A fast procedure for computing the total system cost of an appointment schedule for medical and kindred facilities

2000 ◽  
Vol 32 (9) ◽  
pp. 833-839 ◽  
Author(s):  
HON-SHIANG LAU ◽  
AMY HING-LING LAU
Keyword(s):  
Total System ◽  
System Cost ◽  
Appointment Schedule ◽  
Fast Procedure

Establishing simulation model for optimizing efficiency of CNC machine using reliability-centered maintenance approach

2019 ◽  
Vol 10 (06) ◽  
pp. 1950034 ◽  
Author(s):  
Zahid Hussain ◽  
Hamid Jan
Keyword(s):  
Preventive Maintenance ◽  
Simulation Software ◽  
Time Interval ◽  
Total System ◽  
Cnc Machine ◽  
Effect Analysis ◽  
System Cost ◽  
Reliability Centered Maintenance ◽  
Maintenance Time ◽  
Critical Components

The objective of this work was to enhance the product’s quality by concentrating on the machine’s optimized efficiency. In order to increase the machine’s reliability, the basis of reliability-centered maintenance approach was utilized. The purpose was to establish a planned preventive maintenance strategy to identify the machine’s critical components having a noteworthy effect on the product’s quality. The critical components were prioritized using failure mode and effect analysis (FMEA). The goal of the study was to decrease the ppm time interval for a CNC machine by simulating the projected preventive maintenance time interval. For this purpose, the simulation software ProModel 7.5 was implemented for the current preventive maintenance procedure to choose the best ppm time interval which contributed better norms. Five dissimilar optimization approaches were applied, however, the first approach yielded the prominent total system cost and the shorter ppm interval. The results of the study revealed that there was an increase of USD 1878 as a result of an increase in total system cost from USD 78,365 to USD 80,243. Preventive maintenance costs were reduced from USD 4196 to USD 2248 (46%). The costs associated with good parts increased from USD 8259 to USD 8294 (0.4%) and the costs associated with defective parts reduced from USD 171 to USD 3 (98.25%), respectively.

Study on Model of Inventory and Distribution Joint Optimization Based on the VMI

2013 ◽  
Vol 361-363 ◽  
pp. 2053-2056
Author(s):  
Ji Jun Pang ◽  
Xi Fu Wang
Keyword(s):  
Iterative Algorithm ◽  
System Optimization ◽  
Joint Optimization ◽  
Total System ◽  
Logistics System ◽  
Matlab Software ◽  
System Cost ◽  
Multiple Clients

This paper studies the problem of inventory and distribution joint optimization for two level logistics system of a supplier and multiple clients by building the model of inventory and distribution joint optimization based on VMI to reach the goal of minimizing the total system cost. Moreover, this article not only designs the iterative algorithm to solve the model, and determine the optimal inventory and distribution program from the perspective of system optimization, but also verifies the validity of the model and algorithm through using MATLAB software.

A Novel Optimization Model for Location of Waste Transfer Stations

2011 ◽  
Vol 214 ◽  
pp. 578-582 ◽  
Author(s):  
Gao Chang Zhao
Keyword(s):  
Environmental Monitoring ◽  
Waste Disposal ◽  
Optimization Model ◽  
Total System ◽  
Evaluation Function ◽  
Numerical Examples ◽  
System Cost ◽  
Waste Transfer ◽  
Transfer Stations ◽  
Novel Model

Waste transfer stations play an important role in waste disposal. This paper proposed a novel model for optimization location of waste transfer stations in environmental monitoring. With the considering of requirements, total system cost and the effect to the environment, an optimization model is given for the positions of waste transfer stations. An algorithm is proposed to solve the optimization model and the evaluation function can obtain the minimal value. The efficiency and the accuracy of the proposed algorithm are shown in several numerical examples..

scholarly journals An integrated supply chain inventory model with imperfect-quality items, controllable lead time and distribution-free demand

2013 ◽  
Vol 23 (1) ◽  
pp. 87-109 ◽  
Author(s):  
Hsien-Jen Lin
Keyword(s):  
Lead Time ◽  
Optimal Order ◽  
Total System ◽  
Screening Process ◽  
Defective Items ◽  
Distribution Free ◽  
System Cost ◽  
Demand Distribution ◽  
Production Run ◽  
Distribution Free Approach

In this paper, we consider an integrated vendor-buyer inventory policy for a continuous review model with a random number of defective items and screening process gradually at a fixed screening rate in buyer?s arriving order lot. We assume that shortages are allowed and partially backlogged on the buyer?s side, and that the lead time demand distribution is unknown, except its first two moments. The objective is to apply the minmax distribution free approach to determine the optimal order quantity, reorder point, lead time and the number of lots delivered in one production run simultaneously so that the expected total system cost is minimized. Numerical experiments along with sensitivity analysis were performed to illustrate the effects of parameters on the decision and the total system cost.

Study on Combinational Scheduling Optimization of Bus Transit Rapid Based on Tabu Search & Genetic Algorithm

2015 ◽  
Vol 744-746 ◽  
pp. 1827-1831
Author(s):  
Cheng Zhi Chang ◽  
Xu Mei Chen ◽  
Meng Wang
Keyword(s):  
Genetic Algorithm ◽  
Tabu Search ◽  
Search Algorithm ◽  
Operating Cost ◽  
Fundamental Principle ◽  
Total System ◽  
Scheduling Optimization ◽  
System Cost ◽  
Scheduling Model ◽  
Mixed Genetic Algorithm

The goal is to minimize the sum of operating cost and passengers’ travel cost, and establish an optimized combinational scheduling model of Bus Rapid Transit (BRT) combined with regular bus, express bus and shuttle bus. A mixed genetic algorithm based on tabu search algorithm (GA-TS) has been designed after analyzing the fundamental principle of genetic algorithm (GA) and tabu search (TS). A case study has been carried out on the combinational scheduling optimization of a selecting BRT line. By adopting the combinational scheduling model, 5.24% of the total system cost can be saved, which is quite prominent. The mixed genetic algorithm based on GA-TS can optimize the BRT scheduling system, shorten the turnaround time of operating BRT vehicles, effectively reduce the total system cost of BRT and improve decision-making efficiency and service quality.

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