Author
Suresh Kumar Goyal
Other affiliations: Concordia University Wisconsin, Post Graduate Institute of Medical Education and Research, Sarojini Naidu Medical College ...read more
Bio: Suresh Kumar Goyal is an academic researcher from Concordia University. The author has contributed to research in topics: Supply chain & Economic order quantity. The author has an hindex of 57, co-authored 300 publications receiving 14624 citations. Previous affiliations of Suresh Kumar Goyal include Concordia University Wisconsin & Post Graduate Institute of Medical Education and Research.
Papers published on a yearly basis
Papers
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TL;DR: The motivations, extensions and generalizations of various models in each sub-class have been discussed in brief to bring out pertinent information regarding model developments in the last decade.
1,247 citations
TL;DR: In this article, a mathematical model for obtaining the economic order quantity for an item for which the supplier permits a fixed delay in settling the amount owed to him is presented, and an example has been solved to illustrate the method.
Abstract: In this paper, mathematical models have been derived for obtaining the economic order quantity for an item for which the supplier permits a fixed delay in settling the amount owed to him. An example has been solved to illustrate the method.
1,204 citations
TL;DR: In this article, the method given in this paper is typically applicable to those inventory problems where a product is procured by a single customer from a single supplier and an example has been solved to illustrate the method.
Abstract: SUMMARY The method given in this paper is typically applicable to those inventory problems where a product is procured by a single customer from a single supplier. An example has been solved to illustrate the method.
917 citations
TL;DR: In this paper, a more general joint economic-lot-size model is suggested and it is shown to provide a lower or equal joint total relevant cost as compared to the model of Banerjee.
Abstract: Banerjee [1] developed a joint economic-lot-size model for the case where a vendor produces to order for a purchaser on a lot-for-lot basis under deterministic conditions. The assumption of lot-for-lot bases is restrictive in nature. In this note, a more general joint economic-lot-size model is suggested and it is shown to provide a lower or equal joint total relevant cost as compared to the model of Banerjee.
654 citations
TL;DR: A fuzzy multicriteria approach for evaluating environmental performance of suppliers, which distinguishes between Benefit and Cost category criteria and selects solutions that are close to the positive ideal solutions and far from negative ideal solutions.
492 citations
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TL;DR: This paper reviews, annotates, and classfies 74 related articles which have appeared since 1966 and specific attention is given to the criteria and analytical methods used in the vendor selection process.
2,089 citations
TL;DR: In this article, the authors provide a focused review of literature in multi-stage supply chain modeling and define a research agenda for future research in this area, which is largely a result of the rising costs of manufacturing, the shrinking resources of manufacturing bases, shortened product life cycles, the leveling of the playing field within manufacturing, and the globalization of market economies.
1,717 citations
TL;DR: This paper critically examines how blockchains, a potentially disruptive technology that is early in its evolution, can overcome many potential barriers and proposes future research propositions and directions that can provide insights into overcoming barriers and adoption of blockchain technology for supply chain management.
Abstract: Globalisation of supply chains makes their management and control more difficult. Blockchain technology, as a distributed digital ledger technology which ensures transparency, traceability, and sec...
1,637 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
TL;DR: The aim of this paper is to review recently published papers in reverse logistic and closed-loop supply chain in scientific journals and identify gaps in the literature to clarify and to suggest future research opportunities.
1,364 citations