Special Issue "Sustainable Mathematical Modelling in Business Analysis"

A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Sustainability and Finance".

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editors

Prof. Dr. Hari Mohan Srivastava
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Guest Editor
Department of Mathematics and Statistics, University of Victoria, Victoria, BC V8W 3R4, Canada
Interests: real and complex analysis; fractional calculus and its applications; integral equations and transforms; higher transcendental functions and their applications; q-series and q-polynomials; analytic number theory; analytic and geometric Inequalities; probability and statistics; inventory modelling and optimization
Special Issues and Collections in MDPI journals
Dr. Shib Sankar Sana
E-Mail Website
Guest Editor
Department of Mathematics, Kishore Bharati Bhagini Nivedita College, Kolkata 700060, India
Interests: inventory control and management; production planning and control; supply chain management; soft computing; biomathematics; business and management
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The mathematical modeling of real-world problems can enhance decision-making capabilities in order to achieve an optimal strategy in a competitive business environment. Generally speaking, the issues of environment and usage of natural resources are extremely significant to reduce environmental pollution, global warming, and unnecessary consumption of limited resources. In this context, environmentally sustainable mathematical modeling can augment the learning and representation of patterns and structure of the data linked with various challenging problems. The idea of green management and operations is to enhance environmental sustainability. Identification, characterization, and business analysis using mathematical models help decision-makers to obtain optimal strategies to tackle complex problems. This Special Issue searches for challenging applied and methodological papers which emphasize on, but are not limited to, the following topics:

  • Business analytics;
  • Risk supply chain management and marketing;
  • Production planning and control: Green manufacturing, waste reduction, recycling, and remanufacturing;
  • Sustainable inventory control and management;
  • Disaster management;
  • Healthcare;
  • Environmental sciences, energy and power systems;
  • Transportation and logistics;
  • Corporate social responsibility;
  • Dynamical system analysis of problems related to agriculture and aquaculture.

This Special Issue welcomes high-quality submissions by researchers around the world.

Prof. Dr. Hari Mohan Srivastava
Dr. Shib Sankar Sana
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Risk and Financial Management is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

Article
A Discount Technique-Based Inventory Management on Electronics Products Supply Chain
J. Risk Financial Manag. 2021, 14(9), 398; https://doi.org/10.3390/jrfm14090398 - 25 Aug 2021
Viewed by 175
Abstract
Inventory management is becoming very challenging for the retailer over the years due to the uncertainty in the demand and supply of products in financial risk and management systems. In a competitive market, running a business smoothly in a highly suitable place is [...] Read more.
Inventory management is becoming very challenging for the retailer over the years due to the uncertainty in the demand and supply of products in financial risk and management systems. In a competitive market, running a business smoothly in a highly suitable place is day by day becoming tough due to the very high fare for those locations. Thus, limited storage is available in those elite places with high fares, and a retailer takes a financial risk by stocking huge amounts of products in those limited storage stores. Thus, the appropriate financial analysis is required to find out optimal strategies (financial decisions) to sustain a business organization of electronic products in a global competitive business environment. As a result, when bulk purchases of electronic products, for example, T.V., Fridges, Oven, etc., have been made by the retailer, he faces two problems. The first one is related to the limited storage; as a result, he has to pay a considerable amount to hold the products for a long time. The second one is shortages of liquid money as he invested massive amounts. To avoid these problems, he offers some price discounts on the market’s original selling price to sell the products quickly for a limited time prior to recovering his capital investment. For that reason, a price, time, and stock dependent realistic demand function have been considered in this proposed paper with two modes of discount policy. The proposed model has been solved by a classical optimization technique from calculus and provides some insights for the retailer. Some numerical examples and graphs are provided to illustrate the model. Full article
(This article belongs to the Special Issue Sustainable Mathematical Modelling in Business Analysis)
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Article
A Sustainable Economic Recycle Quantity Model for Imperfect Production System with Shortages
J. Risk Financial Manag. 2021, 14(4), 173; https://doi.org/10.3390/jrfm14040173 - 10 Apr 2021
Cited by 1 | Viewed by 543
Abstract
Recycling of products has a great impact on contemporary sustainable business strategies. In this study, a sustainable recycling process in a production-inventory model for an imperfect production system with a fixed ratio of recyclable defective products is introduced. The piecewise constant demand rates [...] Read more.
Recycling of products has a great impact on contemporary sustainable business strategies. In this study, a sustainable recycling process in a production-inventory model for an imperfect production system with a fixed ratio of recyclable defective products is introduced. The piecewise constant demand rates of the non-defective items are considered under production run-time, production off-time with positive stock, and production off-time with shortages under varying conditions. Based on the production process, two cases are studied using this model. The first case does not consider recycling processes, while the second case picks up all defective items before sending these items to recycling during the production off-time; the recycled items are added to the main inventory. The aim of this study is to minimize the total cost and identify the optimal order quantity. The manufacturing process with the recycling process provides a better result compared to without recycling in the first case. Some theoretical derivations are developed to enunciate the objective function using the classical optimization technique. To validate the proposed study, sensitivity analysis is performed, and numerical examples are given. Finally, some managerial insights and the scope of future research are provided. Full article
(This article belongs to the Special Issue Sustainable Mathematical Modelling in Business Analysis)
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