Book: Integral Logistics Management, Fourth Edition

 

(CRC Press: Boca Raton, FL) -- The fourth edition of the book, Integral Logistics Management: Operations and Supply Chain Management Within and Across Companies, by Paul Schönsleben (CRC Press, 2011) is the most complete resource for efficient operations, effective planning, and improving on the challenges and opportunities in today’s global supply chains.

“Changes in the world outside the company alter the way that we look at problems and priorities in the company itself. This presents new challenges to company logistics and to planning and control of corresponding business processes.” Those words from the foreword of the first edition, written almost 12 years ago, are perhaps more true now than ever before.

Incorporating the elements that made previous editions popular with students and professors, the fourth edition reflects the expansion of the role of supply-chain management to include all areas of industry and all objects in the product life cycle.

New in the fourth edition:
• Assessing the economic value added of supply-chain initiatives
• Local content regulations and tariff orientation in a supply chain
• Total cost of ownership (TCO) in a global supply chain
• Facility location planning (expanded)
• Sustainable supply chains
• Supply-chain risk management
• Information management

Each chapter includes summaries, keywords, cases, and exercises. Definitions of key concepts and terms are boxed for emphasis and important principles, examples, points to remember, prescribed procedures, steps of a technique, or solutions for selected scenarios and exercises are highlighted with a gray background. Additional interactive Macromedia Flash elements are made available for download from the book’s companion website.

Magic formulas, catchwords, and simplifying theories do not stand much of a chance in logistics, operations and supply-chain management. The complex reality of day-to-day operation of companies in industry and the service sector demands highly diligent, detailed work. Covering all the critical details in this area, the book equips students and professionals for tackling the logistics, planning, and managerial challenges they’ll most certainly have to face.

Author Paul Schönsleben studied mathematics and operations research at ETH Zurich, receiving his Ph.D. in 1980. From 1983 to 1991, he was full-time professor for business informatics at the University of Neuchatel, Switzerland. Since 1991 he has been a full professor at ETH Zurich, chair of operations and supply-chain management. He is member of the board of several companies and foundations.

Chapters

Part One—Strategic and Tactical Concepts, and Fundamentals of Design

Logistics, Operations and Supply Chain Management: Basic definitions, issues, and challenges; business partner and business objects; strategies in the entrepreneurial context; performance measurement
Supply-Chain Design: Ownership and trade in a supply chain; strategic procurement and levels of cooperation; designing partnership relationships; facility location planning in production, distribution, and service networks; sustainable supply chains; supply-chain risk management
Analysis and Fundamental Concepts in Logistics and Operations Management: Elements of business process management, push and pull in the design of business processes, important techniques of business process analysis, characteristic features, fundamental concepts
The MRP II / ERP Concept: Business Processes and Methods: Business processes and tasks in planning and control, master planning—long-term planning, introduction to detailed planning and execution, logistics business methods in R&D, current state of knowledge of logistics management
Manufacturing: Characterizing lean, just-in-time, and repetitive manufacturing, the lean/just-in-time concept, the kanban technique, the cumulative production figures principle, comparison of techniques of materials management
Concepts for Product Families and One-of-a-Kind Production: Logistics characteristics of a product variety concept, adaptive techniques, generative techniques
Concepts for the Process Industry: Characteristics of the process industry, processor-oriented master and order data management, processor-oriented resource management, special features of long-term planning
Software Used for Logistics Purposes: An Introduction: Contents of logistics software packages, factors for successful implementation of logistics software, range of implementation of logistics software

Part Two—Methods of Planning and Control in Complex Logistics Systems

Demand and Demand Forecast: Overview of forecasting techniques, historically oriented techniques for constant demand and trend-shaped behavior; future-oriented techniques; using forecasts in planning
Inventory Management and Stochastic Materials Management: Stores and inventory management; usage statistics, analyses, and classifications; order point technique and safety stock calculation; batch or lot sizing; key words
Deterministic Materials Management: Demand and a variable inventory along the time axis, deterministic determination of independent and dependent demand, batch or lot sizing; analyzing results of materials requirements planning
Time Management and Scheduling: Elements of time management; buffers and queues; scheduling of orders; splitting, overlapping, and extended scheduling algorithms
Capacity Management: Fundamentals of capacity management, infinite and finite loading, rough-cut capacity planning, key words
Order Release and Control: Shop-floor control and data collection, order monitoring, distribution control
Cost Estimating, Job-Order Costing, and Activity-Based Costing: Cost, cost elements, cost structures
Representation and System Management of Logistic Objects: Order data in sales, distribution, production, and procurement; master data; extensions arising from variant-oriented and processor-oriented concepts; management of product and engineering data

Part Three—Overview of Further Management Systems in the Enterprise

Quality Management—TQM and Six Sigma: Quality concept and measurement, quality management tasks at operations level, quality management systems
Systems Engineering and Project Management
Selected Sections of Information Management: Modeling information systems

About The Author