions 294\u003c\/p\u003e \u003cp\u003eCase Study: Wú’s Brew Works 294\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: Mika Enterprises 299\u003c\/p\u003e \u003cp\u003eBibliography 299\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 \u003c\/b\u003e\u003cb\u003eSustainable Supply Chain Management 300\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is Sustainability? 302\u003c\/p\u003e \u003cp\u003eGlobal Insights Box: The Great Pacific Garbage Patch 303\u003c\/p\u003e \u003cp\u003eSupply Chain Leader’s Box: Fibria Celulose 305\u003c\/p\u003e \u003cp\u003eEvaluating Sustainability in SCM 309\u003c\/p\u003e \u003cp\u003eBig Data Analytics Box: Coca-Cola 317\u003c\/p\u003e \u003cp\u003eSustainability in Practice 319\u003c\/p\u003e \u003cp\u003eManagerial Insights Box: Carbon Fiber Auto Parts 320\u003c\/p\u003e \u003cp\u003eEmpowering Entrepreneurs Box 323\u003c\/p\u003e \u003cp\u003eChapter Highlights 323\u003c\/p\u003e \u003cp\u003eKey Terms 324\u003c\/p\u003e \u003cp\u003eDiscussion Questions 324\u003c\/p\u003e \u003cp\u003eCase Study: Haitian Oil 324\u003c\/p\u003e \u003cp\u003eCase Study: Making Decisions with Data Analytics: Wellington’s Coffee House 325\u003c\/p\u003e \u003cp\u003eBibliography 326\u003c\/p\u003e \u003cp\u003e\u003ci\u003eAppendix \u003c\/i\u003eThe Standard Normal Distribution A-1\u003c\/p\u003e \u003cp\u003eGlossary G-1\u003c\/p\u003e \u003cp\u003eIndex I-1\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407125422423,"sku":"9781119702863","price":119.65,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119702863.jpg?v=1730498268","url":"https:\/\/bookcurl.com\/products\/supply-chain-management-9781119702863","provider":"Book Curl","version":"1.0","type":"link"}