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Schöneberg, Tim: Selecting cost-minimal delivery profiles and assessing the impact on cost and delivery schedule stability in area forwarding inbound logistics networks [...]. 2013
Inhalt
Introduction
Goals of the thesis
Structure of the thesis
Problem statement
Logistics
Area forwarding based inbound logistic networks
Inventory
Automotive supply chains
Material flow control
Planning process in automotive supply chains
Iterative planning in a rolling horizon
The operational order lot-sizing planning problem
Objectives and decisions
Constraints
Algorithmic and rule-based delivery schedule generation
Assessing the impact of cost minimal delivery profiles
Literature Review
Models and algorithms covering important aspects related to the selection of cost-minimal delivery profiles
Models for lot-sizing problems
Models for joint replenishment problems
Models for purchasing quantity discount problems
Models for minimum cost network design and flow problems
Considering uncertainty of demand
Assessing the impact on realized logistics cost
Simulating a rolling horizon environment to benchmark planning methods
Architectural approaches to benchmark simulation environments
Assessing stability of the generated delivery schedules
Outline of the Required Work
Selecting cost-minimal delivery profiles for area forwarding inbound logistic networks
Performance issues
Considering uncertainty
Assessing the impact of cost-minimal delivery profiles in a rolling horizon environment
A simulation framework for operational order lot-sizing planning methods
Measuring delivery schedule stability
Targeted contributions
Selecting cost-minimal and robust delivery profiles
Summary of the given decision problem
Exploiting the problem structure
Preprocessing
Determination of resulting orders
Computation of inventory related cost factors
Freight computation
A primal packing heuristic
Main leg model formulation
Primal heuristics
A local search heuristic
A genetic algorithm
Consideration of demand uncertainty
Preprocessing
Adapted model formulation
Modified solution algorithm for the stochastic case
A simplified model formulation
Scenario generation
A forecast deviation oriented scenario generation approach
A demand distribution oriented scenario generation approach
Scenario reduction
An Evaluation Framework for Delivery Schedule Generation Approaches
Simulation Approach
Representation of time
Representation of the underlying base system
MRP system logic
Interface between MRP system logic and delivery schedule generation approaches
Simulation procedure
Performance indicators
Assessing the realized cost
Assessing the stability of the generated delivery schedules
A case study from an automotive company
Experimental Design
Description of the examined areas
Considered delivery profiles
Testing environment
Considered alternatives
Analysis of the selected delivery profiles
Algorithmic performance
Evaluation of the decomposition approach
Evaluation of the generic model formulation
Evaluation of the simplified model formulation for the stochastic case
Evaluation of the heuristic algorithms
Evaluation of monetary effects
Expected costs
Realized costs
Value of perfect information
Stability of the generated delivery schedules
Inventory behavior
Summary of the case study results
Algorithmic results
Predictability and quality of applications in a rolling horizon
Implications for applications in practice
Summary and Conclusion
Summary of the achieved contributions
Outlook on further research
Bibliography
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