A review of applications of Analytic Hierarchy Process in operations management

Purpose – The purpose of this paper is to present a detailed literature review of the recent applications of the analytic hierarchy process (AHP) and analytic network process (ANP) group decision‐making methodologies.Design/methodology/approach – Among more than 600 related papers published in the period 2005‐2009, a total of 232 application articles published in highly reputed international academic journals were selected and referenced in this paper. Papers were categorized according to application areas, subject titles, publication date, country of origin, academic journals, and integrated methodologies, and are summarized herein by various tables and charts.Findings – The findings show that during the years 2005‐2009, use of the AHP technique has continued to increase exponentially. Moreover, it is expected that ANP will gain more popularity in the future, as the benefits of ANP become better understood. Applications of AHP have been dominant in manufacturing, followed by the environmental management ...

The analytic hierarchy process and analytic network process: an overview of applications

A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process

A critical review of the literature highlighted the need for a new taxonomy encompassing the most relevant barriers stemmed from previous studies, and accounting for interactions and independences of the barriers to avoid overlaps and implicit interactions. Based on an extensive literature review the paper provides a novel approach for barriers to the adoption of industrial energy-efficient technologies, coping with the issues risen by the review of the literature. We developed a taxonomy adaptable to empirical research, and able to evaluate the differences between perceived and real barriers, the effect of the barriers on decision-making processes, and the interactions among barriers. We modeled three types of interactions, i.e., causal relationship, composite effect and hidden effect, in order to start analyzing the dynamics among barriers, and tested the taxonomy in a preliminary investigation. The study proposes a useful instrument both to enterprises and policy-makers to identify critical factors to improve industrial energy efficiency and to open the research to further investigation in this topic.

A novel approach for barriers to industrial energy efficiency

http://digital.csic.es/bitstream/10261/105810/4/An%20AHP%20ANP.pdf

An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects

Barriers to energy efficiency in small industry clusters: Multi-criteria-based prioritization using the analytic hierarchy process

Role of energy efficiency in sustainable development of small-scale industry clusters: an empirical study

Small Scale Industries (SSIs) are a crucial component of the Indian economy and the majority of them exist in clusters. Survival and growth of such clusters in the current globalized era hinges on three vital dimensions of sustainability viz. Economic, Environmental, and Social. In energy intensive SSIs, the first two dimensions depend on effective utilization of energy, a key input in their operations. The improved Energy-Efficiency (EE) helps not only in enhancing competitiveness through cost reduction, but also in minimizing environmental degradation. But, a good understanding of factors influencing EE is essential for its improvement. This paper attempts to probe these factors in an energy intensive Brick and Tile cluster in India. Based on the primary data from 44 SSIs, the importance of energy input is established using a Cobb-Douglas production function. The energy consumption pattern and associated environmental pollution are also studied. The variables influencing EE are classified a priori under four categories viz. Technical Factor (TF), Economic Factor (EF), Human Resource Factor (HRF) and Organizational and Behaviour Factor (OBF). While the TF comprises variables like age of plant and machinery, quality of energy used, and process specific variables, the EF includes plant capacity utilization, resource use efficiency, and production volume. Similarly, the HRF involves labour skill level, owner/supervisor education, and business experience of the owner, with OBF encompassing variables such as work-practices, layout and housekeeping, importance attached to energy, and the external interaction level. Regression analysis is adopted while assessing the significance of these factors in explaining the variation in EE. The production function revealed energy as the most important contributor to the value of output amongst all inputs. Though all the hypothesized factors are found significant, EF and OBF obtained the top two ranks. These results have useful policy implications for ensuring Sustainable growth of the SSI sector.

Energy Efficiency for Sustainable Development of small Industry Clusters: What Factors Influence it?

Cleaner Production: A brief literature review

https://cyberleninka.org/article/n/491.pdf

N. Nagesha

Papers

Barriers to energy efficiency in small industry clusters: Multi-criteria-based prioritization using the analytic hierarchy process

Role of energy efficiency in sustainable development of small-scale industry clusters: an empirical study

Energy Efficiency for Sustainable Development of small Industry Clusters: What Factors Influence it?

Cleaner Production: A brief literature review

Assessment of Cleaner Production Level in Agro based Industries – A Fuzzy Logic Approach