Evaluation and selection of material handling equipment in iron and steel industry using analytic hierarchy process
01 May 2017-Vol. 197, Iss: 1, pp 012060
TL;DR: In this paper, the authors presented the analytic hierarchy process (AHP) as a potential decision-making method for use in the selection of the most suitable material handling (MH) system in an iron and steel industry.
Abstract: The paper presents the analytic hierarchy process (AHP) as a potential decision making method for use in the selection of the most suitable material handling (MH) system in an iron and steel industry In this study, AHP is used in assessing the various material transportation systems employed in a steel manufacturing industry and to decide the best equipment to be used Information on the use of AHP in evaluating MH equipment is provided and an AHP model is proposed to guide the management of an iron and steel Industry, ie, JSW Steel Ltd Most important factors while selecting material transportation equipment and their relative influence on the objective of decision-making model are found A total of seven decision criteria and five different alternatives are considered for this purpose Each alternative is evaluated in terms of the decision criteria and the relative importance (or weight) of each criterion is estimated From the obtained pairwise comparison matrices, the best alternative is chosen This paper provides a good insight into a decision-making model to guide managers for assessing the various material transportation equipment that are commonly employed in a steel manufacturing plant
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TL;DR: In this article, a multi-criteria decision technique based on AHP (Analytic Hierarchy Process) is proposed to realize the selection of material handling equipment for manufacturing plants.
12 citations
01 Jan 2020
TL;DR: A ranking of the various criteria of material handling equipment selection based on the AHP method is proposed and safety, capacity, cost, standardization, maintenance, flexibility, and space utilization are considered.
Abstract: Determining the criteria of Material Handling equipment selection is a primary and important step in the material handling equipment selection. While these criteria often are in conflict with each other due to which selection of equipment is a complex decision-making process. This paper proposes a ranking of the various criteria of material handling equipment selection based on the AHP method. The criteria for selection of MHE considered for this paper are safety, capacity, cost, standardization, maintenance, flexibility, and space utilization. The ranking of the criteria carried out using AHP. An example has been presented for the method.
5 citations
28 Feb 2021
TL;DR: The Analytical Hierarchy Process (AHP) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) procedures in MHE selection are proposed and the results show that the cost criterion gives the greatest weight in selecting MHE.
Abstract: Choosing the best Material Handling Equipment (MHE) is an aspect that needs to be considered in the industrial sector because the amount of capital involved in the procurement process is very large. Many substantial factors influence the MHE selection process. One popular approach was chosen to resolve the MHE selection issue. The concept of Multi-Criteria Decision Making (MCDM) is popularly used because it can solve and handle conflicting components in the MHE selection process. This study proposes the Analytical Hierarchy Process (AHP) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) procedures in MHE selection. AHP is proposed to weigh the MHE selection criteria. MOORA is proposed to compute the rankings of the MHE alternatives. Case studies are applied to this problem. The results show that the cost criterion gives the greatest weight in selecting MHE. Other than that, Of the five selected MHE alternatives, Hand Pallet Truck is the MHE that has the best rating.
5 citations
Cites methods from "Evaluation and selection of materia..."
...[11] use the Analytical Hierarchy ARTICLE INFO ABSTRACT...
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TL;DR: The objective of the proposed research is to decide the best technology for energy storage under the novel idea of hybrid multicriteria decision-making technique under fuzzy environment, that is, fuzzy AHP with fuzzy VIKOR.
Abstract: Energy storage systems are becoming increasingly important, with a growing focus on renewable energy sources that provide highly fluctuating output. Therefore, sound decisions regarding the energy storage systems to be employed need to be made, especially with a systematic and semantic approach. This paper considers the problem of evaluation and selection of energy storage technologies (ESTs). The objective of the proposed research is to decide the best technology for energy storage under the novel idea of hybrid multicriteria decision-making technique under fuzzy environment, that is, fuzzy AHP with fuzzy VIKOR. Electrochemical storage, electrical storage, magnetic storage, mechanical storage, and chemical storage are considered as five alternative energy storage technologies. Energy density, life cycles, cycle efficiency, investment level, suitability to climatic conditions, and required space are considered as six main evaluation criteria. Under each of the main criteria, a set of subcriteria are also considered. The weights of main criteria and subcriteria are determined using fuzzy AHP. With the help of the weights of each set of subcriteria, the weights of alternatives are determined using fuzzy VIKOR. Further, with the help of the main criteria weights and the weights of alternatives determined with respect to each set of subcriteria, the final normalized weights of alternatives are determined. Based on these weights, energy storage technologies are ranked. In addition, the sensitivity analysis is carried out to analyze the variation in ranking pattern of alternatives. From the research findings of this paper, the results are found to be more practical as the evaluation is carried out on an objective basis.
1 citations
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TL;DR: The analytic hierarchy process AHP is flawed as a procedure for ranking alternatives in that the rankings produced by this procedure are arbitrary as discussed by the authors, and the key to correcting this flaw is the synthesis of the AHP with the concepts of multiattribute utility theory.
Abstract: The analytic hierarchy process AHP is flawed as a procedure for ranking alternatives in that the rankings produced by this procedure are arbitrary. This paper provides a brief review of several areas of operational difficulty with the AHP, and then focuses on the arbitrary rankings that occur when the principle of hierarchic composition is assumed. This principle requires that the weights on the higher levels of a hierarchy can be determined independently of the weights on the lower levels. Virtually all of the published examples of the use of the AHP to evaluate alternatives relative to a set of criteria have assumed this principle. The key to correcting this flaw is the synthesis of the AHP with the concepts of multiattribute utility theory.
1,030 citations
TL;DR: In this paper, an overview of the potential benefits derived from a FMS implementation and a method to quantify these benefits for use in engineering economy studies is presented, and an example of its use is given to determine the best manufacturing system.
204 citations
170 citations
TL;DR: In this article, the authors argue that there should be no conflict between the objective of a multicriteria analysis and that of maximizing the wealth of the firm, and they introduce a framework of analysis in which a decision maker's judgments concerning the intangible and difficult-to-quantify criteria are given economic value.
Abstract: Recent recognition of the difficulties in measuring the true economic costs and benefits of major technological alternatives, as well as the much broader scope of analysis required for the full consideration of such alternatives, has highlighted the limitations of traditional capital investment analysis methods. This has led to an interest in the use of multicriteria methods of analysis in which financial returns are treated as one of several criteria. In this paper we argue that there should be no conflict between the objective of a multicriteria analysis and that of maximizing the wealth of the firm. We introduce a framework of analysis in which a decision maker's judgments concerning the intangible and difficult-to-quantify criteria are given economic value. The framework of analysis also incorporates consistency checks on the decision maker's judgments.
127 citations
104 citations