Yuvraj Gajpal

University of Manitoba | UMN · Department of Supply Chain Management

Purpose A food delivery app (FDA) is a technological advancement connecting restaurants and consumers, making it possible to deliver food home conveniently. The current study seeks to identify the factors affecting consumers' continuance intention and sharing intention toward the FDA in the USA and Canada using an integrated framework built using t...

Purpose This study aims to examine the factors (Stimuli) enhancing perceived utilitarian, social and conditional values (Organisms) of social commerce (s-commerce) platforms and their impact on small and medium enterprises’ (SMEs’) behavioral intention (Response) to adopt s-commerce. Design/methodology/approach Survey data were gathered from 304 I...

On-demand home service application (HSA) is a technological advancement that has brought various day-today services to our doorstep with just a few clicks. By using consumer-perceived values (utilitarian, hedonic, and social), trust transfer theory, and commitment-trust theory, the present study aims to investigate the factors influencing sharing i...

Tactically, surgical operations are an important frontier of health care systems that involves treatment of injuries, diseases, and other disorders by manual and instrumental means. Further, this frontier constitutes a significant portion of budget in health care systems to provide quality services. Efficient management of operating theatre can red...

Sports officials, players, and fans are concerned about overseas player rankings for the IPL auction. These rankings are becoming progressively essential to investors when premium leagues are commercialized. The decision-makers of the Indian Premier League choose cricketers based on their own experience in sports and based on performance statistics...

In the history of sustainable development, particular attention has been paid to waste management systems (WMS), especially in smart cities. Putting real-world assumptions into practice with real-time waste bins' fill levels has not been considered in previous literature and can be investigated by utilizing the Internet of Things (IoT) concept. In...

The outbreak of COVID-19 has affected the economy worldwide due to entire countries being on lockdown. This has been highly challenging for governments facing constraints in terms of time and resources related to the availability of testing kits for the virus. This paper develops an optimal method for multiple-stage group partition for coronavirus...

The supply chain (SC) network is prone to disturbance due to various uncertainties associated with their subsystems. The COVID-19 outbreak has exposed the global vulnerability of the supply chain network. The current pandemic has severely affected almost every SC network because its members are situated at the international level. One of the reason...

Rezvani (Applied Mathematics and Computation, 262(2015), 191-198) derive Mellin transform for a generalized exponential trapezoidal fuzzy number A = (a, b, c, d)E in order to calculate the mean and variance of the probability density function. In future, other researchers may use those expressions for the mean and variance of the generalized expone...

In recent times, organizations are increasingly adopting blockchain technology in their supply chains due to various advantages such as cost optimization, effective and verified record-keeping, transparency, and route tracking. This paper aims to examine the factors influencing the intention of small and medium enterprises (SMEs) in India to adopt...

The CO2 emission of transportation is significantly reduced by the employment of green vehicles to the existing vehicle fleet of the organizations. This paper intends to optimize the composition of conventional and green vehicles for a logistics distribution problem operating under a carbon emission cap imposed by the government. The underlying pro...

Sustainable transportation is an ever-demanding matter for the cities and societies in light of minimizing global CO2 emission. This paper introduces the mixed fleet based green clustered logistics problem (MFGCLP) under CO2 emission cap to deal with the sustainable development effort of the transportation industry. The mixed fleet consists of hydr...

This paper considers a variant of the classical capacitated vehicle routing problem called clustered vehicle routing problem (CluVRP). In CluVRP, customers are grouped into different clusters. A vehicle visiting a cluster cannot leave the cluster until all customers in the same cluster have been served. Each cluster and customer have to be served o...

The aim of each company/industry is to provide a final product to customers at the minimum possible cost, as well as to protect the environment from degradation. Ensuring the shortest travel distance between involved locations plays an important role in achieving the company’s/industry’s objective as (i) the cost of a final product can be minimized...

The paper considers two-agent order acceptance scheduling problems with different scheduling criteria. Two agents have a set of jobs to be processed by a single machine. The processing time and due date of each job are known in advance. In the order accepting scheduling problem, jobs are allowed to be rejected. The objective of the problem is to ma...

This paper delves into a two-agent scheduling problem in which two agents are competing for a single resource. Each agent has a set of jobs to be processed by a single machine. The processing time, release time, weight, and the due dates of each job are known in advance. Both agents have their objectives, which are conflicting in nature. The first...

In the COVID-19 pandemic situation, the need to adopt cloud computing (CC) applications by education institutions, in general, and higher education (HE) institutions, in particular, has especially increased to engage students in an online mode and remotely carrying out research. The adoption of CC across various sectors, including HE, has been pick...

This paper considers a two-agent single machine scheduling problem, with a weighted number of tardy jobs as objectives. Each agent has a finite set of jobs to be processed on a single machine. Parameters like the processing time, the due date, and the weight of jobs are known in advance. The objective is to minimize the weighted number of tardy job...

The term "green products" is used commonly to describe the products that seek to protect or enhance the environment during production, use, or disposal by conserving resources and minimizing the use of toxic agents, pollution, and waste. Hence, green products offer potential benefits to the environment and human health. Therefore, environmentally c...

This paper considers the distributed permutation flowshop scheduling problem (DPFSP) which is an extension of permutation flowshop scheduling problem (PFSP). In DPFSP, there are multiple parallel factories instead of one factory as in PFSP. Each factory consists of same number of machines, and jobs can be processed in either of the factories to per...

Cloud computing is becoming a profitable technology because of it offers cost-effective IT solutions globally. A well-designed task scheduling algorithm ensures the optimal utilization of clouds resources and reducing execution time dynamically. This research paper deals with the task scheduling of inter-dependent subtasks on unrelated parallel com...

Cooperation between rescue teams is important to improve rescue performance. Vehicles outside of the disaster area usually deliver rescue resources. A two-echelon rescue delivery model is proposed, considering the isolated island of the disaster area where all the roads to the outside are interrupted. This paper first presents a non-cooperation sce...

Experimental studies on newsvendor ordering behavior offer conflicting explanations as to the cause of the deviation from the optimal risk-neutral behavior. With one exception, studies have neither explored prospect theory as possible explanations, nor investigated exactly how this prospecting behavior comes to be. We conduct two experiments and de...

A Multi-Depot Green Vehicle Routing Problem (MDGVRP) is considered in this paper. In MDGVRP, Alternative Fuel-powered Vehicles (AFVs) start from different depots, serve customers, and, at the end, return to the original depots. The limited fuel tank capacity of AFVs forces them to visit Alternative Fuel Stations (AFS) for refueling. The objective i...

In supply chain operation practices, lead time uncertainty is a common management issue. Uncertain lead time can lead to increased inventory costs and unstable service levels, which will directly affect the overall operation performance of the supply chain. While considering environmental performance in supply chain, it is important to understand h...

The green vehicle routing problem is a variation of the classic vehicle routing problem in which the transportation fleet is composed of electric vehicles with limited autonomy in need of recharge during their duties. As an NP-hard problem, this problem is very difficult to solve. In this paper, we first propose a memetic algorithm (MA)—a populatio...

A major goal for port authorities, operators, and investors is to achieve efficient operations and effective environmental protection. This is because the environmental performance of a container port is important for its competitiveness and sustainable development. However, the container ports along the Maritime Silk Road (MSR) have caused numerou...

This paper considers the distribution system of a school feeding program (mid-day meals), wherein a set of delivery vehicles transfer cooked food from a kitchen facility to various schools within a specified delivery deadline. The food is required to be delivered before the lunch period, which is consistent across all the schools. A delay in food d...

A Multi-depot Green Vehicle Routing Problem (MDGVRP) is considered in this paper. An Ant Colony System-based metaheuristic is proposed to find the solution to this problem. The solution for MDGVRP is useful for companies, who employ the Alternative Fuel-Powered Vehicles (AFVs) to deal with the obstacles brought by the limited number of the Alternat...

We consider a single-machine scheduling problem with two-agents, each with a set of non-pre-emptive jobs, where two agents compete for the use of a single processing resource. A switchover time arises whenever a job of one agent is processed after a job of another agent. Each agent wants to minimize a certain objective function, which depends upon...

The capacitated green vehicle routing problem is considered in this paper as a new variant of the vehicle routing problem. In this problem, alternative fuel-powered vehicles (AFVs) are used for distributing products. AFVs are assumed to have low fuel tank capacity. Therefore, during their distribution process, AFVs are required to visit alternative...

Due to growing environmental concerns about greenhouse gas (GHG) emissions, people are more incline to use electric vehicles in various distribution services. Because of the limited battery capacity, electric vehicles are required to visit recharging stations en-route. Therefore, the routing schemes of conventional vehicles may not be suitable as t...

This paper presents task scheduling in cloud computing environment. Many parallel computing resources work simultaneously in cloud computing environment to process the jobs submitted by the end users. Each job is divided in the number of sub-tasks which can be processed independently. When a resource start processing a new sub-task, it requires pre...

This paper presents task scheduling in cloud computing environment, where two customers compete for the same set of resources. The purpose is to minimize the objective function of first customer subject to an upper bound on the objective function of second customer. Two customers has set of jobs which are processed by parallel computing resources....

The paper presents a modified visual clustering method for patients visiting diagnostic units (DUs) using self-organizing map approach. The clustering of patients in homogenous groups helps healthcare managers in efficient scheduling of patients in each homogenous group such that their waiting time can be minimized. The grouping of patients would a...

The present work considers a scheduling problem in multiple operation theatre (OT) to accommodate emergency patients. This work assumes that emergency case scenarios have been obtained from historical data. The objective of the model presented here is to minimise total expected disturbance (TED). The minimization of TED is expected to help OT manag...

This paper deals with a stochastic production repair model with chance constraints. A solution to such problems has great importance to the managers because such a solution serves as an invaluable tool for them in the process of developing a production plan to their companies. The common way of tackling such a problem is to derive the crisp equival...

Cloud computing has an ability to compute many jobs of different users in the parallel environment with limited resources. Cloud resource scheduling is one key factor for optimum utilization of cloud infrastructure to deliver the economical cloud services in the throat cut competition environment. Scheduling of many tasks simultaneously on availabl...

The objective of this work is to provide a unique visual approach for scheduling patients across diagnostic units (DU). Motivated by literature on supply chain scheduling we use self-organizing map (SOM) based algorithm to schedule patients across DUs. Numerical experiments show SOM to be effective in scheduling patients across DUs.

This paper highlights the issue of Greenhouse gas (GHG) emission by information technology industry and provides a framework for sustainability in information technology. The number of clicks on the internet is increasing day by day due to growing number of internet users. The click at internet actives forces the server to activate and the activati...

Ramakrishna Care Hospital operates as a multi-speciality hospital and is about to celebrate its ninth annual day. Ramakrishna Care Hospital is facing many challenges such as financial constraints, lack of proper infrastructure and lack of adequate number of trained medical team. The case is focussed on operation theatre department at Ramakrishna C...

Abstract: Integrated Network Traffic Visualization System (INTVS) is a security system used for decision making against the malicious traffic. This paper presents usage of fuzzy fault tree analysis (FFTA) technique to get the reliability of INTVS. Fault-tree analysis incorporates the trapezoidal fuzzy numbers and minimal cut sets (MCSS) approach fo...

This paper proposes heuristics for the single machine scheduling problem, in which two agents are considered. A set of jobs is involved in each agent and processed by only one processing resource. The objective is to minimize the total completion time of jobs in the first agent subject to an upper bound on the total completion time of the jobs for...

Typically, construction contractors operate under cash-constrained operating conditions. The lag between the time when contractors spend money to accomplish work on site and the time when payments are actually made by clients, which partially compensate contractors for the accomplished work, constantly creates a finance deficit. Contractors often s...

This paper considers a multi-period production system where a set of machines are arranged in parallel. The machines are unreliable and the failure rate of machine depends on the load assigned to the machine. The expected production rate of the system is considered to be a non-monotonic function of its load. Because of the machine failure rate, the...