Amit Ambar Gupta

@gitam.edu

Assistant Professor
GITAM UNIVERSITY

Amit Ambar Gupta


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https://researchid.co/amitambar

EDUCATION

PhD from IIT (BHU) Varanasi, India
M.Tech from NIT Jamshedpur, India
B.E (Mechanical Engineering)

RESEARCH INTERESTS

Operations Management, Supply chain management, Operations research, Luxury products consumption behavior.
9

Scopus Publications

98

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Supply Chain Model for Perishable Goods under Trade Credit Policy: A Literature Review
    Amit Ambar Gupta, Manisha Pallavi Chauhan, Arun Kumar, Manindra Rajak
    Es Food and Agroforestry, 2026
    This paper reviews supply chain model related to perishable goods and also identifies various factors that affect the demand of perishable goods such as fruits, vegetable, diary product, meat etc., and bring out some literature gap.
  • Production Inventory Model for Multi-Item Perishable Goods with Price and Stock-Dependent Demand Under Trade Credit Policy
    Amit Ambar Gupta
    Operations and Supply Chain Management, 2026
    According to the law of demand, price and demand are inversely related. With the increase in price, the demand for an item decreases and vice versa. It is observed that the demand for an item is also influenced by the instantaneous stock level. In this paper, an attempt is made to develop a price and lot-size policy for perishable goods in the case of multi-item, whose demand has been considered to be dependent upon price as well as the stock level, and the goods are of a deteriorating nature. The deteriorating item loses its economic value with time. A mathematical model has been formulated to minimize total supply chain cost under trade credit policy. Illustrative numerical problems and further sensitivity analysis have been carried out. The results obtained show that model behaviour is justified for real-life experiences. It has been observed that the total supply chain cost for all three items increases gradually with the increase in the rate of deterioration. The cycle time, credit period, and lot size decrease with the increase in the deterioration rate. The production inventory model with trade credit financing can be useful for the supply chain managers to reduce supply chain cost and increase supply chain surplus.
  • Reimagining Consumer Experience in the Digital Age: A Strategic and Technological Perspective
    Divya Bharathi, Sudeepta Banerjee, Amit Ambar Gupta, Kunal Gaurav, Aishwarya Suraj Ray, Korapole Suvarchala Rani
    Strategic Evolution from Omnichannel to Metachannel Marketing, 2026
    In the contemporary digital landscape, consumer experience has emerged as a strategic differentiator and a critical determinant of organizational success. This chapter is intended to elaborate the changing face of customer experience in the digital era, especially with emerging technologies, data-driven strategies, and changing consumer expectations, radically changing traditional business to consumer interactions. Advanced tools like artificial intelligence, machine learning, big data analytics, and augmented reality are changing methods of designing, delivering, and managing customer interactions across digital and physical environments is, therefore, pertinent. In emphasizing aspects of personalization, immediacy, and engagement in real time, all these have dramatically changed consumer expectations and call for a rethink for omnichannel consistency and seamless integration. This chapter presents a realistic and future oriented picture of how an organization can strategically reinvent consumer experience in the digital age.
  • Rethinking Marketing for a Sustainable Future: The Role of Green Practices in Brand Strategy
    Sarika Koluguri, Pranati Dash, Amit Ambar Gupta, Kunal Gaurav, Aishwarya Suraj Ray, Saumya Vats
    Sustainable and Inclusive Practices for Building Authentic Brands, 2025
    The imperative for sustainable development has compelled businesses worldwide to integrate environmental and ethical considerations into their core strategies. This chapter has focused on the historical evolution, modes of adoption, and effects of green marketing practices on contemporary brand strategy, especially in relation to long-term sustainability. With a solid foundation based on an extensive literature review, the chapter began with the conceptual framing of sustainability and green marketing, then covered their historical evolution and significance in the present global marketplace. This chapter also discusses the key drivers for the mainstreaming of sustainable marketing, including changing consumer expectations, regulatory pressures, competitive advantage, and shifting social values. Eventually, this chapter argues that sustainability can no longer be consigned to a peripheral concern and must now be counted among the strategic necessities.
  • Examination and class timetabling problem: a case study of an Indian university
    Anil Kumar Agrawal, Susheel Yadav, Amit Ambar Gupta, Shubhendu Pandey
    International Journal of Operational Research, 2024
    Timetabling problem is basically an optimisation problem and is a subset of scheduling problems. A timetabling problem is a problem where events (classes, examination and student) have to be ordered in time slots while satisfying some basic constraints. Here the basic aim is to satisfy various constraints, such as, no student can be scheduled for more than one course at the same time and the maximum number of students that can be scheduled to any particular class must not exceed the sitting capacity of the class. So, the timetabling problem is basically arranging the given set of values (class, subject and students) in such a manner such that the resulting schedule should fulfil all the above stated hard constraints and try to give more close values near to the soft constraints (such as proper distribution of classes over available slots). In the present work, examination timetable and class timetable problems have been considered with several practical features. The problems are formulated as mathematical models and heuristic approach is also proposed to solve them. The heuristic uses the basic framework of genetic algorithm.
  • A genetic algorithm model for optimizing vehicle routing problems with perishable products under time-window and quality requirements
    Anil Kumar Agrawal, Susheel Yadav, Amit Ambar Gupta, Suchit Pandey
    Decision Analytics Journal, 2022
    The Vehicle Routing Problem (VRP) has recently piqued the interest of researchers seeking to improve the efficiency and efficacy of the transportation system in distributing commodities. Many scholars have proposed using a heterogeneous fleet in vehicle routing to minimize distribution costs further. When perishable items need to be distributed at numerous demand points during specific time intervals, the situation becomes more difficult. This paper discusses this variant of VRP and the restriction on accepting products with a minimum stated quality level. This research aims to create and optimize a mathematical model that incorporates the quality issue of a perishable commodity into the distribution process. The given product’s worth is decreasing as its quality deteriorates. This problem is mathematically represented as a Mixed Integer Non-Linear Programming Problem (MINLP). A Genetic Algorithm-based heuristic is also recommended due to the computational complexity required in applying the model to solve real-world situations. The proposed approach is used to solve numerical cases and perform sensitivity analysis.
  • Determining optimal inventory policy and sales price under promotional expenditure for some Veblen products
    Anil Kumar Agrawal, Amit Ambar Gupta, Manu K. Vora
    International Journal of Applied Management Science, 2022
    This paper focuses on determining the optimal promotional expenses as well as optimal sales price and lot-sizing policies for Veblen products, generally being luxury goods consumed conspicuously. The price-demand relationships considered for the product are the ones suggested by Leibenstein (1950). The promotion is assumed to increase the product's perceived value facilitating in increasing the selling price without sacrificing the demand. The effect of promotional expenses has been analysed for the niche and mass markets using two different relationships. For obtaining the optimal pricing, lot-sizing and promotional expenses, a mathematical model has been developed and a GA-based heuristic is also proposed. Numerical examples are taken to illustrate the use of the proposed problem solving approaches and also to carry out sensitivity analyses. The results show almost no impact of variation in setup cost and carrying cost rate on optimal inventory policy, but of the product unit cost.
  • Optimal pricing and lot-sizing policies under promotional expense for some Veblen products
    Anil K. Agrawal, Amit Ambar Gupta, Manu K. Vora
    Opsearch, 2021
  • Pricing and lot-sizing policies for products with demand under Veblen effect
    A.K. Agrawal, A.A. Gupta, M.K. Vora
    Operations Management Research, 2020

RECENT SCHOLAR PUBLICATIONS

  • Production Inventory Model for Multi-item Perishable Goods with Price and Stock-dependent Demand under Trade Credit Policy
    AA Gupta
    Operations and Supply Chain Management: An International Journal 19 (2), 329-338 , 2026
    2026
  • Supply Chain Model for Perishable Goods under Trade Credit Policy: A Literature Review
    AA Gupta, MP Chauhan, A Kumar, M Rajak
    ES Food and Agroforestry 23, 2110 , 2026
    2026
  • Reimagining Consumer Experience in the Digital Age: A Strategic and Technological Perspective
    D Bharathi, S Banerjee, AA Gupta, K Gaurav, AS Ray, KS Rani
    The Strategic Evolution From Omnichannel to Metachannel Marketing, 169-198 , 2026
    2026
    Citations: 2
  • Rethinking Marketing for a Sustainable Future: The Role of Green Practices in Brand Strategy
    S Koluguri, P Dash, AA Gupta, K Gaurav, AS Ray, S Vats
    Sustainable and Inclusive Practices for Building Authentic Brands, 1-30 , 2026
    2026
  • Examination and class timetabling problem: a case study of an Indian university
    AK Agrawal, S Yadav, AA Gupta, S Pandey
    International Journal of Operational Research 50 (3), 291-315 , 2024
    2024
    Citations: 1
  • A new artificial neural network based approach for recognition of handwritten digits
    AK Agrawal, S Yadav, AA Gupta, V Pandey
    International journal of applied pattern recognition 7 (2), 100-121 , 2023
    2023
    Citations: 4
  • A genetic algorithm model for optimizing vehicle routing problems with perishable products under time-window and quality requirements
    AK Agrawal, S Yadav, AA Gupta, S Pandey
    Decision Analytics Journal 5, 100139 , 2022
    2022
    Citations: 71
  • Determining optimal inventory policy and sales price under promotional expenditure for some Veblen products
    AK Agrawal, AA Gupta, MK Vora
    International Journal of Applied Management Science 14 (2), 114-135 , 2022
    2022
    Citations: 2
  • Optimal pricing and lot-sizing policies under promotional expense for some Veblen products
    AK Agrawal, AA Gupta, MK Vora
    OPSEARCH 58 (1), 83-108 , 2021
    2021
    Citations: 11
  • Pricing and lot-sizing policies for products with demand under Veblen effect: Agrawal AK et al.
    AK Agrawal, AA Gupta, MK Vora
    Operations Management Research 13 (1), 85-93 , 2020
    2020
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • A genetic algorithm model for optimizing vehicle routing problems with perishable products under time-window and quality requirements
    AK Agrawal, S Yadav, AA Gupta, S Pandey
    Decision Analytics Journal 5, 100139 , 2022
    2022
    Citations: 71
  • Optimal pricing and lot-sizing policies under promotional expense for some Veblen products
    AK Agrawal, AA Gupta, MK Vora
    OPSEARCH 58 (1), 83-108 , 2021
    2021
    Citations: 11
  • Pricing and lot-sizing policies for products with demand under Veblen effect: Agrawal AK et al.
    AK Agrawal, AA Gupta, MK Vora
    Operations Management Research 13 (1), 85-93 , 2020
    2020
    Citations: 7
  • A new artificial neural network based approach for recognition of handwritten digits
    AK Agrawal, S Yadav, AA Gupta, V Pandey
    International journal of applied pattern recognition 7 (2), 100-121 , 2023
    2023
    Citations: 4
  • Reimagining Consumer Experience in the Digital Age: A Strategic and Technological Perspective
    D Bharathi, S Banerjee, AA Gupta, K Gaurav, AS Ray, KS Rani
    The Strategic Evolution From Omnichannel to Metachannel Marketing, 169-198 , 2026
    2026
    Citations: 2
  • Determining optimal inventory policy and sales price under promotional expenditure for some Veblen products
    AK Agrawal, AA Gupta, MK Vora
    International Journal of Applied Management Science 14 (2), 114-135 , 2022
    2022
    Citations: 2
  • Examination and class timetabling problem: a case study of an Indian university
    AK Agrawal, S Yadav, AA Gupta, S Pandey
    International Journal of Operational Research 50 (3), 291-315 , 2024
    2024
    Citations: 1
  • Production Inventory Model for Multi-item Perishable Goods with Price and Stock-dependent Demand under Trade Credit Policy
    AA Gupta
    Operations and Supply Chain Management: An International Journal 19 (2), 329-338 , 2026
    2026
  • Supply Chain Model for Perishable Goods under Trade Credit Policy: A Literature Review
    AA Gupta, MP Chauhan, A Kumar, M Rajak
    ES Food and Agroforestry 23, 2110 , 2026
    2026
  • Rethinking Marketing for a Sustainable Future: The Role of Green Practices in Brand Strategy
    S Koluguri, P Dash, AA Gupta, K Gaurav, AS Ray, S Vats
    Sustainable and Inclusive Practices for Building Authentic Brands, 1-30 , 2026
    2026

Publications

Agrawal, A. K., *Gupta, A. A. and Vora, M. K. (2020). Pricing and lot-sizing policies for products with demand under Veblen effect. Operations Management Research, 13, 85-93. (Indexed in SSCI, Scopus, ABDC and Q1 category)
Agrawal, A.K., *Gupta, A.A. and Vora, M.K. (2021). Optimal pricing and lot-sizing policies under promotional expense for some Veblen products. OPSEARCH, 58, 83–108. (Indexed in ESCI, Scopus, ABDC and Q2 category)
Agrawal, A. K., *Gupta, A. A. and Vora, M. K. (2022). Determining Optimal Inventory Policy and Sales Price under Promotional Expenditure for Some Veblen Products. International Journal of Applied Management Science, 14(2), 114-135 (Indexed in ESCI, Scopus and Q3 category)
Agrawal, A. K., Yadav, S., Gupta, A. A., Pandey, S. (In Press) Examination and Class Timetabling Problem: A Case Study of an Indian University, International Journal of Operational Research (Indexed in Scopus)
Agrawal, A. K., Yadav, S., Gupta, A. A., Pandey V (In press) A new artificial neural network based approach for recognition of handwritten digits. Int. J. Applied Pattern Recognition. (Indexed in Web of Science)
Agrawal, A. K., Yadav, S., Gupta, A. A., & Pandey, S. (2022). A genetic algorithm model for optimizing vehicle routing problems with perishable products under time-window and quality requirements. Decision Analytics Journal, 5, 100139. (Indexed in Scopus)