A bibliometric based survey on AHP and TOPSIS methods has been conducted.Scopus database was employed to retrieve the required data for this analysis.Assessment of quantitative and qualitative bibliometric indicators was obtainable.Efficacy of these methods promotes the development of related research.More scientific research interests will be devoted to these methods in the future. In recent years, the employment of multiple criteria decision analysis (MCDA) techniques in solving complex real-world problems has increased exponentially. The willingness to build advanced decision models, with higher capabilities to support decision making in a wide range of applications, promotes the integration of MCDA techniques with efficient systems such as intelligence and expert systems, geographic information systems, etc. Amongst the most applied MCDA techniques are Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The development of a comprehensive perspective on research activities associated with the applications of these methods provides insights into the contributions of countries, institutes, authors and journals towards the advancements of these methods. Furthermore, it helps in identifying the status and trends of research. This in turn will help researchers in shaping up and improving future research activities and investments. To meet these aims, a bibliometric analysis based on data harvested from Scopus database was carried out to identify a set of bibliometric performance indicators (i.e. quantitative indicators such as productivity, and qualitative indicators such as citations and Hirsch index (h-index)). Additionally, bibliometric visualization maps were employed to identify the hot spots of research. The total research output was 10,188 documents for AHP and 2412 documents for TOPSIS. China took a leading position in AHP research (3513 documents; 34.5%). It was also the leading country in TOPSIS research (846 documents; 35.1%). The most collaborated country in AHP research was the United States, while in case of TOPSIS it was China. The United States had gained the highest h-index (78) in AHP research, while in TOPSIS it was Taiwan with h-index of 46. Expert Systems with Applications journal was the most productive journal in AHP (204; 2.0%) and TOPSIS research (125; 5.2%), simultaneously. University of Tehran, Iran and Islamic Azad University, Iran were the most productive institutions in AHP (173; 1.7%) and TOPSIS (115; 4.8%) research, simultaneously. The major hot topics that utilized AHP and will continue to be active include different applications of geographic information systems, risk modeling and supply chain management. While for TOPSIS, they are supply chain management and sustainability research. Overall, this analysis has shown increasing recognition of powerful of MCDA techniques to support strategic decisions. The efficacy of these methods in the previous context promotes their progress and advancements.

https://scholar.ptuk.edu.ps/bitstream/123456789/349/1/TOPSIS.pdf

A bibliometric-based survey on AHP and TOPSIS techniques

The analytic hierarchy process supporting decision making for sustainable development: An overview of applications

The mediating effect of green innovation on the relationship between green supply chain management and environmental performance

Effects of ‘green’ training on pro-environmental behaviors and job satisfaction: Evidence from the Italian healthcare sector

The main purpose of this research is to develop and deploy an analytical framework for measuring the environmental performance of manufacturing supply chains. This work's theoretical bases combine and reconcile three major areas: supply chain management, environmental management and performance measurement. Researchers have suggested many empirical criteria for green supply chain (GSC) performance measurement and proposed both qualitative and quantitative frameworks. However, these are mainly operational in nature and specific to the focal company. This research develops an innovative GSC performance measurement framework by integrating supply chain processes (supplier relationship management, internal supply chain management and customer relationship management) with organisational decision levels (both strategic and operational). Environmental planning, environmental auditing, management commitment, environmental performance, economic performance and operational performance are the key level constructs. The proposed framework is then applied to three selected manufacturing organisations in the UK. Their GSC performance is measured and benchmarked by using the analytic hierarchy process (AHP), a multiple-attribute decision-making technique. The AHP-based framework offers an effective way to measure and benchmark organisations' GSC performance. This study has both theoretical and practical implications. Theoretically it contributes holistic constructs for designing a GSC and managing it for sustainability; and practically it helps industry practitioners to measure and improve the environmental performance of their supply chain.

Green supply chain performance measurement using the analytic hierarchy process: a comparative analysis of manufacturing organisations

Analytic Hierarchy Process and Supply Chain Management: A Bibliometric Study☆

Multi-criteria assessment of the benefits of a supply chain management training considering green issues

Resource allocation (RA) and supplier selection (SS) are two major decision problems regarding supply chain management (SCM). A supply chain manager may solve these problems by considering a single criterion, for instance, costs, customer satisfaction, or delivery time. Applying analytic hierarchy process (AHP), the supply chain manager may combine such criteria to enhance a compromised solution. This chapter presents AHP applications to solve two real SCM problems faced by Brazilian companies: one problem regarding the RA in the automotive industry and another one to SS in a chemical corporation.

/pdf/analytic-hierarchy-process-applied-to-supply-chain-3hfe28swef.pdf

Analytic Hierarchy Process Applied to Supply Chain Management

A selecao de fornecedores e um problema complexo devido a diversidade de criterios quantitativos ou qualitativos que podem ser considerados. Este artigo descreve a modelagem do problema de selecao de PSL - Prestadores de Servicos Logisticos em uma industria quimica e a sua solucao, por meio de metodos de tomada de decisao com multiplos criterios. Na definicao da estrutura multicriterial do modelo, utilizou-se numa primeira etapa, o procedimento BOCR - Beneficios, Oportunidades, Custos e Riscos e aplicou-se, numa segunda etapa, o AHP - Analytic Hierarchy Process em ambiente online, considerando a possibilidade de tomada de decisao em grupo. Desta forma, numa aplicacao real evidenciou-se a importância de se adotar um processo estruturado para a selecao de PSL, baseado em um procedimento consistente e independente das caracteristicas do ambiente. Neste sentido, o Modelo BOCR pode ser combinado com diferentes metodos multicriterios, tais como AHP. Palavras-Chave: Selecao de prestadores de servicos logisticos, AHP, BOCR, Industria quimica.

Modelagem com ahp e bocr para a seleção de prestadores de serviços logísticos

Supply chain management (SCM) is a critical factor in the current global scenario. This organizational capability has a recent knowledge base, which is being accumulated, validated, and certified by groups like the Association for Operations Management (APICS).Â Therefore, training in SCM has been growing as one of the most convenient ways of becoming â€œCertified in Production and Inventory Managementâ€ (CPIM) from APICS.Â Companies all over the world have invested in SCM training; however, some companies have conditioned the continuity of their training programs to the benefits assessment. This paper contributes by proposing an evaluation model for specific program training on SCM. This model was applied in a global chemical company, which allowed capturing its impact on organizational and individual competencies, as well as on the core competencies.Â The proposed model includes the Analytic Hierarchy Process (AHP) and concepts in the SCM literature.Â The main result revealed by this research is that an SCM training based on APICS CPIM is really perceived as beneficial, in individual or organizational terms, for a real-world company. Therefore, this company should be confident that its SCM training program is improving and strengthening its core competencies.

Claudemir Leif Tramarico

Papers

Analytic Hierarchy Process and Supply Chain Management: A Bibliometric Study☆

Multi-criteria assessment of the benefits of a supply chain management training considering green issues

Analytic Hierarchy Process Applied to Supply Chain Management

Modelagem com ahp e bocr para a seleção de prestadores de serviços logísticos

Benefits assessment of training on supply chain management