Modern Hypermarket Receiving Yard Utilization: The Implementation of a Simulation Model

2017 ◽  
Vol 2 (4) ◽  
pp. 33-39
Author(s):  
Mohammad Annas
Keyword(s):  
Simulation Model ◽  
Exponential Distribution ◽  
Poisson Distribution ◽  
Waiting Time ◽  
Arrival Rate ◽  
Jel Classification ◽  
Utilization Rate ◽  
Processing Times ◽  
Kolmogorov Smirnov ◽  
Using Data

Objective - This research is a direct observation of initial queuing, using data that is categorised into two clusters: the number of people queuing at busy hours, and processing times in the same circumstances. Methodology/Technique - The raw data was converted for use in the Poisson distribution test, as well as the Kolmogorov-Smirnov exponential distribution options. An arena simulation model was also applied to identify the vendor's waiting time and to analyse receiving yard utilization. The average waiting time according to the Poisson distribution, the average serving time per vendor by an exponential distribution, and the number of receiving yards, are all essential factors effecting the utilization of receiving yards. Findings - The study compares the length of queues, serving times, arrival rate, and time in the system using dual and single receiving yard systems. However, the utilization rate on a two receiving yards system is less than the rate on single receiving yard system. As the aim of this study is to identify the utilization rate of the receiving yard, a single receiving yard operation is more representative of modern hypermarkets, and more efficient in terms of resource efficiency. Novelty - This study depends fully on the homogeneous operating hours of the retailers' receiving yards, the type of vehicle used by vendors to unload merchandises, procedures on moving the products to the inspections phase, a generalization of the products delivered by the vendors and the size of the modern hypermarkets business itself. Type of Paper: Empirical. Keywords: Receiving Yard Utilization; Hypermarket Receiving Yard; Queuing Simulation. JEL Classification: M1, M10, M19.

The Study on Production Performances of Part Transporter in Flexible Manufacturing System by Using Simulation Method

2012 ◽  
Vol 576 ◽  
pp. 714-717
Author(s):  
Mohammad Iqbal ◽  
Muhammad Ridwan Andi Purnomo ◽  
Muhammad Ammar Bin Mohd Imra ◽  
Mohamed Konneh ◽  
A.N. Mustafizul Karim
Keyword(s):  
Waiting Time ◽  
Flexible Manufacturing ◽  
Material Handling ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Arrival Rate ◽  
Simulation Method ◽  
Simulation Software ◽  
Average Waiting Time ◽  
Processing Times

Material handling is one of major components in Flexible Manufacturing System (FMS). Any improvement of material handling capability is to affect the performance of the whole system. This paper discusses the simulation study on the effect of part arrival rate and dispatching rules to the average waiting time and production rate of the FMS. The facilities of the system were modeled into simulation environment by using Arena Simulation Software. The production parameters such as machine processing times, part transportation speed and type of products were put into the model to represent the behaviors of the real system. Two rules have been considered in the study, i. e. first come first served (FCFS), and shortest processing time (SPT). Average waiting time and productivity were taken into account as performance measures of the system. The result of the study showed that SPT rule gives shorter average waiting time and higher productivity. Based on this result, the SPT rules would be used to control part transporter in order to have a better performance of the FMS.

scholarly journals A Study of Service in Restaurant by Using Queuing Model

2013 ◽  
Vol 5 ◽  
pp. 14-18
Author(s):  
G.D. Mishra ◽  
Vijiya Singh Chauhan ◽  
Nikita Chandra
Keyword(s):  
Numerical Model ◽  
Waiting Time ◽  
Queuing Theory ◽  
Arrival Rate ◽  
Utilization Rate ◽  
Service Rate ◽  
Case Scenario ◽  
Queuing Model ◽  
Restaurant Management ◽  
Potential Customers

The restaurants want to avoid losing their customers due to a long wait on the line. This shows a need of a numerical model for the restaurant management to understand the situation better. This paper aims to show that queuing theory satisfies the model when tested with a real-case scenario. We obtained the data from a restaurant. We then derive the arrival rate, service rate, utilization rate, waiting time in queue and the probability of potential customers to balk based on the data using Little’s Theorem and M/M/1 queuing model. We conclude the paper by discussing the benefits of performing queuing analysis to a busy restaurant.

scholarly journals Simulation of queue with cyclic service in signalized intersection system

2015 ◽  
Vol 1 (1) ◽  
pp. 30
Author(s):  
Muhammad Dermawan Mulyodiputro ◽  
Subanar Subanar
Keyword(s):  
Exponential Distribution ◽  
Waiting Time ◽  
Arrival Rate ◽  
Signalized Intersection ◽  
Signal Duration ◽  
Cyclic Service ◽  
Service Policy ◽  
And Performance ◽  
Service Policies ◽  
Intersection System

The simulation was implemented by modeling the queue with cyclic service in the signalized intersection system. The service policies used in this study were exhaustive and gated, the model was the M/M/1 queue, the arrival rate used was Poisson distribution and the services rate used was Exponential distribution. In the gated service policy, the server served only vehicles that came before the green signal appears at an intersection. Considered that there were 2 types of exhaustive policy in the signalized intersection system, namely normal exhaustive (vehicles only served during the green signal was still active), and exhaustive (there was the green signal duration addition at the intersection, when the green signal duration at an intersection finished). The results of this queueing simulation program were to obtain characteristics and performance of the system, i.e. average number of vehicles and waiting time of vehicles in the intersection and in the system, as well as system utilities. Then from these values, it would be known which of the cyclic service policies (normal exhaustive, exhaustive and gated) was the most suitable when applied to a signalized intersection system

scholarly journals Application of queuing theory to a fast food outfit: a study of blue meadows restaurant

2017 ◽  
Vol 8 (2) ◽  
pp. 441 ◽  
Author(s):  
Seigha Gumus ◽  
Gordon Monday Bubou ◽  
Mobolaji Humphrey Oladeinde
Keyword(s):  
Waiting Time ◽  
Fast Food ◽  
Queuing Theory ◽  
Goodness Of Fit ◽  
Arrival Rate ◽  
Time Frame ◽  
Utilization Rate ◽  
Service Rate ◽  
Operating Characteristics ◽  
Number Of Customers

The study evaluated the queuing system in Blue Meadows restaurant with a view to determining its operating characteristics and to improve customers’ satisfaction during waiting time using the lens of queuing theory. Data was obtained from a fast food restaurant in the University of Benin. The data collected was tested to show if it follows a Poisson and exponential distribution of arrival and service rate using chi square goodness of fit. A 95% confidence interval level was used to show the range of customers that come into the system at an hour time frame and the range of customers served at an hour time frame. Using the M/M/s model, the arrival rate, service rate, utilization rate, waiting time in the queue and the probability of customers likely balking from the restaurant was derived. The arrival rate (λ) at Blue Meadows restaurant was about 40 customers per hour, while the service rate was about 22 customers per hour per server. The number of servers present in the system was two. The average number of customers in the system in an hour window was 40 customers with a utilization rate of 0.909. The paper concludes with a discussion on the benefits of performing queuing analysis to a restaurant.

Access to Credit, Farm Productivity and Market Participation in Ghana: A Conditional Mixed Process Approach

2020 ◽  
Vol 14 (2) ◽  
pp. 226-246 ◽  
Author(s):  
Hamdiyah Alhassan ◽  
Benjamin Musah Abu ◽  
Paul Kwame Nkegbe
Keyword(s):  
Jel Classification ◽  
Transmission Mechanism ◽  
Living Standards ◽  
Market Participation ◽  
Multiple Cropping ◽  
Commercial Agriculture ◽  
Access To Credit ◽  
Farm Productivity ◽  
Modelling Framework ◽  
Using Data

This study tests the hypothesis of whether credit impacts productivity, and whether productivity in turn impacts market participation under a simultaneous modelling framework of credit, productivity and market participation, which has not been pursued in the literature. Using data from the Ghana Living Standards Survey Round 6, we applied a conditional mixed process estimation technique to correct for selectivity bias and unobserved endogeneity. We find that credit positively impacts productivity, which in turn positively impacts market participation. Furthermore, other determinants such as roads, public transport, radio and phone, and compliance with extension advice positively influence productivity while availability of markets and multiple cropping in a season increase the decision to sell maize. These findings imply that the transmission mechanism to transform the subsistence nature of Ghanaian agriculture into a sector characterized by commercial agriculture is to enhance access to credit, which in turn would stimulate productivity, which in turn would enhance market engagement. JEL Classification: Q12, Q13, Q14

scholarly journals Optimising pasture and grazing management decisions on the Cicerone Project farmlets over variable time horizons

2013 ◽  
Vol 53 (8) ◽  
pp. 796 ◽  
Author(s):  
Karl Behrendt ◽  
Oscar Cacho ◽  
James M. Scott ◽  
Randall Jones
Keyword(s):  
Simulation Model ◽  
Strategic Decision ◽  
Stochastic Dynamic ◽  
Economic Returns ◽  
Strategic Decisions ◽  
Trade Offs ◽  
Using Data ◽  
Time Frames ◽  
The Impact ◽  
Stocking Rates

This study addresses the problem of balancing the trade-offs between the need for animal production, profit, and the goal of achieving persistence of desirable species within grazing systems. The bioeconomic framework applied in this study takes into account the impact of climate risk and the management of pastures and grazing rules on the botanical composition of the pasture resource, a factor that impacts on livestock production and economic returns over time. The framework establishes the links between inputs, the state of the pasture resource and outputs, to identify optimal pasture development strategies. The analysis is based on the application of a dynamic pasture resource development simulation model within a seasonal stochastic dynamic programming framework. This enables the derivation of optimum decisions within complex grazing enterprises, over both short-term tactical (such as grazing rest) and long-term strategic (such as pasture renovation) time frames and under climatic uncertainty. The simulation model is parameterised using data and systems from the Cicerone Project farmlet experiment. Results indicate that the strategic decision of pasture renovation should only be considered when pastures are in a severely degraded state, whereas the tactical use of grazing rest or low stocking rates should be considered as the most profitable means of maintaining adequate proportions of desirable species within a pasture sward. The optimal stocking rates identified reflected a pattern which may best be described as a seasonal saving and consumption cycle. The optimal tactical and strategic decisions at different pasture states, based on biomass and species composition, varies both between seasons and in response to the imposed soil fertility regime. Implications of these findings at the whole-farm level are discussed in the context of the Cicerone Project farmlets.

First-Attempt Success Rate of Ultrasound-Guided Peripheral IV Access using a Handheld Ultrasound Machine in a Simulation Model

2021 ◽  
Vol 104 (Suppl. 1) ◽  
pp. S30-S34
Keyword(s):  
Simulation Model ◽  
Success Rate ◽  
Training Session ◽  
Confidence Score ◽  
Ultrasound Guided ◽  
Emergency Nurses ◽  
Handheld Ultrasound ◽  
Kolmogorov Smirnov ◽  
Application Data ◽  
Time Required

Background: Although peripheral Intravenous (IV) cannulation is a routine procedure performed by nurses, IV access can be difficult to achieve, particularly in emergency patients who have critical illnesses. Ultrasound is used in this procedure to increase the success rate in novice practitioners. Objective: We aimed to determine the first-attempt success rate of ultrasound-guided peripheral IV (USGPIV) performed by emergency nurses in simulation model after having undergone training in the procedure. Materials and Methods: This was prospective descriptive study. The participants consisted of 61 emergency nurses at Srinagarind Hospital Emergency Department from January to April 2020. USGPIV cannulation training was provided by an emergency physician who is also a specialist in emergency ultrasound. After training, we calculated the number of attempts and time required to successfully complete USGPIV in a simulation model. Following this, participants responded to a questionnaire to evaluate their confidence in performing the procedure, as well as its feasibility and practical application. Data were analyzed using a Kolmogorov-Smirnov test, and p<0.05 was considered to be significant. Results: Sixty-one emergency nurses were included. The first-attempt success rate of USGPIV was 85.25% (95% CI 0.761, 0.944), and the mean time required was 47.33+4.89 sec. (95% CI 37.547, 57.103). Fifty-nine participants (96.72%) completed the questionnaire. All items had a mean score of greater than 3 points, with confidence score being the highest. Conclusion: Emergency nurses with no previous experience with USGPIV were able to perform a simulated version of the procedure with a high first-attempt success rate after a short training session. Further studies should be conducted to evaluate nurses’ USGPIV competency in real patients. Keywords: Ultrasound, Peripheral IV cannulation, Emergency medicine, Emergency nurse

Estimating waiting and idle times for special queuing situations of tree harvesting machines

1981 ◽  
Vol 11 (1) ◽  
pp. 99-104 ◽  
Author(s):  
C. H. Meng
Keyword(s):  
Waiting Time ◽  
Historical Data ◽  
Idle Time ◽  
Processing Times ◽  
Mean Waiting Time ◽  
Analytical Formulae ◽  
Input Time ◽  
Time Required ◽  
Tree Harvesting ◽  
Normally Distributed

The purpose of this study is to develop analytical formulae for special queuing situations which occur during the operations of the felling and processing devices of a tree harvester, and the pickup and processing devices of a tree processor. Analytical formulae are used to estimate mean waiting time and mean idle time; in case 1 both "input" times and processing times are normally distributed; in case 2 "input" times are normally distributed and processing times are Poisson distributed. "Input" time is a term used for convenience to denote time required to fell a tree by a harvester or time required to pick up a tree by a processor. Methods of choosing distributions for representing "input" times and processing times are provided. In addition, there are two examples, using historical data, which demonstrate the applications of the analytical formulae.

scholarly journals Patient Flow Simulation Using Historically Informed Synthetic Data

2021 ◽  
Author(s):  
Ezra Kenny ◽  
Hamed Hassanzadeh ◽  
Sankalp Khanna ◽  
Justin Boyle ◽  
Sandra Louise
Keyword(s):  
Emergency Department ◽  
Simulation Model ◽  
Patient Flow ◽  
Discrete Event ◽  
Synthetic Data ◽  
Flow Simulation ◽  
Average Patient ◽  
Future Demands ◽  
Healthcare Administrators ◽  
Using Data

Hospital overcrowding is a major problem for healthcare systems around the globe. In order to better estimate future demands and adequate resources for coping with such demands, statistical and computerised modelling can be applied. This can then allow healthcare administrators and decision makers to quantify the impacts of various “what-if” scenarios on hospital performance measures. This paper investigates the application of Discrete Event Simulation towards optimising Emergency Department resources while measuring overall length of stay and queuing time of emergency patients as a target performance measure. In particular, we explore strategies for generating historically informed synthetic data that helps the simulation model track patient flow through the target hospital over a future time frame. Using the developed simulation model, several resource configurations are tested using data from one of the busiest emergency departments in the state of Queensland as the baseline while quantifying the impacts of such changes on key patient flow metrics. It was found that adding a single bed (and associated resources) to the emergency department would result in a 23% decrease in average patient treatment delay.

scholarly journals ACCOUNTING OF WAGES WITH THE USE OF BIOMETRICS TO ENSURE CYBERSECURITY OF ENTERPRISES

2021 ◽  
Vol 3 (38) ◽  
pp. 162-172
Author(s):  
Z.-M. Zadorozhnyy ◽  
V. Muravskyi ◽  
S. Yatsyshyn ◽  
O. Shevchuk
Keyword(s):  
Cyber Security ◽  
Jel Classification ◽  
Working Time ◽  
Biometric Authentication ◽  
Biometric Technology ◽  
Job Functions ◽  
Authentication System ◽  
And Performance ◽  
Using Data ◽  
And Control

Abstract. Modern conditions of growing cyber threats caused by the hybrid conflicts around the world and looming biological threat of the COVID-19 pandemic necessitate the introduction of biometric authentication of employees, leading to the transformation in the methodology and organization of accounting at enterprises. The procedure for accounting and control of time worked and wages of the employees is the first to undergo changes due to the forcibly limited access of employees to the enterprise data and premises, which determines the topicality and aims of this research. The aim of the article is to investigate the prospects for monitoring the working time and movement of employees on the premises (facilities) of the enterprise with the use of biometric technology in order to develop the methodology of automation of the accounting of payments made to employees and to ensure the cybersecurity of economic entities. The prospects of using an automated employee checkpoint system based on biometrics for the purposes of accounting and control are explored. The paper improves the methodology of accounting and control over the working time and wages of employees based on the automated employee authentication system using data on the time spent on premises and performance of job functions. Recommendations are made on ensuring biological and cyber security of enterprises in terms of categorizing the enterprise premises and equipment according to their functions and level of access to information and material flows. The research examines the prospects of accounting for the employee costs, as well as accurate distribution of overhead and other costs based on data of the biometric employee authentication system. It is advised to conduct further research into the peculiarities of methodology and organization of accounting under conditions of distance and isolated job performance by accounting employees, as it raises the requirements to cybersecurity of enterprises. Keywords: accounting, working time, wages (salary), biometrics, employee authentication, automation of accounting and control, cybersecurity, COVID-19. JEL Classification M41, M49 Formulas: 0; fig.: 2; tabl.: 1; bibl.: 18.

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