OPTIMAL SELECTION OF PROGRAM SUPPLIERS FOR TV COMPANIES USING AN ANALYTIC NETWORK PROCESS (ANP) APPROACH

2010 ◽  
Vol 27 (06) ◽  
pp. 753-767 ◽  
Author(s):  
SEN-KUEI LIAO ◽  
KUEI-LUN CHANG ◽  
TZENG-WEI TSENG

In today's increasingly competitive business world, selecting and evaluating the suppliers is one of the most important activities of a company. In the Taiwanese TV industry, selecting optimal suppliers of programs is also vital. But few attempts have so far been made to address this specific point. After reviewing the literature, we collect criteria for the selection of a program supplier. Considering the interdependence among the selection criteria, the analytic network process (ANP) is applied to help Taiwanese TV companies to effectively select optimal program suppliers. To avoid the complicated computing process from additional pairwise comparisons of the ANP, we retain the 12 critical criteria according to the opinions of the 44 senior executives about the importance of criteria: Quality, On-time, Marketability, Reputation, Rating, Finance, Relationship, Attitude, Communication, Creativity, Price and Time. Subsequently, we discuss with senior executives to group these criteria into 4 perspectives to structure the hierarchy for the selection of program suppliers. According to the hierarchy based on 4 perspectives and 12 vital criteria, Taiwanese TV companies could select optimal program suppliers more effectively. Moreover, the practical application of the ANP presented in Section 4 is generic and also suitable to be exploited for Taiwanese TV companies.

2012 ◽  
Vol 18 (1) ◽  
pp. 164-188 ◽  
Author(s):  
Mohammad Majid Fouladgar ◽  
Abdolreza Yazdani-Chamzini ◽  
Edmundas Kazimieras Zavadskas ◽  
S. Hamzeh Haji Moini

Selection of the working strategy is a critical problem and it plays a significant role in the success of organization development. On the other hand, selecting the most appropriate working strategy among a pool of alternatives is a multi-criteria decision making (MCDM) problem. Since every working strategy has its benefits and costs and may bring a company different opportunities and risks, which kind of working strategy is the most appropriate for a company to accomplish is a sophisticated and complex decision with a high degree of uncertainty. Therefore, the current paper proposed an integrated evaluation model based on the analytic network process (ANP) and the complex proportional assessment (COPRAS), to help the decision makers or managers with the selection of proper working strategy in a fuzzy environment where the fuzziness and uncertainties are handled with linguistic terms parameterized by triangular fuzzy numbers (TFNs). In this paper fuzzy ANP (FANP) is utilized to take into account interdependence and dependencies and determine the importance weights of benefit, opportunities, cost and risk (BOCR) factors, and fuzzy COPRAS is applied to rank the alternatives. To show the potential application of the proposed model, a real world application is conducted to illustrate the use of the proposed model for the working strategy selection problem. The results show the capability and effectiveness of the proposed model.


2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen

This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.


2021 ◽  
Vol 14 (2) ◽  
pp. 62-70
Author(s):  
Huda Yaseen ◽  
Hafeth I. Naji

Construction projects are of a special nature affected by many factors, which makes them exposed to multiple risks that may lead to the abandonment of projects. Recently, the Iraqi construction sector is facing a number of problems. Abandoned construction projects are one of the most common and dangerous problems in the construction industry in Iraq, with their negative effects on stakeholders, the economy, and the environment due to the lack of sufficient financial and administrative capabilities to complete construction projects, which is reflected in exceeding the time limit for the completion of projects. The aim of this research is to use the analytic network process (ANP) technique to choose the best form of Public-Private Partnership (PPP) contracts to fund abandoned projects in Iraq. using a questionnaire survey to determine the most criteria and alternatives for selecting appropriate financing for the abandoned project. The results shown final weight of the Build-Own-Operate (BOO) contract from ANP is 0.533, which is the best form of PPP contract among the alternatives proposed to fund the project.


2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Aula Fajar Iman Sakti ◽  
Wiwik Sulistiyowati

CV. Riki Utama Mandiri is a company in distributing an economic fish frozen product. This company distributed any kind of retail and wholesaler, both domestic and export. They distributing many frozen fish products variant such as Patin Fillet and Shark Fin. The all raw materials of those frozen seafood was obtained by three different suppliers. The common problems found in CV. Riki Utama Mandiri mostly about raw patin fish supplier which often committed delivery delays.  The purpose of this research is to fixing the supply chain management in deciding the more accurate selections of raw materials supplier. To overcome the common problems that happen. Analytical network process (ANP) will simplify the criteria weight values and sub criteria of each supplier. Meanwhile, technique for others reference by similarity to ideal solution (TOPSIS) method is used for giving a rank order of the alternative supplier. This research is expected for being a consideration for the company in obtaining a good and more effective kind of raw supplier. We also expecting the company for tighten supplier selection more effective way so that it can fullfilled the existing standard. Also to overcome the common problems such as delivery delays, competing raw materials with uncertain quality, and difficulty in sort out the raw materials due to size issues.


2020 ◽  
Vol 12 (10) ◽  
pp. 4044
Author(s):  
Marko Stokic ◽  
Davor Vujanovic ◽  
Dragan Sekulic

The efficient vehicle procurement is an important business segment of different companies with their own vehicle fleet. It has a significant influence on reducing transport and maintenance costs and on increasing the fleet’s energy efficiency. It is indispensable that managers consider various criteria from several aspects when procuring a vehicle. In that sense, we defined 13 relevant criteria and divided them into four multidisciplinary aspects: Construction-technical, financial, operational, and environmental. Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process (DANP) method was applied to evaluate the significance of defined criteria and aspects and their interdependency. It is established that the three most important criteria for vehicle procurement are vehicle price, vehicle maintenance, and vehicle selling price. The most important aspect is construction technical aspect, while the aspect of the environment is the least important. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank eight different vehicles, which were considered by vehicle fleet manager at the observed company. This model assists fleet managers in the selection of the most suitable vehicle for procurement, while significantly reducing decision-making time and simultaneously observing all necessary criteria and their weights. Moreover, we have considered 10 different scenarios to establish whether and how the rank of the observed alternatives would change.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jinyu Li ◽  
Asif Ullah ◽  
Jun Li ◽  
Shah Nazir ◽  
Habib Ullah Khan ◽  
...  

Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the requirements are extracted from various sources; after extraction, they are analyzed and documented for a specific purpose of software development. In RE, process requirements from stakeholders are gathered, upon which the entire software product failure and success are dependent. In order to accomplish the goal of requirement elicitation, various techniques are used. However, the selection of these techniques is a very challenging task, as one technique may suit a situation but may not be suited for other situations. Besides this, project attributes such as documentation culture of organization, degree of relationship among stakeholders, and familiarity to domain also have a great impact on the process of technique selection. The reason is that there is no empirical value of the techniques that provide help in techniques selection to analyze the basis software project attributes. This study proposed the analytic network process, which is one of the multicriteria decision making processes for the elicitation technique selection process with respect to criterion attributes of project. The motivation toward the use of the ANP approach for the selection of requirement selection technique is that there are dependencies existing among attributes of the project elements. So, the ANP approach is capable of dealing with such situations where dependencies and complexity occur. Results of the proposed study demonstrate that the technique helps in complex situations where decision making is difficult based on the alternatives.


Author(s):  
Iis Warlinda ◽  
Agus Perdana Windarto ◽  
M Fauzan

School is a place for students to gain knowledge. Every school has a goal which is to improve the quality of the education world, as well as the MTS Pembina Maligas Bayu school. To realize this goal there must be improvements in service, teaching and assessment in order to make a quality school. In this case the homeroom teacher is faced with a problem that is the selection of high achieving students who fit the criteria desired by the school. The purpose of this study is to analyze which factors are the most dominant in determining student achievement. The selection of high achieving students has many factors and has different values, so we need an Analytic Network Process (ANP) method to overcome them. Analytic Network Process (ANP) methods including decision support system techniques, Analytic Network Process (ANP) is a mathematical theory that allows dealing with interrelated factors and feedback in a structured manner. The data of this study came from student questionnaires which had a rating of 1-10. With alternative morals (A1), Grades (A2), Discipline (A3), Absence (A4), The role of the teacher (A5). Whereas A1 0.16%, A2 0.02%, A3 0.02%, A4 0.07% and A5 0.06%. It is hoped that this research can provide input to the MTS Pembina schools to focus on the dominant factor in the selection of outstanding students so as to increase the number of outstanding students.


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