Skip to main content
main-content

2019 | Buch

Management Approach for Resource-Productive Operations

Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma

share
TEILEN
insite
SUCHEN

Über dieses Buch

Markus Hammer investigates a time-based and analytics-supported operations management approach. He explores five perspectives: 1) the needs of industry, in particular manufacturing in process industries, 2) the impact of digitization, with focus on Big Data and analytics, 3) the management of operations through time-based performance metrics, 4) how operations improvement methods and advanced process control help achieve resource-productive operations and 5) learning from practice based on two empirical case studies. The author conceives, explains, and tests an implementation methodology. The final case study proves that the developed implementation methodology works in practice.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
Chapter 1 provides an introduction to this thesis in four sections. Section 1.1 describes the initial situation and motivation for this research. Section 1.2 defines the objective of the research, section 1.3 articulates the research questions, and section 1.4 lays out the research design and structure of the thesis.
Markus Hammer
Chapter 2. Industry Perspective: Challenges in Manufacturing in Process Industries
Abstract
This chapter frames the setting for this thesis. Section 2.1 looks at mega trends such as the increasingly dynamic environment industrial companies are exposed to. Section 2.2 gives an overview of manufacturing industries. Section 2.3 focuses specifically on process industries. Section 2.4 provides a summary of the challenges faced by manufacturers in process industries.
Markus Hammer
Chapter 3. Digitization Perspective: Impact of Digital Technologies in Manufacturing
Abstract
This chapter provides a perspective on digitization and the impact on manufacturing. Section 3.1 introduces digitization and the subsequent chapters cover Industry 4.0 (section 3.2), Industrial Internet of Things (section 3.3), Big Data (section 3.4), advanced analytics (section 3.5) and a summary (section 3.6).
Markus Hammer
Chapter 4. Management Perspective: Performance Opportunities with Decision Support Systems
Abstract
In this chapter a perspective of management is given. Section 4.1 starts with decision making followed by performance measures (section 4.2) as basis for fact-based decisions. Section 4.3 covers performance measurement and management systems, section 4.4 decision support systems and a summary of performance opportunities with decision-support systems is covered in section 4.5.
Markus Hammer
Chapter 5. Operations Perspective: Achieving Resource-Productive Operations
Abstract
This chapter gives a perspective on resource-productive operations (section 5.1), operations improvement methods (section 5.2), advanced process control (section 5.3) and a summary of how to achieve resource-productive operations in section 5.4.
Markus Hammer
Chapter 6. Practice Perspective: Learning from Case Research in the Cement and Ammonia Industry
Abstract
After the review of related literature, this chapter provides a practical perspective based on sanitized examples from cement clinker production (section 6.1) and ammonia production (section 6.2). Section 6.3 summarizes the learning and requirements for the application of analytics in process industries.
Markus Hammer
Chapter 7. Interim Conclusion: Scope of Work
Abstract
In this chapter the research need is summarized and the scope of work is defined through the delimitation and requirements from the previous chapters dealing with theory, related work and observations from practical cases.
Markus Hammer
Chapter 8. Methodology Conception: Framing a Time-Based and Analytics Supported Operations Management Approach
Abstract
In this chapter the methodology to answer the research questions from chapter 1 will be outlined. The overall objective is to provide industrial companies with a step-by-step process methodology to implement a time-based and analytics-supported operations management approach. In section 8.1 the basic concept and characteristics of the approach are introduced. Section 8.2 covers the theoretical classification of the methodology. Section 8.3 deals with criteria when the approach is meaningful. Section 8.4 looks at pre-conditions to enable the approach.
Markus Hammer
Chapter 9. Methodology: Implementing an Analytics, Time and Six Sigma Based Operations Management Approach
Abstract
In this chapter the previously conceived methodology will be explained in detail. The framework, Figure 72, follows the five phases of the Six-Sigma approach with 17 specific activities and tools for each phase stated by the author. This chapter gives the answer to RQ3 on how to implement a profit per hour management approach. As with all approaches, a customization, i.e. an extension of activities or adaptation of tools, to specific circumstances is required as part of a broader rollout – this need for adaptation and continuous improvement is also pointed out by Schwaninger 2013, p. 56.
Markus Hammer
Chapter 10. Methodology Validation: Prototypical Application in the Pulp Manufacturing Industry
Abstract
In this chapter the conceived methodology is validated by taking a case study approach. The research is based again on process industries and deals with pulp manufacturing. It includes insights on the process, examples, and sanitized results.
Markus Hammer
Chapter 11. Conclusion
Abstract
In this closing chapter, section 11.1 summarizes the results, section 11.2 discusses the findings, in the light of the research objectives and questions in chapter 1, and section 11.3 provides an outlook on future research needs.
Markus Hammer
Backmatter
Metadaten
Titel
Management Approach for Resource-Productive Operations
verfasst von
Dr. Markus Hammer
Copyright-Jahr
2019
Electronic ISBN
978-3-658-22939-9
Print ISBN
978-3-658-22938-2
DOI
https://doi.org/10.1007/978-3-658-22939-9

Premium Partner