Mauergauz Advanced Planning and Scheduling in Manufacturing and Supply Chains

1. Auflage 2016
ISBN: 978-3-319-27523-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 584 Seiten, eBook

This book is a guide to modern production planning methods based on new scientific achievements and various practical planning rules of thumb. Several numerical examples illustrate most of the calculation methods, while the text includes a set of programs for calculating production schedules and an example of a cloud-based enterprise resource planning (ERP) system. Despite the relatively large number of books dedicated to this topic, Advanced Planning and Scheduling is the first book of its kind to feature such a wide range of information in a single work, a fact that inspired the author to write this book and publish an English translation. This work consists of two parts, with the first part addressing the design of reference and mathematical models, bottleneck models and multi-criteria models and presenting various sample models. It describes demand-forecasting methods and also includes considerations for aggregating forecasts. Lastly, it provides reference information on methods for data stocking and sorting. The second part of the book analyzes various stock planning models and the rules of safety stock calculation, while also considering the stock traffic dynamics in supply chains. Various batch computation methods are described in detail, while production planning is considered on several levels, including supply planning for customers, master planning, and production scheduling. This book can be used as a reference and manual for current planning methods. It is aimed at production planning department managers, company information system specialists, as well as scientists and PhD students conducting research in production planning. It will also be a valuable resource for students at universities of applied sciences.

Zielgruppe

Research

Autoren/Hrsg.

Mauergauz, Yuri

Inhaltsverzeichnis

1;Preface to the English Edition;6
2;Preface to the Russian Edition;8
3;Annotation;12
3.1;Advanced Planning and Scheduling (APandS) in Production and Supply Chains;12
4;Contents;14
5;About the Author;24
6;Part I: Modeling;25
6.1;1: Reference Model;26
6.1.1;1.1 Modelling of Business Process;26
6.1.2;1.2 Concept of Reference Model;28
6.1.2.1;1.2.1 Reference Models in Supply Chains;29
6.1.2.2;1.2.2 Reference Modelling Methodology;30
6.1.3;1.3 Production Description;32
6.1.3.1;1.3.1 Basic Types of Production;32
6.1.3.2;1.3.2 Production Scale and Strategy;36
6.1.4;1.4 Advanced Planning in IT Systems;38
6.1.4.1;1.4.1 Planning in IT Systems;38
6.1.4.2;1.4.2 Popularity and Effects of Advanced Planning;42
6.1.5;1.5 IT System Interaction Standards;44
6.1.6;1.6 Quality Parameters in Supply Chains;47
6.1.6.1;1.6.1 Markets and Their Main Properties;48
6.1.6.2;1.6.2 Quality Parameters and Different Supply Chain Levels;49
6.1.6.3;1.6.3 Balanced Scorecard;51
6.1.7;1.7 Utility of Quality Parameters;54
6.1.7.1;1.7.1 Concept of Utility;54
6.1.7.2;1.7.2 Typical Utility Functions;57
6.1.7.3;1.7.3 Utility Functions in Business Process Quality Evaluations;60
6.1.8;References;65
6.2;2: Mathematical Models;66
6.2.1;2.1 Simplest Planning Models;66
6.2.1.1;2.1.1 Classical Supply Management Model;66
6.2.1.2;2.1.2 Continuous Linear Optimization Model;68
6.2.2;2.2 Correlations Between Mathematical and Reference Models;75
6.2.2.1;2.2.1 Main Criteria and Constraints;75
6.2.2.2;2.2.2 Standard Classification of Planning Optimization Models;76
6.2.2.3;2.2.3 Production Scale and Plan Hierarchy in Classification;78
6.2.3;2.3 Priority Rules;81
6.2.3.1;2.3.1 Simple Rules;81
6.2.3.2;2.3.2 Some Useful Theorems;85
6.2.3.3;2.3.3 Combined Priority Rules;85
6.2.4;2.4 Production Intensity and Utility of Orders;87
6.2.4.1;2.4.1 Production Intensity;88
6.2.4.2;2.4.2 Dynamic Utility Function of Orders;93
6.2.5;2.5 More Complex Models of Linear Optimization;97
6.2.5.1;2.5.1 Integer Linear Optimization Model;97
6.2.5.2;2.5.2 Integer Linear Optimization Models with Binary Variables;98
6.2.6;2.6 Fixed Job Sequence Models;101
6.2.6.1;2.6.1 Branch-and-Bound Method with Minimum Cumulative Tardiness Tw;102
6.2.6.2;2.6.2 Branch-and-Bound Method with Maximum Average Utility;104
6.2.7;References;110
6.3;3: Production Bottlenecks Models;111
6.3.1;3.1 Theory of Constraints;111
6.3.1.1;3.1.1 Fundamentals of Theory of Constraints;111
6.3.1.2;3.1.2 Bottleneck Operation Planning;114
6.3.1.3;3.1.3 Planning for Buffers, Ropes, and Non-bottleneck Machines;117
6.3.1.4;3.1.4 Simple Example of Theory of Constraints in Application;119
6.3.1.5;3.1.5 Theory of Constraints in Process Manufacturing;120
6.3.1.6;3.1.6 Review of TOC Applications;122
6.3.2;3.2 Theory of Logistic Operating Curves;123
6.3.2.1;3.2.1 Production (Logistics) Variables;123
6.3.2.2;3.2.2 Some Notions Used in Queuing Theory;127
6.3.2.3;3.2.3 Plotting Logistic Operating Curves;129
6.3.2.4;3.2.4 Main Properties of Logistic Curves;132
6.3.3;3.3 Application of Logistic Operating Curves;132
6.3.3.1;3.3.1 Logistic Positioning;132
6.3.3.2;3.3.2 Bottleneck Analysis and Improvements;133
6.3.3.3;3.3.3 Evaluation of Overall Production Performance;134
6.3.4;3.4 Optimal Lot Sizing for Production Bottlenecks;138
6.3.4.1;3.4.1 Lot Sizing Heuristic;138
6.3.4.2;3.4.2 Analysis of Heuristic Solutions;141
6.3.5;3.5 Hierarchical Approach to Machinery Load Management;144
6.3.5.1;3.5.1 Principles of Workload Control Concept;145
6.3.5.2;3.5.2 Example of Application of Controlled Load Approach;146
6.3.6;References;148
6.4;4: Multi-criteria Models and Decision-Making;149
6.4.1;4.1 Basic Concepts in Multi-criteria Optimization Theory;149
6.4.1.1;4.1.1 Definition of Multi-criteria Optimization Problems;149
6.4.1.2;4.1.2 Pareto Optimality;152
6.4.1.3;4.1.3 Main Methods of Solving Multi-criteria Planning Problems;154
6.4.1.4;4.1.4 Analytical Method of Constructing a Trade-Off Curve;158
6.4.2;4.2 Optimized Multi-criteria Lot Sizing;160
6.4.2.1;4.2.1 Lot Sizing Based on Costs and Equipment;160
6.4.2.2;4.2.2 Analytical Lot Sizing with Two Criteria: Setup Time and Cost;162
6.4.3;4.3 Example of Multi-scheduling Problem;165
6.4.3.1;4.3.1 Special epsi-Neighbourhood of Efficiency Points;166
6.4.3.2;4.3.2 Solving Algorithm;167
6.4.4;4.4 Methods of Decision-Making Theory in Planning Problems;172
6.4.4.1;4.4.1 Some Information from the Decision Making Theory;172
6.4.4.2;4.4.2 Example of the Planning Problem Requiring Decision Making;175
6.4.4.3;4.4.3 Decision-Making Based on the Guaranteed Result Principle;178
6.4.4.4;4.4.4 Optimistic Decision-Making;179
6.4.5;4.5 Applications of Complex Decision-Making Methods;180
6.4.5.1;4.5.1 Hurwitz Principle;180
6.4.5.2;4.5.2 Savage Principle;181
6.4.5.3;4.5.3 Shifted Ideal Method;182
6.4.6;References;184
6.5;5: Data for Planning;185
6.5.1;5.1 Composition of the Data Used for Planning;185
6.5.1.1;5.1.1 Archives of Design-Engineering Documentation and Orders;185
6.5.1.2;5.1.2 Reference Data and Standards;189
6.5.1.3;5.1.3 Databases of Transactional IT Systems;191
6.5.1.4;5.1.4 Decision Support Databases;192
6.5.1.5;5.1.5 Knowledge Bases;193
6.5.2;5.2 Data Storage and Management;196
6.5.2.1;5.2.1 Relational Databases;196
6.5.2.2;5.2.2 Concept of Object-Oriented Databases;198
6.5.2.3;5.2.3 Database Management Systems;199
6.5.2.4;5.2.4 Tiered Data Storage;200
6.5.2.5;5.2.5 Distributed Databases;201
6.5.2.6;5.2.6 Service Oriented Architecture of IT Systems;203
6.5.2.7;5.2.7 On-Line Analytical Processing;205
6.5.3;5.3 Information Exchange;208
6.5.3.1;5.3.1 Internal Data Communication;208
6.5.3.2;5.3.2 Data Transfer Between Enterprises;209
6.5.3.3;5.3.3 Information Exchange in Different Types of Cooperation;211
6.5.3.4;5.3.4 Information Exchange Automation;213
6.5.3.5;5.3.5 Use of Cloud Environment;216
6.5.4;References;218
6.6;6: Demand Forecasting;220
6.6.1;6.1 Demand Modelling Based on Time Series Analysis;220
6.6.2;6.2 Main Methods of Forecasting;222
6.6.2.1;6.2.1 Moving Average Method;222
6.6.2.2;6.2.2 Exponentially Smoothing Forecasting;224
6.6.2.3;6.2.3 Trend Adjusted Exponential Smoothing;225
6.6.2.4;6.2.4 Trend and Seasonality Adjusted Exponential Smoothing;227
6.6.3;6.3 Demand Aggregation;229
6.6.4;6.4 Aggregated Demand Forecasting;231
6.6.5;References;235
6.7;7: Examples of Advanced Planning Models;236
6.7.1;7.1 Joint Operation Model of APS System and ERP System from SAP R/3;236
6.7.1.1;7.1.1 Main Business Process Attributes in Various Industries;237
6.7.1.2;7.1.2 Software Modules for Planning Solutions;239
6.7.1.3;7.1.3 Planning Modules Interaction;240
6.7.2;7.2 Reference Model of Production Planning for Instrument Engineering Plant;242
6.7.2.1;7.2.1 Initial Planning Status Analysis;242
6.7.2.2;7.2.2 Decision Support Database;244
6.7.3;7.3 Mathematical Model in Chemical Industry;247
6.7.3.1;7.3.1 Analytical Structure of Model;247
6.7.3.2;7.3.2 Objective Function and Constraints;250
6.7.3.3;7.3.3 Some Results of Modelling;254
6.7.4;7.4 Rapid Supply Chain Reference Model in Clothing Industry;255
6.7.5;7.5 Schedule Model for a Machine Shop;258
6.7.5.1;7.5.1 Schedule Model with Specified Processing Stages;259
6.7.5.2;7.5.2 Optimality Criteria and Constraints;260
6.7.6;7.6 Multi-stage Logistics Chain Model;262
6.7.6.1;7.6.1 Some Notions in Logistics Chain Modelling;262
6.7.6.2;7.6.2 Dynamic Logistics Chain Optimization Model in Multi-stage Production;262
6.7.7;References;265
7;Part II: Planning Processes;266
7.1;8: Single-Echelon Inventory Planning;267
7.1.1;8.1 Inventory Types and Parameters;267
7.1.2;8.2 Inventory Management Models;268
7.1.2.1;8.2.1 Model with Fixed Quantity of Order;269
7.1.2.2;8.2.2 Model with Fixed Reorder Cycle;270
7.1.2.3;8.2.3 Two-Tier Inventory Management Model;271
7.1.2.4;8.2.4 Benchmarking of Inventory Management Models;273
7.1.2.5;8.2.5 Kanban Inventory Management Model;274
7.1.3;8.3 Inventory Management Model Under Uncertainty;276
7.1.3.1;8.3.1 Customer Service Level;276
7.1.3.2;8.3.2 Shortages Permitted Inventory Management Model;277
7.1.3.3;8.3.3 Demand Distribution Functions;278
7.1.3.4;8.3.4 Newsvendor Problem;280
7.1.4;8.4 Inventory Management Using Logistic Operating Curves;282
7.1.4.1;8.4.1 Storage Curves and Their Applications;282
7.1.4.2;8.4.2 Finished Product Inventory Sizing to Optimize the Overall Production Performance;284
7.1.5;8.5 Safety Stock Sizing;285
7.1.5.1;8.5.1 Calculation of Safety Stock with Random Demand;286
7.1.5.2;8.5.2 Sizing of Safety Stock with Two Random Variables;287
7.1.5.3;8.5.3 Sizing of Safety Stock with Three Random Variables;289
7.1.6;References;290
7.2;9: Supply Chain Inventory Dynamics;292
7.2.1;9.1 Stock Distribution Planning in the Chain;292
7.2.1.1;9.1.1 DRP Technique;292
7.2.1.2;9.1.2 Regular Maintenance of DRP Tables;295
7.2.1.3;9.1.3 Parallel Multi-product Planning;297
7.2.1.4;9.1.4 Inventory Dynamics at Long Lead Cycles;298
7.2.2;9.2 Supply Chain Fluctuations;300
7.2.2.1;9.2.1 Bullwhip Effect;300
7.2.2.2;9.2.2 Bullwhip Effect Factors;303
7.2.2.3;9.2.3 Methods of Reducing Supply Chain Fluctuations;305
7.2.3;9.3 Application of Logistics Operating Curves in Supply Chains;308
7.2.4;9.4 Inventory Echelon Accounting;311
7.2.4.1;9.4.1 Inventory Echeloning;311
7.2.4.2;9.4.2 Sequential Supply Chain;312
7.2.4.3;9.4.3 Supply Chain with Distribution;316
7.2.4.4;9.4.4 Dependency Between Echelon Stock and Number of Links of One Level in the Supply Chain;318
7.2.5;9.5 Inventory Planning in Spare Parts Supply Chains;319
7.2.5.1;9.5.1 METRIC Method in Spare Parts Supplies;320
7.2.5.2;9.5.2 Inventory Planning for Central Spare Parts Storage Using (R,Q) Model;324
7.2.6;9.6 Coordinated Planning Between Two Supply Chain Members;327
7.2.7;References;330
7.3;10: Planning of Supplies to Consumers;331
7.3.1;10.1 Sales and Operation Planning;331
7.3.1.1;10.1.1 Interrelation Between Various Planning Directions with Sales and Operations Plan;331
7.3.1.2;10.1.2 Sales and Operation Planning Methods;333
7.3.2;10.2 Sales and Operation Plan Optimization Using Linear Programming;336
7.3.2.1;10.2.1 Single Aggregated Product Group Optimization;337
7.3.2.2;10.2.2 More Complex Case of Optimization of Sales and Operations Plan;340
7.3.3;10.3 Customized Reservation of Products;344
7.3.3.1;10.3.1 Business Process of Response to New Orders;344
7.3.3.2;10.3.2 Arrangement of Orders;345
7.3.3.3;10.3.3 Running ATP Process;347
7.3.4;10.4 Agreement of Order Specifications with Customers;349
7.3.4.1;10.4.1 Problem Criteria and Their Evaluation;349
7.3.4.2;10.4.2 Selection of Ordered Product Analogues;350
7.3.5;References;356
7.4;11: Lot Sizing;357
7.4.1;11.1 Classification of Lot-Sizing Problems;357
7.4.1.1;11.1.1 Lot Properties and Main Problems;357
7.4.1.2;11.1.2 Lot-Sizing Problems with No Capacity Limits;359
7.4.1.3;11.1.3 Lot-Sizing Problems with Limited Capacities and Large Planning Periods;360
7.4.1.4;11.1.4 Lot-Sizing Problems with Limited Capacities and Small Planning Periods;361
7.4.2;11.2 Constant Demand Lot-Sizing Problems;362
7.4.2.1;11.2.1 Models with Gradual Inventory Replenishment;363
7.4.2.2;11.2.2 Model Applicable to the Machinery Industry If No Cost Information Is Available;365
7.4.2.3;11.2.3 Three-Parameter Models for Machinery Industry;367
7.4.2.4;11.2.4 Lot Sizing at Discounted Prices;369
7.4.3;11.3 Lot Sizing at Variable Demand and Limited Planning Horizon;370
7.4.3.1;11.3.1 Exact Solution;371
7.4.3.2;11.3.2 Heuristic Silver-Meal Algorithm;374
7.4.3.3;11.3.3 Part Period Balancing;377
7.4.3.4;11.3.4 Groff´s Heuristic Rule;378
7.4.3.5;11.3.5 Period Order Quantity;380
7.4.4;11.4 Lot Sizing with Constraints;381
7.4.5;11.5 Multi-product Deliveries and Orders;384
7.4.5.1;11.5.1 Optimal Multi-product Lot Sizing;384
7.4.5.2;11.5.2 Multi-product Deliveries over Multiple Periods;386
7.4.5.3;11.5.3 Power-of-Two Policies for Multi-product Deliveries;388
7.4.6;References;389
7.5;12: Production Planning;391
7.5.1;12.1 Master Production Planning;391
7.5.1.1;12.1.1 Master Planning as Product Tables;392
7.5.1.2;12.1.2 Group Master Planning;397
7.5.1.3;12.1.3 Master Production Plan Optimization;399
7.5.2;12.2 Material Requirement Planning;401
7.5.2.1;12.2.1 Production Lot Duration;402
7.5.2.2;12.2.2 Optimal Production Lot Sizing;404
7.5.2.3;12.2.3 Analysis of the Material Requirement Plan;408
7.5.3;12.3 Project-Based Planning;409
7.5.3.1;12.3.1 Critical Path Method;409
7.5.3.2;12.3.2 Cost Optimization at Various Project Stages;412
7.5.4;12.4 Stability of Planning;416
7.5.4.1;12.4.1 Quantitative Evaluation of Planning Stability;417
7.5.4.2;12.4.2 Methods of Planning Stability Improvement;419
7.5.5;References;422
7.6;13: Shop Floor Scheduling: Single-Stage Problems;423
7.6.1;13.1 Single-Machine Scheduling with Minimized Overdue Penalties;423
7.6.1.1;13.1.1 Schedule with the Minimum of Delayed Jobs;424
7.6.1.2;13.1.2 Scheduling with Minimum Weighted Tardiness per Each Job;424
7.6.1.3;13.1.3 Schedule Optimization with Earliness/Tardiness;427
7.6.2;13.2 Common Shipment Date Scheduling;428
7.6.2.1;13.2.1 Fixed Date Schedule Optimization;428
7.6.2.2;13.2.2 More Complex Cases of Scheduling with Fixed Date;430
7.6.2.3;13.2.3 Selection of Optimal Midpoint Date for Shipping;431
7.6.3;13.3 Some Other Scheduling Problems for Jobs with Fixed Processing Time;433
7.6.3.1;13.3.1 Schedules for the Case of Several Jobs, the Part of Which Has the Preset Sequence;433
7.6.3.2;13.3.2 Scheduling of Jobs with Different Arrival Time;435
7.6.3.3;13.3.3 Scheduling of Jobs with Different Arrival Time and Different Shipment Time;436
7.6.3.4;13.3.4 Job Sequence-Based Setup Time Scheduling;437
7.6.4;13.4 Periodic Scheduling with Lots of Economic Sizes;439
7.6.4.1;13.4.1 Equal-Time Schedules for All Products;439
7.6.4.2;13.4.2 Variable-Time Schedules for Different Products;441
7.6.5;13.5 Group Technology in Schedules for a Single Machine;444
7.6.5.1;13.5.1 Group Scheduling for Series Batches;445
7.6.5.2;13.5.2 Group Scheduling for Parallel Batches with Minimum Tardiness Criterion;448
7.6.5.3;13.5.3 Group Scheduling for Parallel Batches with Maximum Average Utility Criterion;450
7.6.6;13.6 Parallel Machine Scheduling;458
7.6.6.1;13.6.1 Identical Parallel Machine Scheduling;458
7.6.6.2;13.6.2 Schedules for Parallel Unrelated Machines;460
7.6.7;References;463
7.7;14: Shop Floor Scheduling: Multi-stage Problems;464
7.7.1;14.1 Synchronized Flowshop Production;464
7.7.1.1;14.1.1 Discrete Product Lines;465
7.7.1.2;14.1.2 Lines for Process Production;466
7.7.1.3;14.1.3 Flexible Flow Lines;467
7.7.2;14.2 Automated Assembly Lines;469
7.7.2.1;14.2.1 Scheduling for Unpaced Assembly Lines;470
7.7.2.2;14.2.2 Scheduling for Paced Assembly Line;473
7.7.2.3;14.2.3 Scheduling for Mixed Assembly Lines;477
7.7.3;14.3 Unsynchronized Flowshop Production;479
7.7.3.1;14.3.1 Modelling for Unsynchronized (Discontinuous) Flow Lines;480
7.7.3.2;14.3.2 Optimization for Two-Machine Group Flow Lines;483
7.7.3.3;14.3.3 Campbell, Dudek, and Smith Algorithm;485
7.7.3.4;14.3.4 Nawaz, Enscore, Ham Algorithm;486
7.7.4;14.4 Job-Shop Production;487
7.7.4.1;14.4.1 Shifting Bottleneck Algorithm;488
7.7.4.2;14.4.2 Job-Shop Production Scheduling Using Dynamic List Algorithms;493
7.7.5;References;500
7.8;15: Multi-criteria Scheduling;501
7.8.1;15.1 Just-in-Time Production Scheduling;501
7.8.1.1;15.1.1 Starting Group of Jobs with Fixed Sequence;501
7.8.1.2;15.1.2 Scheduling for Identical Parallel Machines with Common Shipment Date;505
7.8.2;15.2 Multi-objective Algorithms for Some Simple Production Structures;506
7.8.2.1;15.2.1 Scheduling for Two-Machine Flowshop Production;506
7.8.2.2;15.2.2 Schedule for Parallel Uniform Machines;509
7.8.2.3;15.2.3 Some Other Problems and Solving Challenges;515
7.8.3;15.3 Scheduling Based on Cost and Average Orders Utility;517
7.8.3.1;15.3.1 Sequenced Job Scheduling with Sequence-Dependent Setups;518
7.8.3.2;15.3.2 Group Scheduling for Parallel Batches Based on Maximum Average Utility and Minimum Setup Costs;527
7.8.4;15.4 Application of Decision Theory Methods;531
7.8.4.1;15.4.1 Application of Savage Principle for Decision-Making;532
7.8.4.2;15.4.2 Application of Hurwitz Principle for Decision-Making;534
7.8.5;15.5 Decision-Support Systems;535
7.8.5.1;15.5.1 Decision-Support System for Hybrid Flow Lines;535
7.8.5.2;15.5.2 Some Other Decision-Support Systems;537
7.8.6;References;539
8;Appendix A: Symbols;541
9;Appendix B: Abbreviations;543
10;Appendix C: Classification Parameters of Schedules;545
10.1;C.1 Parameters in Field ?;545
10.2;C.2 Parameters in Field beta;546
10.3;C.3 Parameters in Field gamma;546
11;Appendix D: Production Intensity Integral Calculations;548
12;Appendix E: Scheduling Software Based on Order Utility Functions;552
12.1;E.1 General;552
12.2;E.2 Description of Work with File1.xls;552
12.2.1;E.2.1 Worksheet;552
12.2.2;E.2.2 How to Use the Program;553
12.2.3;E.2.3 Planning Result Analysis;556
12.2.4;E.2.4 Errors During Program Run;558
12.3;E.3 Description of Work with File2.xls;558
12.3.1;E.3.1 Worksheet;558
12.3.2;E.3.2 How to Use the Program;559
12.4;E.4 Description of Work with File3.xls;560
12.4.1;E.4.1 Worksheet;560
12.4.2;E.4.2 How to Use the Program;561
12.4.3;E.4.3 Planning Results Analysis;562
12.4.4;E.4.4 New Task;562
12.5;E.5 Description of Work with File4.xls;563
12.5.1;E.5.1 Worksheet;563
12.5.2;E.5.2 How to Use the Program;563
12.6;E.6 Description of Work with File5.xls;565
12.6.1;E.6.1 Worksheet;566
12.6.2;E.6.2 How to Use the Program;566
12.7;E.7 Description of Work with File6.xls;568
12.7.1;E.7.1 Worksheet;568
12.7.2;E.7.2 How to Use the Program;569
12.8;E.8 Description of Work with File7.xls;571
12.8.1;E.8.1 Worksheet;571
12.8.2;E.8.2 How to Use the Program;572
12.9;E.9 Description of Work with File8.xls;572
12.9.1;E.9.1 Worksheet;573
12.9.2;E.9.2 How to Use the Program;573
13;Appendix F: Using Clobbi;575
13.1;F.1 General;575
13.2;F.2 Description of Planning Possibilities in the System;577
13.3;F.3 Description of Service Operation;578
13.3.1;F.3.1 Generating Manufacturing Schedules;579
13.4;F.4 Clobbi Service Advantages;580
13.5;F.5 Online Registration of Manufacturing Events;582
13.6;F.6 ClobbiCommercial Use;583

Part 1. Modelling.- 1.Reference Models.- Chapter 2.Mathematical Models.- Chapter 3.Production Bottlenecks Models.- 4. Multi-Criteria Models and Decision Making.- 5.Planning Inputs.- 6.Demand Forecasting.- 7.Examples of Advanced Planning Models.- Part II. Planning Processes.- 8.Single-Echelon Inventory Planning.- 9.Supply Chain Inventory Dynamics.- 10.Planning of Supplies to Consumers.- 11.Lot Sizing.- 12.Production Scheduling.- 13.Shop Floor Scheduling: Single-Stage Problems.- 14.Shop Floor Scheduling: Multi-Stage Problems.- 15.Multi-Criteria Scheduling.- Schedule 1.Legend.- Schedule 2.Abbreviations and Definitions.- Schedule 3.Schedule Classification Parameters.- Schedule 4.Production Intensity Integral Calculations.- Schedule 5.Planning Software.