Analysis of Industrial Companies Business Goals in Conditions of Uncertainty

189-192The appropriate groups are given in the paper of business goals in industrial companies in the conditions of uncertainty using BSC (Balanced Scorecard) and the FDM (Fuzzy Delphi Method) for each of the four independent perspectives: the perspective of learning and development, the internal processes perspective, the perspective of the user, and the financial perspective. The analysis resulted in determining the ranking of business goals by individual perspectives and defining the specific steps that need to be taken to advance in achieving the priority goals

PEMODELAN PENENTUAN KREDIT SIMPAN PINJAM MENGGUNAKAN METODE ADDITIVE RATIO ASSESSMENT (ARAS)

Beberapa koperasi dalam memberikan pinjaman ke anggotanya sangat bergantung pada masing-masing pemberi keputusan dan bobot penilaian yang berbeda untuk setiap kriteria. Berbeda dengan pinjaman di bank, pinjaman pada koperasi memiliki kriteria yang mengacu pada aturan tiap koperasi. Hal ini menjadi menarik untuk dilakukan penelitian dengan menerapkan metode Additive Ratio Assessment dalam suatu sistem pendukung keputusan, sehingga dapat membantu dalam menentukan penerima pinjaman koperasi untuk menghindari kredit macet. Sistem Pendukung Keputusan (SPK) adalah sistem yang dapat membantu seseorang, dalam mengambil suatu keputusan yang akurat dan tepat sasaran. Banyak permasalahan yang dapat diselesaikan dengan menggunakan SPK, contohnya membangun model sistem pendukung keputusan penentuan anggota koperasi potensial dalam pengajuan pinjaman untuk menghasilkan informasi anggota koperasi potensial untuk menghindari kredit macet.

One Approach of Providing Quality and Reliability Programs in Conditions of Uncertainty

401-405An algorithm for determining the membership function and the degree of criticality of elements (fuzzy FMECA algorithm) is developed and applied in this paper in terms of ranking elements based on their criticality by applying the theory of fuzzy sets

Analysis of Industrial Companies Business Goals in Conditions of Uncertainty

The appropriate groups are given in the paper of business goals in industrial companies in the conditions of uncertainty using BSC (Balanced Scorecard) and the FDM (Fuzzy Delphi Method) for each of the four independent perspectives: the perspective of learning and development, the internal processes perspective, the perspective of the user, and the financial perspective. The analysis resulted in determining the ranking of business goals by individual perspectives and defining the specific steps that need to be taken to advance in achieving the priority goals

COMPARISON OF THREE FUZZY MCDM METHODS FOR SOLVING THE SUPPLIER SELECTION PROBLEM

The evaluation and selection of an optimal, efficient and reliable supplier is becoming more and more important for companies in today’s logistics and supply chain management. Decision-making in the supplier selection domain, as an essential component of the supply chain management, is a complex process since a wide range of diverse criteria, stakeholders and possible solutions are embedded into this process. This paper shows a fuzzy approach in multi – criteria decision-making (MCDM) process. Criteria weights have been determined by fuzzy SWARA (Step-wise Weight Assessment Ratio Analysis) method. Chosen methods, fuzzy TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution), fuzzy WASPAS (Weighted Aggregated Sum Product Assessment) and fuzzy ARAS (Additive Ratio Assessment) have been used for evaluation and selection of suppliers in the case of procurement of THK Linear motion guide components by the group of specialists in the “Lagerton” company in Serbia. Finally, results obtained using different MCDM approaches were compared in order to help managers to identify appropriate method for supplier selection problem solving

The Selection of a Possible Organizational Structure of Railway Companies by Application Fuzzy-ARAS Method

The European railway sector doesn't represent a single, generic type of organizational structure. The Directives from the 1990s offer the possibility for national interpretation giving a wide range of organizational structures for European railways. Different organizational structures of railways are present in the European railway market, and all of them are aligned with the national belief of the country - how to manage the railway. This paper focuses on Multi-Criteria Decision Making (MCDM) methods for ranking and selecting organizational structures of railways. In decision-making, we deal with different types of uncertainty and inaccuracy. For this purpose, we need to use some specific tools. In this paper, we use triangular fuzzy numbers to quantify linguistic data. To overcome the complexity of the decision-making problem, we propose the fuzzy Additive Ratio ASsessment (ARAS) method, which also includes linguistic variables and a group approach to decision-making. With the proposed methodology an evaluation of the alternatives to the organization structure of the railway company in Bosnia and Herzegovina is considered. Separation of railway transport from infrastructure management is ranked as the best organizational structure for this company

An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains

Digital supply chains (DSCs) are collaborative digital systems designed to quickly and efficiently move information, products, and services through global supply chains. The physical flow of products in traditional supply chains is replaced by the digital flow of information in DSCs. This digitalization has changed the conventional supplier selection processes. We propose an integrated and comprehensive fuzzy multicriteria model for supplier selection in DSCs. The proposed model integrates the fuzzy best-worst method (BWM) with the fuzzy multi-objective optimization based on ratio analysis plus full multiplicative form (MULTIMOORA), fuzzy complex proportional assessment of alternatives (COPRAS), and fuzzy technique for order preference by similarity to ideal solution (TOPSIS). The fuzzy BWM approach is used to measure the importance weights of the digital criteria. The fuzzy MULTIMOORA, fuzzy COPRAS, and fuzzy TOPSIS methods are used as prioritization methods to rank the suppliers. The maximize agreement heuristic (MAH) is used to aggregate the supplier rankings obtained from the prioritization methods into a consensus ranking. We present a real-world case study in a manufacturing company to demonstrate the applicability of the proposed method