Department of Mechanical engineering

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End date: 2009Subject: search.filters.subject.Analytical hierarchy process (AHP)

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Now showing 1 - 6 of 6
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    An AHP model for quantification of benefits of World-class Maintenance Systems
    (Inder Science, 2007-01) Mishra, Rajesh P
    In recent times, organisations are failing in their attempt to adapt and implement Total Productive Maintenance (TPM). Researchers are attributing these failures to the shortcomings of TPM, which resulted in the development of World-class Maintenance Systems (WMS). Different frameworks have been proposed to define and operate world-class maintenance in the literature. A comparative analysis of frameworks in our earlier study revealed various best practices based on which a new framework for WMS has been proposed. Contemporary organisations willing to adapt WMS find it difficult to initiate such a change, as it requires proper justification to convince top management. Further, to initiate the adaptation of WMS as a policy decision, it is necessary to quantify the benefits of WMS. Hence in this paper, an attempt has been made to demonstrate the application of Analytic Hierarchy Process (AHP) for the quantification of benefits of WMS. This model showed that implementing WMS would result in overall improvement in the performance of an organisation.
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    Justification of world‐class maintenance systems using analytic hierarchy constant sum method
    (Emerald, 2009-03) Mishra, Rajesh P
    In recent times, many organizations implementing total productive maintenance (TPM) have been failing in their attempts. Researchers attribute these failures to the shortcomings of TPM and of the implementing organizations. This paper aims to conduct a detailed study in order to understand these shortcomings and seeks to propose various solutions in the form of “best practices”, which leads to the development of world‐class maintenance systems (WMS). However, development of such alterative maintenance systems raises the following question: if an organization is planning to implement and improve their existing maintenance system then how can the manager make a decision between choosing alternative systems such as traditional maintenance systems, TPM and WMS? In the case of TPM or WMS, top management should be involved from the beginning to implement and follow up, as these decisions are complex and involve huge investment in the long term. Before starting implementation, top management should be convinced of the necessary justification, which requires analysis of various qualitative and quantitative factors apart from analyzing various tangible and intangible benefits. In such a situation, the conventional, financial justification techniques alone cannot be used
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    FUGEN: a tool for the design of layouts for cellular manufacturing systems
    (Inder Science, 2009-05) Sangwan, Kuldip Singh
    Design of layouts for Cellular Manufacturing Systems (CMSs) has not received attention by researchers as much as cell formation in cellular manufacturing. In this paper a mathematical model, formulated as a multicriteria Quadratic Assignment Problem (QAP) is proposed for the design of layouts for CMSs with the objective of minimising the material handling cost (quantitative) and maximising the closeness rating (qualitative). A Genetic Algorithm (GA)-based tool called FUGEN, which makes use of crossover, mutation (inversion) and direct entry (elitism) with embedded fuzzy logic and Analytic Hierarchy Process (AHP) models, is developed for the design of layouts for CMSs. An attempt is made to make the model practical by considering the production volume, transfer batch size and operational sequence of parts. The proposed tool is validated using an example from the literature.
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    Multi-attribute decision models for justification of cellular manufacturing systems
    (Inder Science, 2004-11) Sangwan, Kuldip Singh
    There is a general challenge offered to the field of engineering economics by the introduction of advanced manufacturing systems. Typically, the traditional approaches do not account for the significant intangible benefits offered by cellular manufacturing systems. In this paper, an attempt has been made to overcome the above-mentioned deficiencies by presenting two multi-attribute decision models – analytical hierarchy process and performance value analysis – for the justification of CMS. The usefulness of the proposed models is demonstrated through a case situation.
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    Decision framework for capacity decision in a supply chain
    (Inder Science, 2006-12) Routroy, Srikanta
    Capacity decision in the supply chain is a complex, multi-attribute decision problem that must be accomplished within a constrained resource environment. An Analytic Hierarchy Process (AHP) allows decision-makers to find the priority values of the potential facilities' location in the supply chain by considering the relevant attributes. These priority values have to be maximised, whereas the cost of facilities' locations, which depends upon the number of such locations and their capacity and the cost associated owing to transportation of raw materials between suppliers and facilities' locations and of finished products between markets and facilities locations, have to be minimised while making capacity decision in the supply chain. For this, a decision framework is developed which integrates the AHP with a 0–1 integer-programming model. A simulated annealing model is used for solving the capacity decision problem in the supply chain.
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    Selection of Third Party Logistics Provider in supply chain
    (Inder Science, 2009) Routroy, Srikanta
    For most of the manufacturing firms, logistics is not considered to be a core competency and it is often performed by Third Party Logistics Provider (TPLP). The present work describes an efficient decision framework for TPLP evaluation and selection in supply chain. The objective of this paper is to explain how an Analytic Hierarchy Process (AHP) and Performance Value Analysis (PVA) algorithm can be used to capture and analyse Significant Categories (SCs) and Performance Indicators (PIs) for ranking the TPLPs effectively. The application of decision framework for TPLP evaluation and selection has been demonstrated with a case situation.