Optimizing Employee Scheduling System with Firefly Algorithm (Case Study: MJ Store)

2020 ◽  
Author(s):  
Risna Sari ◽  
Retno Widianti
Keyword(s):  
Firefly Algorithm ◽  
Scheduling System ◽  
Employee Scheduling

Design and Validation of a Simulation-Based Modular Planning and Scheduling System of Semiconductor Fabrication Facilities

2011 ◽  
Vol 48-49 ◽  
pp. 378-381
Author(s):  
Li Li ◽  
Fei Qiao
Keyword(s):  
Simulation Modeling ◽  
General Structure ◽  
Structure Model ◽  
Planning And Scheduling ◽  
Scheduling System ◽  
Information Layer ◽  
Simulation Based ◽  
Semiconductor Fabrication ◽  
Control Modules

A simulation-based modular planning and scheduling system developed for semiconductor fabrication facilities (SFFs) is discussed. Firstly, the general structure model (GSM) for SFFs, composed of a configurable definition layer, a physical layer, a process information layer and a planning and scheduling layer, is proposed. Secondly, a data-based dynamic simulation modeling method is given. Thirdly, a simulation-based modular planning and scheduling system (SMPSS) for SFFs, including model modules, release control modules, scheduling modules and rescheduling modules, is designed and developed. Finally, a case study is used to demonstrate the effectiveness of

scholarly journals Optimasi Sistem Penjadwalan Dengan Implementasi Algoritma Welch Powell Pada Sistem Penjadwalan Customer Service Di Gerai Indosat Ooredoo Cabang Kuta

2020 ◽  
Vol 2 (1) ◽  
pp. 79-85
Author(s):  
L.Virginayoga Hignasari
Keyword(s):  
Customer Service ◽  
System Optimization ◽  
Study Data ◽  
Scheduling System ◽  
Service Scheduling ◽  
Customer Services ◽  
Selling Teams ◽  
Graph Form ◽  
Case Study Data

The purpose of this research was to solve the problems related to the optimization of the customer service scheduling system in Indosat Ooredoo Office Kuta Branch by implementing the concept of graph coloring, namely the application of the Welch Powell algorithm. This research was a case study. Data obtained from observations and interviews. The data analyzed is a pre-existing customer service scheduling system. The scheduling system obtained will be analyzed further by using Welch Powell's algorithm to solve problems related to the formation of mobile selling teams and its schedule. Before being analyzed using the Welch Powell algorithm, the scheduling system is represented in graph form. There was a Welch Powell algorithm that is 1) Sort the vertices of G in decreasing degrees; 2) Use one color to color the first node (which has the highest degree) and other vertices that do not match the first node; 3) Start again with the next highest degree node in the ordered list that has not been colored and repeat the process of node transfer using the second color. Based on the results of the analysis, the number of existing customer services can be formed into three teams with alternating mobile selling schedules in one week. This is more efficient than the previous scheduling system that determined the mobile selling team based on the employee's work shift. Based on this, the implementation of the Welch Powell algorithm can solve the problem of scheduling system optimization in the Indosat Ooredoo Customer Service Division of the Kuta Branch theoretically.

A New Fuzzy Firefly Algorithm with Adaptive Parameters

2017 ◽  
Vol 16 (03) ◽  
pp. 1750017 ◽  
Author(s):  
Tahereh Hassanzadeh ◽  
Mohammad Reza Meybodi ◽  
Masoumeh Shahramirad
Keyword(s):  
Firefly Algorithm ◽  
Optimization Problems ◽  
Function Optimization ◽  
Local Searches ◽  
Adaptive Parameters ◽  
Otsu Method ◽  
Method Evidence ◽  
Global Optima ◽  
Global And Local

Firefly algorithm is a swarm based algorithm that can be used for solving optimization problems. This paper proposed an improved fuzzy adaptive firefly algorithm (FAFA). In the proposed FAFA, a fuzzy system is used to adapt Firefly Algorithm’s parameters in order to improve its ability in global and local searches. Also, we used different fireflies initializing intervals and different iteration numbers to show the algorithm capability to find global optima. Results focus on the two case study categories of function optimization (seven benchmark functions) and presented a novel optimal multilevel thresholding approach for histogram-based image segmentation by using proposed FAFA and Otsu method. Evidence indicates that the optimization results of proposed FAFA approach are so better than the standard FA.

Shared Governance and the Delivery of Labor Resources in a 24/7/365 World

2012 ◽  
Vol 18 (4) ◽  
pp. 168-174
Author(s):  
ChrysMarie Suby
Keyword(s):  
Resource Management ◽  
Best Practices ◽  
Shared Governance ◽  
Employee Scheduling ◽  
Labor Resources

This article explores how shared governance and unit-based scheduling/staffing/resource management (SSRM) committees can impact the delivery of labor resources 24/7/365 through knowledgeable workforce budgeting and employee scheduling and daily staffing best practices. Two case study examples are included.

Conveyor scheduling system for a feeds manufacturing plant: a case study

1991 ◽  
Vol 25 (1-3) ◽  
pp. 89-94 ◽  
Author(s):  
Elise A. del Rosario ◽  
Samuel B. Cruz ◽  
Anna Liza C. Gimalay
Keyword(s):  
Manufacturing Plant ◽  
Scheduling System
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