Ανάλυση της συμπεριφοράς του ερασιτέχνη προπονητή ποδοσφαίρου στη διαχείριση του ημιχρόνου του αγώνα.

Σκοπός της παρούσας μελέτης ήταν να καταγραφεί και να αξιολογηθεί ο τρόπος καθοδήγησης του ερασιτέχνη προπονητή κατά τη διάρκεια του ημιχρόνου ενός ποδοσφαιρικού αγώνα. Στην έρευνα συμμετείχαν 69 ερασιτέχνες προπονητές, οι οποίοι ήταν πιστοποιημένοι από την UEFA, με διπλώματα UEFA Β (n=58) και UEFA C (n=11), ηλικίας 4110 έτη και προπονητικής εμπειρίας 11.228 έτη. Η συλλογή των δεδομένων έγινε μέσω ερωτηματολογίου, με ερωτήσεις μεικτού τύπου. Η ανάλυση έγινε με την χρήση του προγράμματος SPSS v23.0. Το 37.31% των προπονητών εργάζονταν ως επαγγελματίες προπονητές χωρίς να ασκούν παράλληλα και άλλο επάγγελμα, παρά το γεγονός ότι εργάζονταν σε ερασιτεχνικές κατηγορίες (77.22%) και ακαδημίες (15.19%) . Ο χρόνος ομιλίας των προπονητών κατά τη διάρκεια του ημιχρόνου, κυμαινόταν από 5-8’ (54.29%), ενώ ένα μεγάλο ποσοστό των ερωτηθέντων (34.29%) μιλούσαν από 9-12΄. Οι προπονητές έδιναν μεγαλύτερη έμφαση στην ομάδα τους (82.09%) σε σχέση με την αντίπαλη ομάδα (17.91%) και πιο συγκεκριμένα αναφέρονταν περισσότερο στα δυνατά της σημεία (65.22%), ενώ όταν ασχολούνταν με την αντίπαλη ομάδα, τόνιζαν τα λάθη της (79.10%). Η ποσότητα πληροφοριών που παρείχαν οι προπονητές ήταν μικρή (45.59%) εώς μέτρια (29.41%). Η ψυχολογική επίδραση διαδραμάτισε σημαντικό ρόλο ως μέσο παρακίνησης για την ανατροπή του αποτελέσματος (65.22%). Φάνηκε επίσης, ότι ο προπονητής επηρεάστηκε ελάχιστα (44.12%) ως μέτρια (30.88%) από το αποτέλεσμα του α’ ημιχρόνου. Η έρευνα αυτή παρέχει χρήσιμες πληροφορίες στους προπονητές για τον τρόπο με τον οποίο πρέπει να διαχειριστούν το ημίχρονο του αγώνα.The purpose of this study was to examine and evaluate the coaching style of the amateur coach during half time in a football match. In this study 69 amateur coach was taken part in who was been certified with UEFA B (n=58) and UEFA C (n=11) license. Data was collected through questionnaire, with mixed type questions. SPSS v23.0 fow windows was used for data analysis. The 37.31% of the coaches was worked as professional coaches despite the fact that they worked in local categories (77.22%) or in academies (15.19%). Τhe half time speech (HTS) time was between 5-8' (54.29%), while 34.29% of coaches talk for about 9-12'. Coaches emphasize in their teams (82.09%) more than the opponent team (34.29%) during HTS and especially they refer to their strong aspects (65.22%). When they refer to opponent team they focus on weak points and mistakes (79.10%). HTS volume of feedback from coaches to players was small (45.59%) to moderate (29.41%). Psychological effect plays an important role as an incentive for reversing the outcome (65.22%). Coach seems to be affected from the outcome of the first half in small (44.12%) to moderate (30.88%) rate. This research provides useful information to coaches about how they should manage the half-time in amateur football game

An Application of an Urban Freight Transportation System for Reduced Environmental Emissions

Today, there is a great need for greener urban freight transportations due to their ever-increasing environmental impact. The planet’s climate has been significantly affected as the temperature is constantly rising and extreme weather events are occurring more and more often. Aiming to reduce the environmental impact of freight transportation in urban areas, an advanced vehicle routing and scheduling system for improving urban freight transportations, has been developed. This paper presents the functionality of the advanced system, while also analyzing its subsystems and demonstrating its use in a case study. The system is provided as an integrated cloud-based software to support the needs of logistics companies, in order to efficiently schedule their deliveries and perform the routing of their vehicles. The utilized multi-objective algorithm produces solutions that minimize either the distribution cost or the environmental emissions or a combination of these parameters. An application of the system is performed for validation purposes, concerning the comparison of the system’s results with corresponding real-life data provided by a medium-sized logistics company. The results of the testing reveal its significant contribution to the reduction of the environmental impact of the company’s distribution services

A Multiobjective Large Neighborhood Search Metaheuristic for the Vehicle Routing Problem with Time Windows

The Vehicle Routing Problem with Time Windows (VRPTW) is an NP-Hard optimization problem which has been intensively studied by researchers due to its applications in real-life cases in the distribution and logistics sector. In this problem, customers define a time slot, within which they must be served by vehicles of a standard capacity. The aim is to define cost-effective routes, minimizing both the number of vehicles and the total traveled distance. When we seek to minimize both attributes at the same time, the problem is considered as multiobjective. Although numerous exact, heuristic and metaheuristic algorithms have been developed to solve the various vehicle routing problems, including the VRPTW, only a few of them face these problems as multiobjective. In the present paper, a Multiobjective Large Neighborhood Search (MOLNS) algorithm is developed to solve the VRPTW. The algorithm is implemented using the Python programming language, and it is evaluated in Solomon’s 56 benchmark instances with 100 customers, as well as in Gehring and Homberger’s benchmark instances with 1000 customers. The results obtained from the algorithm are compared to the best-published, in order to validate the algorithm’s efficiency and performance. The algorithm is proven to be efficient both in the quality of results, as it offers three new optimal solutions in Solomon’s dataset and produces near optimal results in most instances, and in terms of computational time, as, even in cases with up to 1000 customers, good quality results are obtained in less than 15 min. Having the potential to effectively solve real life distribution problems, the present paper also discusses a practical real-life application of this algorithm