scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Evaluation and Selection of Predicaments in Pharmaceutical Supply Chain using AHP under Fuzzy Environment

E.V.S. Nikhil1, V. Sai Ram1, V. Charan Yadav1, Kalla Kiran Kumar1, Dega Nagaraju1 
01 May 2017-Vol. 197, Iss: 1, pp 012061
TL;DR: The intention of this project is to manifest the process of assessing and selecting the issue that to be addressed first by using multi-criteria decision making technique (MCDM), i.e., fuzzy analytical hierarchy process (FAHP).
Abstract: Pharmaceutical sector plays an important role in the medical and health system Due to the globalization of the business, increasing demand and supply for drugs, growing regulatory requirements, all stages of the pharmaceutical supply chain (SC) are facing numerous predicaments The traditional way of selection and evaluation of these predicaments is customarily done using technical information This approach lacks the ability to project the burning issue that to be addressed first Hence, a computing method of selecting the crucial issue from the existing issues is essential in a pharmaceutical supply chain This paper considers seven different predicaments as criteria and five sub-criteria under each main predicament of a pharmaceutical supply chain The intention of this project is to manifest the process of assessing and selecting the issue that to be addressed first by using multi-criteria decision making technique (MCDM), ie, fuzzy analytical hierarchy process (FAHP) The criteria and sub-criteria weights are calculated and priority assessment of the predicaments is done by using FAHP Finally, from the findings of this work, the predicaments are ranked from most important to least important This gives information to the decision maker (DM) to solve the issue that is affecting the SC the most with respect to the others
References
More filters
Journal ArticleDOI
TL;DR: An evaluation model based on the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) to help the actors in defence industries for the selection of optimal weapon in a fuzzy environment where the vagueness and subjectivity are handled with linguistic values parameterized by triangular fuzzy numbers.
Abstract: The weapon selection problem is a strategic issue and has a significant impact on the efficiency of defense systems. On the other hand, selecting the optimal weapon among many alternatives is a multi-criteria decision-making (MCDM) problem. This paper develops an evaluation model based on the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS), to help the actors in defence industries for the selection of optimal weapon in a fuzzy environment where the vagueness and subjectivity are handled with linguistic values parameterized by triangular fuzzy numbers. The AHP is used to analyze the structure of the weapon selection problem and to determine weights of the criteria, and fuzzy TOPSIS method is used to obtain final ranking. A real world application is conducted to illustrate the utilization of the model for the weapon selection problem. The application could be interpreted as demonstrating the effectiveness and feasibility of the proposed model.

697 citations

Journal ArticleDOI
01 Dec 2004
TL;DR: The proposed fuzzy prioritisation method uses fuzzy pairwise comparison judgements rather than exact numerical values of the comparison ratios and transforms the initial fuzzy prioritisations problem into a non-linear program, which eliminates the need of additional aggregation and ranking procedures.
Abstract: This paper proposes a new approach for tackling the uncertainty and imprecision of the service evaluation process. Identifying suitable service offers, evaluating the offers and choosing the best alternatives are activities that set the scene for the consequent stages in negotiations and influence in a unique manner the following deliberations. The pre-negotiation problem in negotiations over services is regarded as decision-making under uncertainty, based on multiple criteria of quantitative and qualitative nature, where the imprecise decision-maker’s judgements are represented as fuzzy numbers. A new fuzzy modification of the analytic hierarchy process is applied as an evaluation technique. The proposed fuzzy prioritisation method uses fuzzy pairwise comparison judgements rather than exact numerical values of the comparison ratios and transforms the initial fuzzy prioritisation problem into a non-linear program. Unlike the known fuzzy prioritisation techniques, the proposed method derives crisp weights from consistent and inconsistent fuzzy comparison matrices, which eliminates the need of additional aggregation and ranking procedures. A detailed numerical example, illustrating the application of our approach to service evaluation is given.

394 citations

Journal ArticleDOI
TL;DR: The purpose of this study is to develop a systematic review of literature on the real cases that applied AHP to evaluate how the criteria are being defined and measured.

276 citations

Journal ArticleDOI
TL;DR: A logarithmic fuzzy preference programming (LFPP) based methodology for fuzzy AHP priority derivation is proposed, which formulates the priorities of a fuzzy pairwise comparison matrix as a logarithsmic nonlinear programming and derives crisp priorities from fuzzy Pairwise comparison matrices.

257 citations

Journal ArticleDOI
TL;DR: In this paper, the authors identify and evaluate barriers related to the adoption of sustainable consumption and production (SCP) initiatives in the supply chain, and then evaluate the listed barriers to determine their relative importance using an Analytical Hierarchy Process (AHP) technique.

181 citations