Customer Coverage Research Articles

Управление логистическими процессами в трансграничной электронной коммерции

In the context of the globalization of the economy and the development of cross-border e-commerce, the importance of cross-border logistics is increasing, allowing for an effective process of product distribution. The issues of organizing transport and logistics processes during the delivery of goods within the framework of the functioning of cross-border e-commerce are discussed. The main aspects of the development of e-commerce logistics and its impact on the trading business have been studied. An analysis of the cross-border e-commerce market in Russia is carried out. It is noted that currently the global logistics industry is in an unstable environment. The main directions and trends in the development of logistics services in modern conditions are considered and the specifics of adapting the process of goods distribution within the framework of cross-border e-commerce to changes in the external environment are investigated. The distinctive features of e-commerce logistics have been studied in the context of its impact on the trading business, which allows for increased efficiency of logistics processes such as procurement, transportation, order processing, inventory and warehouse management, packaging and labeling. It has been proven that with the development of information technology and telecommunication networks, as well as increasing demand in the field of online trading, the need for effective logistics support is significantly increasing, and delivery speed is becoming increasingly important to provide quality service to consumers. The advantages of e-commerce are substantiated from the perspective of subjects of trade and logistics activities, which include the global nature of customer coverage and the convenience of inter-subject interaction, reduction of operating costs of trade and logistics activities, expanded opportunities for marketing and advertising support, increased level of automation of e-commerce logistics management processes.

Impact of customer calls consistency on sales with correlation between sales and its affecting variables

ACI Pharma, the pharmaceutical wing of Advanced Chemical Industries (ACI) Limited, has faced a sales falling issue despite the remarkable promotional costs. The investigation has been done to find the association between the sales-affecting variables and sales. The required data have been collected from ACI Pharma. The proposed study uses sales and five influential variables, such as promotional cost, product knowledge, target customer coverage, random customer coverage, and call consistency, to investigate the expected association. Variables have considered the average performance of 634 salespeople from July to September 2023. Salesmen in the 80-100 cluster show more productivity and obedience than others. Product knowledge and promotional cost exhibit positive correlations with sales, but customer coverage numbers, either target or random, present a negative correlation with sales. The study only shows the direction of the relation between two variables rather than the mathematical impact of variables on sales. Future studies are required based on regression analysis for statistical inference of sales-affecting variables on sales. ACI Pharma is using the research output and benefiting. Other selling-based organizations suffering from similar problems may be beneficiaries of this study. The most significant value of the study is finding the role of call consistency in the sales performance of the sales reps.

A dataset of recorded electricity outages by United States county 2014–2022

In this Data Descriptor, we present county-level electricity outage estimates at 15-minute intervals from 2014 to 2022. By 2022 92% of customers in the 50 US States, Washington DC, and Puerto Rico are represented. These data have been produced by the Environment for Analysis of Geo-Located Energy Information (EAGLE-ITM), a geographic information system and data visualization platform created at Oak Ridge National Laboratory to map the population experiencing electricity outages every 15 minutes at the county level. Although these data do not cover every US customer, they represent the most comprehensive outage information ever compiled for the United States. The rate of coverage increases through time between 2014 and 2022. We present a quantitative Data Quality Index for these data for the years 2018–2022 to demonstrate temporal changes in customer coverage rates by FEMA region and indicators of data collection gaps or other errors.

Penerapan Bot Telegram untuk Sistem Monitoring Jaringan Intranet Daerah di Instansi Pemerintahan

Currently, the internet has become a basic need in the process of providing information and knowledge. Public, government and private services compete with each other in the use of information technology, which is expected to support employee performance and service. Therefore, human resources are needed who not only master material aspects, but also have adequate capacity and ability to apply and develop information in all fields. The use of this monitoring system is very necessary for the sidoarjo communicarions and information services departement and institutions that operate in the network sector and also have a fairly broad and complex customer coverage. Problems that often occur are slow internet connections, broken network cables, damaged network devices, etc. At that time, a network monitoring system was needed as a system that could detect when the network connection was lost. The research method used in this research is experimentation, namely a category of research that aims to find the cause and effect situation of a phenomenon. Therefore, this research is to investigate cause and effect, in accordance with previous conditions. From the results of the tests carried out, Mikrotik succeeded in sending notification messages in real time to the Telegram bot, with an average response time of 1 second in each condition. Router and Telegram will detect and send real-time message notifications to administrators if the internet connection status changes from off to active or vice versa

Customers Reactions on Service Delivery by Major Telecommunications Operators in Nigerian Newspapers

Data from the Nigeria Communications Commission (NCC) stated that MTN lost a record of 667,245 Internet subscribers in one month in 2019.Figure shows that MTN’s total Internet subscribers stood at 52.2 million in July 2019 while the number dropped to 51.6 million in August 2019. It was observed that customers’ reactions bordered on issues ranging from unsolicited calls and short message services (SMS), unsubstantiated deductions of call credit units, poor service connection, network failure, cumbersome SIM swap process among others. This paper, thus, examines two Nigerian national dailies-The Punch and The Nation newspapers coverage of customers’ reaction to mobile telecommunication network services from 2015 to 2017. Using the content analysis research method, the study is anchored on the Social Exchange theory. The findings revealed a significant pattern of more negative than positive reactions by subscribers within the years under study. The negative complaints were high in 2015, dropped significantly in 2016, and rose again in 2017. On this, MTN recorded 15 (or 32%); Airtel 13 (or 28%), Glo10 (or 21%), while Etisalat (now 9Mobile) was 9 (or 19%), as against Etisalat (9 Mobile), 9 (or 19%), Glo 4 (or 8%) and Airtel 3 (or 6%) positive reactions by the customers during the period. Study thus recommends that Nigerian newspapers should once in a while carryout a survey on quality of service delivery by GSM operators and use such stories on the front page of their respective newspapers.

Proportion and factors influencing client satisfaction with delivery services in health facilities in the Sissala East Municipality, Ghana: A cross-sectional study.

Client satisfaction is the difference between the healthcare services delivered and the needs of the client. Anecdotal evidence suggests the quality of maternal health and delivery services in Ghana especially in the Upper West Region is appalling. Moreover, there is a paucity of data on clients' satisfaction with maternal and delivery services rendered by healthcare. This study, therefore, assessed clients' satisfaction with delivery services and their associated factors. This analytical cross-sectional study included 431 women who had delivered in the last 7 days from four health facilities within Sissala East Municipality using a multistage and simple random sampling technique. A well-structured questionnaire was used to collect sociodemographic and client satisfaction data. All statistical analyses were done using Statistical Package for Social Sciences Version 26.0 and GraphPad Prism Version 8.0. A p < 0.05 was considered statistically significant. Clients' satisfaction with general delivery services was rated as 80.3% and was significantly associated with process-related factors (p < 0.0001) and structural-related factors (p < 0.0001) of the health facilities. This study found that health facilities' delivery services differed significantly and were associated with clients' satisfaction (p < 0.0001). Moreover, age group (p = 0.0200), occupation (p = 0.0090), kind of delivery (p = 0.0050), and delivery outcome (p < 0.0001) were significantly associated with client satisfaction with delivery services. More than two-thirds of women are satisfied with delivery services within selected health facilities in the Sissala East municipality, although satisfaction within health facilities differs. Furthermore, age group, occupation, kind of delivery, delivery outcome, process, and structural-related factors significantly contribute to client satisfaction with delivery services. To provide more comprehensive coverage of customers' satisfaction with delivery services in the municipality, strategiessuch as free maternal health initiatives and health education on the significance of facility delivery should be reinforced.

Merchant Recommender System Using Credit Card Payment Data

As the size of the domestic credit card market is steadily growing, the marketing method for credit card companies to secure customers is also changing. The process of understanding individual preferences and payment patterns has become an essential element, and it has developed a sophisticated personalized marketing method to properly understand customers’ interests and meet their needs. Based on this, a personalized system that recommends products or stores suitable for customers acts to attract customers more effectively. However, the existing research model implementing the General Framework using the neural network cannot reflect the major domain information of credit card payment data when applied directly to store recommendations. This study intends to propose a model specializing in the recommendation of member stores by reflecting the domain information of credit card payment data. The customers’ gender and age information were added to the learning data. The industry category and region information of the settlement member stores were reconstructed to be learned together with interaction data. A personalized recommendation system was realized by combining historical card payment data with customer and member store information to recommend member stores that are highly likely to be used by customers in the future. This study’s proposed model (NMF_CSI) showed a performance improvement of 3% based on HR@10 and 5% based on NDCG@10, compared to previous models. In addition, customer coverage was expanded so that the recommended model can be applied not only to customers actively using credit cards but also to customers with low usage data.

A hybrid population-based algorithm for solving the fuzzy capacitated maximal covering location problem

In this paper, we study the fuzzy capacitated maximal covering location problem, where a hybrid population-based algorithm is proposed to solve it. An instance of the problem is represented by a set of customers in a given network with their distances and such that the coverage degree of facilities and the distance between customers are fuzzy. Its goal is to open (select) a subset of facilities to be located on customers such that the coverage of customers should be maximized. Two versions of a hybrid population-based algorithm are designed for tackling the aforementioned problem: (i) a modified grey wolf optimizer combined with exploration and exploitation strategies, and (ii) a modified grey wolf optimizer combined with a series of local searches and an upper bound delimiting wolf movements. Each version of the method enhances the quality of the solutions belonging to the current population by adding a series of local searches. Further, the exploration strategy is based upon the drop/rebuild operator for jumping from the current region to unvisited ones. Finally, the behavior of the proposed method is evaluated on a set of benchmark instances of the literature, where its provided results are compared to those reached by more recent methods of the literature and the state-of-the-art Cplex solver. Encouraging results have been obtained.

Carrier collaboration with the simultaneous presence of transferable and non-transferable utilities

This paper deals with a problem in collaborative logistics which arises when a number of carriers, having both transferable and non-transferable utilities, form a coalition. The main application of the problem is last-mile delivery in urban areas. We propose mathematical models to formulate both cases of cooperation and non-cooperation as multi-objective optimization problems in which carriers seek two objectives, including maximizing profit and increasing customer coverage. To allocate the coalition outcomes to participating carriers in the proposed cooperative game, we develop mathematical conditions to define a generalized core solution concept. In addition, we develop a generalized form of the well-known Shapley value ensued by a detailed discussion on the trust issue in these games. Thereafter, two methods of reaching a compromise among coalition members are proposed. Moreover, a heuristic algorithm and a full-enumeration method are developed to find Pareto-optimal solutions for the bi-objective cooperative game. In order to evaluate the efficacy of the proposed models and algorithms, a set of benchmark instances having up to 225 customers are devised. Computational results indicate that cooperation can lead to profit improvement ranging from 9.07% in small-size instances to 14.7% in large-size instances on average, without worsening the customer coverage.

Development and Transformation of Inclusive Finance in my Country's Commercial Banks

Different degrees of financial exclusion will exist in the process of financial development. Vulnerable groups such as low-income groups are often excluded from formal financial services and cannot obtain normal financial services. The concept of inclusive finance is based on such a reality. The realization of financial inclusion aims to enable economic entities at different levels of society to obtain the necessary and reasonable financial services and financial support. As the main body of my country's financial institution system, commercial banks are not only providers of inclusive financial services, but also play the role of leaders in inclusive financial innovation. Therefore, it is necessary to strengthen the capacity building of commercial banks' inclusive financial services and improve their inclusive financial services. The quality and efficiency of financial inclusion are related to the development level and sustainability of inclusive finance in the whole society. At present, my country's commercial banks are actively exploring and practicing digital transformation. Through the empowerment of financial technologies such as big data and artificial intelligence, they have developed inclusive financial services and product models to solve the problems of difficult and expensive financing for the private economy. This paper first introduces the dilemma of developing inclusive finance under the traditional model of commercial banks, mainly including information asymmetry, low level of management refinement, and insufficient customer coverage. The use of digitization can solve many problems in traditional models; finally, the article proposes inclusive finance for my country's commercial banks from the aspects of accelerating data application transformation, enriching customer acquisition scenarios, promoting digital process transformation, innovating risk control technology, and cultivating digital transformation professionals. Policy recommendations for digital transformation development.

Some approaches to increasing the turnover of a small commercial enterprise

The article highlights the measures aimed at increasing the turnover of a commercial enterprise. The whole set of measures that contribute to the increase in the turnover of a trading enterprise can be combined into two groups: internal and external. Internal events are aimed at increasing the conversion of sales and the average check, while external ones are aimed at increasing customer flow. Tools for internal measures to increase turnover include, firstly, measures aimed at improving the efficiency of retail processes, improving the technology of commodity display and sales of goods, and, secondly, tools for rationalizing the use of the existing material and technical base and increasing inventory turnover. As part of external events, an increase in client flow can be ensured through active marketing and promotional activities of the organization. The purpose of these events is to activate the already existing customer coverage area, as well as its expansion by attracting potential buyers from more remote areas.

Maximal Marginal Relevance-Based Recommendation for Product Customisation

ABSTRACT Customised product design is attracting increasing attention. However, consumers can be overwhelmed by the variety of products. To confront this challenge, this paper presents a two-step recommendation approach for customised products. First, an adaptive specification process captures customer requirements in an accelerated manner by presenting the most informative attribute for a customer to specify. Then, a maximal marginal relevance-based recommendation set is presented, based on the customer’s partial specifications. This process ensures broad coverage of customers’ needs by considering not only the relevance of each product to their requirements but also redundancy in the recommendation set.

Kepuasan Nasabah BPR Ditinjau Dari Kualitas Pelayanan Dan Citra Bank

Customer satisfaction is the extent to which a product’s perceived pervormance matches a buyer’s expectations. If the product’s performance falls short of expectations the customers is dissatisfied. If performance matches expectations, the customers is satisfied. This study aims to determine the effect of service quality and corporate image on customer satisfaction. This study uses quantitative methods. The population in this study amounted to 3,209 customers of PT BPR SumberdhanaAnda Rejotangan branch. The number of samples was calculated using the slovin formula with the results of 97 respondents. The sampling technique used in this study is proportional random sampling, and the type of sampling used is simple random sampling. This study using analysis descriptive statistical analysis, classical assumption tests and multiple linear regression analysis techniques. The study results found a partial effect of service quality on customer coverage and company image on customer satisfaction. Moreover, there is a simultaneous influence of service quality and corporate image on customer satisfaction.

Optimized Placement of Voltage Sag Monitors Considering Distributed Generation Dominated Grids and Customer Demands

Voltage sag causes serious economic losses to sensitive customers. However, the existing optimal placement methods of sag monitors ignore the economic needs of customers. The optimal placement model of voltage sag monitor is proposed in this paper, which considers the sag economic loss weight, realizes the redundant coverage of important customers, and reduces the risk of sag loss of them. The model is also suitable for the system with a large number of DG access. Firstly, the calculation model of exposed area based on Chebyshev iterative method is established to obtain the system exposed area quickly, and the influence of DG replacing traditional generator on exposed area and economic loss is analyzed qualitatively. Then, the economic loss is quantitatively evaluated based on the exposed area. What’s more, the priority of important customers is determined accordingly, and the optimal placement model of sag monitor is proposed. Finally, simulation results show that in large-scale DG access, the customer’s economic loss caused by sag will increase. Compared with traditional methods, this method can reduce the risk of loss and ensure the economic benefits of important customers.

A multi-objective model for optimizing the socio-economic performance of a pharmaceutical supply chain

Potential production policies and distribution strategies for pharmaceutical products have attracted significant attention to sustainable development. End-of-life products have a severe impact on the ecological system. Thus, this paper has developed sustainable objectives in the pharmaceutical supply chain optimization framework with different constraints under uncertainty. The trade-off between socio-economic and environmental objectives is identified by ensuring the optimal allocation of different products among various echelons. Furthermore, three different solution approaches have suggested solving the proposed model. The Techniques for Order Preference by Similarity to Ideal Solution (TOPSIS) ranking method is used to rank the different solution sets. Apart from TOPSIS, multiple criteria such as baseline design, co-efficient of variance, and degree of desirability have been depicted to select the best compromise solution set. Finally, an industrial case study of a pharmaceutical company is presented to validate and demonstrate the modeling and optimization approach. The outcomes facilitate wholesome decision-making policies with the achievement of sustainable objectives and provide opportunities to further align business practices with social needs and expectations, which then promote long-term market value—recognizing the need for inter-dependence and cooperation results in a reduction in total economic costs and improvements in customers’ services, and less impact on the environment. Furthermore, by increasing customer coverage distance, the firm earns customer loyalty, which results in repurchasing behaviors. Similarly, customer satisfaction is a vital social factor concerning the TBL objectives and significantly impacts sustainable PSC planning. The in-depth managerial insights are also addressed based on the presented work. After reviewing the literature, this is the first attempt to analyze the socio-economic performance of the pharmaceutical supply chain considering uncertain parameters.

The location-or-routing problem

We introduce the location-or-routing problem (LoRP), which integrates the facility location and the vehicle routing problems by uncovering a new connection from the customer coverage perspective. In the LoRP, open facilities cover the customers in their neighborhood and the uncovered customers are transported to open facilities by capacitated vehicles. Each facility has a maximum coverage range and each vehicle route is constrained by a maximum length. In this setting, a customer can be covered either by ‘location’ or by ‘routing’, hence the problem name. We discuss several application areas of LoRP and present its relation to the location and routing problems. We develop a set covering model and a branch-and-price algorithm as an exact solution methodology. The results show that the facility coverage range is an important determinant of the number and location of open facilities. We find that the vehicle routes play a decreasing role on the total cost as facility range increases. Furthermore, trade-off analyses on random graphs show that the total cost decreases almost linearly by increasing facility coverage range. We investigate the reasons behind this observation using arguments from asymptotic analysis and find that it is a common property when the customers are uniformly distributed.

Evaluasi Sistem Distribusi Air Bersih Zona Rumah Pompa Pradah Kota Surabaya

Pradah Pump House functioned as a clean water distribution lane in one of Surabaya City zones, which goes towards customers directly. This study aims to figure out the existing condition and developing condition of Pradah Pump House’s clean water distribution in terms of water availability, hydraulics, water quality, and fire extinguishing wells condition. Simulation method by using WaterCADv8i software. In the existing condition, the aspect of water availability had a deficit of 282 l/s, pressure condition in 100% peak hour became insufficient, velocity condition of 49.45% did not meet the criteria, headloss gradient of 13% became insufficient, and the water quality condition in the furthest did not meet the requirement. In developing conditions, the study continues with adding one pump and 31 parallel pipes simulated in WaterCADv8i software with three conditions, i.e., reducing customer water supplies standards, doing a rotation of water distribution, and reducing customer coverage area. These simulations show that the average pressure score is 0.5-10 atm, velocity 0.3-6 m/s, headloss gradient 0-15 m/km, and the fire extinguishing wells’ simulation indicates that the average results of the well did not replenish at 12:00-16:00.

A multi-verse optimizer algorithm for ambulance repositioning in emergency medical service systems

In an emergency medical system, customer coverage is directly affected by how ambulances are allocated to customers and how they should be returned to stations. The purpose of this paper is to obtain the best return strategy for ambulances to maximize the expected coverage concerning a predefined dispatch policy. A hypercube queuing model is presented to maximize customers' coverage probability, in which locations of busy ambulances in each state are not known and approximated based on customer arrival rates. In the proposed repositioning model, only newly-available ambulances are moved to the free stations according to the predetermined return strategy. Some small- and medium-scale instances are solved exactly using the Gaussian elimination method. Multi-Verse Optimizer and Genetic algorithms are used in combination with the discrete-event simulation for solving large-sized problems. Moreover, real data from a case study are utilized to verify the performance of the proposed models.

Asignación de surtido, mercado paralelo y enforcement en la cadena de suministro de artículos de gran consumo: Un análisis empírico

El propósito del artículo es el análisis de la estrategia dentro de la cadena de suministro de artículos de gran consumo. El diseño del canal de distribución es una situación crítica donde se confronta la estrategia con el comportamiento de los agentes. Se observa que la alternativa del distribuidor en caso de disconformidad con el surtido asignado es el recurso al mercado paralelo. El análisis conduce al estudio del efecto de la disciplina del fabricante sobre el canal para hacer cumplir la estrategia de distribución oficial. Las conclusiones son expuestas a partir de resultados obtenidos en un análisis empírico.

The design of a resilient and sustainable maximal covering closed-loop supply chain network under hybrid uncertainties: a case study in tire industry

This paper aims at designing a sustainable and resilient tire closed-loop supply chain network based on a real case study in Iran. To immune the network against disruptions, a new resiliency approach is proposed by extending efficient demand coverage plans. The developed model includes four objectives. The first objective minimizes the total costs of the network along with maximizing the coverage of customers’ demand. As a new concept, the second objective maximizes the operational reliability of facilities to extend a consistent and responsive tire supply chain. Also, to design a sustainable network, the third objective function minimizes CO2 emissions in the strategic and tactical planning horizons. Moreover, the fourth objective maximizes the social responsibility of the network via introducing new social factors. A new mixed fuzzy possibilistic flexible programming method is also proposed to handle constraints’ violations and parameters’ uncertainty. Outputs confirm the accurate performance of the extended model and ensure its applicability in the real-world case study.