Optimization Models and Concepts in Production ManagementOptimization techniques in production management are becoming increasingly important for efficient and competitive manufacturing. This book presents a collection of tutorial papers by outstanding researchers on the application of optimization concepts. Topics introduced include hierarchical production planning and large scale scheduling, optimal production control, exact and heuristic algorithms for production scheduling and stochastic modelling. |
Contents
CHAPTER | 1 |
CHAPTER | 2 |
Computational complexity | 14 |
Dealing with NPhard problems | 21 |
References | 37 |
CHAPTER 2 | 45 |
Implications for applied methods | 53 |
CHAPTER 3 | 71 |
Coordination between aggregate and detailed scheduling | 208 |
CHAPTER 7 | 213 |
Stochastic Models for Production Control by J A Buzacott and J | 214 |
Single product type single machine systems | 220 |
Multiple product type single machine systems | 240 |
Conclusions and suggestions | 250 |
CHAPTER 8 | 257 |
literature review | 263 |
Case study 2 | 87 |
Case study 3 | 93 |
References | 104 |
Introduction | 108 |
Routing in flexible pipeline assembly systems | 134 |
Routing in flexible manufacturing and assembly systems | 142 |
CHAPTER 5 | 153 |
References | 184 |
Bridging the Gap between Optimized | 187 |
An overview of control theoretic concepts for production | 191 |
A factory level aggregate scheduling approach for | 197 |
Conclusions | 271 |
Heavey and J Browne | 277 |
The simulation process | 283 |
Conclusions | 303 |
A Methodology Supporting Design and Implementation of CIM Systems | 307 |
Methodology | 309 |
The development of heuristic methods from optimization models is | 315 |
ECOGRAI | 319 |
Application in SNECMA Company | 325 |
333 | |
Common terms and phrases
Akella applied approach approximation assembly assigned backlog batch buffer chapter combinatorial optimization completion components computational consider constraints corresponding cost dampening mechanism decision problems defined demand denote discrete dispatching due date dynamic programming feasible Figure Flexible Manufacturing Systems formulation given graph hedging point heuristics ingot moulds input integer inventory job class Lagrangian relaxation limit cycle linear program loading lower bound machine scheduling problems makespan method minimize node number of ingot number of jobs objective function obtained Operations Research optimal control optimal schedule optimal solution optimization problem order tags output store PACs parameters partition performance period Petri net polynomial process tags production capacity set production rate production systems queueing system recursive requisition tags robot routing setup changes simulation single machine solve structure subgradient method subproblems surplus target trajectory traveling salesman problem units vector