scholarly journals Evaluation Framework for Key Performance Indicators of Railway ITS

2018 ◽  
Vol 30 (4) ◽  
pp. 491-500 ◽  
Author(s):  
Tomislav Josip Mlinarić ◽  
Boban Đorđević ◽  
Evelin Krmac
Keyword(s):  
Analytical Hierarchy Process ◽  
Performance Indicators ◽  
Intelligent Transportation Systems ◽  
Swot Analysis ◽  
Intelligent Transportation ◽  
Key Performance Indicators ◽  
Transportation Systems ◽  
Evaluation Framework ◽  
Mode Of Transportation ◽  
Hierarchy Process

The aim of this study is to develop a framework for investigating a comprehensive set of Key Performance Indicators (KPIs) for the assessment of railway Intelligent Transportation Systems (ITS). The framework is established through four main steps: (1) development of a comprehensive set of KPIs for railway ITS; (2) validation of developed KPIs and collection of judgments from experts through a Delphi questionnaire; (3) evaluation of KPIs weights for assessing railway ITS with the Group Analytical Hierarchy Process (GAHP); and (4) presentation of a SWOT analysis for the developed KPIs by the authors. The results of the framework are presented as a set of 25 indicators for evaluation of railway ITS and their impacts. The framework could be helpful for selecting KPIs of ITS in another mode of transportation. Monitoring of the contributions of ITS towards sustainable railway can be achieved by a developed set of indicators which are classified in accordance with sustainable dimensions.

scholarly journals An Evaluation of Indicators of Railway Intelligent Transportation Systems using the Group Analytic Hierarchy Process

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Evelin Krmac ◽  
Boban Djordjević
Keyword(s):  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Key Performance Indicators ◽  
Transportation Systems ◽  
Analytic Hierarchy ◽  
Expert Opinions ◽  
Hierarchy Process

Intelligent Transportation Systems (ITS) have a significant and promising role in the overall improvement of transport performances. However, in the absence of a set of key performance indicators (KPI), it is very difficult to evaluate ITS and the effects of their application objectively. Therefore, the first aim of the paper is to develop an appropriate KPIs for assessment of railway ITS and the monitoring of their impacts. Based on that, a tool for the evaluation of the importance of these indicators is proposed. For that purpose a set of twenty-four indicators was grouped by topics under the economic, social, and environmental dimensions of sustainability. The paper thoroughly describes their development and classification. An evaluation of indicators based on expert opinions via the Group Analytic Hierarchy Process (GAHP) method is presented. Results obtained by the GAHP method illustrate the importance or significance of indicators for railway ITS.

scholarly journals PERANCANGAN KEY PERFORMANCE INDICATORS KINERJA SUPPLY CHAIN PT. XYZ DENGAN PENDEKATAN BALANCED SCORECARD

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Joko Hardono
Keyword(s):  
Supply Chain ◽  
Balanced Scorecard ◽  
Analytical Hierarchy Process ◽  
Performance Indicators ◽  
Performance Indicator ◽  
Key Performance Indicators ◽  
Key Performance Indicator ◽  
Hierarchy Process

Pengukuran kinerja Supply Chain PT. XYZ hanya melihat dari produktivitas perusahaan. Produktivitas hanya mampu mengukur kinerja proses internal, pada proses internal dalam satu hubungan rantai pasok. Perusahaan perlu merancang model pengukuran kinerja supply chain secara keseluruhan dan terintegrasi dalam suatu hubungan kausal, mulai dari pemasok, proses internal kepada pelanggan, untuk mengetahui efektivitas perusahaan rantai pasokan. balanced scorecard memenuhi perspektif yang diperlukan. Model balanced scorecard digunakan sebagai kerangka kerja untuk merancang Key Performance Indicator (KPI) dari kinerja supply chain PT. XYZ. KPI adalah desain berdasarkan 4 perspektif, yaitu: proses internal, pelanggan, pembelajaran dan pertumbuhan dan perspektif keuangan. Pembobotan untuk menentukan prioritas antara perspektif dan KPI dilakukan dengan menggunakan Analytical Hierarchy Process (AHP). Hasil dari analisis dihasilkan 20 KPI. perspektif proses internal yang berisi 9 KPI dengan berat total 21,0%, perspektif pelanggan berisi 6 KPI dengan berat total 42,6%, Belajar dan perspektif pertumbuhan berisi 4 KPI dengan berat total 17,5%, perspektif Pemegang Saham mengandung 1 KPI dengan total berat 19,0. Kata kunci: Key Performance Indicator, Supply Chain, Balanced Scorecard, Analytical Hierarchy proceses

Using the Canadian ITS architecture for evaluating the safety benefits of intelligent transportation systems

2003 ◽  
Vol 30 (6) ◽  
pp. 970-980 ◽  
Author(s):  
Homayoun Vahidi ◽  
Tarek Sayed
Keyword(s):  
Intelligent Transportation Systems ◽  
Safety Evaluation ◽  
Intelligent Transportation ◽  
World Market ◽  
Transportation Systems ◽  
Evaluation Framework ◽  
Transportation Safety ◽  
Unique Framework ◽  
Annual World

The benefits of intelligent transportation systems (ITS) are indirectly represented by the annual world market for ITS, which according to ITS Canada (2002) will be $90 billion CAN by 2011. Improved safety is often cited as the top goal of implementing ITS. Despite the magnitude of these investments and their underlying goal to improve transportation safety, there are deficiencies in the quantity and quality of reported ITS safety benefits. Many of the benefits reported to date suffer from poor data, lack of an evaluation framework, and inconsistent terminology used to attribute benefits to ITS application areas. This paper explores these issues, while attempting to address one of them, namely the lack of an evaluation framework for assessing the safety benefits of ITS. Accordingly, a unique framework is developed based on the Canadian ITS architecture. The framework includes the identification of evaluation metrics that are mapped to the market packages in the Canadian ITS architecture and correlated with each other to capture the "cause" and "effect" flow of benefits. This framework will benefit future ITS safety evaluations by providing a structure for undertaking evaluations using terminology consistent with the Canadian ITS architecture.Key words: intelligent transportation systems, ITS architecture, safety benefits, safety evaluation.

scholarly journals EVALUASI KINERJA PROGRAM STUDI PENDIDIKAN TEKNIK MESIN FKIP UNS MENGGUNAKAN METODE INTEGRATED PERFORMANCE MEASUREMENT SYSTEMS (IPMS)

2017 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Bekti Khonaah ◽  
Suharno Suharno ◽  
Budi Harjanto
Keyword(s):  
Performance Measurement ◽  
Analytical Hierarchy Process ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Measurement Systems ◽  
Performance Measurement Systems ◽  
Integrated Performance ◽  
Hierarchy Process

<p>Penelitian ini bertujuan untuk mengevaluasi kinerja dari Program Studi Pendidikan Teknik Mesin. Metode yang digunakan pada penelitian ini adalah (1) <em>Integrated Performance Measurement Systems</em> (<em>IPMS</em>) yang tujuan utamanya adalah merancang sistem pengukuran; (2) <em>Analytical Hierarchy Process</em> (<em>AHP</em>) yang bertujuan untuk melakukan pembobotan indikator; dan (3) <em>Objective Matrix</em> (<em>OMAX</em>) yang bertujuan untuk melakukan pengukuran kinerja. Hasil dari penelitian ini adalah sebagai berikut. <em>Pertama</em>, hasil rancangan pengukuran kinerja terdiri dari 14 indikator yang termasuk dalam 6 kriteria perspektif pengukuran kinerja. <em>Kedua</em>, tingkat kinerja pada tiap <em>Key Performance Indicators</em> (<em>KPI</em>) yang paling tinggi adalah indikator tersedia instrumen baku untuk mengukur kinerja dosen dalam perkuliahan, sedangkan kinerja yang paling rendah adalah indikator 95% lembar Berita Acara Perkuliahan (BAP). Kinerja Program Studi Pendidikan Teknik Mesin secara keseluruhan memiliki indeks kinerja sebesar 5,055, sehingga kinerja pada Program Studi Pendidikan Teknik Mesin masuk dalam kategori mengalami peningkatan kinerja. <em>Ketiga</em>, kinerja yang perlu ditingkatkan pada Program Studi Pendidikan Teknik Mesin Universitas Sebelas Maret Surakarta terdapat 8 <em>Key Performance Indicators</em> (<em>KPI</em>).  Kinerja yang perlu diperbaiki pada Program Studi Pendidikan Teknik Mesin Universitas Sebelas Maret Surakarta adalah 95% lembar Berita Acara Perkuliahan  (BAP) terisi.</p><p> </p><p><strong>Kata Kunci</strong>: pengukuran kinerja, <em>IPMS</em>, <em>AHP</em>, Pendidikan Teknik Mesin, <em>KPI</em>.</p>

scholarly journals Evaluasi Kinerja Pemeliharaan PLTA dengan Pendekatan Maintenance Scorecard dan Objective Matrix (OMAX) (Studi Kasus Unit Pembangkit Listrik Tenaga Air Maninjau)

2016 ◽  
Vol 13 (1) ◽  
pp. 562
Author(s):  
Taufik Taufik ◽  
Afrizal Afrizal
Keyword(s):  
Analytical Hierarchy Process ◽  
Performance Indicators ◽  
Power Plants ◽  
Work Performance ◽  
Electrical Energy ◽  
Key Performance Indicators ◽  
Force Factor ◽  
Maintenance Work ◽  
Operation Results ◽  
Hierarchy Process

Hydropower is one of the power plants that supplies electrical energy. It has several machines and equipment that have a time limit of use. To anticipate the limitation of the use, maintenance of machinery and equipment are needed in order to return its original state and can perform its function as usual. Therefore some indicators required to determine maintenance work performance level to provide the optimal results. The Traditional measurement methods have some limitations that make it difficult to implement in industrial environments. This requires a performance measurement method that can provide a balanced perspective on the overall system performance. One of them is implementing the Maintenance Scorecard and Objective Matrix (OMAX) method to assess the performance of hydropower maintenance. Objective research in this assessment is to integrate Maintenance Scorecard and Objective Matrix (OMAX) approach in Maninjau Hydropower. Key Performance Indicators (KPI) are defined by 6 perspectives: productivity perspective, cost effectiveness perspective, a safety perspective, an environmental perspective, quality perspective and learning perspective. The priorities are determined by using Analytical Hierarchy Process (AHP). We then measure the performance of maintenance by using Objective Matrix (OMAX) until we get the level of achievement of the performance in the current situation.The results obtained in the process of designing the scorecard maintenance on the Maninjau hydropower that produces overall 20 KPI consists of 9 KPI for productivity perspective, 4 KPI for quality perspective, 2 KPI for safety perspective, 2 KPI for environmental perspective and 3 KPIs for learning perspective. There are 5 KPIs for corporate level, 8 KPIs for strategic level and 7 KPIs functional level. The operation results show the number of KWH that produced, Capacity Factor and Equivalent Outage Force Factor are in the yellow zone. It means the attentions and improvements are needed to improve performance in the next period.Keywords: Maintenance Scorecard, Analitycal Hierarchy Process, Objective MatrixAbstractPembangkit Listrik Tenaga Air (PLTA) merupakan salah satu jenis pembangkit listrik. Pembangkit tersebut memiliki serangkaian mesin dan peralatan yang memiliki umur pemakaian tertentu. Sebagai langkah antisipasi terhadap habisnya umur pakai tersebut, diperlukan kegiatan perawatan untuk mengembalikan kondisi mesin dan peralatan sehingga bisa menjalankan fungsinya dengan lancar. Beberapa indikator dibutuhkan untuk menentukan tingkat kinerja aktivitas perawatan agar kegiatan perawatan yang dilakukan dapat memberikan hasil yang optimal. Metode pengukuran tradisional memiliki keterbatasan yang menjadikannya sulit diimplementasikan dalam lingkungan industri. Oleh karena itu dibutuhkan metode pengukuran performansi yang dapat melakukan penilaian dari berbagai perspektif secara seimbang terhadap kinerja sistem secara keseluruhan. Salah satu caranya adalah dengan menerapkan metode Maintenance Scorecard dan Objective Matrix (OMAX) untuk menilai kinerja perawatan PLTA. Tujuan penelitian dalam penilaian ini adalah untuk mengintegrasikan pendekatan Maintenance Scorecard dan OMAX pada PLTA Maninjau. Key Performance Indicators (KPI) didefinisikan dari 6 perspektif: perspektif produktivitas, perspektif efektifitas biaya, perspektif keselamatan kerja, perspektif lingkungan, perspektif kualitas dan perspektif pembelajaran. Prioritas ditentukan menggunakan Analytical Hierarchy Process (AHP). Kinerja perawatan kemudian diukur menggunakan OMAX sampai diperoleh tingkat kinerja pada kondisi nyata. Hasil yang diperoleh kemudian digunakan untuk merancang maintenance scorecard bagi PLTA Maninjau, menghasilkan 20 KPI yang terdiri atas 9 KPI untuk perspektif produktivitas, 4 KPI untuk perspektif kualitas, 2 KPI untuk perspektif keselamatan kerja, 2 KPI untuk perspektif lingkungan dan 3 KPI untuk perspektif pembelajaran. Terdapat 5 KPI untuk level korporat, 8 KPI untuk level strategis dan 7 KPI untuk level fungsional. Hasil penilaian menunjukkan bahwa Jumlah KWH yang diproduksi, Faktor kapasitas dan Equivalent Outage Force Factor berada pada zona kuning. Hal ini berarti bahwa dibutuhkan perhatian dan peningkatan untuk periode selanjutnya.Kata Kunci: Maintenance Scorecard, Analitycal Hierarchy Process, Objective Matrix

scholarly journals Development of a Decision Making Algorithm for Traffic Jams Reduction Applied to Intelligent Transportation Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-16
Author(s):  
David Gómez ◽  
José-Fernán Martínez ◽  
Juana Sendra ◽  
Gregorio Rubio
Keyword(s):  
Decision Making ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Analytic Hierarchy ◽  
Traffic Jams ◽  
Traffic Management System ◽  
Smart Traffic ◽  
Hierarchy Process

This paper is aimed at developing a decision making algorithm for traffic jams reduction that can be applied to Intelligent Transportation Systems. To do so, these algorithms must address two main challenges that arise in this context. On one hand, there are uncertainties in the data received from sensor networks produced by incomplete information or because the information loses some of the precision during information processing and display. On the other hand, there is the variability of the context in which these types of systems are operating. More specifically, Analytic Hierarchy Process (AHP) algorithm has been adapted to ITS, taking into account the mentioned challenges. After explaining the proposed decision making method, it is validated in a specific scenario: a smart traffic management system.

scholarly journals Perancangan Sistem Pengukuran Kinerja pada Koperasi Koperasi Karyawaan Redrying dengan Menggunakan Metode Balanced Scorecard dan Analitical Hierarchical Process di Bojonegoro

2014 ◽  
Vol 2 (1) ◽  
pp. 104-123
Author(s):  
Indrianawati Usman ◽  
Mohammad Agung Laksono
Keyword(s):  
Balanced Scorecard ◽  
Analytical Hierarchy Process ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Strategy Map ◽  
Hierarchy Process

Balanced Scorecard menyediakan kerangka komprehensif yang dapat menterjemahkan tujuan strategi perusahaan kedalam set pengukuran kinerja perusahaan secara menyeluruh, sehingga sangat membantu pimpinan peruahaan dalam mengimplementasikan strateginya secara efektif. Koperasi Karyawaan Redrying Bojonegoro merupakan bisnis yang sedang berkembang pesat dengan banyak unit usaha. Penelitian ini bertujuan untuk merancang sistem pengukuran kinerja dengan metode balanced scorecard pada Koperasi. Hal ini dikarenakan balanced scorecard mengukur kinerja perusahaan dari aspek keuangan dan non keuangan, internal maupun eksternal. Penelitian ini dilakukan dilakukan dengan men-translate visi, misi, tujuan koperasi kedalam sasaran strategik dan menyusun kedalam strategy map. Kemudian menentukan Key Performance Indicators dan validasi oleh pengurus secara focus discision group dengan dilanjutkan pembobotan KPI dengan metode Analytical Hierarchy Process. Hasil dari ini tersusunlah model balanced sorecard koperasi dengan 14 KPI dari 10 leg indicators dan hasil pembobotan KPI dengan AHP diperoleh bahwa perspektif keuangan memiliki hasil pembobotan tertinggi dengan nilai 0.418; peringkat kedua perspektif Pelanggan dengan nilai 0.271; peringkat ketiga perspektif Pemebelajaran dan Pertumbuhan 0.191; dan prioritas terakhir adalah perspektif proses bisnis internal dengan nilai 0.120. Keywords : Sistem Pengukuran Kinerja, Balanced Scorecard, Analytical Hierarchy Process, Koperasi

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