Integrated Process Planning, Scheduling, and Due-Date Assignment

✍ Scribed by Halil Ibrahim Demir, Abdullah Hulusi Kökçam, Caner Erden

• Publisher: CRC Press
• Year: 2023
• Tongue: English
• Leaves: 153
• Category: Library

✦ Synopsis

Traditionally, the three most important manufacturing functions are process planning, scheduling, and due-date assignment, which are handled sequentially and separately.This book integrates these manufacturing processes and functions to increase global performance along with manufacturing and production cost savings.

Integrated Process Planning, Scheduling, and Due-Date Assignment combines the most important manufacturing functions to use manufacturing resources better, reduce production costs, and eliminate bottlenecks with increased production efficiency. The book covers how the integration will help eliminate scheduling conflicts and how to adapt to irregular shop floor disturbances. It also explains how other elements, such as tardiness and earliness, are penalized and how prioritizing helps improve weight performance function.

This book will draw the interest of professionals, students, and academicians in process planning, scheduling, and due-date assignment. It could also be supplemental material for manufacturing courses in industrial engineering and manufacturing engineering departments.

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
Authors
Chapter 1: Introduction to Integrated Process Planning, Scheduling, and Due-Date Assignment
1.1 Introduction
1.2 Process Planning
1.3 Scheduling
1.4 Due-Date Assignment
1.5 Computational Complexity
1.6 Importance of Integrating Manufacturing Functions
References
Chapter 2: Process Planning
2.1 Introduction
2.2 Classical Process Planning Approaches
2.3 Computer-Aided Process Planning
2.4 Review of the Literature
2.5 Conclusion
References
Chapter 3: Scheduling in Manufacturing
3.1 Introduction
3.2 Review of the Literature
3.3 Scheduling Environments
3.3.1 Machine Environment
3.3.2 Processing Characteristics
3.3.3 Minimization Objective
3.3.4 Problem Properties
3.4 Dispatching Rules
3.5 Job Shop Scheduling
3.6 Dynamic Job Shop Scheduling
3.7 Weighting the Customers
3.8 Computational Complexity of Scheduling
3.9 Conclusion
References
Chapter 4: Due-Date Assignment
4.1 Introduction
4.2 Review of the Literature
4.3 Due-date Assignment Approaches
4.4 Due-date Assignment Rules
4.5 Weighting the Customers
4.6 Conclusion
References
Chapter 5: Integrated Process Planning and Scheduling
5.1 Introduction: Background and Driving Forces
5.2 Review of the Literature
5.3 Modeling IPPS
5.4 Modeling a Sample Network Representation for Alternative Process Plans
5.5 Metaheuristic Solutions
5.6 Conclusion
References
Chapter 6: Dynamic Integrated Process Planning and Scheduling
6.1 Introduction: Background and Driving Forces
6.2 Dynamic Environments
6.3 Review of the Literature
6.3.1 Related Works on Dynamic JSSP
6.3.2 Review Works on Dynamic Integrated Process Planning and Scheduling
6.3.3 Mathematical Models and Performance Metrics
6.4 Conclusion
References
Chapter 7: Scheduling with Due-Date Assignment
7.1 Introduction
7.2 Review of the Literature
7.3 Mathematical Solutions
7.4 Metaheuristic Solutions
7.5 Conclusion
References
Chapter 8: Scheduling with Due-Window Assignment
8.1 Introduction
8.2 Review of the Literature
8.3 Mathematical Solutions
8.4 Conclusion
References
Chapter 9: Integrated Process Planning, Scheduling, and Due-Date Assignment
9.1 Introduction
9.2 Review of the Literature
9.3 Metaheuristic Solutions
9.4 Conclusion
References
Chapter 10: Dynamic Integrated Process Planning, Scheduling, and Due-Date Assignment
10.1 Introduction: Background and Driving Forces
10.2 Review of the Literature
10.3 Problem Formulations
10.3.1 Dispatching Rules
10.3.2 Due Date Assignment Rules
10.3.3 Arrival Times of the Jobs
10.4 A Sample DIPPSDDA Study
10.5 Case Study
10.6 Conclusion
References
Chapter 11: Solution Techniques in Integrated Manufacturing Functions
11.1 Introduction
11.2 Exact Methods
11.3 Heuristic Methods
11.4 Metaheuristic Methods
11.4.1 Genetic Algorithms (GA)
11.4.2 Ant Colony Optimization
11.4.3 Particle Swarm Optimization (PSO)
11.4.4 Simulated Annealing (SA)
11.4.5 Tabu Search (TS)
11.5 Agent-Based Methods
11.6 Hybrid Methods
11.7 Machine Learning (ML) Methods
11.8 Conclusion
References
Chapter 12: Integrated Process Planning, Scheduling, Due-Date Assignment, and Delivery
12.1 Introduction
12.1.1 Delivery
12.1.2 Vehicle Routing
12.1.3 Production and Distribution Scheduling
12.2 Integrated Process Planning, Scheduling, Due-date Assignment, and Delivery
12.3 Literature Survey
12.4 Conclusion
References
Index