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生产与运输协同调度:模型与算法:models and algorithms 版权信息
- ISBN:9787566814357
- 条形码:9787566814357 ; 978-7-5668-1435-7
- 装帧:一般胶版纸
- 册数:暂无
- 重量:暂无
- 所属分类:>>
生产与运输协同调度:模型与算法:models and algorithms 内容简介
考虑运输约束的生产排序研究在现实中的生产运营与运输调度有着广泛的应用。《生产与运输协同调度:模型与算法》研究了几个不同的考虑运输约束的生产排序模型。作者欧锦文试图从不同的视角和应用背景去建立考虑运输约束的生产排序模型,并应用*优化方法和技术进行模型的求解。
生产与运输协同调度:模型与算法:models and algorithms 目录
Preface
Chapter 1 Order Acceptance and Scheduling with Job Delivery Times and Machine Availability Constraints
1.1 Introduction
1.2 An Optimal Pseudo-polynomial Algorithm When mls Fixed
1.3 Non-approximability Results
1.4 An FPTAS to 1 I FB(1),rejl Cmax+Σwj
1.5 APTASforl IFB(1),q Dmax
1.6 When UIs and Als Are Identical and Periodic
1.7 Summary and Discussion
References
Chapter 2 Inbound Logistics Scheduling for Milk Runs with Limited Unloading Capacity
2.1 Introduction
2.2 Problem Description
2.3 Algorithm Development
2.4 Computational Results
2.5 Summary and Discussion
References
Chapter 3 Machine Scheduling with Raw Material Pickup and Finished Job Delivery
3.1 Introduction
3.2 Properties of the Model
3.3 Two Important Special Cases
3.4 Heuristic for the General Problem
3.5 Computational Experiments
3.6 Summary and Discussion
References
Chapter 4 Coordinated Scheduling of Customer Orders with Decentralized Machine Locations
4.1 Introduction
4.2 The Model and Its Properties
4.3 A Simple Heuristic Algorithm
4.4 Variants of Problem P
4.5 An Improved Heuristic for Problem P
4.6 Computational Experiments
4.7 Summary and Discussion
References
Chapter 5 Coordinated Scheduling of Truck Arrivals at an Air Cargo Terminal
5.1 Introduction to the Air Cargo Operations of HKIA
5.2 Problem Description and Formulation
5.3 An Enumerative Solution to SSP
5.4 A Dual-based Solution to TASP
5.5 Computational Experiments
5.6 Summary
References
Appendix A: Some Basic Concepts in Computational Complexity Theory
Appendix B: A Brief Introduction to Machine Scheduling
Chapter 1 Order Acceptance and Scheduling with Job Delivery Times and Machine Availability Constraints
1.1 Introduction
1.2 An Optimal Pseudo-polynomial Algorithm When mls Fixed
1.3 Non-approximability Results
1.4 An FPTAS to 1 I FB(1),rejl Cmax+Σwj
1.5 APTASforl IFB(1),q Dmax
1.6 When UIs and Als Are Identical and Periodic
1.7 Summary and Discussion
References
Chapter 2 Inbound Logistics Scheduling for Milk Runs with Limited Unloading Capacity
2.1 Introduction
2.2 Problem Description
2.3 Algorithm Development
2.4 Computational Results
2.5 Summary and Discussion
References
Chapter 3 Machine Scheduling with Raw Material Pickup and Finished Job Delivery
3.1 Introduction
3.2 Properties of the Model
3.3 Two Important Special Cases
3.4 Heuristic for the General Problem
3.5 Computational Experiments
3.6 Summary and Discussion
References
Chapter 4 Coordinated Scheduling of Customer Orders with Decentralized Machine Locations
4.1 Introduction
4.2 The Model and Its Properties
4.3 A Simple Heuristic Algorithm
4.4 Variants of Problem P
4.5 An Improved Heuristic for Problem P
4.6 Computational Experiments
4.7 Summary and Discussion
References
Chapter 5 Coordinated Scheduling of Truck Arrivals at an Air Cargo Terminal
5.1 Introduction to the Air Cargo Operations of HKIA
5.2 Problem Description and Formulation
5.3 An Enumerative Solution to SSP
5.4 A Dual-based Solution to TASP
5.5 Computational Experiments
5.6 Summary
References
Appendix A: Some Basic Concepts in Computational Complexity Theory
Appendix B: A Brief Introduction to Machine Scheduling
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