Supplier Selection With Gray Based Rough Set Theory Method (A Case Study: Pharmaceutical Installation Of RSU Grand Medica Tanjung Anom, Medan)

Annual Conference on Industrial and System Engineering 2019

工业技术（总论）

Bakhtiar, A.^1 ; Siahaan, Y.S.T.^1 ; Susanty, A.^1

Department of Industrial Engineering, Faculty of Engineering, Diponegoro University, Jl. Prof. Soedarto, SH, Kampus Undip Tembalang, Semarang

50275, Indonesia^1

关键词: Common criteria;    Decision makers;    General hospitals;    Gray value;    Lower limits;    Multi-criteria decision making;    Supplier selection;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/598/1/012018/pdf
DOI  :  10.1088/1757-899X/598/1/012018

学科分类：工业工程学

来源: IOP

【 摘 要 】

Based on the preliminary study and interviews to the Grand Medica Hospital Tanjung Anom Medan there are several problems, including the frequent delays of drugs and an increase in the percentage of disability drugs supplied by suppliers. Where the supplier is a top priority exactly shows the highest percentage of disability in the delivery period. From these problems, it is necessary to select the medicinal supplier of Grand Medica General Hospital by evaluating the criteria and subcriteria in the supplier assessment and will produce the output of more than one supplier that has been in accordance with the criteria. The purpose of this study is to assist the Hospital for making the right supplier selection decisions. Supplier selection is a matter of Multi Criteria Decision Making (MCDM) because in the selection process is done by evaluating each supplier which is seen some common criterion in supplier selection to fulfill requirement of raw material. The method used in this study is the method of Gray Based Rough Set Theory, where this m ethod will involve some decision makers who are considered to have an important role in this hospital. Gray Based Rough Set Theory is a combination of fuzzy or gray methods and rough sets. The selection of suppliers by this method also considers the importance of the decision maker by assigning weight to each decision maker. By providing the upper and lower limits of each calculation, this method is considered capable of producing better decisions, with the output of more than one selected supplier. Where the RSU Grand Medica currently needs suppliers to supply medicines to meet medical supplies at the Hospital. Based on the calculation of the value of the Gray Values factor, the results obtained for each supplier, namely supplier 1 (0.26), supplier 2 (0.31), supplier 3 (0.60), supplier 4 (0.60), supplier 5 (0.39), and supplier 6 (0.34). By analyzing the value of Gray Values factor, obtained the order of choosing the chosen supplier based on the weight of the biggest is supplier 4 (0,60), supplier 3 (0.60), supplier 5 (0.39), supplier 6 (0.34), supplier 2 (0.31), and the last supplier 1 (0.26).