29 research outputs found
Π€ΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ΅Π½Π½ΠΎΡΡΠΈ Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ Π°ΠΊΡΠΈΠ²Π°ΠΌΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ
Π¦Π΅Π»ΡΡ ΡΡΠ°ΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΎΠΏΠΈΡΡΠ²Π°ΡΡΠ΅ΠΉ ΠΏΡΠΎΡΠ΅ΡΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π½Π½ΠΎΡΡΠΈ Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ Π°ΠΊΡΠΈΠ²Π°ΠΌΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ. ΠΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΡΡ ΠΊΠ»ΡΡΠ΅Π²ΡΠ΅ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ, Ρ ΠΊΠΎΡΠΎΡΡΠΌΠΈ ΡΡΠ°Π»ΠΊΠΈΠ²Π°ΡΡΡΡ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ Π² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ Π°ΠΊΡΠΈΠ²Π°ΠΌΠΈ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΈΠ·ΠΌΠ΅Π½ΡΡΡΠΈΡ
ΡΡ ΡΡΠ»ΠΎΠ²ΠΈΠΉ Π²Π½Π΅ΡΠ½Π΅ΠΉ ΡΡΠ΅Π΄Ρ. ΠΡΠ΄Π΅Π»ΡΠ΅ΡΡΡ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Π½Π½ΠΎΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° ΠΏΡΠΈΠΌΠ΅Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΊ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ Π°ΠΊΡΠΈΠ²Π°ΠΌΠΈ. ΠΠ½Π°Π»ΠΈΠ·ΠΈΡΡΠ΅ΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ ΡΠ΅ΠΎΡΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌ ΠΊ ΠΏΡΠΎΡΠ΅ΡΡΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ Π°ΠΊΡΠΈΠ²Π°ΠΌΠΈ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° Π°Π²ΡΠΎΡΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ Π°ΠΊΡΠΈΠ²Π°ΠΌΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ. ΠΠ»Π΅ΠΌΠ΅Π½ΡΡ Π½ΠΎΠ²ΠΈΠ·Π½Ρ Π·Π°ΠΊΠ»ΡΡΠ°ΡΡΡΡ Π² Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΠΈ Π΄ΡΠ°ΠΉΠ²Π΅ΡΠΎΠ² ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠ΅Π½Π½ΠΎΡΡΠΈ Π½Π° Π²ΡΠ΅Ρ
ΡΡΠΎΠ²Π½ΡΡ
ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ, Π° ΡΠ°ΠΊΠΆΠ΅ Π² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° Π΄Π»Ρ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ Π°ΠΊΡΠΈΠ²Π°ΠΌΠΈ Ρ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ ΠΎΡΠΊΡΡΡΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌ
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Understanding the use value dimensions of outsourced maintenance services
Surviving in long-term outsourced maintenance contracts in current financial situation necessitates better understanding of what customers attribute as value and its dimensions. This paper reports on findings from research undertaken with a supplier of automation products and services and its customers. Structured interviewing technique has been conducted in four customer companies from different industrial sectors at different organizational levels. Value dimensions and their role in different decision making levels are identified
Assessing the value dimensions of outsourced maintenance services
Purpose
- The purpose of this paper is to investigate the diverse nature of tangible and intangible value dimensions that contribute to customers' perception of value from outsourced maintenance services.
Design/methodology/approach
- A multiple case study approach has been adopted. Repertory grid, an in-depth structured interviewing technique, has been used in order to draw out the respondents' hidden constructs in evaluating outsourced maintenance services. Data have been collected from four customer organizations of outsourced maintenance services, and a total of 33 interviews have been undertaken.
Findings
- The paper has identified a range of tangible and intangible value dimensions that are of importance in maintenance outsourcing decision making. The most important value dimensions for maintenance outsourcing were found to be specialist knowledge, accessibility (of the service provider), relational dynamic, range of products and services, delivery, pricing and locality. Although the paper has identified the most important value dimensions the paper also emphasizes the need to take into account the full range of value dimensions in order to understand the whole value pattern in an organization.
Practical implications
- The results will be of use for maintenance service providers to help them to improve value-adding capacity of maintenance services. The results can also be applied by customers to help them assess the value they receive from outsourced maintenance services.
Originality/value
- A different perspective on maintenance outsourcing value is provided. The value patterns in different organizations and the viewpoints of respondents in different organizational roles are described. The dynamic nature of these tangible or intangible values over time and their interrelationships has also been explored
Towards an integrated perspective on fleet asset management: engineering and governance considerations
The traditional engineering perspective on asset management concentrates on the operational performance the assets. This perspective aims at managing assets through their life-cycle, from technical specification, to acquisition, operation including maintenance, and disposal. However, the engineering perspective often takes for granted organizational-level factors. For example, a focus on performance at the asset level may lead to ignore performance measures at the business unit level. The governance perspective on asset management usually concentrates on organizational factors, and measures performance in financial terms. In doing so, the governance perspective tends to ignore the engineering considerations required for optimal asset performance. These two perspectives often take each other for granted. However experience demonstrates that an exclusive focus on one or the other may lead to sub-optimal performance. For example, the two perspectives have different time frames: engineering considers the long term asset life-cycle whereas the organizational time frame is based on a yearly financial calendar. Asset fleets provide a relevant and important context to investigate the interaction between engineering and governance views on asset management as fleets have distributed system characteristics. In this project we investigate how engineering and governance perspectives can be reconciled and integrated to enable optimal asset and organizational performance in the context of asset fleets
Maintenance business model: a concept for driving performance improvement
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A value-driven method for the design of performance-based services for manufacturing equipment
Industrial services are increasingly becoming more relational and customer-oriented, due to manufacturers' adoption of servitisation approaches and product service system offerings. Challenges remain regarding the effective design and delivery of these new offerings, and the understanding of their actual value for both providers and customers. This work focuses on one specific type of product service systems in the context of manufacturing equipment: result-oriented or performance-based services, which aim at delivering an outcome rather than selling the equipment to the customer. A proposal of a value-driven method for their design that engages the customer in the process is presented. This new method has been applied to a real industrial life setting through an application case, involving the service provider and its customer, and targeting manufacturing equipment within customers' plant. Results indicate the effectiveness of this prescriptive approach. Reported benefits from participants refer to its flexibility, adaptability and applicability for different types of equipment, as well as its potential to help providing a modular service portfolio adequate to equipment specific context and requirements
Generating Knowledge in Maintenance from Experience Feedback
Knowledge is nowadays considered as a significant source of performance improvement, but may be difficult to identify, structure, analyse and reuse properly. A possible source of knowledge is in the data and information stored in various modules of industrial information systems, like CMMS (Computerized Maintenance Management Systems) for maintenance. In that context, the main objective of this paper is to propose a framework allowing to manage and generate knowledge from information on past experiences, for improving the decisions related to the maintenance activity. In that purpose, we suggest an original Experience Feedback process dedicated to maintenance, allowing to capitalize on past interventions by i) formalizing the domain knowledge and experiences using a visual knowledge representation formalism with logical foundation (Conceptual Graphs); ii) extracting new knowledge thanks to association rules mining algorithms, using an innovative interactive approach; iii) interpreting and evaluating this new knowledge thanks to the reasoning operations of Conceptual Graphs. The suggested method is illustrated on a case study based on real data dealing with the maintenance of overhead cranes