scholarly journals In-Plant Logistics Simulation Model for the Catering Service Industry Towards Sustainable Development: A Case Study

2019 ◽  
Vol 11 (13) ◽  
pp. 3655 ◽  
Author(s):  
Carman K.M. Lee ◽  
Shuzhu Zhang ◽  
Kam K.H. Ng
Keyword(s):  
Simulation Model ◽  
Labor Force ◽  
Service Industry ◽  
Discrete Event ◽  
Labor Cost ◽  
Utilization Rate ◽  
Event Simulation ◽  
Washing Process ◽  
One Stop

An increasing number of people are conscious of the environmental awareness in various industries, particularly in city areas. It is now a popular trend for the urban catering service industry to outsource its labor-intensive activities, such as dishwashing, to a central dishwashing facility, in which labor force management and optimization are essential. Moreover, the increasing labor cost and fluctuating labor supply drive the increasing need for labor force optimization. This research develops an in-plant logistics simulation model for a central dishwashing facility with the purpose of improving its labor force utilization rate. A discrete event simulation model is established to simulate the tableware washing process, and this model is employed in a one-stop environmentally hygienic dishwashing service provider for trial implementation. The simulation result has been compared with actual situations, identifies the main bottlenecks of the tableware washing process, optimizes the utilization rate of the labor force, and further helps to improve the productivity.

scholarly journals Simulation Modeling and Analysis of a Door Industry

2021 ◽  
Vol 12 (1) ◽  
pp. 43-57
Author(s):  
Konstantinos Chronis ◽  
Alexandros Xanthopoulos ◽  
Dimitrios E. Koulouriotis
Keyword(s):  
Simulation Model ◽  
Performance Metrics ◽  
Discrete Event ◽  
Labor Cost ◽  
Total Production ◽  
Labor Costs ◽  
Daily Production ◽  
Modeling And Analysis ◽  
Event Simulation ◽  
Planning Decision

Ιn this paper, the authors study the production line of a door industry. The first stage of this research consists of the detailed documentation with flow charts and systematization of all production processes, all product types, as well as all stages of production and equipment. The standard production times were calculated for each workstation, together with the relevant workforce requirements. In the second stage of this research, a discrete event simulation model of the factory was developed to assist in the production planning decision-making. The simulation model was verified using actual production data relating to 19 customer orders for a total of 1,281 doors. Four simulation experiments were executed, where the effect of alternative shifts on the manufacturing line's efficiency was investigated. The performance metrics of total production, mean daily production, and mean labor cost per product were considered. This experimental trial resulted in the identification of the shift configuration that achieves increased productivity while maintaining relatively low labor costs.

scholarly journals Integrating Simulation-Based Optimization for Lean Logistics: A Case Study

2018 ◽  
Vol 8 (12) ◽  
pp. 2448 ◽  
Author(s):  
Jorge González-Reséndiz ◽  
Karina Cecilia Arredondo-Soto ◽  
Arturo Realyvásquez-Vargas ◽  
Humberto Híjar-Rivera ◽  
Teresa Carrillo-Gutiérrez
Keyword(s):  
Simulation Model ◽  
Information And Communication Technologies ◽  
Discrete Event ◽  
Real Life ◽  
Inventory Level ◽  
Event Simulation ◽  
Lean Logistics ◽  
Information And Communication ◽  
Logistics Process

The present work aims at the comprehensive application of stochastic and optimization tools with the support of Information and Communication Technologies (ICT) through a case study in a logistics process for electronic goods; simulation and Response Surface Methodology (RSM) are applied for this purpose. The problem to be evaluated is to define an optimal distribution cost for products shipped to wholesale customers located in different cities in Mexico from a manufacturing plant in Tijuana, Mexico. The factors under study are the product allocation for each distribution center, finished good inventory level and on time deliveries, which are supposed to be significant to get the objective. The methodology applied for this problem considers the design of a discrete event simulation model to represent virtually the real life of logistics process, which is considered a complex system due to different activities are interrelated to carry it out. This model is used to execute the different experiments proposed by the RSM. The results obtained from simulation model were analyzed with the RSM to define the mathematical model that allows identifying the parameters of the factors in order to optimize the process. The findings prove how the ICT facilitate the application of stochastic tools with the purpose of process optimization.

scholarly journals Integrating Simulation-Based Optimization for Lean Logistics: A Case Study

2018 ◽  
Author(s):  
Jorge Gonzalez-Resendiz ◽  
Karina Cecilia Arredondo-Soto ◽  
Arturo Realyvásquez-Vargas ◽  
Humberto Hijar-Rivera ◽  
Teresa Carrillo-Gutiérrez
Keyword(s):  
Simulation Model ◽  
Information And Communication Technologies ◽  
Discrete Event ◽  
Real Life ◽  
Inventory Level ◽  
Event Simulation ◽  
Lean Logistics ◽  
Information And Communication ◽  
Logistics Process

The present work aims at the comprehensive application of stochastic and optimization tools with the support of Information and Communication Technologies (ICT) through a case study in a logistics process for electronic goods; simulation and Response Surface Methodology (RSM) are applied for this purpose. The problem to be evaluated is to define an optimal distribution cost for products shipped to wholesale customers located in different cities in Mexico from a manufacturing plant in Tijuana, Mexico. The factors under study are the product allocation for each distribution center, finished good inventory level and on time deliveries, which are supposed to be significant to get the objective. The methodology applied for this problem considers the design of a discrete event simulation model to represent virtually the real life of logistics process, which is considered a complex system due to different activities are interrelated to carry it out. This model is used to execute the different experiments proposed by the RSM. The results obtained from simulation model were analyzed with the RSM to define the mathematical model that allows identifying the parameters of the factors in order to optimize the process. The findings prove how the ICT facilitate the application of stochastic tools with the purpose of process optimization.

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