Thesis (M.S.)--West Virginia University, 2001. / Title from document title page. Document formatted into pages; contains viii, 121 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 84-86).

Thesis (Ph. D.)--University of Texas at Austin, 2001. / Vita. Includes bibliographical references. Available also from UMI/Dissertation Abstracts International.

Thesis (Ph. D.)--University of Texas at Austin, 2001. / Vita. Includes bibliographical references (leaves 336-343). Available also in a digital version from Dissertation Abstracts.

by Ho King-sang. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1981. / Bibliography: leaf 56.

Not available / text

As organisations try to emerge from the recent economic downturn, they attempt to enter different markets to decrease their dependency on their core market. Due to high costs in R&D and the risk of failure, organisations try to sell the core components of their products to business partners who can incorporate these components into their own offering. Using a qualitative research method, we studied the case of TACHI as a player in the construction equipment industry. The purpose of the research was to find factors for maintaining successful business partnerships within this industry and also the role of co- branding in these business partnerships. After analysing the results of our study and reflecting on the theoretical framework, we concluded that operational compatibility, and commitment and trust were considered as the key factors that were most important in making business partnerships work successfully. Interestingly, players in the construction equipment industry do not consider co-branding as a strategy for entering new markets. However, we discovered a new phenomenon, which is informal branding, and we recommend this as a topic for future research.

The supplier relationship manager is one of the eight business processes of Supply chain management. There have been many researches carried out about the supply chain processes integration. However, a lack of theory has been noticed on the integration of the supplier relationship management process and no research has coped with a case study of the integration of this process between the manufacturer and its first upstream tier. The lack is also consequent when studying the obstacles to the supplier relationship management integration in Swedish construction equipment companies.

Abstract  Date: 2023-05-30 Level: Master thesis in Business Administration, 15 cr  Institution: School of Business, Society and Engineering, Mälardalen University  Authors: Ramak Amyari Khamneh (84/01/29), Aymen Safi (00/03/27) Title: Artificial Intelligence as a Catalyst for Supply Chain Resilience: A Qualitative Study Comparing Scania and Volvo in the Construction Equipment Industry Supervisor: Emre Yildiz Keywords: Artificial Intelligence (AI), Supply Chain Resilience, Construction Equipment Industry, Disruptions, Agility, Redundancy Research question: How do Scania and Volvo interpret and implement Artificial Intelligence (AI) technologies to enhance supply chain resilience and mitigate disruptions in the construction equipment industry? Purpose: The purpose of this master thesis is to investigate how Scania and Volvo interpret and implement AI technologies to enhance supply chain resilience and mitigate disruptions in the construction equipment industry. Method: Qualitative Conclusion: The conclusion of the master thesis is that Scania and Volvo have successfully implemented AI technologies to enhance supply chain resilience in the construction equipment industry, despite challenges, and see AI as a critical component for future supply chain strategies.

by Yim Fu Cheong, Terence. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 63-67). / abstract --- p.ii / TABLE OF CONTENTS --- p.iv / LIST OF EXHIBITS --- p.vi / ACKNOWLEDGEMENT --- p.vii / CHAPTER / Chapter I. --- INTRODUCTION --- p.1 / Chapter 1.1 --- Svedala Industri AB --- p.1 / Chapter 1.2 --- Svedala Products --- p.1 / Chapter 1.2.1 --- Civil Engineering Sector --- p.2 / Chapter 1.2.2 --- Mineral Processing Sector --- p.3 / Chapter 1.2.3 --- Bulk Material Handling Sector --- p.4 / Chapter 1.3 --- Svedala Customers --- p.5 / Chapter 1.4 --- Svedala's Mission in China --- p.5 / Chapter 1.5 --- Methodology --- p.7 / Chapter II. --- FUTURE DEVELOPMENT IN CHINA --- p.10 / Chapter 2.1 --- Economic Situation --- p.10 / Chapter 2.2 --- Major Technology Introducing Projects --- p.12 / Chapter 2.3 --- What are the Bottlenecks? --- p.12 / Chapter 2 .4 --- Energy Projects --- p.19 / Chapter 2.5 --- Coal Mining Projects --- p.20 / Chapter 2.6 --- Transport Projects --- p.21 / Chapter 2.7 --- Other Construction Projects of Interest to Svedala --- p.24 / Chapter III. --- OPPORTUNITIES FOR SVEDALA --- p.25 / Chapter 3.1 --- Crushing & Screening Division --- p.25 / Chapter 3.2 --- Compaction Division --- p.26 / Chapter 3.3 --- Grinding Division --- p.27 / Chapter 3.4 --- Bulk Material Handling Division --- p.28 / Chapter IV. --- SUMMARIES OF INTERVIEWS AND IMPLICATIONS --- p.31 / Chapter 4.1 --- Crushing & Screening Division --- p.31 / Chapter 4.2 --- Compaction and Bulk Material Handling Division --- p.32 / Chapter V. --- STRENGTHS AND WEAKNESSES OF SVEDALA --- p.35 / Chapter 5.1 --- Crushing & Screening Division --- p.35 / Chapter 5.2 --- Compaction Division --- p.36 / Chapter 5.3 --- Grinding Division --- p.37 / Chapter 5.4 --- Bulk Material Handling Division --- p.38 / Chapter VI. --- THREATS TO SVEDALA --- p.40 / Chapter 6.1 --- Most-Favored-Nation (MFN) Trade Status --- p.40 / Chapter 6.2 --- Drastic Policy Changes --- p.41 / Chapter 6.3 --- Land Appreciation Tax --- p.42 / Chapter 6.4 --- Skyrocketing Costs of Operations --- p.43 / Chapter 6.5 --- Upward Trend of Interest Rates --- p.44 / Chapter 6.6 --- Government Regulations --- p.45 / Chapter VII. --- RECOMMENDED STRATEGY FOR SVEDALA --- p.46 / Chapter 7.1 --- Business Strategy for China --- p.46 / Chapter 7.2 --- Product Strategy --- p.46 / Chapter 7.3 --- Pricing Strategy --- p.49 / Chapter 7.4 --- Distribution Strategy --- p.49 / Chapter 7.5 --- Promotion Strategy --- p.51 / Chapter 7.6 --- Research & Development Strategy --- p.51 / Chapter 7.7 --- Human Resources Strategy --- p.52 / Chapter 7.8 --- Finance Strategy --- p.53 / Chapter VIII. --- CONCLUSION --- p.54 / APPENDICES --- p.57 / BIBLIOGRAPHY --- p.63 / REFERENCES --- p.66

The construction equipment industry has been slow to increase its level of servitization, compared to other related sectors such as the car and flight industries. The fundamental problem is the endless variants of machines and business settings that their customers operate in. Hence, scaling up standardized solutions has been a struggle in the industry. Moreover, the manufacturers are often disconnected from the end customers, where value-added resellersoften act as the middlemen selling machines and offering the services connected to them. They generally have better customer relationships than manufacturers, which implies a better situation for servitization. Companies in the construction equipment industry are pushed more toward data-driven decision-making. One such case is utilizing log data from the machines to predict the remaining useful life. A technology referred to as predictive maintenance. Henceforth, the value-added resellers could potentially increase their level of servitization with service offerings that derive from this technology. This thesis explores the role predictive maintenance has in advancing the level of servitization in the construction equipment industry. This thesis was conducted through a single-case study of a value-added reseller in the construction equipment industry, with a practical model-building part inspired by the methodology of action research. Findings indicate that predictive maintenance implies benefits for servitization purposes by gaining insights about how and when construction equipment fails. However, there are barriers to implementing a predictive maintenance model; both technical and organizational. This thesis suggests systematically evaluating capabilities related to the identified barriers and investing accordingly. Predictive maintenance is an essential tool for providing advanced service agreements in the form of Productivity-as-a-Service. In the end, it comes down to what risk the value-added resellers are willing to take; (1) the risk of incumbency, allowing competitors to implement predictive maintenance and gain market shares or (2) the risk of investing excessively and failing to overcome the challenges related to the implementation of predictive maintenance. This thesis contributes to findings regarding the intersection between servitization and predictive maintenance in the construction equipment industry. More specifically, through the lens of a value-added reseller. From a sustainability perspective, implications may affect companies to reduce waste related to construction equipment maintenance and strengthening economic sustainability through recurring revenues. / Branschen för anläggningsmaskiner har varit långsam med att öka sin nivå av tjänstefiering, jämfört med andra relaterade sektorer som bil- och flygindustrin. Det grundläggande problemet är de många varianterna av maskiner och arbetsmiljöer som deras kunder verkar i. Därför har det varit en utmaning inom branschen att skala upp standardiserade lösningar. Dessutom är tillverkarna ofta bortkopplade från slutkunderna, där värdeskapande återförsäljare agerar rollen som mellanhand för att sälja maskiner och erbjuda relaterade tjänster. De har generellt sett bättre kundrelationer än tillverkarna, vilket innebär andra förutsättningar för tjänstefiering. Företag inom branschen för anläggningsmaskiner drivs alltmer mot datadrivna beslut. Ett sådant fall är att använda data från anläggningsmaskinerna för att förutspå den återstående livslängden. En teknologi som kallas prediktivt underhåll. Till följd av detta kan värdeskapande återförsäljare potentiellt öka sin nivå av tjänstefiering med tjänsteerbjudanden som härrör från denna teknik. Detta examensarbete undersöker vilken roll prediktivt underhåll har för att förbättra nivån av tjänstefiering inom branschen för anläggningsmaskiner. Studien genomfördes som en fallstudie av en värdeskapande återförsäljare inom branschen för anläggningsmaskiner, samt en del inspirerad av aktionsforskning innehållandes att utveckla en modell för prediktivt underhåll. Resultaten tyder på att prediktivt underhåll har tydliga fördelar för tjänstefiering genom att bidra med insikter om hur och när anläggningsmaskiner går sönder. Däremot finns hinder för att implementera en modell för prediktivt underhåll; varav många relaterar till organisatorisk tröghet. Detta examensarbete föreslår att man systematiskt utvärderar förmågor relaterade till de identifierade hindren och investerar därefter. Prediktivt underhåll är ett viktigt verktyg för att tillhandahålla avancerade serviceavtal i form av ”Productivity-as-a-Service”. I slutändan handlar det om vilken risk värdeskapande återförsäljare är villiga att ta; (1) risken att inte investera i tekniken och bli irrelevant när nya aktörer eller konkurrenter avancerar eller (2) risken att investera mycket, men att ändå inte lyckas komma över utmaningarna med att implementera prediktivt underhåll. Denna uppsats bidrar till insikter om skärningspunkten mellan tjänstefiering och prediktivt underhåll inom branschen för anläggningsmaskiner. Mer specifikt genom värdeskapande återförsäljares lins. Ur ett hållbarhetsperspektiv kan dessa implikationer påverka företag att minska avfall relaterat till underhåll av anläggningsmaskiner samt stärka dess ekonomiska hållbarhet genom återkommande intäkter.