Model Development of Logistical and Economic Performance Evaluation as Decision Support

With the Example of an Automotive Supplier of the Plastics Industry

Doctoral Thesis / Dissertation , 2008 , 228 Pages , Grade: erfolgreich bestanden

Business economics - Supply, Production, Logistics

The competitive environment of the supplier industry has changed vitally during recent
years. Significant changes of the market environment result from increasing complexity
and dynamics due to increased equipment diversity and the reduction of the model lifespan
of the OEM’s vehicles. Additionally, the cost pressure is growing and the in-house
production depth and the customer individual ways of supply are reduced, which results
in extensive changes to the supply chain. In order to meet dynamic requirements in the changed competitive environment and to react on the related necessary modifications of
company structures with appropriate measures, a significant improvement of the
changeability and velocity of the supplier companies regarding the current market situation
must occur. However, these demanded changeability, or designing exercise of influence,
and velocity imply primarily that companies have knowledge about the own
technical and economics effects based on the dynamic demands of the OEM. Furthermore,
an active, realistic decision finding always implies the consideration of interrelations
both of internal (inside the production plant) and external supply chains (for instance
the delivery concept between supplier and customer) of a logistical system. Additionally,
the demand of a flexibly designed supply chain applies. From this perspective,
the impression arises that logistical systems for decision-making and support do not
require isolated standard tools but individual models and development methods that
comply with their specific character. As a result, a procedure for model development
including the realisation of an industry specific, system supported logistical cost effect
model to illustrate and evaluate increasingly differentiated logistical customer demands
alongside the supply chain has been developed in this study. The concept simulation for
developing cost minimal decision alternatives and the technical and economic logistical
performance evaluation, which was based on this, were in the main focus of the objective.

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.

• College: University of Bratislava
• Grade: erfolgreich bestanden
• Author: Dr Michael Wiggen (Author)
• Publication Year: 2008
• Pages: 228
• Catalog Number: V123925
• ISBN (eBook): 9783640295838
• Language: English
• Tags: Logistics, Automobil, Supplier, Logistik, Supply strategies, JIT, JIS, Kanban, logistics concepts