scholarly journals Evaluating Green Performance of Suppliers via Analytic Network Process and TOPSIS

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Gülşen Akman ◽  
Hamit Pışkın

Developments in environmental issues in the last few years have been forcing manufacturing companies to improve their environmental performances. Many firms developed integrated relationships with their suppliers to increase their environmental performance and to decrease their hazardous effects on the environment. Then, selecting suitable and green suppliers in the supply chain has become a key strategic consideration. A performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the firm. Therefore, in this study, a model for evaluating green performance of suppliers is proposed, and a hybrid multicriteria decision making model is developed in order to evaluate green performance of the suppliers. The analytical network process technique is applied to handle the relationships and dependence of selection criteria and subcriteria and determine weights of the criteria. The technique for order preference by similarity to ideal solution is used to sequence the suppliers for ideal solution of the suppliers’ green performance evaluation problem. After a comprehensive literature survey, evaluation criteria of green performance for suppliers are determined. Finally, green performance of 18 suppliers of an automobile company was evaluated by this model. These 18 suppliers manufacture chassis and its components.

2017 ◽  
Vol 11 (3) ◽  
pp. 151
Author(s):  
Darminto Pujotomo ◽  
Nia Budi Puspitasari ◽  
Dwi Rizkiyani

Salah satu faktor yang mempengaruhi kinerja perusahaan adalah keberadaan supplier yang berperan sebagai pemasok kebutuhan atau penyedia bahan baku. PT Masscom Graphy Semarang merupakan perusahaan percetakan yang telah menjalin kerjasama dengan beberapa supplier untuk menjamin kelangsungan produksinya. Oleh karena itu evaluasi kinerja supplier sangat penting dilakukan oleh perusahaan untuk mendapatkan supplier yang handal dalam memasok bahan baku. Tujuan dalam penelitian ini adalah mengidentifikasi kriteria evaluasi kinerja supplier dan penentuan prioritas supplier yang sesuai dengan kebutuhan perusahaan, dan menentukan urutan prioritas supplier untuk bahan baku utama cetak koran. Terdapat 17 subkriteria yang digunakan dalam evaluasi kinerja supplier dan penentuan prioritas supplier. Metode Analytical Network Process (ANP) dapat dijadikan alternatif untuk suatu permasalahan yang memiliki banyak subkriteria yang saling berkaitan dalam pengambilan keputusan. Selanjutnya metode Technique For Orders Preference by Similarity to Ideal Solution (TOPSIS) digunakan untuk perankingan supplier. Berdasarkan pembobotan subkriteria dengan menggunakan ANP, subkriteria yang paling besar pengaruhnya dalam evaluasi supplier adalah harga penawaran sebesar 0,17227. Selanjutnya, penentuan prioritas supplier dilakukan dengan menggunakan metode TOPSIS dan didapatkan urutan supplier untuk bahan baku kertas CD roll adalah supplier A, B, C, dan D, sedangkan untuk bahan baku tinta web adalah supplier L, N, O, dan M.   ABSTRACT One of the factors that influence the company performance is the presence of suppliers which supplies raw materials. PT Masscom Graphy Semarang is a printing company which has cooperated with several suppliers to ensure continuity of production. Therefore,  supplier performance evaluation conducted by the company is very important to obtain a reliable supplier in the supply of raw materials. The purpose of this research was to identify the supplier performance evaluation criteria and priorities of suppliers in accordance with the company's needs, and determined the priority order of the main raw material supplier for newspaper print. There was 17 sub-criteria used in evaluating the performance of suppliers and prioritization of suppliers. Analytical Network Process (ANP) can be used as an alternative to solve a problem that had many interrelated sub-criteria or influence in decision making. Furthermore, the method Technique For Orders Preference by Similarity to Ideal Solution (TOPSIS) was used for ranking suppliers. Based on the weighted sub-criteria by using ANP, the most influence subcriteria in determining the priority of suppliers offering price of 0.17227. Furthermore, to the supplier prioritization was done by using the TOPSIS method and obtained the order suppliers for raw materials paper roll was a supplier A, B, C, and D, while the raw material for the ink web was a supplier of L, N, O and M.


Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
L. Hosseini ◽  
R. Tavakkoli-Moghaddam ◽  
B. Vahdani ◽  
S. M. Mousavi ◽  
R. Kia

This paper considers four types of the most prominent risks in the supply chain. Their subcriteria and relations between them and within the network are also considered. In a supply chain, risks are mostly created by fluctuations. The aim of this study is to adopt a strategy for eliminating or reducing risks in a supply chain network. Having various solutions helps the supply chain to be resilient. Therefore, five alternatives are considered, namely, total quality management (TQM), leanness, alignment, adaptability, and agility. This paper develops a new network of supply chain risks by considering the interactions between risks. Perhaps, the network elements have interacted with some or all of the factors (clusters) or subfactors. We constitute supply chain risks in the analytic network process (ANP), which attracted less attention in the previous studies. Most of the studies about making a decision in supply chains have been applied in analytic hierarchy process (AHP) network. The present study considers the ANP as a well-known multicriteria decision making (MCDM) technique to choose the best alternative, because of the interdependency and feedbacks of different levels of the network. Finally, the ANP selects TQM as the best alternative among the considered ones.


2018 ◽  
Vol 31 ◽  
pp. 12006 ◽  
Author(s):  
Lisa Rolita ◽  
Bayu Surarso ◽  
Rahmat Gernowo

In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.


2015 ◽  
Vol 23 (1) ◽  
pp. 32-34 ◽  
Author(s):  
S.S. Sreejith

Purpose – Explains why performance evaluation designed for manufacturers is inappropriate for information technology organizations. Design/methodology/approach – Underlines the distinctiveness of the information technology workforce and provides the basis for an effective performance- evaluation system designed for these workers. Findings – Highlights the roles of consensus and transparency in setting and modifying evaluation criteria. Practical implications – Urges the need for a fair and open rewards and recognition system to run in parallel with reformed performance evaluation. Social implications – Provides a way of updating performance evaluation systems to take account of the move from manufacturing to information technology-based jobs in many developed and developing societies. Originality/value – Reveals how best to recognize, reward and assess the performance of information technology workers.


Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph H.K. Lai ◽  
Huiying (Cynthia) Hou ◽  
David J. Edwards ◽  
P.L. Yuen

Purpose This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals. Design/methodology/approach Among the applicable performance indicators that were identified from extant literature, a focus group study shortlisted ten key performance indicators (KPIs) in four categories (safety, physical, financial and environmental) and verified their practicality. Using the analytic network process (ANP) method to process the focus group’s responses yielded importance weightings for the KPIs and developed the intended evaluation model. This model was then validated by a case study. Findings From the empirical data collected, two types of FM performance data and two scenarios of KPI scores were identified. To process these data and scores, a robust calculation method was devised and then proved useful in obtaining an overall score for holistic hospital FM performance. The case study confirmed the appropriateness and validity of the model developed. Research limitations/implications Through illustrating how the ANP method could be applied to develop an FM performance evaluation model, the study contributes knowledge to the multi-criteria decision-making domain. Despite the geographical limitation of the model established (i.e. centered around a group of hospitals investigated in Hong Kong), the study can serve as a reference for developing performance evaluation models for other buildings or infrastructures globally. Practical implications The model constitutes a practical tool for evaluating the FM performance of hospitals. Using this model on a regular basis will enable performance benchmarking and hence, continuous improvement of FM services. Originality/value The ANP model established is the first of its kind tailored for evaluation of hospital FM performance.


2019 ◽  
Vol 11 (20) ◽  
pp. 5668 ◽  
Author(s):  
Pan ◽  
Yang ◽  
Han ◽  
Lu ◽  
Liu

Evaluation of land-use suitability can prevent problems, such as environmental disruption, wastage of resources, and ecological disruption, when unsuitable tourism-based exploration is undertaken in an area. This study summarizes a novel concept and proposes the idea of wellness tourism, which constitutes health preservation, sports and recovery, medical healing, and aged nursing, integrated with Chinese culture. A spatial suitability evaluation system for wellness tourism was developed in a mountain area via the integration of the analytic network process-Delphi. As wellness tourism activities diversified, land suitability was assigned to four kinds of wellness tourism activities, while considering their unique requirements. Comparative analysis and five-degree suitable maps of four kinds of activities revealed that Yining City and its peripheral localities have the potential of functioning as a comprehensive and national wellness tourist destination. The counties of Horgos, Huocheng, Qapqal, Zhaosu, Tekes, Tokkuztara, and Narat should make full use of their strengths, as they have the advantage of catering to different wellness tourism activities. This paper discusses some conceptual aspects of wellness tourism, provides an example for the selection of potential areas for wellness tourism in the mountainous regions of China, and provides baseline information that can support the development of wellness tourism.


Author(s):  
Mahmoud Zamani ◽  
Changiz Valmohammadi

This article aims to develop a novel model for ranking the parameters that influence the building of trust on online shopping in the context of Iran. A multi-criteria decision making (MCDM) model based on a fuzzy analytic network process (ANP) method is developed to systematically clarify the interdependent relationships among the evaluation criteria of trust and then, scientifically evaluate the feasible parameters and rank the priorities of the trust. The results of the proposed model reveal that under the characteristics of trustor (TR) sub-factors, the most important indicator which can affect the trust is propensity to trust. Furthermore, regarding the characteristics of trustee (TE) sub-factors, data quality with a priority of 0.064 is the most important indicator. Also, in the environmental factors (EN) sub-factors, promotions and advertising with a weight of 0.151 is the most significant indicator.


2018 ◽  
Vol 13 (1) ◽  
pp. 137-155 ◽  
Author(s):  
Javad Khazaei Pool ◽  
S. Mohammad Arabzad ◽  
Sobhan Asian ◽  
Milad Fahimi ◽  
Reza Verij Kazemi

Purpose This paper aims to provide a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making (MCDM) method. Design/methodology/approach Data for determining the importance of evaluation criteria and ranking of brands are gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The fuzzy analytic network process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives. Findings The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria. Originality/value The value of this paper is applying FANP decision-making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques used in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.


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