Product Sequencing and Blending of Raw Materials to Feed Arc Furnaces: A Decision Support System for a Mining-Metallurgical Industry

2021 ◽  
Author(s):  
Rafael de Freitas Bacharel ◽  
Marcone Jamilson Freitas Souza ◽  
Luciano Perdigão Cota
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Materials ◽  
Metallurgical Industry ◽  
Arc Furnaces

scholarly journals Pendukung Keputusan Penentuan Jumlah Order Menggunakan Fuzzy Mamdani

MATICS ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 80
Author(s):  
Elta Sonalitha
Keyword(s):  
Decision Support ◽  
Customer Satisfaction ◽  
Decision Support System ◽  
Support System ◽  
Financial Management ◽  
Raw Materials ◽  
Raw Material ◽  
Purchase Price ◽  
Demand And Supply ◽  
Purchasing Managers

<strong>To get customer satisfaction, a restaurant should always provide raw materials in accordance with the menu. Each raw material has a different demand based on an uncertain customer interest. Purchasing managers have difficulty in determining the number of orders for each raw material, due to the uncertainty of demand and supply. Therefore we built decision support system for determining the number of orders using fuzzy mamdani. From decision support system we get ROP and recommendation of the number of orders accompanied by the total purchase price for each raw material. This system helps the purchasing managers in determining the amount of orders quickly and precisely by considering the losses, especially in the field of financial management.</strong>

scholarly journals Penentuan Kelayakan Jagung Biji Untuk Pakan Ternak Dengan Metode Fuzzy Saw

JURTEKSI ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 79-84
Author(s):  
Widiarti Rista Maya ◽  
Ahmad Fitri Boy
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Materials ◽  
Raw Material ◽  
Decision Making Process ◽  
Weighting Method ◽  
Long Time ◽  
Simple Additive Weighting

Abstract: In the decision making process of the feasibility of corn raw materials so far only see the physical raw materials tend to be subjective so that in the decision making process of the feasibilityof corn raw materials must take a long time , sometimes the decision taken is not appropriate so that this needs to be addressed again for the feasibility of corn raw materials. From the description above need to be made an auxiliary program for decision support system by using fuzzy SAW ( Simple Additive Weighting ) method in determining corn raw material that is acceptable to PT. Charoen Phokpand Indonesia. Program which will be made more to assist manager or staff in taking decision and not replace it. The results of this study are expected to assist managers or staff in making decisions for the process of assessing the feasibility of corn raw materials in PT. Charoen Phokpand Indonesia so as to improve the quality of human resources. Keywords: corn raw materials, decision support system, fuzzy saw method Abstrak: Dalam proses pengambilan keputusan kelayakan bahan baku jagung selama ini hanya melihat fisik bahan baku yang cenderung subjektif sehingga dalam proses pengambilan keputusan kelayakan bahan baku jagung harus membutuhkan waktu yang cukup lama, terkadang keputusan yang diambil tidak tepat sehingga hal ini perlu dibenahi lagi untuk proses pengambilan keputusan kelayakan bahan baku jagung. Dari uraian diatas perlu dibuat suatu program bantu untuk sistem pendukung keputusan dengan menggunakan metode fuzzy SAW (Simple Additeve Weighting) dalam menentukan bahan baku jagung yang layak diterima pada PT. Charoen Phokpand Indonesia. Program yang akan dibuat lebih bersifat untuk membantu manager atau staff dalam pengambilan keputusan dan bukan menggantikannya. Hasil dari penelitian ini diharapkan dapat membantu manager atau staff dalam mengambil keputusan untuk proses penilaian kelayakan bahan baku jagung pada PT. Charoen Phokpand Indonesia sehingga dapat meningkatkan kualitas sumber daya manusia. Kata kunci: Bahan baku jagung, Sistem Pendukung Keputusan, metode fuzzy SAW

scholarly journals Implementasi Metode ANP-PROMETHEE Untuk Pemilihan Supplier (Studi Kasus PT. Lamongan Marine Industry)

2020 ◽  
Vol 10 (1) ◽  
pp. 36-45
Author(s):  
Mahad Wicaksono ◽  
Bayu Surarso ◽  
Farikhin Farikhin
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Significant Influence ◽  
Supplier Selection ◽  
Raw Materials ◽  
Final Outcome ◽  
Promethee Method ◽  
Alternative Ranking

The selection of suppliers is essential to minimize the cost of procuring raw materials for production. This research is important to do in order to increase company profits and ensure the smooth production process. This study aims to select suppliers of shipbuilding raw materials of PT. LMI based on the best ranking order using the ANP-PROMETHEE method implemented in a decision support system. The variables used are 16 sub criteria and 6 alternatives. The ANP-PROMETHEE method is used because of its advantages in handling multi-criteria assessment based on subjective assumptions from decision makers. Stages of the study began with the ANP method to get the importance of weight then proceed to the calculation with the PROMETHEE method to get an alternative ranking. The results of this study is an application as a Decision Support System (DSS) that can help make supplier selection based on predetermined criteria. From the results of the study it was concluded that the ANP-PROMETHEE method can be implemented and is the right solution for supplier selection, ANP handles the problem of multiple objective decision making so that objectivity is maintained, while PROMETHEE handles the multi attribute decision making problem. Other conclusions are obtained that the PROMETHEE calculation has a more significant influence in determining the final outcome of an alternative ranking than the ANP. An input of ANP value is needed with a long number interval so that the results of the calculation of the Consistency Ratio (CR) approach the CR threshold (0.1) so that the ANP has a significant influence in determining the final outcome of an alternative ranking. The CR number that was tested was 0.0629 and proved unable to change the alternative ranking final results, when the CR number that was tested was 0.0993, it was proven to be able to change the alternative ranking final results.

scholarly journals Implementation of a fuzzy decision support system for selection of hand tractor assembly suppliers

2022 ◽  
pp. 44-52
Author(s):  
Denny Utomo ◽  
Pratikto Pratikto ◽  
Purnomo Budi Santoso ◽  
Sugiono Sugiono
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Supplier Selection ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Ahp Method ◽  
Fuzzy Method ◽  
Selection Of

Supplier selection is a complex problem in the current Industry 4.0 era. The large number of suppliers with different performance qualities makes it difficult for the company's internal parties to choose the appropriate supplier. The suitability of quality suppliers needed to supply raw materials needed by the industry is an important matter to be resolved. In the hand tractor assembly industry, this small and medium industry is also very dependent on the availability of supply materials, and of course it also depends on the selection of the supplier itself. In this study, the object of research is the 151 hand tractor assembly manufacturing industry using 10 main criteria for selecting suppliers. Each criterion has a weight that is calculated using the Fuzzy AHP method so as to obtain alternative supplier results that are displayed in order. A supplier is a company or individual that provides the raw materials needed by the company and its competitors to produce certain goods. In this study, a decision support system for supplier selection at the company has been developed using the AHP fuzzy method. The results of this study are expected to help companies in selecting suppliers that match the predetermined criteria. In building a decision support system that provides supplier recommendations, the authors apply the AHP fuzzy method in the process. With the Supplier Selection Decision Support System Using the AHP Fuzzy Method, it can help companies in selecting suppliers. Based on the research that has been done, suggestions can be made for a Decision Support System for Supplier Selection Using the Fuzzy AHP Method so that in the future it can facilitate the use of a more dynamic system

scholarly journals Optimization of the Structure of the Investment Portfolio of High-Tech Companies Based on the Minimax Criterion

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4647
Author(s):  
Alex Borodin ◽  
Manuela Tvaronavičienė ◽  
Irina Vygodchikova ◽  
Galina Panaedova ◽  
Andrey Kulikov
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Computer Aided Design ◽  
Rating Scales ◽  
Raw Materials ◽  
Capital Allocation ◽  
High Tech ◽  
Investment Portfolio ◽  
Minimax Criterion

A model has been developed for the optimization of the share structure of an investment portfolio in high-tech projects supported by the leaders of the leading industry companies in Russia. Several indicators (financial leverage, integrated rating of companies, industry rating) were applied in the decision support system for the shared distribution of investments. High-tech production is based on innovative technologies for saving resources, the resiliency of systems for transporting and transferring raw materials and finished products within Russia, so the main income will remain within the country. It is possible to export high-tech products, rather than raw materials, which will increase export revenues. Investors will invest in high-tech projects of Russian companies, taking into account the targeting of investment development. The guarantee is the stable financial position of the companies and the competitiveness rating. Methods: The authors propose a new approach that does not contradict modern rating scales, based on a hierarchical rating procedure and fuzzy logical rules that allow you to build an integral rating in the form of portfolio shares from the whole. A higher share shows an indicator of the higher investment attractiveness of companies. The industry rating is obtained based on the principle of the company’s first affiliation to the highest rating indicator. The final minimax portfolio is based on the initial ratings in a circular convolution and is then adjusted by industry. A software package has been compiled that allows the testing of the method of capital allocation between investment projects for the largest companies’ leaders of high-tech industries in Russia. This software uses the author’s method of multi-stage analysis, the evaluation of financial coefficients, the integral ranking and the correction of the solution taking into account the industry attributes. Results: The results are presented with computer-aided design (CAD) in the form of an algorithmized decision support system (DSS). The CAD system is based on a hierarchical algorithm, based on the use of a multi-level redistribution of investment shares of high-tech companies, taking into account the adaptation to the requirements of the return on investment portfolio. When compiling the portfolio, the minimax optimality criterion is applied, which allows the stabilization of the risk by purposefully redistributing funds between the companies involved in the analysis. The authors of the article have compiled an algorithm for the software implementation of the model. Features of the rating approach: the use of the author’s mathematical apparatus, which includes a hierarchical analysis of the ranked indicators of the financial and economic activity of companies, taking into account their priority, and the use of a minimax approach to obtain a rating assessment of companies, taking into account the industry attributes. Development: The proposed approach should be used for targeted financing of large industry companies engaged in the implementation of high-tech projects.

scholarly journals Strategi Sustainability UMKM Pisang Sale di Kabupaten Bungo dengan Metode SWOT dan Analytic Hierarchy Process (AHP)

2019 ◽  
Vol 1 ◽  
pp. 110
Author(s):  
Nanik Istianingsih ◽  
Emil Salim ◽  
Sarjon Defit
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Swot Analysis ◽  
Raw Materials ◽  
Analytic Hierarchy ◽  
Sustainability Strategy ◽  
The Government ◽  
Hierarchy Process

The decline of MSMEs numbers is a challenge for the government to think about how that MSMEs could survive and be sustainable. Determining the sustainability strategy is not necessarily the best strategy and in accordance with the objectives in MSMEs, so that problems arise to determine the best sustainability strategy. Therefore, in this study a combination of the SWOT method and the Analytic Hierarchy Process (AHP) was used to compare the existing alternative sustainability strategies. The difference between this research and previous research lies in determining criteria and sub-criteria and alternative choices. The number of samples used is as many as seven business owners of Banana Sale. For processing research data is assisted by using the Decision Support System (DSS) application. The results of the study on the SWOT analysis show that from the strength of the company it is dominated by products that have distinctive features and competitive prices. In terms of weaknesses, namely small capital and limited product variants are weaknesses that must be addressed immediately. Opportunities include wide market opportunities and loyal consumers. But the threat to this company is limited raw materials, weather and many new competitors to be a concern for the company. From the results of data processing using the Decision Support System application, the highest alternative option is to increase capital so that business continuity can continue.

scholarly journals Decision Supporter for Determining Priority in Supply of Shoe Raw Materials Using the Simple Additive Weighting Method

2019 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Ardila Sani ◽  
Tb Ai Munandar ◽  
Akip Suhendar
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Production Process ◽  
Support System ◽  
Raw Materials ◽  
Production Costs ◽  
Weighted Sum ◽  
Advantages And Disadvantages ◽  
Weighted Sum Method ◽  
Simple Additive Weighting

More and more types of raw materials will be used to expedite the shoe production process, making it difficult for companies to determine the priority of raw materials. So that there are often advantages and disadvantages of raw materials during the production process, which causes changes in the budget of production costs that are not in accordance with the initial plan, resulting in decreased corporate profits. Decision Support System (SPK) is a system that can help someone in making decisions that are accurate and right on target. Many problems can be solved by using SPK, one of which is determining priorities in the supply of raw materials. There are several methods that can be used in building a DSS, including simple addtive weighting (SAW). The Simple Additive Weighting (SAW) method is often also known as the weighted sum method, by finding the weighted sum of performance ratings for each alternative of all attributes. This study discusses the making of a decision support system as a tool for determining priorities in the supply of raw materials using the simple additive weighting (SAW) method. This application was developed with the Power Builder 8.0 programming language and Sybase SQL Anyware 5.0 as its database. The results of this study are able to help system users determine the priority of the supply of raw materials in order to facilitate the production process.

scholarly journals Decision Support System for Determining Mini Sugar Mill Location in Madura

2019 ◽  
Vol 34 (2) ◽  
pp. 232
Author(s):  
Mokh. Rum ◽  
Dwidjono Hadi Darwanto ◽  
Slamet Hartono ◽  
Masyhuri Masyhuri
Keyword(s):  
Social Capital ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Materials ◽  
Land Suitability ◽  
Raw Material ◽  
Primary Data ◽  
Sugar Mill ◽  
Software Analysis

Madura has widely potential farming business of sugarcane and has enough raw material to build a mini sugar mill. Sugarcane is cultivated in Madura, particularly in four regencies, namely Bangkalan, Sampang, Pamekasan and Sumenep. To decide the location of mini sugar mill in one of the regencies requires decision support system (DSS). This study aimed to determine the priority of mini sugar mill location in Madura. This research used primary and secondary data. The primary data were collected using questionnaires. Then, the results of evaluation from the experts, on the items of questions, were analyzed with analytical hierarchy process (AHP). This was accomplished using Expert Choice 2000 software. Analysis of the selection of mini sugar mill location considered six criteria, namely the land suitability level, existing infrastructure, the potential of raw materials, the availability of labor, social capital and institutions. The selected criteria were further classified into sub-criteria to clarify the definitions of operational criteria and facilitate assessment for respondents. The results show that social capital had the greatest influence on decision making, followed by the land suitability level and the potential of raw materials. The finding in this research is that the mini sugar mill location is given priority in Bangkalan Regency, Madura. The conclusion of this research is that AHP analysis can be used as a method to take accurate decision in determining the location of sugarcane factory in certain area of sugarcane farming business development.

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