Read more
This book is a guideto modern production planning methods based on new scientific achievementsand various practical planning rules of thumb. Several numerical examplesillustrate most of the calculation methods, while the text includes a set ofprograms for calculating production schedules and an example of a cloud-basedenterprise resource planning (ERP) system. Despite the relatively large numberof books dedicated to this topic, Advanced Planning and Scheduling is the firstbook 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 Englishtranslation.
This work consists oftwo parts, with the first part addressing the design of reference andmathematical models, bottleneck models and multi-criteria models and presentingvarious sample models. It describes demand-forecasting methods and alsoincludes considerations for aggregating forecasts. Lastly, it providesreference information on methods for data stocking and sorting. The second partof the book analyzes various stock planning models and the rules of safetystock calculation, while also considering the stock traffic dynamics in supplychains. Various batch computation methods are described in detail, whileproduction planning is considered on several levels, including supply planningfor customers, master planning, and production scheduling. This book can beused as a reference and manual for current planning methods. It is aimed atproduction planning department managers, company information systemspecialists, as well as scientists and PhD students conducting research inproduction planning. It will also be a valuable resource for students atuniversities of applied sciences.
List of contents
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.
Summary
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.
