Benchmarking and Performance Analysis for Distributed Cache Systems: A Comparative Case Study

2017 ◽  
pp. 147-163 ◽  
Author(s):  
Haytham Salhi ◽  
Feras Odeh ◽  
Rabee Nasser ◽  
Adel Taweel
Keyword(s):  
Performance Analysis ◽  
Comparative Case Study ◽  
And Performance ◽  
Distributed Cache

Designing and performance analysis of solar tracker system: a case study of Çukurova region

2021 ◽  
pp. 165-184
Author(s):  
Hakan Alici ◽  
Burak Esenboga ◽  
Irfan Oktem ◽  
Tugce Demirdelen ◽  
Mehmet Tumay
Keyword(s):  
Performance Analysis ◽  
System A ◽  
Solar Tracker ◽  
And Performance

scholarly journals PELAYANAN PELABUHAN PERIKANAN NUSANTARA (PPN) TERHADAP KEBUTUHAN OPERASI PENANGKAPAN IKAN

2020 ◽  
Vol 2 (1) ◽  
pp. 41
Author(s):  
Diniah Diniah ◽  
Mochammad Prihatna Sobari ◽  
Dede Seftian
Keyword(s):  
Performance Analysis ◽  
Customer Satisfaction ◽  
Study Data ◽  
Satisfaction Level ◽  
Purposive Sampling ◽  
Satisfaction Index ◽  
Customer Satisfaction Index ◽  
Interest Level ◽  
And Performance

Penelitian yang bertujuan melihat kinerja pelayanan dan mengukur tingkat kepuasan nelayan telah dilakukan di PPN Karangantu kota Serang tahun 2011. Metode penelitian menggunakan studi kasus. Metoda pengambilan data dilakukan secara purposive sampling. Metode analisis data menggunakan analisis tingkat kepentingan dan pelaksanaan dengan menggunakan importance and performance analysis (IPA) dan CSI (customer satisfaction index). Hasil penelitian menunjukkan bahwa berdasarkan IPA diperoleh indeks kepentingan berkisar antara 4,03 – 4,30, sedangkan indeks kinerja berkisar antara 2,08 – 3,72 Tingkat kepuasan nelayan terhadap pelayanan PPN Karangantu berkisar antara 0,41 – 0,74. Pelayanan terhadap nelayan yang masih dirasakan kurang baik adalah pelayanan kebutuhan solar dengan nilai 0,41 dan pelayanan kebutuhan es dengan nilai 0,44. Title: Archipelago Fishing Port (AFP) Service Toward Operational Fishing NeedResearch purposed to observe service performance and to measure satisfaction level of fishermen have been conducted at Archiplego Fishing Port of Karangantu, Serang, in 2011. Method of the study is case study. Data is taken by purposive sampling. Data analysis method employs analysis of interest level and application by using important and performance analysis (IPA) and CSI (Customer Satisfaction Index). Based on IPA, the study shows that interest index range between 4.03 – 4.30, while performance index range between 2.08 – 3.72. Fishers satisfaction level toward AFP Karangantu range between 0.41 – 0.74. Unfavourable service to fishers is solar oil need service valued 0.41 and ice need service valued 0.44.

scholarly journals A Conceptual Model for Deploying E-Service in SMEs through Capability Building: A Comparative Case Study

2021 ◽  
Author(s):  
Zuhara Chavez ◽  
Jannicke Baalsrud Hauge ◽  
Monica Bellgran ◽  
Alvis Sokolovs
Keyword(s):  
Conceptual Model ◽  
Digital Transformation ◽  
Lessons Learned ◽  
Comparative Case Study ◽  
Monitoring And Control ◽  
Study Approach ◽  
Implementation Model ◽  
Production Processes ◽  
And Performance

This paper proposes a conceptual implementation model for small and medium enterprises (SMEs) to follow as part of their digital transformation. The conceptual model can be translated into a practical step-by-step guide for SMEs to apply during their digital transformation. The model is based on gradually developing industrial capabilities that can influence production processes performance. We employed a comparative case study approach to capture the lessons learned by SMEs in their journey to develop and implement a production digitalization system for deviation management and performance improvement. The model was validated in the cases of study capturing the actual SMEs’ needs. Managerial capabilities of production processes such as monitoring and control demonstrate to influence the performance positively. The proposed model aims for a full digital transformation by following a gradual approach to being resource-efficient and integrating their business needs. This paper is an extension of work originally presented in APMS 2020, IFIP AICT 592.

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