Engineering Production Control Strategies [electronic resource] : A Guide to Tailor Strategies that Unite the Merits of Push and Pull /
Karrer, Christoph.author.
Identifying and customizing suitable control strategies is a challenging task, especially when production systems have to cope with variable demands, forecast error, and unstable processes. The focus of this book lies on helping companies with complex and discrete production systems to tailor a production control strategy to their needs. Thereby, the mutual merits of "push" and "pull" systems are taken into account, leading to hybrid strategies. Consequently, the book addresses practitioners who are interested in looking behind the scenes and into the physics of production control. A real-life case study demonstrates the practical applicability of the presented framework.
Description based upon print version of record.
Engineering Production Control Strategies; A Guide to Tailor Strategies that Unitethe Merits of Push and Pull; Foreword; Contents; Chapter 1: Introduction; 1.1 Need for a PCS Engineering Framework; 1.2 Suitable Industrial Context for Application; 1.3 Structure of the Book; Chapter 2: Production Control Strategies (PCS); 2.1 Fundamental Concepts and Coherences; 2.1.1 PCS in the Broader Context of Production Planning and Control; 2.1.2 The Push/Pull Enigma and Their Basic Implementations; 2.1.3 The Order Penetration Point; 2.1.4 The Influence of the PCS on Operational Performance
2.2 Review of Current Research on PCS2.2.1 Segmentation of Literature; 2.2.2 PCS Method Development; 2.2.2.1 Vertically Integrated Hybrid PCS; 2.2.2.2 Horizontally Integrated Hybrid PCS; 2.2.2.3 Advanced Pull-Type Systems; 2.2.2.4 Advanced Push-Type Systems; 2.2.3 PCS Selection; 2.2.4 PCS Implementation; 2.2.5 Related Design Questions; 2.3 Synthesis and Positioning of the Following Work; Chapter 3: A Queuing Network Based Framework for PCS Engineering; 3.1 Design Drivers and Initial Complexity Reduction; 3.1.1 Structuring Design Drivers
3.1.2 Complexity Reduction by Defining Planning Segments3.1.2.1 Definition of Planning Segment (PS); 3.2 Generic Model Formulation; 3.2.1 Notation; 3.2.2 Queuing Network Representation of Planning Segments; 3.2.3 Basic Properties; 3.2.4 Analysis of the Resulting Solution Space; 3.3 Mapping Production System Variability; 3.3.1 An Integrated Approach to Stochastic Modeling of Production System Variability; Definition ``Standard Processing Time ́ ́ (SPT); Definition ``Standard Cycle Time ́ ́ (SCT); Definition ``Actual Cycle Time ́ ́ (ACT)
3.3.2 Definition of a Measure for Production System Variability3.4 Mapping of Demand Variability; 3.4.1 Stochastic Modeling of Demand Variability; 3.4.2 Excursion: Possible Involvement of Customers; Chapter 4: Numerical Optimization of Control Parameters Along a PCS Engineering Process; 4.1 Objective Function Design; 4.1.1 Selection of Valuation Measures; 4.1.2 Value Analysis; 4.1.2.1 Value Function Design for Delivery Performance; 4.1.2.2 Value Function Design for WIP; 4.1.2.3 Value Function Design for Productivity; 4.2 Implementation of a Supporting Simulation Framework
4.2.1 Introduction to Discrete-Event Simulation and the Platform `AnyLogic ́4.2.2 Implementation of Planning Segments; 4.2.3 Implementation of the Demand Model; 4.2.4 Implementation of the Production System Model; 4.3 A PCS Engineering Process to Optimize Production Control Parameters; 4.3.1 Approach and Process Overview; 4.3.2 Step 1 - Ki Determination; 4.3.3 Step 2 - OPPj Determination; 4.3.4 Step 3 - FCTj and Sij Determination; Chapter 5: Investigation of the Push/Pull Integration; 5.1 Influencing Factors and Rules for the Decision among Push and Pull; 5.1.1 Hypothesis and Experiment Design
5.1.2 Determination of Relevant Factors and Derivation of Decision Rules
Includes bibliographical references.
Identifying and customizing suitable control strategies is a challenging task, especially when production systems have to cope with variable demands, forecast error, and unstable processes. The focus of this book lies on helping companies with complex and discrete production systems to tailor a production control strategy to their needs. Thereby, the mutual merits of "push" and "pull" systems are taken into account, leading to hybrid strategies. Consequently, the book addresses practitioners who are interested in looking behind the scenes and into the physics of production control. A real-life case study demonstrates the practical applicability of the presented framework.
Production management.
Operations research.
Decision making.
Production.
Operations Management.
Operations Research/Decision Theory.
Management for Professionals