Factors Affecting The Implementation Of A Total Productive Maintenance System Tpm

Inhaltsangabe:Abstract: Modern manufacturing requires that organisations that want to be successful and to achieve world-class manufacturing must posses both effective and efficient maintenance. One approach to improve the performance of maintenance activities is to implement a Total Productive Maintenance (TPM) system. The aim of this dissertation is to prove that the introduction of a TPM system is by no means an easy task, because there are several barriers that encumber the implementation process, the driving forces to success have to be identified and well understood, and a process of organisational change has to be managed successfully. The study analyses impediments, barriers and obstacles to the implementation procedure and discovers key success factors concluding with a conceptual framework for a successful TPM implementation. The dissertation also examines the challenge of managing change within the TPM context and identifies that such a TPM journey requires employee and management commitment to be successful. Through a case study of implementing TPM in an automotive supplier company, the practical aspect within and beyond basic TPM theory and problems encountered during the implementation are discussed and analysed. The paper concludes that the implementation of TPM is definitely not an easy task, which is considerably burdened by organisational, behavioural and other barriers, and necessitates the difficult mission to change peoples mindsets from a traditional maintenance approach. Inhaltsverzeichnis:Inhaltsverzeichnis: Title page01 Declaration and Word Count02 Abstract03 Acknowledgements04 Table of contents05 List of figures09 CHAPTER 1INTRODUCTION10 1.1Importance of TPM10 1.2Problem statement and objectives11 1.3Research methods12 1.4Structure of the study13 CHAPTER 2LITERATURE REVIEW14 2.1Defining TPM14 2.2Basic concept14 2.3Performance measurement17 2.4New roles of operators and maintenance staff19 2.5The JIPM s 12 steps to implement TPM21 2.6The connection between TPM and TQM23 2.7TPM in the view of change25 CHAPTER 3METHODOLOGY29 3.1Company profile and TPM background29 3.1.1General information about the company29 3.1.2CME: The plant of the focus of this study30 3.2Explanation, justification and limitations of selected methods32 3.2.1Focus group discussion32 3.2.1.1Data collection procedure33 3.2.1.2Data evaluation34 3.2.2Participant observation35 3.2.3Document analysis36 CHAPTER 4FINDINGS [...]

To be able to compete successfully both at national and international levels, production systems and equipment must perform at levels not even thinkable a decade ago. Requirements for increased product quality, reduced throughput time and enhanced operating effectiveness within a rapidly changing customer demand environment continue to demand a high maintenance performance. In some cases, maintenance is required to increase operational effectiveness and revenues and customer satisfaction while reducing capital, operating and support costs. This may be the largest challenge facing production enterprises these days. For this, maintenance strategy is required to be aligned with the production logistics and also to keep updated with the current best practices. Maintenance has become a multidisciplinary activity and one may come across situations in which maintenance is the responsibility of people whose training is not engineering. This handbook aims to assist at different levels of understanding whether the manager is an engineer, a production manager, an experienced maintenance practitioner or a beginner. Topics selected to be included in this handbook cover a wide range of issues in the area of maintenance management and engineering to cater for all those interested in maintenance whether practitioners or researchers. This handbook is divided into 6 parts and contains 26 chapters covering a wide range of topics related to maintenance management and engineering.

This book present the state of the art in Total Productive Maintainance (TPM) and its benefits. The authors present a survey applied to 368 manufacturing industries in order to determine their level of execution of TPM. Then a series of causal models are presented. For each model, the authors present a measure of the dependency between the critical success factors and the benefits obtained, allowing industry managers to differentiate between essential and non-essential activities. The content also allows students and academics to obtain a theoretical and empirical basis on the importance of TPM as a lean manufacturing tool in the context of industry 4.0.

TPM for Every Operator covers the information that needs to be communicated to operators when facilitating a company-wide TPM initiative. It covers the main aspects of TPM, introducing frontline workers to this important manufacturing strategy that encourages them to participate in and even initiate routine maintenance that can help extend machine life and prevent stoppages. Based on actual implementations, this book addresses the challenges which TPM often raises for operators. Concise and accessible, it can be used as part of an extensive TPM training program, especially when paired with the TPM Guide for Workshop Leaders.

With the advent of disruptive digital technologies, companies are facing unprecedented challenges and opportunities. Advanced manufacturing systems are of paramount importance in making key enabling technologies and new products more competitive, affordable, and accessible, as well as for fostering their economic and social impact. The manufacturing industry also serves as an innovator for sustainability since automation coupled with advanced manufacturing technologies have helped manufacturing practices transition into the circular economy. To that end, this Special Issue of the journal Applied Sciences, devoted to the broad field of Smart Sustainable Manufacturing Systems, explores recent research into the concepts, methods, tools, and applications for smart sustainable manufacturing, in order to advance and promote the development of modern and intelligent manufacturing systems. In light of the above, this Special Issue is a collection of the latest research on relevant topics and addresses the current challenging issues associated with the introduction of smart sustainable manufacturing systems. Various topics have been addressed in this Special Issue, which focuses on the design of sustainable production systems and factories; industrial big data analytics and cyberphysical systems; intelligent maintenance approaches and technologies for increased operating life of production systems; zero-defect manufacturing strategies, tools and methods towards online production management; and connected smart factories.

This book applies artificial intelligence to lean production and shows how to practically combine the advantages of these two disciplines. Lean manufacturing originated in Japan and is a well-known tool for improving manufacturers' competitiveness. Prevalent tools for lean manufacturing include Kanban, Pacemaker, Value Stream Map, 5s, Just-in-Time and Pull Manufacturing. Lean Manufacturing and the Toyota Manufacturing System has been successfully applied to various factories and supply chains around the world. A lean manufacturing system can not only reduce wastes and inventory, but also respond to customer needs more immediately. Artificial intelligence is a subject that has attracted much attention recently. Many researchers and practical developers are working hard to apply artificial intelligence to our daily lives, including in factories. For example, fuzzy rules have been established to optimize machine settings. Bionic algorithms have been proposed to solve production sequencing and scheduling problems. Machine learning technologies are applied to detect possible product quality problems and diagnose the health of a machine. This book will be of interest to production engineers, managers, as well as students and researchers in manufacturing engineering.