Determination of Weight Values for Assessment Indexes of Engineering Materials Based on Fuzzy Pairwise Comparison Method

2013 ◽  
Vol 680 ◽  
pp. 109-112
Author(s):  
Min Li ◽  
Yu Jun Ma
Keyword(s):  
Low Temperature ◽  
Analytical Hierarchy Process ◽  
Storage Tank ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Thought Pattern ◽  
Engineering Materials ◽  
Hierarchy Process ◽  
Fuzzy Pairwise Comparison

This paper uses fuzzy pairwise comparison method to determine the weight values of assessment indexes of low temperature material of storage tank, which is proposed based on Chinese traditional complementary thought pattern by Chen Shouyu. For the little difference between the results of study by this method mentioned in this paper and analytical hierarchy process, the main reason in essence is given finally.

scholarly journals ANALYSIS OF SUPPLIER SELECTION OF CORN STARCH RAW MATERIAL FOR CREAMER PRODUCTION ON KOPIKO AND TORABIKA ITEMS USING THE ANALYTICAL HIERARCHY PROCESS (AHP) METHOD (Case Study Of PT. Mayora Indah Tbk)

2019 ◽  
Vol 1 (2) ◽  
pp. 108-123
Author(s):  
Maksi Prima Dewi ◽  
Hasmand Zusi
Keyword(s):  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Corn Starch ◽  
Geographical Location ◽  
Pairwise Comparison ◽  
Raw Material ◽  
Pairwise Comparison Matrix ◽  
Level Of Experience ◽  
Hierarchy Process

This thesis is compiled to analyze supplier selection in Mayora Group, which is a Fast Moving Consumer Goods (FMCG) company, with the object of research using Corn Starch as raw material for making glucose creamer on Kopiko and Torabika items. Based on the criteria that have previously been used by the company, the researcher develops the criteria, sub-criteria for supplier selection and supplier classification as well as consistency test from respondents’ answers based on the level of experience and competence of the 4 departments related to the procurement process of raw material imports so that priority suppliers are selected from the current existing suppliers. The determination of supplier selection criteria is calculated based on the weight of the criteria. This criterion weighting is applied through the Analytical Hierarchy Process method. Based on the results of the study, 7 criteria are obtained for the supplier selection, in order of the highest to the lowest priority: Quality, Price, Document Completeness, Delivery, Service, Company Condition, and Geographical location. The value of consistency ratio (CR) in the pairwise comparison matrix of the criteria, sub-criteria, and alternatives of the results of the respondent’s questionnaire answers is within the tolerance limit, so that it is included in the valid and consistent category.

POTENSI PENGEMBANGAN SADE SEBAGAI DESA WISATA LOMBOK

2016 ◽  
Vol 20 (2) ◽  
pp. 69-82
Author(s):  
W. Suprihatin ◽  
H. Hailuddin
Keyword(s):  
Analytical Hierarchy Process ◽  
Environmental Aspect ◽  
Priority Level ◽  
Highest Weight ◽  
Local Tradition ◽  
Tourist Village ◽  
Hierarchy Process ◽  
Initial Pattern

The background of the problems in this study is the decreasing quality of Sade hamlet amid rising tourist arrivals. From the environmental aspect, the conditions of the hamlet began to decline, in which the initial pattern of Sade has started a lot of changes towards the deficient and began to leave the local tradition. One effort to improve the condition of Sade hamlet in social, cultural and the environmental aspect is through the formulation of a sustainable structuring, the presence and identity maintaining and making a sustainable Tourism Village. Through analysis of AHP (Analytical Hierarchy Process) by collecting the perceptions of some experts through interviews and questionnaires, obtained by weighting the priority of the experts, namely the preservation of culture as an element of priority-level goals to be achieved in the development of Sade Hamlet as a tourist village at 0,476. While the determination of the level of the main criteria in the achievement of these objectives is the highest weight while maintaining a typical village environment at 0.319. Priority strategies that get the highest weight of the experts is that Sade Hamlet Revitalization with a priority weighting of 0.583. The second priority is the relocation of Hamlet at 0.235. Lowest weighting or last priority is Replication Sade Hamlet at 0.182.

DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Demand ◽  
Pairwise Comparison ◽  
Small Islands ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Comparison Research ◽  
Hierarchy Process ◽  
Selection Of

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP

scholarly journals KONDISI DAN PRIORITAS UNTUK MENGENDALIKAN PEMANFAATAN IKAN NAPOLEON (Cheilinus undulatus, RÜPPELL, 1835) DI KABUPATEN RAJA AMPAT

2018 ◽  
Vol 23 (3) ◽  
pp. 181
Author(s):  
Hendrik Sombo ◽  
Mohammad Mukhlis Kamal ◽  
Yusli Wardiatno
Keyword(s):  
Analytical Hierarchy Process ◽  
Management Decisions ◽  
Ahp Model ◽  
Fish Resources ◽  
Resource Sustainability ◽  
Live Fish ◽  
Priority Order ◽  
Control And Management ◽  
Hierarchy Process

Hasil survei potensi yang dilakukan IUCN dan LPSPL Sorong menunjukkan nilai kelimpahan ikan napoleon (Cheilinus undulatus) di Kabupaten Raja Ampat termasuk dalam kategori rendah. Walaupun demikian, nelayan tetap menginginkan ada kuota untuk pemanfaatannya karena merupakan salah satu sumber mata pencaharian utama. Aktivitas pemanfaatan harus disertai dengan upaya pengendalian untuk menjaga kelestarian sumberdaya. Penerapan upaya fishing control dan manajemen kebijakan belum dilakukan secara optimal, sehingga diperlukan penetapan berdasarkan skala prioritas. Tujuan penelitian ini adalah untuk mengidentifikasi kondisi pemanfaatan dan menentukan skala prioritas upaya untuk mengendalikan pemanfaatan ikan napoleon di Kabupaten Raja Ampat. Penentuan skala prioritas dianalisis dengan model Analytical Hierarchy Process (AHP) dengan melibatkan pakar di bidang konservasi dalam penilaian. Berdasarkan hasil identifikasi, kondisi pemanfaatan ikan napoleon di Kabupaten Raja Ampat dilakukan belum sesuai dengan ketentuan regulasi yang telah ditetapkan. Hasil penilaian dengan model AHP menunjukkan bahwa kriteria yang paling penting untuk mengendalikan pemanfaatan ikan napoleon adalah sumberdaya ikan lestari, dan urutan prioritas alternatif adalah sosialisasi kepada nelayan/pengusaha (bobot 0,2935), pengawasan (bobot 0,2715), survei kelimpahan secara berkala (bobot 0,2181) dan penerapan lalu lintas perdagangan melalui bandara (bobot 0,2169).The results of potential survey by IUCN and LPSPL Sorong showed the abundance value of napoleon fish (Cheilinus undulatus) in Raja Ampat Regency was low category. Nonetheless, the fisher quota for its utilization because it is one of the main sources of livelihood. The utilization activities should be followed by control of effort to maintain resource sustainability. Implementation of fishing control and management decisions has not been done optimally, therefore it need to be set based on priority scale. The purpose of this study were to identify conditions of utilization and to determine the priority scale to control utilization of napoleon wrasse fishery in Raja Ampat Regency. Determination of priority scale were analyzed with Analytical Hierarchy Process (AHP) model by involving experts in the field of conservation in the assessment. Based on the results of identification, the condition of the utilization of napoleon fish in Raja Ampat Regency was not with the regulation. The results of the assessment with AHP model showed that the most important criteria to control utilization of napoleon wrasse fishery is sustainable fish resources, and alternatives priority order are socialization/awareness program to fishers/live fish buyer (value 0.2935), surveillance (value 0.2715), periodic density surveys (value 0.2181) and implementation of trade air-only (value 0.2169).

scholarly journals Analytical hierarchy process to choose the best earthwork machine in northern forests of Iran

2013 ◽  
Vol 59 (No. 12) ◽  
pp. 487-492
Author(s):  
A. Parsakhoo ◽  
S.A. Hosseini
Keyword(s):  
Cross Sections ◽  
Analytical Hierarchy Process ◽  
Pairwise Comparison ◽  
Environmental Criteria ◽  
Northern Forests ◽  
Operational Criteria ◽  
Soil Excavation ◽  
Hierarchy Process ◽  
Slope Class ◽  
Forest Engineering

This study attempts to use the analytical hierarchy process to choose the most appropriate earthwork machine for slope classes of 30–50% and 50–70%. Required data were collected by pairwise comparison as questionnaires filled by experts of forest engineering. Results showed that cross-sections and grade line (Technical criteria), soil excavation and displacement (Environmental criteria), production rate and multi-application (Operational criteria), production cost (Economic criteria) with the respective weights of  0.345, 0.345, 0.136, 0.058, 0.058 and 0.058 were the most important criteria for choosing the earthwork machines in the slope class of 30–50%. These coefficients for the slope class of 50–70% were 0.329, 0.329, 0.174, 0.056, 0.056 and 0.056, respectively. Overall priority of bulldozer in slope classes of 30–50% and 50–70% was 0.51 and 0.48, respectively. Therefore, in slope class of 30–50% bulldozer and in slope class of 50–70% hydraulic excavator must be selected for earthwork operation.

Evaluating Supplier Involvement Using DEA and Piecewise Triangular Fuzzy AHP

2007 ◽  
Author(s):  
Shouhua Yuan ◽  
Yiliu Tu ◽  
Deyi Xue
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Data Envelopment ◽  
Novel Method ◽  
Overall Performance ◽  
Dea Method ◽  
The Individual ◽  
Hierarchy Process

Data Envelopment Analysis (DEA) has been widely applied in evaluating multi-criteria decision making problems which have multi-inputs and multi-outputs. However, the traditional DEA method does neither take the decision maker’s subjective preferences to the individual criteria into consideration, nor rank the selected options or decision making units (DMUs). On the other hand, Satty’s Analytical Hierarchy Process (AHP) was established to rank options or DMUs under multi-inputs and multi-outputs through pairwise comparisons. But in most cases, the AHP pairwise comparison method is not perfectly consistent, which may give rise to confusions in determining the appropriate priorities of each criterion to be considered. The inconsistency implicates the fuzziness in generating the relative important weight for each criterion. In this paper, a novel method which employs both DEA and AHP methods is proposed to evaluate the overall performance of suppliers’ involvement in the production of a manufacturing company. This method has been developed through modifying the DEA method into a weighting constrained DEA method by using a piecewise triangular weighting fuzzy set which is generated from the inconsistent AHP comparisons. A bias tolerance ratio (BTR) is introduced to represent the varying but restrained weighting values of each criterion. Accordingly, the BTR provides the decision maker a controllable parameter by tightening or loosening the range of the weighting values in evaluating the overall performance of available suppliers, which in hence, overcomes the two weaknesses of the traditional DEA method.

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