scholarly journals Assessing customs performance in the Mediterranean ports. KPI selection and Best practices identification as part of the MEDNET project

Author(s):  
Pau Morales Fusco ◽  
Sergi Saurí Marchán ◽  
Anna Maria Lekka ◽  
Iosif Karousos

The seamless flow of goods, people and investments across the Mediterranean necessitates a well-functioning port and transport system. More efficient port operations enhance seamless logistics and promote safety, efficiency, interoperability and interconnectivity of transport networks in the Mediterranean area.To promote the exchange of knowledge and expertise relevant to port and customs procedures and simplification of clearance for vessels and cargoes in the Mediterranean, the MEDNET project was launched. As part of the project a common evaluation framework for the performance of ports in the form of a set of Key Performance Indicators (KPIs) together with a list of the best practices in terms of operations and customs procedures was developed.In total, 50 ports were analyzed and given a KPI regarding traffic, financial, operational and human resources, sustainability and customs procedures. The values were latter crossed with the current good practices on operation in terms of customs procedures. And a small correlation between KPIs performance and implantation degree of good practices in customs procedures was found. This presentation exposes the methodology to assess the ports’ performance and the best practices identification.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4221

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6894
Author(s):  
Nicola-Ann Stevens ◽  
Myra Lydon ◽  
Adele H. Marshall ◽  
Su Taylor

Machine learning and statistical approaches have transformed the management of infrastructure systems such as water, energy and modern transport networks. Artificial Intelligence-based solutions allow asset owners to predict future performance and optimize maintenance routines through the use of historic performance and real-time sensor data. The industrial adoption of such methods has been limited in the management of bridges within aging transport networks. Predictive maintenance at bridge network level is particularly complex due to the considerable level of heterogeneity encompassed across various bridge types and functions. This paper reviews some of the main approaches in bridge predictive maintenance modeling and outlines the challenges in their adaptation to the future network-wide management of bridges. Survival analysis techniques have been successfully applied to predict outcomes from a homogenous data set, such as bridge deck condition. This paper considers the complexities of European road networks in terms of bridge type, function and age to present a novel application of survival analysis based on sparse data obtained from visual inspections. This research is focused on analyzing existing inspection information to establish data foundations, which will pave the way for big data utilization, and inform on key performance indicators for future network-wide structural health monitoring.


Author(s):  
Ahmad Rahman Songip ◽  
Zaini Ujang

The Ministry of Higher Education (MOHE) of Malaysia has launched its transformationinitiative, called National Higher Education Strategic Plan (NHESP) that sets the foundationtowards attaining merit and sustainability for the higher education system beyond 2020. Oneof the initiatives is for one Malaysian university to be in the top 50 of world ranking. UniversitiTeknologi Malaysia (UTM) has decided to go for this challenge.To achieve this objective, UTMhas to set a very clear and tangible target by setting challenging Key Performance Indicators(KPI). This paper summarizes the transformation initiatives that UTM undertook since 2009,the lesson learnt and good practices that other institutions of higher learning could adopt.


2020 ◽  
Vol 5 (1) ◽  
pp. 23-30
Author(s):  
Faiqoh Bahjah Lailatus Siyami ◽  
Terisa Sapta Dasyanti

Pondok Pesantren  (Islamic Boarding School) is one of the oldest pedagogical institutions in Indonesia. Pondok Pesantren Assyafiiyah is one of Islamic BoardingSchools located in the area of Madura. To be a productive Islamic Boarding School (i.e.a boarding school which fits the need of pesantren), Assyafiiyah Islamic Boarding School needs to measure the performance of the employee. In this case, it is known as Board Performance which involves human resources, strategy, and performance. To produce a superior educational institution, the implementation of Human Resource Scorecard method that has a positive and significant effect on the institution of Assyafiiyah Islamic Boarding School is very necessary. It is used as an analysis of human resource performance. It is expected that this kind performance measurement system (i.e. Human Resource Scorecard) is able to provide the best solution in improving employee performance. Try Out is given and conducted on the institution to measure the performance system achievemet of its human resources. Therefore, the Key Performance Indicators which does not reach the target can be discovered. In other words, such kind of Try Out can be used to analyze the necessary refinement and improvement of the Key Performance Indicators previously mentioned. Based on the status quo, there are two major problems in this research: 1) how is the mapping of Human Resourse Scorecard?; and 2) what are the factors influencing the optimalization of Board Performance in Assyafiiyah Islamic Boarding School through Human Resource Scorecard?


Author(s):  
Joe Don Sanders

This paper will discuss how to use Risk-Based Inspection (RBI) results to justify and manage a Corrosion Under Insulation (CUI) program that can be validated by using key performance indicators. A step-by step methodology to provide guidance on how to recognize, develop, and implement a CUI remediation program will be shared based on experience from 19 plant sites. Recommendations, based on actual plant experience, are included to facilitate the sharing of best practices and prevention of common errors.


2018 ◽  
Vol 30 (4) ◽  
pp. 491-500 ◽  
Author(s):  
Tomislav Josip Mlinarić ◽  
Boban Đorđević ◽  
Evelin Krmac

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.


10.5772/56838 ◽  
2013 ◽  
Vol 5 ◽  
pp. 29 ◽  
Author(s):  
Claudia Battista ◽  
Massimiliano M. Schiraldi

This paper describes the structure of the logistic maturity model (LMM) in detail and shows the possible improvements that can be achieved by using this model in terms of the identification of the most appropriate actions to be taken in order to increase the performance of the logistics processes in industrial companies. The paper also gives an example of the LMM's application to a famous Italian female fashion firm, which decided to use the model as a guideline for the optimization of its supply chain. Relying on a 5-level maturity staircase, specific achievement indicators as well as key performance indicators and best practices are defined and related to each logistics area/process/sub-process, allowing any user to easily and rapidly understand the more critical logistical issues in terms of process immaturity.


2018 ◽  
Vol 10 (10) ◽  
pp. 3540 ◽  
Author(s):  
Melissa Demartini ◽  
Claudia Pinna ◽  
Bahar Aliakbarian ◽  
Flavio Tonelli ◽  
Sergio Terzi

Environmental regulations and sustainable developments are forcing industries to assess, optimize and improve their processes to minimize costs and increase the efficiency of industrial sustainability dimension. This effect is more evident in the food industries due to the high impact that this sector has on environmental and economical sustainability, considering the primary role of packaging systems, the huge water consumption both for the production and the cleaning processes or the energy utilization related to the treatment plant or to the raw material production. Thus, the aim of this study was to review the current state of soft drink supply chains with respect to industrial sustainability issues. For this reason, a comprehensive literature review was performed to understand what sustainable best practices and key performance indicators are largely applied to soft drink supply chains and then a comparison with two soft drink case studies was proposed to identify if there is a positive correlation between the literature and practical activities. The proposed case studies were thoroughly analyzed highlighting how the production process impacts on sustainability and pointing out potential best practices and key performance indicators. The key conclusion of this study is, on the one hand, to depict the current set of sustainable best practices and key performance indicators which companies performed according to the literature review and, therefore, revise the actual body of the literature, and, on the other hand, to figure out which of these best (or proper) practices and key performance indicators are also implemented in the real world, helping companies to make decisions.


2020 ◽  
Vol 174 ◽  
pp. 04028
Author(s):  
Monika Jaworska ◽  
Milena Tepavicharova ◽  
Maral Yelubayeva

Lately, considerable foreign and Bulgarian investments have been attracted to the country’s quarrying industry. A number of companies are already applying the world’s best practices for exploration, extraction and processing of underground resources. There are also good practices which could and should be implemented and refined to achieve the sustainable development of the extractive industry. Currently, the Bulgarian mining enterprises are operating successfully and profitably. More than 300 companies and organizations in the field of exploration, extraction and processing of underground resources and related activities and services are operating in the industry. The development of the business organizations is largely determined by the available production resources, their quality and the efficiency of their usage. One of the main resources which differs significantly from the rest is the human resource. It possesses a certain level of qualification and professional development, crucial for the productivity and prosperity. The purpose of this article is to study and analyze the educational and vocational qualification profile of the human resources employed in the quarrying industry of Bulgaria, revealing the actual possibilities for their optimal use and development for achieving higher productivity and competitiveness.


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