Mohd Muneeb

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Modelling the Dynamic Linkage Amidst Energy Prices and Twin Deficit in India: Empirical Investigation within Linear and Nonlinear Framework

Energies

Energy and electricity are critical prerequisites for every nation and critical components of soc... more Energy and electricity are critical prerequisites for every nation and critical components of social and economic growth. The monetary policy economist has been debating the issue of relying on core inflation or headline inflation, which includes energy, because the energy price is so volatile that it obscures the trend in inflation and dilutes the objectives of monetary policy. This paper aims at analyzing the impact of the twin deficit on energy inflation within a linear and nonlinear framework in India using time series data covering the period from 1971 to 2021. ARDL and NARDL approaches are employed to investigate the linear/symmetric response of energy inflation due to the twin-deficit in India. Estimates show a negative relationship between the twin-deficit and energy inflation in a symmetric model. The results of the asymmetric model reveal that the response of energy inflation due to expansionary fiscal policy (increment in CFD) and contractionary fiscal policy (decline in ...

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A multi-objective integrated supplier selection-production-distribution model for re-furbished products: Towards a circular economy

Renewable and Sustainable Energy Reviews

A multiepitope vaccine candidate against infectious bursal disease virus using immunoinformatics-based reverse vaccinology approach

Frontiers in Veterinary Science

Infectious bursal disease virus is the causative agent of infectious bursal disease (Gumboro dise... more Infectious bursal disease virus is the causative agent of infectious bursal disease (Gumboro disease), a highly contagious immunosuppressive disease of chicken with a substantial economic impact on small- and large-scale poultry industries worldwide. Currently, live attenuated vaccines are widely used to control the disease in chickens despite their issues with safety (immunosuppression and bursal atrophy) and efficiency (breaking through the maternally-derived antibody titer). To overcome the drawbacks, the current study has, for the first time, attempted to construct a computational model of a multiepitope based vaccine candidate against infectious bursal disease virus, which has the potential to overcome the safety and protection issues found in the existing live-attenuated vaccines. The current study used a reverse vaccinology based immunoinformatics approach to construct the vaccine candidate using major and minor capsid proteins of the virus, VP2 and VP3, respectively. The vac...

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A bi-level multi objective programming approach to solve grey problems: an application to closed loop supply chain network

Journal of Modelling in Management

Purpose This paper aims to develop a grey decentralized bi-level multi-objective programming (MOP... more Purpose This paper aims to develop a grey decentralized bi-level multi-objective programming (MOP) model. A solution approach is also proposed for the given model. A production and transportation plan for a closed loop supply chain network under an uncertain environment and different scenarios is also developed. Design/methodology/approach In this paper, we combined grey linear programming (GLP) and fuzzy set theory to present a solution approach for the problem. The proposed model first solves the given problem using GLP. Membership functions for the decision variables under the control of the leader and for the goals are created. These membership functions are then used to generate the final solutions. Findings This paper provides insight for fomenting the decision-making process while providing a more flexible approach in uncertain logistics problems. The deviations of the final solution from the individual best solutions of the two levels are very little. These deviations can fu...

Factors affecting willingness to pay premium prices for socially responsible food products: Evidence from Indian consumers

Business and Society Review

Trends in Outpatient Antibiotic Prescriptions by Emergency Physicians of a Tertiary Hospital in UAE: A Retrospective Cross-Sectional Study

Saudi Journal of Emergency Medicine, 2022

A multi-level decision making model for the supplier selection problem in a fuzzy situation

Operations Research and Decisions, 2017

Supplier selection plays a vital role in evolving an effective supply chain and the overall perfo... more Supplier selection plays a vital role in evolving an effective supply chain and the overall performance of organisations. Choosing suppliers may involve different levels arranged in a hierarchical structure. Decisions are made successively starting from the first level to the last level. Decision variables are partitioned between different levels and are called controlling factors. In this paper, we propose a multi-level supplier selection problem with uncertain or fuzzy demand and supply. Since objectives may be conflicting in nature, possible relaxations in the form of tolerances are provided by the upper level decision makers to avoid decision deadlocks. We use (linear) membership functions to fuzzily describe objective functions, as well as the controlling factors, and generate satisfactory solutions. We extend and present an approach to solving multi-level decision making problems when fuzzy constraints are employed. Different scenarios are constructed within a numerical illust...

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A decision making model under uncertainty for advertisement allocation problem with multiple objectives

Sustainable Operations and Computers, 2021

This paper presents a multi-objective model to assist in developing advertisement allocation patt... more This paper presents a multi-objective model to assist in developing advertisement allocation patterns on television. Television advertising is one of the main tools of marketing where a manufacturer tries to put forth maximum information about his product. This helps in creating awareness about his product and thereby increases the profit margins. Telecasting a certain ad on television is quite costly and thus required proper allocation and optimization. Optimal number if ads for a certain ad will help in achieving economic sustainability and reducing e-waste generated by televisions. The carbon footprint for digital television was found to be 0.088 kg CO 2 / viewer-hour according ato the experimental calculations. Thus if the advertiser adopts the optimum advertisement allocation policy then it will reduce the carbon footprints and will help advertiser in performing his social responsibility. Duration of long and short kinds of ads is considered which need to be telecasted on different genre of channels. Different time zones of a day have different number of viewers thereby resulting in different advertising impacts. Moreover, certain products are gender orientated and they must be taken care to be advertised in the proper genre of channel. Maximization of the impact of advertising and minimization of the advertising cost are taken as the objectives if this study. Moreover, in this paper the budget allocation is not a crisp quantity but is considered to be a random variable following normal distribution. The model is tested on a numerical illustration to presents the results and to show its applicability.

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Cutaneous leishmaniasis in Pakistan

Dermatology Online Journal, 2005

Leishmaniasis is a major health problem worldwide. It is also a particular problem in the rural a... more Leishmaniasis is a major health problem worldwide. It is also a particular problem in the rural areas of Pakistan. The disease occurs in varying presentations, from the self-limited and even self-healing cutaneous forms to fatal systemic disease. Lesions of cutaneous leishmaniasis may occur anywhere on the body but the most likely sites are the exposed parts. The initial papule rapidly gives rise to an ulcer. Systemic leishmaniasis is rarer in Pakistan and invariably fatal if not treated promptly. It affects the internal body organs, particularly the spleen and the liver. Leishmaniasis is transmitted by an infected female sandfly. Cutaneous lesions are usually single and often self-healing, but a presentation with multiple ulcers resulting from multiple bites from the sandfly is not rare in Pakistan. The disease has a very long history and lesions like leishmaniasis have been described dating back to the ninth century (Balkan sore). Cutaneous leishmaniasis has been given various names in different civilizations such as &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;Delhi boil&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; in India, &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;Baghdad boil&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; in Iraq, and &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;saldana&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; in Afghanistan. The organism responsible for leishmaniasis was discovered 100 years ago but the disease has not been eradicated; rather it is on rise in many parts of the world. If control measures are not taken, it might emerge as a major health problem. Pakistan has a burden of cutaneous and visceral leishmaniasis, the mucocutaneous form being almost nonexistent. The physicians need to know the diagnostic criteria as well as the treatment of the disease. Because of a scarcity of dermatologists in the rural areas, most of these cases present to general practitioners. Control of this disease is further complicated by an inadequate supply of appropriate drugs.

SELECTED POSTER PRESENTATIONS 171. Audit of trends in antibiotic prescriptions by emergency physicians of a tertiary hospital

European Journal of Emergency Medicine, 2020

and they initially presented with bleeding from site of bite (p<0.001) and vomiting (p<0.00... more and they initially presented with bleeding from site of bite (p<0.001) and vomiting (p<0.007). Furthermore prolonged bite to anti-snake venom (ASV) time had a significant risk in developing AKI (P < 0.006). Those patients who developed coagulopathy, 47.6% (p<0.001) they encountered the snake in the farm and 72% (p<0.002) had the bite to the lower limb. Similarly to AKI, prolonged bite to anti-snake venom (ASV) time had a significant risk in developing coagulopathy. (p < 0.001)

A Distance Based Method for Solving Multi-Objective Optimization Problems

Journal of Modern Applied Statistical Methods, 2018

A new model for the weighted method of goal programming is proposed based on minimizing the dista... more A new model for the weighted method of goal programming is proposed based on minimizing the distances between ideal objectives to feasible objective space. It provides the best compromised solution for Multi Objective Linear Programming Problems (MOLPP). The proposed model tackles MOLPP by solving a series of single objective subproblems, where the objectives are transformed into constraints. The compromise solution so obtained may be improved by defining priorities in terms of the weight. A criterion is also proposed for deciding the best compromise solution. Applications of the algorithm are discussed for transportation and assignment problems involving multiple and conflicting objectives. Numerical illustrations are given for the proposed model.

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A bi-level decision-making approach for the vendor selection problem with random supply and demand

Management Decision, 2019

Purpose Supplier selection problem is the key process in decision making of supply chain manageme... more Purpose Supplier selection problem is the key process in decision making of supply chain management. An effective selection of vendors is heavily responsible for the success of any organization. Vendor selection problem (VSP) reflects a more practical view when the decision makers involved in the problem are present on different levels. Moreover, vendor selection consists of various random parameters to be dealt with in real life. The purpose of this paper is to present a decentralized bi-level VSP where demand and supply are normal random variables and objectives are fuzzy in nature. Decision makers are present at two levels and are called as leader and follower. As the next purpose, this paper extends and presents a solution approach for fuzzy bi-level multi-objective decision-making model with stochastic constraints. Different scenarios have been developed within a real-life case study based on different sets of controlling factors under the control of leader. Design/methodology/...

Bi-level decision making models for advertising allocation problem under fuzzy environment

International Journal of System Assurance Engineering and Management, 2018

This paper presents bi-level decision making models for advertising planning problem. Advertising... more This paper presents bi-level decision making models for advertising planning problem. Advertising planning process consists of multiple objectives and is generally decentralised involving various hierarchical levels of decision making. Considering the cost and impact related factors, long and short duration ads for a single product are made for telecasting. The models presented in the paper are designed so as to allocate the number of advertisements of each kind to different channels under different time zones of a day with the objectives of maximization of ads impact and minimization of net cost at two different levels. We present two models based on minimum impact value to be achieved by advertisement as a constraint considering that the budget available for advertising is uncertain. We extend and present a solution approach developed for fuzzy bi-level integer decision making model with fuzzy constraints. Finally, we provide a numerical illustration to discuss the applicability of the proposed models.

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A decentralized multi-level decision making model for solid transportation problem with uncertainty

International Journal of System Assurance Engineering and Management, 2018

In this paper, a multi-level model for the solid transportation problem having uncertain variable... more In this paper, a multi-level model for the solid transportation problem having uncertain variables is presented. Multi-level programming deals with the situation where more than one decision maker is available to model decentralized planning problem in any hierarchical system. In the model presented in this paper, all the parameters involved viz. transportation costs, supply availabilities, demands and conveyance capacities are considered as uncertain parameters. As the problem is based on uncertainty theory, the idea of minimizing (or maximizing) the expectation of objective functions under the set of chance constraints is followed to formulate the problem. A crisp model equivalent to the multi-level uncertain solid transportation problem is also given. A fuzzy based solution approach for solving multi-level programming problems is discussed to solve the presented model. Further, a numerical example of a three-level uncertain solid transportation problem with two conveyance options is given in order to understand the model more clearly.

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Decentralized bi-level decision planning model for municipal solid waste recycling and management with cost reliability under uncertain environment

Sustainable Production and Consumption, 2018

Abstract This study presents bi-level decision making model for the management of municipal solid... more Abstract This study presents bi-level decision making model for the management of municipal solid wastes (MSW). The model starts with waste disposals by the people, followed by its collection and distribution to the respective waste treatment facilities (WTF) and disposal centre. The loop continued to the transportation of untreated waste from treatment facilities to disposal centres and finally the transportation of products from treatment facilities to different markets. Minimizing the net transportation cost and maximizing the revenues generated from treatment facilities are considered as objective functions of first and second level respectively. Assuming the uncertainty in transportation, concept of cost reliability in the transportation cost is incorporated. Decisions are made successively from the first level to the second level. Decision variables are partitioned between the two levels and are called as controlling factors. Linear membership functions for fuzzily described objective functions and controlling factors are constructed to obtain the final solutions. Fuzzy Goal Programming is then applied to obtain the final solutions. Finally, we provide a numerical illustration to illustrate and justify the proposed model. The model could be extended by including the transportation mechanism of the used and rejected products from the customers forming a closed loop network of solid waste management.

Cutaneous Leishmanuiasis in Pakistan; How to go about it

Journal of Postgraduate Medical Institute ( …, 2011

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Assessing and optimizing decision‐making policies of India with public employment growth as a key indicator toward sustainable development goals using multicriteria mathematical modeling

Journal of Public Affairs

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