Arindam Roy

• M.Sc, M.tech, PhD.
• Bucharest University of Economic Studies

Recently, CCTV surveillance applications have remarkably developed for public welfare. However, the investigation of different techniques for online implementation is always significantly restricted. Numerous implementations propose for detecting irregularities of moving objects in the videotape. Performance of fuzzy in trajectory's anomaly is one...

Waste collection is one of the essential tasks in a smart city. The Internet of Things (IoT) is a promising technology that offers potential solutions for transforming traditional systems. An IoT-based smart bin is a modern technology that offers real-time fill level information to a cleaning authority. However, high uncertainty associated with the...

In this paper, a Quantum-inspired Ant Colony Optimization (Qi-ACO) is proposed to solve a sustainable four-dimensional traveling salesman problem (4DTSP). In 4DTSP, various paths with a different number of conveyances are available to travel between any two cities. In this model, we have considered a sustainable 4DTSP in terms of emission as a cons...

This paper develops a model for shipping of container vessels to fulfill the demand and supply in various ports in a fixed time frame with dynamic demand and supply of each port under fuzzy environment. The time frame is divided into sub-frames which are operation time and travelling time. Speed optimization, simultaneous loading, unloading operati...

Increasing waste generation has become a real challenge because of population growth and rapid urbanization. Given this, most waste bins get overfilled easily because of the improper management of waste and the irregular cleaning of waste bins. The internet of things (IoT) is a remarkable modern technology that offers powerful resolutions to modern...

The internet of things (IoT) is a prominent modern technology that offers robust solutions to modernizing consecutive systems. It accords controlled and calibrated outcomes to streamline smart cities, smart homes, smart industries, and smart environments. In this study, an ultrasonic sensor-based waste filling level is considered on IoT-based waste...

The traveling purchaser problem (TPP) is a notable generalization of the traveling salesman problem (TSP) which involves selecting a subset of markets at a minimum traveling cost such that the demand for each product is satisfied. A solid green traveling purchaser problem (SGTPP) is a TPP in which, at each market, some conveyances are available to...

This investigation took an attempt to solve the cluster traveling salesman problem (CTSP) by the heuristic approach. In this problem, nodes are clustered with given a set of vertices (nodes). Given the set of vertices is divided into a prespecified number of clusters. The size of each cluster is also pre-specified. The main aim is to find the least...

In the present study, a Novel Memetic Genetic Algorithm (NMGA) is developed to solve the Traveling Salesman Problem (TSP). The proposed NMGA is the combination of Boltzmann probability selection and a multi-parent crossover technique with known random mutation. In the proposed multi-parent crossover parents and common crossing point are selected ra...

This paper addresses a rough multi-objective genetic algorithm (R-MOGA) to solve constrained multi-objective solid travelling salesman problems (CMOSTSPs) in rough, fuzzy rough and random rough environments. In the proposed R-MOGA, “3- and 5-level linguistic-based rough age oriented selection” and “adaptive crossover” are used along with a new gene...

This paper presents new rough set based genetic algorithms (RSGAs) to solve constrained solid travelling salesman problems (CSTSPs) with restricted conveyances (CSTSPwR) having uncertain costs and times as interval values. To grow the impreciseness in soft computing (SC), the proposed RSGAs, a rough set based age-dependent selection technique and a...

In this paper, we proposed a hybridized soft computing technique to solve a restricted 4-dimensional TSP (r-4DTSP) where different paths with various numbers of conveyances are available to travel between two cities. Here, some restrictions on paths and conveyances are imposed. The algorithm is a hybridization of genetic algorithm (GA) and swap ope...

In this paper, a hybridized algorithmic approach to solve 4- dimensional Travelling Salesman Problem (4DTSP) where different paths with various number of conveyances are available to travel between two cities. The algorithm is a hybridization of rough set based ant colony optimization (rACO) with genetic algorithm (GA). The initial solutions are pr...

In this paper we develop a multi-item multi-warehouse inventory model for deteriorating items for m secondary warehouses (SWs) and one primary warehouse (PW) with displayed stock and price dependent demand under permissible delay in payment. Items are sold from PW which is located at the main market and due to large stock and insufficient space of...

A production-inventory model for a deteriorating item with time-varying demand and fully backlogged shortages is developed for a two warehouse system. For display and storage of inventory, management hires one warehouse of finite capacity at the market place, called own warehouse abbreviated as OW and another warehouse with large capacity as it may...

This paper develops a production-inventory model for a deteriorating item with stock-dependent demand under two storage facilities over a random planning horizon, which is assumed to follow exponential distribution with known parameter. The effects of learning in set-up, production, selling and reduced selling is incorporated. Different inflation r...

This paper develops multi-item Economic Order Quantity (EOQ) inventory models for breakable units with stock and selling price dependent demand under imprecise space and budget constraints with two storage facilities. There are one rented warehouse called own warehouse (OW) at the market place and another rented warehouse (RW) at a little distance...

A multi-item two stage production inventory system with imperfect production process is formulated. Here, a constraint on the total budget is imposed where the total budget is imprecise in nature. Shortages are allowed and completely backlogged. Stage I (raw materials to semi-finished products) is an automatic process and this process is treated by...

In many inventory situations, purchasers are allowed an interest-free credit period to pay for the goods bought. Depending on the length of that period, the purchaser can earn interest on the sales of the inventory. In this paper, a deterministic economic order quantity (EOQ) inventory model is developed with time dependent demand under permissible...

An “economic production lot size” (EPLS) model for an item with imperfect quality is developed by considering random machine failure. Breakdown of the manufacturing machines is taken into account by considering its failure rate to be random (continuous). The production rate is treated as a decision variable. It is assumed that some defective units...

This paper develops multi-item Economic Order Quantity (EOQ) inventory models for breakable units with stock dependent demand under imprecise constraints. The units are damaged due to the accumulated stress of the stocked items kept in stacked form and the damaged function, i.e. rate of breakability per unit time may be linear or non-linear functio...

This paper develops an inventory model of a volume flexible manufacturing system for a deteriorating item with randomly distributed shelf life, continuous time-varying demand, and shortages over a finite time horizon. It is assumed that the produced units deteriorate over time with uncertainty that follows different distributions (Uniform distribut...

This paper presents a production lot size inventory model in which the production rate constitutes of productions during both regular time and overtime. The demand rate is assumed as stock-dependent and the stock itself is depleted due to demand and deterioration. Supplier’s incentives include price discounts and granting of credit periods for acco...

Demand for a seasonal product persists for a fixed period of time. Normally the “finite time horizon inventory control problems” are formulated for this type of demands. In reality, it is difficult to predict the end of a season precisely. It is thus represented as an uncertain variable and known as random planning horizon. In this paper, we presen...

A production inventory model for a newly launched product is developed incorporating inflation and time value of money. It is assumed that demand of the item is displayed stock dependent and lifetime of the product is random in nature and follows exponential distribution with a known mean. Here learning effect on production and setup cost is incorp...

This paper investigates a production–remanufacturing system for a single product over a known-finite time horizon. Here the production system produces some defective units which are continuously transferred to the remanufacturing unit and the constant demand is satisfied by the perfect items from production and remanufactured units. Remanufacturing...

An inventory model for a deteriorating item (seasonal product) with linearly displayed stock dependent demand is developed in imprecise environment (involving both fuzzy and random parameters) under inflation and time value of money. It is assumed that time horizon, i.e., period of business is random and follows exponential distribution with a know...

Normally inventory models of deteriorating items, such as food products, vegetables, etc. involve imprecise parameters, like imprecise inventory costs, fuzzy storage area, fuzzy budget allocation, etc. In this paper, we aim to provide two defuzzification techniques for two fuzzy inventory models using (i) extension principle and duality theory of n...

An inventory model for a deteriorating item with stock dependent demand is developed under two storage facilities over a random planning horizon, which is assumed to follow exponential distribution with known parameter. For crisp deterioration rate, the expected profit is derived and maximized via genetic algorithm (GA). On the other hand, when det...

In this paper, coordinated sale of differential units of an item through different shops for maximizing the profit is considered. Here demand of the item is influenced by the unit’s price and promotional cost. For illustration, the inventory problem of differential units sold from three different shops owned by a single management is formulated und...

In this paper, coordinated sale of differential units of an item through different shops for maximizing the profit is considered. Here demand of the item is influenced by the unit's price and promotional cost. For illustration, the inventory problem of differential units sold from three different shops owned by a single management is formulated und...