Model Development of Logistical and Economic Performance Evaluation as Decision Support

Inhaltsverzeichnis (Table of Contents)

• 1 STARTING POINT
• 1.1 Structural change and fields of action in the automotive industry
• 1.2 The industry's structure
• 1.3 Trends in the chain of value-added of the automotive manufacturers
• 1.4 Approach and structure of this thesis
• 2 FIELD-SPECIFIC-FOUNDATIONS
• 2.1 Plastic injection moulding production
• 2.1.1 History
• 2.1.2 Production specifics
• 2.1.3 Production lot size
• 2.1.4 Layout-structure and flow of material
• 2.2 Basics and duties of automotive logistics
• 2.3 Logistics supply chain exemplifying an automotive supplier of the plastic injection moulding production.
• 2.3.1 Supply-Chain-Management
• 2.3.2 Information technology
• 2.3.3 Procurement logistics
• 2.3.4 Production logistics
• 2.3.5 Distribution logistics
• 3 PROBLEM DEFINITION
• 3.1 Formulation of hypotheses
• 3.2 Research questions
• 3.3 Objectives and outlook on results
• 4 SCIENTIFIC BASICS
• 4.1 Nomenclature
• 4.1.1 Logistics
• 4.1.2 Logistical management
• 4.1.3 Logistical system
• 4.1.4 Pull-principle
• 4.1.5 Planning
• 4.1.6 Model
• 4.1.7 Process
• 4.1.8 Business process
• 4.1.9 Logistical service
• 4.2 Status of literature
• 4.3 Selected approaches of factory and business process modelling
• 4.3.1 SCOR
• 4.3.2 Process modelling with ARIS
• 4.3.3 Process chain model according to Kuhn
• 4.3.4 Summarising evaluation
• 4.4 Model-based decision-making models
• 4.4.1 Problem and method oriented models
• 4.5 Elements of a performance creation system
• 4.6 Theory of logistical efficient thinking
• 4.7 Logistical costs as a central evaluation criterion of logistics performance
• 4.7.1 Types and elements of logistical costs
• 4.7.2 Assigning the cost types to the sub-processes
• 4.8 Production and cost theory
• 4.8.1 Cost minimisation approaches
• 4.8.2 Total return functions of a diminishing returns production function
• 5 REQUIREMENTS FOR MODEL DEVELOPMENT
• 5.1 Objective
• 5.2 Methodology of the research basis for problem solution
• 5.2.1 Methodical tools
• 5.3 Methodical framework for problem solving
• 5.3.1 Procedure of executing and gathering relevant data
• 5.3.2 Content requirements on the analysis
• 5.3.3 Formal requirements on the process of model development
• 6 SITUATION ANALYSIS, DEVELOPMENT OF LOGISTICAL PERFORMANCE ELEMENTS
• 6.1 Requirements and factors on socio-technical logistical systems in the automotive supplier industry
• 6.1.1 The product lifecycle effect factor
• 6.1.2 The structural organisation effect factor
• 6.1.3 Significance of logistics inside a company
• 6.1.4 The customer demand effect factor
• 6.1.5 The product effect factor
• 6.1.6 The production and production lot size factors
• 6.1.7 The layout/company size / area effect factor
• 6.2 Analysis and classification of effect relations
• 6.2.1 Effect interdependencies in the effect system
• 6.2.2 Identification of processes and structures
• 6.3 Data groups
• 6.4 Volume data
• 6.4.1 Customer and supplier information
• 6.4.2 Packaging
• 6.4.3 Packaging circulation
• 6.5 Company specific data
• 6.5.1 Movement and performance data
• 6.5.2 JIT-process
• 6.5.3 JIS-process
• 6.5.4 Manifest-process
• 6.5.5 Transport data
• 6.6 Product and production specific information
• 6.6.1 Lot size calculation
• 6.7 Areal data
• 6.7.1 General storage area calculation
• 6.7.2 JIS-processing area
• 6.7.3 Truck preparation area
• 6.8 Company size
• 6.8.1 Areal size relations: Production area vs. logistical area
• 6.9 Database for the application of an external logistical service provider
• 6.10 General summary of the analysis' results
• 7 CONCEPTION OF A HOLISTIC LOGISTICAL MODEL
• 7.1 Approach for model development and design
• 7.1.1 Design notes for model creation
• 7.2 Solution concept

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This study aims to develop a holistic logistical model for plastic injection molding production in the automotive industry. It addresses practical challenges observed in the author's professional experience and explores existing literature to propose a solution.

• Analysis of structural changes and trends in the automotive industry's value chain.
• Examination of the specific logistics challenges within plastic injection molding production.
• Development of a comprehensive model for optimizing logistical processes.
• Evaluation of logistical costs and their impact on overall performance.
• Application of model-based decision-making to improve efficiency.

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter 1 introduces the context of the study, highlighting structural changes within the automotive industry and the challenges faced in its supply chains. Chapter 2 provides a detailed overview of plastic injection molding production, automotive logistics, and the specific supply chain of a relevant automotive supplier. Chapter 3 defines the research problem and outlines the objectives. Chapter 4 reviews relevant scientific literature and establishes a theoretical foundation, including discussions on logistics concepts, process modeling, and cost analysis. Chapter 5 outlines the methodology and data requirements for model development. Chapter 6 presents a situation analysis, identifying key factors influencing logistical performance.

Schlüsselwörter (Keywords)

Automotive logistics, plastic injection molding, supply chain management, process modeling, cost optimization, logistical performance, model-based decision-making, automotive industry, value chain.