Measurement and optimization of multi-attribute characteristics in milling epoxy granite composites using rsm and combined ahp-topsis

Epoxy granite composites with its wide range of applications in machine tool industries are manufactured by molding process and require post cast machining operations to meet the desired dimensional accuracy for assembly of machine tool structures. In this research work, milling of epoxy granite composites are carried out based on the experimental design from Response Surface Methodology (RSM) techniques and further the optimal solutions are determined by a novel hybrid algorithm AHP-TOPSIS. Central Composite Design (CCD) model is applied with three factors-three levels and the measured output responses are thrust force, tangential force and surface roughness. Experimental combinations of 20 different trials are performed using high speed steel end mill cutter of diameter 10mm with three levels of input parameters: speed; fibre content and feed rate at a uniform depth of cut. The relative importance matrix formulated proved to be highly consistent with its consistency ratio to a maximum of 0.000641 which lies below the higher range of 0.1. Consistency ratio of 0.000641 reveals that the optimal solutions determined will be highly reliable and the decision making is much more judicious. Optimal solution determined from hybrid AHP-TOPSIS methods are: speed 1800 rpm; feed rate 0.03 m/min and 0% percent fibre content. Functional relationships among parameters and responses established by RSM are consistent upto 95% and its significance is tested by analysis of variance. Comparison among predicted and experimental values of three measured responses convey that the percentage variations are minimum with up to 2.03% for surface roughness, 2.50% for thrust force and 2.71% for tangential force components. This research work provides a systematic procedure and clear framework for determination of optimal machining conditions by hybrid methodology on the basis of technique for order preference by similarity to ideal solution (TOPSIS) combined with analytical hierarchy procedure (AHP) for attribute weights and further analyzes the influence of machining parameters over measured responses.

ANALISIS FAKTOR PRIORITAS PENGEMBANGAN KOMODITAS PERKEBUNAN UNGGULAN DENGAN METODE AHP (ANALTYCAL HIERARCHY PROCESS

This study aims to determine the priority factors in the development of plantation commodities, including cocoa, coffee, coconut, and oil palm as substitutes in East Kolaka District-Southeast Sulawesi.The method used is the analytic hierarchy process (AHP) of expert choice software 11. The AHP method includes: (a) developing a hierarchy; (b) determining priorities, and (c) calculating the consistency ratio (CR). The consistency ratio test (CR) of Expert Choice 11software on priority factors in the development of leading plantation commodities was obtained from each resource person (informant) from: (a) the Department of Agriculture; (b) Plantation Service; (c) Trade, Industry, Small and Medium Enterprises Office; (d) traders; (e) Gapoktan; (f) banking, and (g) academics. The study shows acceptable or consistent results because of CR<0.100. AHP analysis indicates that the priority factors for developing superior plantation commodities in East Kolaka Regency include: (a) feasible for business development (LBPB) 26.7%; (b) contribution of community income (KPM) 18.0%; (c) Added value (NT) 13.3%; (d) local government policies (KPD) 11.0%; (e) land suitability (KL) 10.5%; (f) market orientation (OP) 10.7%; and (g) non-conformance with environmentally friendly standards (RL) 9.7%. Keywords: analytical hierarchy process (AHP), expert choice 11, superior plantation commodities

Διερεύνηση προδιαγραφών μελετών γεωλογικής καταλληλότητας σε προς πολεοδόμηση περιοχές

Η καταλληλόλητα μιας περιοχής που προτείνεται προς πολεοδόμηση - δημιουργία ενός νέου οικισμού ή επέκταση ενός υπάρχοντος καθώς και ανάπτυξη μεμονωμένων τοπικών ρυμοτομικών σχεδίων - καθορίζεται από μια σειρά παραγόντων. Η έλλειψη συστημικής κατηγοριοποίησης αυτών καθώς και η πλήρης ανυπαρξία ποσοτικοποίησης του βαθμού, με τον οποίο κάθε μια εξ αυτών επηρεάζει την οικιστική/οικοδομική δραστηριότητα μιας περιοχής, δημιουργούν δυσκολίες στη συστηματική και τεκμηριωμένη λήψη αποφάσεων. Παρόλο που θεσμοθετημένα έχουν τεθεί οι βασικές τεχνικές προδιαγραφές και παραδοχές, που διέπουν τις μελέτες γεωλογικής καταλληλόλητας, παρατηρούνται στην εφαρμογή αυτών αρκετά προβλήματα και αδυναμίες. Η εθνική νομοθεσία αποδεικνύεται αποσπασματική και παρωχημένη, καθώς αποφάσεις 20 ετίας αντιμετωπίζουν μονομερώς κρίσιμα θέματα πολεοδόμησης. Το πολυσχιδές ανάγλυφο του Ελλαδικού χώρου, η έντονη παρουσία αρχαιολογικών χώρων, η ύπαρξη δασικών περιοχών και η σεισμικότητα (παρουσία ρηγμάτων) σε συνδυασμό με την παρουσία επιφανειακών, επιδερμικών, υπόγειων και παράκτιων υδάτων συνθέτουν το ιδανικό πεδίο για την εφαρμογή μιας ολιστικής μεθοδολογικής προσέγγισης του προβλήματος. Πλεονεκτήματα της προτεινόμενης επιστημονικής διερεύνησης είναι η δυνατότητα ανάπτυξης διαφορετικών σεναρίων - ανά περίπτωση - ώστε να λαμβάνονται υπόψη παράγοντες που εκφράζουν τις εκάστοτε επιχειρησιακές και επιχειρηματικές κατευθύνσεις. Η παρούσα μελέτη εστιάζει στην ανάπτυξη ενός μοντέλου πολυκριτηριακής ανάλυσης βασισμένο στη μέθοδο της Αναλυτικής Ιεραρχικής Διαδικασίας (Analytic Hierarchy Process - AHP). Η εφαρμογή της AHP, επιτρέπει την αξιολόγηση και την ιεράρχηση των υπό εξέταση εναλλακτικών για πολεοδόμηση περιοχών με βάση τη σχετική σημαντικότητα των παραγόντων του μοντέλου. Η εγκυρότητά του προτεινόμενου μοντέλου ελέγχεται, υπολογίζοντας το βαθμό συνέπειας (Consistency Ratio-CR) του και παράλληλα, μέσω της αξιολόγησης τριών ενδεχόμενων σεναρίων πολεοδομικής επέκτασης της περιοχής του Λουτρακίου. Η τεχνοοικονομική διάσταση του μοντέλου επιτρέπει τη χάραξη πολιτικής με διαφανή και αξιόπιστο τρόπο.

Model Sistem Pendukung Keputusan Penentuan Prioritas Perbaikan Produk Elektrikal Dan Mekanikal Dengan Metode AHP Pada Industeri Elektrikal Dan Mekanikal

PT. Nusa Abadi Elektrika merupakan perusahaan yang bergerak dibidang industri elektrikal dan mekanikal produk seperti penyedia barang dan jasa perbaikan serta ahli dalam instalisasi tenaga listrik menengah dan tinggi. Sistem yang berjalan pada PT. Nusa Abadi Elektrika saat ini dapat dikatakan belum berjalan dengan baik khususnya dibagian administrasi dalam melakukan pekerjaannya, administrasi mengalami kesulitan untuk menentukan produk elektrikal dan mekanikal mana yang akan diperbaiki telebih dahulu, dan dalam proses perbaikan. Penelitian ini menggunakan metode Analythical Hierarchy Process (AHP) untuk membuat model Sistem Pendukung Keputusan (SPK) untuk menentukan alternatif terbaik berdasarkan beberapa kriteria yang ada dan menentukan prioritas utama dalam proses pengambilan keputusan perbaikan produk elektrikal dan mekanikal. Penelitian ini terdapat 3 kriteria, yaitu biaya perbaikan, tingkat kesulitan perbaikan dan waktu pengerjaan barang. Hasil pengujian perhitungan dengan metode AHP dalam menentukan keputusan prioritas perbaikan produk ini menghasilkan perangkingan dengan Consistency Ratio (CR) masing-masing normalisasi matriks tidak melebihi 0,1 atau 10% dan dapat dikatakan konsisten. Model SPK penggunaan metode AHP ini untuk memudahkan penyelesaian pekerjaan lebih obyektif. Kata Kunci: Sistem Pendukung Keputusan, Administrasi, Analythical Hierarchy Process (AHP)

ANP and ELECTRE Methods for Determine New Student Admissions

Higher Education is a level of education after High School which selects new students based on achievement, report cards, and tests. Admission selection was based on report cards. Number of indicators and who register make it difficult for determine which students are accepted in education. Multi criteria Group Decision Making (MCGDM) is decision-making method to determine best alternative from a number of alternatives based on certain criteria. In this study, MCGDM used is Analytic Network Process (ANP) and Elimination and Choice Expression Reality (ELECTRE). ANP model is a development of AHP and requires linkages between criteria using a network. ELECTRE is method based concept of ranking through pairwise comparisons between alternatives on the appropriate criteria. Contribution is integration ANP and ELECTRE methods based on group, by determining decisions based on consistency ratio. The results of testing level consistency ratio, group-based ANP-ELECTRE can be applied to assessment selection at Electrical Engineering with highest accuracy of 86.36%.

Proposed Method for Supplier Selection

The use of the Analytical Hierarchy Process (AHP) is frequent in supplier selection. First, AHP is a pairwise comparison between criteria. If the pairwise comparisons are inconsistent, the result is invalid. Thus, the process of comparing criteria must be repeated continuously until valid results are obtained. This process takes time and costs so it is considered inefficient. This research proposes the application of the Hamilton chain process into the pairwise comparison matrix. One criterion is symbolized as a knot, while the arc is symbolized as the pairwise comparison value between the two nodes or the connected criterion. In the network model of the AHP method, each node is connected to all other nodes without exception. Whereas in the proposed method, each criterion or node is compared only once. That said, avoiding inconsistencies can be made. The consistency ratio result of the proposed method is found to be consistent

Key factors of success in the application of last planner system in construction work

This study aims to identify what factors are the key to the successful implementation of the Last Planner System in construction work based on existing journals to be applied in the construction environment and determine the priority weight / key factors of success from the questionnaire results from experts with the Analytic method Hierarchy Process. The method used in this study uses the Analytic Hierarchy Process to find priority weights and software uses Expert Choice. From the results of the analysis obtained Key Success Factors in construction work, namely as many as 10 criteria where stakeholder criteria with the highest priority weight with a global weight of 0.2279 which have a value of consistency ratio below 0.1 or 10%, ie 0.08 or 8%, then an evaluation of the comparison pairing between criteria is consistent and as many as 24 sub-criteria where the sub-criteria of stakeholder support for the implementation of LPS with the highest priority weighting with a global weight of 0.1812 which has a consistency ratio below 0.1 or 10% ie 0.07 or 7%, then an assessment of pairwise comparisons between sub criteria are consistent.

A Concentration Ratio for Nonlinear Best Worst Method

Best Worst Method (BWM) is a multi-criteria decision-making method that is based on a structured pairwise comparison system. It uses two pairwise comparison vectors (best-to-others and others-to-worst) as input for an optimization model to get the optimal weights of the criteria (or alternatives). The original BWM involves a nonlinear model that sometimes results in multiple optimal weights meaning that the weight of each criterion is presented as an interval. The aim of this paper is to introduce a ratio, called concentration ratio, to check the concentration of the optimal intervals obtained from the nonlinear BWM. The relationship between the concentration ratio and the consistency ratio is investigated and it is found that the concentration ratio along with the consistency ratio of the model provides enhanced insights into the reliability and flexibility of the results of BWM.

COMPARISON AND ANALYSIS OF THE ACCURACY OF GEE PLATFORM PIXEL-BASED SUPERVISED CLASSIFICATION-TAKING SHANDONG PROVINCE AS AN EXAMPLE

Remote sensing is going through a basic transformation, in which a wide array of data-rich applications is gradually taking the place of methods interpreting one or two imageries. These applications have been greatly facilitated by Google Earth Engine (GEE), which provides both imagery access and a platform for advanced analysis techniques. Within the field of land cover classification, GEE provides the ability to create fast new classifications, particularly at global extents. Despite the role of indices and other ancillary data in classification, GEE platform pixel-based supervised classification (GEE-PBSC), as a relatively fast and common classification method in remote sensing, was not directly analysed and assessed about accuracy in current researches. We ask how high the classification accuracy of GEE-PBSC is, and which type of land cover is more suitable to be classified by GEE-PBSC method with a credible accuracy. Here we adopt GEE-PBSC method to classify Landsat 5 TM imageries in Shandong province in 2010, and compare the result with GlobeLand30 product in 2010 from three aspects: type composition, type confusion and spatial consistency to assess the classification accuracy. Before the comparison, multiple cross-validation, which shows that the overall average test accuracy is about 74%, is required to ensure the reliability. The comparison experiment shows that the spatial consistency ratio of artificial surface, cultivated land and water is about 99.30%, 85.78% and 73.02% respectively. The pixel purity of artificial surface and cultivated land is about 90.26% and 81.45% respectively. The overall spatial consistency ratio is about 82.04%. Although the GEE-PBSC method can achieve high test accuracy, the result is still far from GlobeLand30 product in 2010. Because the GEE-PBSC only uses the pixel information of imageries and does not integrate other multi-source data to assist classification. In addition, classification result also shows that using GEE-PBSC to classify artificial surface and cropland has obvious advantages over other land classes, and their classification results is close to GlobeLand30.