Production Management is a large field concerned with all the aspects related to production, from the very bottom decisions at the machine level, to the top-level strategic decisicns. In this book, we are concerned with production planning and scheduling aspects. Traditional production planning methodologies are based on a now widely ac cepted hierarchical decom?osition into several planning decision levels. The higher in the hierarchy, the more aggregate are the models and the more important are the decisions. In this book, we only consider the last two decision levels in the hierarchy, namely, the mid-term (or tacticaQ planning level and the short-term (or operationaQ scheduling level. In the literature and in practice, the decisions are taken in sequence and in a top-down approach from the highest level in the hierarchy to the bottom level. The decisions taken at some level in the hierarchy are constrained by those already taken at upper levels and in turn, must translate into feasible objectives for the next lower levels in the hierarchy. It is a common sense remark to say that the whole hierarchical decision process is coherent if the interactions between different levels in the hierarchy are taken into account so that a decision taken at some level in the hierarchy translates into a feasible objective for the next decision level in the hierarchy. However, and surpris ingly enough, this crucial consistency issue is rarely investigated and few results are available in the literature.

I Production Planning and Scheduling

I.1 Production Management
I.2 Production Planning
I.3 Production Scheduling
I.4 Planning and Scheduling
I.5 Conclusion
II Job-Shop Sequencing and Scheduling
II.1 Introduction
II.2 Job-Shop Scheduling
II.3 The Shifting Bottleneck Procedure
II.4 A Modified Shifting Bottleneck Procedure
II.5 A Priority Rule-Based Dispatching Heuristic
II.6 Conclusion
III An Integrated Planning and Scheduling Model
III.1 Introduction
III.2 Notation and Definitions
III.3 Integrating Planning and Scheduling Decisions
III.4 Solving Procedures
III.5 First Computational Results
III.6 Conclusion
IV Various Resolution Strategies
IV.1 Introduction
IV.2 Two Multi-Period Scheduling Policies
IV.3 Influence of the Backlogging Cost
IV.4 Rolling Horizpn
V Extensions of the Model
V.1 Introduction
V.2 Subcontracting
V.3 Work-In-Process Inventories
V.4 Lot Streaming Option
V.5 Conclusion
VI Lot Streaming
VI.1 Introduction
VI.2 A Lot-Streaming Procedure
VI.3 Computational Results
VI.4 Impact on Lotsizing Models
VI.5 Conclusion
Conclusion
List of Figures
List of Tables.