The state of the art development of AHP (1979-2017): A literature review with a social network analysis

Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979?1990, 1991?2001 and 2002?2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions

The state of the art development of AHP (1979-2017): a literature review with a social network analysis

Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979–1990, 1991–2001 and 2002–2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions

α-thalassaemia

Alpha-thalassaemia is inherited as an autosomal recessive disorder characterised by a microcytic hypochromic anaemia, and a clinical phenotype varying from almost asymptomatic to a lethal haemolytic anaemia

The evaluation of investment in time compression technology using an analytic network process

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN036703 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Strategic design for industrial engineering curriculum development to support sustainable smart industry

Technological advancement has created a new landscape for how business functions and is reshaping job profiles prompting companies to revisit their human capacity building. This chain effect ripples back and urges all academic institutes, especially in engineering schools, to not only keep their curricula up-to-date but also equip their instructors with various teaching and learning methods as well as addressing the needs of prospective students and companies, influenced by the progress of technology. Presented in this paper is a strategic design for the development of the Industrial Engineering curriculum to support the sustainable smart industry. Blue ocean strategy was applied in this curriculum development. Fifteen factors were identified to cover six categories: pedagogy, competence, industry needs to attain Industry 4.0, student needs, team's insight, and learning experiences. A new strategy was formed. This new curriculum will strategically focus on strengthening both technical and transversal competences, thematic learning to ease student understanding, and flexibility in learning to support the equal opportunity of learning. "Personalize your competence-based active thematic learning experience to support sustainable smart industry" is the tag line of the new curriculum.- This work is the outcome of project "Curriculum Development of Master's Degree Program in Industrial Engineering for Thailand Sustainable Smart Industry (MSIE 4.0)" that has been funded with support from the European Commission (Project Number: 586137-EPP-1-2017-1-TH-EPPKA2-CBHE-JP). This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein

A Strategic Approach for Automation Technology Initiatives Selection

Part 1: Knowledge-Based Performance ImprovementInternational audienceDespite the rapid development of new manufacturing technologies, a large portion of adoptions fail to achieve expected benefits. Existing models for technology selection are criticized for requiring large computations, and for being time consuming and difficult to use. This paper presents a strategic approach to support decision-makers in automation technology selection that is efficient and easy to apply in practice. It involves technology strategy decisions, process and technology analyses, technology/process ranking and considerations on investment and implementation. The approach has been developed through literature reviews and close collaboration with two case companies, utilizing the action research method. Its use is illustrated in an ongoing automation project at a world leading supplier of plastic pipes systems