Author
Omkarprasad S. Vaidya
Other affiliations: Army Institute of Technology, Pune, Indian Institute of Management Raipur, Indian Institute of Management Ahmedabad
Bio: Omkarprasad S. Vaidya is an academic researcher from Indian Institute of Management Lucknow. The author has contributed to research in topics: Supply chain & Analytic hierarchy process. The author has an hindex of 11, co-authored 28 publications receiving 2741 citations. Previous affiliations of Omkarprasad S. Vaidya include Army Institute of Technology, Pune & Indian Institute of Management Raipur.
Papers
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TL;DR: A literature review of the applications of Analytic Hierarchy Process, which aims to provide a ready reference on AHP, and act as an informative summary kit for the researchers and practitioners for their future work.
2,717 citations
TL;DR: In this paper, a multi-period network equilibrium model was developed by considering the stakeholders' objectives of maximising profit and minimising risk, and the finite-dimensional variational inequality formulations were derived for the underlying network optimisation problem.
Abstract: Risk management holds a crucial role in ensuring efficiency, predictability, and coherency in supply chain operations of an enterprise. Risks are associated with every member of a supply chain network. Thus, an end-to-end risk management approach is essential to fortify the entire supply chain network. In this paper, we consider a supply chain network consisting of suppliers, manufacturers, distributors and retailers, as the representative stakeholders. In particular, we take supply chain operational, and opportunism risks into account, and investigate the roles of flexibility, and social relationship, respectively, as a mitigation approach. We develop a multi-period network equilibrium model by considering the stakeholders’ objectives of maximising profit and minimising risk. Further, the finite-dimensional variational inequality formulations are derived for the underlying network optimisation problem. An algorithm, with nice features for computations, is then applied to three simulated examples in order...
37 citations
TL;DR: A unique approach to evaluate the performance of supply chain using multiple criteria considering multiple criteria, with a flexibility to modify and analyze using the available data sets is presented.
Abstract: Purpose – Understanding the significance of supply chain, demands need of multiple criteria for its performance evaluation. The aim of this paper is to propose an approach to evaluate the performance of supply chain using multiple criteria.Design/methodology/approach – A multi‐criteria decision making tool, like analytic hierarchy process is used to develop an eight step methodology for performance evaluation. The proposed methodology is also elucidated with an illustration and a case from Indian chemical company.Findings – Supply chain performance number is computed, suggesting the present performance status of the supply chain. The methodology also helps rank the various links according to its performance. The analysis leads in computation of supply chain performance number (SCPN): the value lies between 0 and 1.Research limitations/implications – The methodology can be suitably modified to accommodate any number of criteria and supply links, given the structure of the supply chain.Practical implication...
30 citations
TL;DR: In this paper, the authors explore major reasons for supply disruptions and the challenges faced by Indian manufacturers and suggest some remedial actions to minimise (if not overcome) the supply disruption.
30 citations
TL;DR: The proposed approach, ERM-DT enables assign a unique rank to decision making units in the prevalent benchmarking and performance evaluation processes such as DEA, Super efficiency DEA model, etc., under constant return to scale (CRS) assumption.
Abstract: Purpose – The purpose of this paper is to present a tie-breaking procedure for computing performance efficiencies to improve benchmarking and performance evaluation process in a business situation. Design/methodology/approach – The authors propose a unified approach based on data envelopment analysis (DEA) and technique for order of preference by similarity to ideal solution (TOPSIS), to overcome the difficulty of unique ranking in the prevalent benchmarking and performance evaluation processes such as DEA, Super efficiency DEA model, etc., under constant return to scale (CRS) assumption. This model is called as efficiency ranking method using DEA and TOPSIS (ERM-DT). In order to check the consistency of the approach, various input-output combinations (to calculate the efficiencies) have been illustrated. Further, the authors present a case of an Indian Bank to illustrate an application of the proposed approach. Findings – The proposed approach, ERM-DT enables assign a unique rank to decision making units...
29 citations
Cited by
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TL;DR: A literature review of the applications of Analytic Hierarchy Process, which aims to provide a ready reference on AHP, and act as an informative summary kit for the researchers and practitioners for their future work.
2,717 citations
TL;DR: A state-of-the-art literature survey is conducted to taxonomize the research on TOPSIS applications and methodologies and suggests a framework for future attempts in this area for academic researchers and practitioners.
Abstract: Multi-Criteria Decision Aid (MCDA) or Multi-Criteria Decision Making (MCDM) methods have received much attention from researchers and practitioners in evaluating, assessing and ranking alternatives across diverse industries. Among numerous MCDA/MCDM methods developed to solve real-world decision problems, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues to work satisfactorily across different application areas. In this paper, we conduct a state-of-the-art literature survey to taxonomize the research on TOPSIS applications and methodologies. The classification scheme for this review contains 266 scholarly papers from 103 journals since the year 2000, separated into nine application areas: (1) Supply Chain Management and Logistics, (2) Design, Engineering and Manufacturing Systems, (3) Business and Marketing Management, (4) Health, Safety and Environment Management, (5) Human Resources Management, (6) Energy Management, (7) Chemical Engineering, (8) Water Resources Management and (9) Other topics. Scholarly papers in the TOPSIS discipline are further interpreted based on (1) publication year, (2) publication journal, (3) authors' nationality and (4) other methods combined or compared with TOPSIS. We end our review paper with recommendations for future research in TOPSIS decision-making that is both forward-looking and practically oriented. This paper provides useful insights into the TOPSIS method and suggests a framework for future attempts in this area for academic researchers and practitioners.
1,571 citations
01 Jan 1994
TL;DR: In this Chapter, a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view is imagined.
Abstract: In this Chapter, we imagine a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view.
1,329 citations
TL;DR: This research provides evidence that the integrated AHPs are better than the stand-alone AHP, but also aids the researchers and decision makers in applying the integratedAHPs effectively.
993 citations
TL;DR: In this article, the authors classify the literature on the application of big data business analytics (BDBA) on logistics and supply chain management (LSCM) based on the nature of analytics (descriptive, predictive, prescriptive) and the focus of the LSCM (strategy and operations).
938 citations