scholarly journals Simulated annealing based simulation method for minimizing electricity cost considering production line scheduling including injection molding machines

2020 ◽  
Vol 14 (4) ◽  
pp. JAMDSM0055-JAMDSM0055
Author(s):  
Masaki ISHIHARA ◽  
Hironori HIBINO ◽  
Taku HARADA
Keyword(s):  
Simulated Annealing ◽  
Injection Molding ◽  
Production Line ◽  
Simulation Method ◽  
Electricity Cost

On the Markov Chain Simulation Method for Uniform Combinatorial Distributions and Simulated Annealing

1987 ◽  
Vol 1 (1) ◽  
pp. 33-46 ◽  
Author(s):  
David Aldous
Keyword(s):  
Markov Chain ◽  
Simulated Annealing ◽  
Simulated Annealing Algorithm ◽  
Simulation Method ◽  
Careful Analysis ◽  
Eigenvalue Estimate ◽  
Uniform Distributions ◽  
Markov Chain Method ◽  
Annealing Algorithm ◽  
Second Largest Eigenvalue

Uniform distributions on complicated combinatorial sets can be simulated by the Markov chain method. A condition is given for the simulations to be accurate in polynomial time. Similar analysis of the simulated annealing algorithm remains an open problem. The argument relies on a recent eigenvalue estimate of Alon [4]; the only new mathematical ingredient is a careful analysis of how the accuracy of sample averages of a Markov chain is related to the second-largest eigenvalue.

scholarly journals Optimal Buffer Allocation For Unpaced Balanced And Unbalanced Mean Processing Time

2012 ◽  
Author(s):  
Zalinda Othman ◽  
Shahrul Kamaruddin ◽  
Mohd. Shihabudin Ismail
Keyword(s):  
Key Words ◽  
Coefficient Of Variation ◽  
Production Line ◽  
Processing Time ◽  
Simulation Method ◽  
Buffer Allocation ◽  
Throughput Rate ◽  
Processing Times ◽  
The Mean

Artikel ini membincangkan peruntukan penampan optimum untuk talian pengeluaran unpaced yang pendek dan boleh diharap (tiada mesin rosak). Parameter utama yang mempengaruhi talian dalam kajian ini adalah min masa pemprosesan (μ) dan pekali variasinya (Cv). Lapan taburan min masa pemprosesan telah dikaji. Setiap taburan dipadankan dengan 15 konfigurasi peruntukan penampan. Kaedah simulasi digunakan bagi menganggar kadar keluaran talian untuk setiap kes. Keputusan kajian menunjukkan peruntukan penampan tertentu mempengaruhi kadar keluaran talian. Bagi talian yang boleh diharap dan min seimbang, peruntukan penampan yang optima adalah dengan mengagihkan bilangan penampan secara sama rata ke setiap slot penampan. Jika penampan tambahan diperlukan selepas agihan dilakukan, letakkan penampan tambahan tersebut pada slot penampan yang di tengah. Manakala bentuk peruntukan penampan yang baik bagi talian yang mempunyai min tidak seimbang (dengan anggapan setiap stesen mempunyai Cv tetap dan boleh diharap) ialah mengikut bentuk taburan min masa pemprosesan talian tersebut. Kata kunci: Talian pengeluaran unpaced, min tidak seimbang, peruntukan penampan optima, talian seimbang, talian pengeluaran unpaced boleh diharap This article discusses an optimal buffer allocation for short unpaced production line and it is assumed reliable (no machines breakdown). The main parameters that affect the line are mean processing time (μ) and its coefficient of variation (Cv). Eight different mean processing time distributions were studied. Each distribution was matched with 15 different buffer allocations. Simulation method was used to estimate the line throughput rate. The results showed that the allocation of buffers affect the throughput rate. For a reliable and balanced line, the optimum buffer allocation is by equally distributing the number of buffers to each buffer slot. In the case of an extra buffer is needed after equally distribution, it is placed at the center buffer slot. Meanwhile, the best buffer allocation shape for a line with unbalanced mean (with the assumption that each station is having fixed Cv and is reliable) follows the shape of the mean processing times of that line. Key words: Unpaced production line, unbalanced mean, optimal buffer allocation, balanced line, reliable unpaced production line

Simulation of M/M/1 Queue Model Based on WITNESS

2011 ◽  
Vol 261-263 ◽  
pp. 753-756
Author(s):  
Hua Meng ◽  
Hua Wang ◽  
Jian Jun Wang
Keyword(s):  
Complex System ◽  
Production Line ◽  
Queuing Theory ◽  
Simulation Method ◽  
System Optimization ◽  
Theory Method ◽  
Steel Making ◽  
Queue Model ◽  
System Characteristics ◽  
Static Simulation

The techno-interface of BF-BOF region is an important stage that connects iron making procedure with steel making procedure in the production line, acting as a connecting link between the preceding and the following procedure. It is also the key region to optimize the iron making and steel making process as a whole. In this paper, based on queuing theory method for BF-BOF region simulation, a static simulation method is presented to realize the simulation of dynamic system, WITNESS is used to simulate the M/M/1 queue model. The number of different transportation ladles has been analyzed to influence the BF-BOF region, the best ladles were obtained in order to improve production rate. The results show that the modeling method can reflect the complex system characteristics of BF-BOF region and provide the advice for system optimization.

scholarly journals The Numerical Simulation of the Airflow Distribution and Energy Efficiency in Data Centers with Three Types of Aisle Layout

2019 ◽  
Vol 11 (18) ◽  
pp. 4937 ◽  
Author(s):  
Jing Ni ◽  
Bowen Jin ◽  
Shanglei Ning ◽  
Xiaowei Wang
Keyword(s):  
Energy Efficiency ◽  
Power Consumption ◽  
Air Conditioning ◽  
Data Centers ◽  
Simulation Method ◽  
Cooling Capacity ◽  
Energy Utilization ◽  
Improve Energy Efficiency ◽  
Electricity Cost ◽  
Airflow Distribution

The energy consumption of fast-growing data centers is drawing attentions from not only energy organizations and institutions all over the world, but also charity groups, such as Greenpeace, and research shows that the power consumption of air conditioning makes up a large proportion of the electricity cost in data centers. Therefore, more detailed investigations of air conditioning power consumption are warranted. Three types of airflow distributions with different aisle layouts (the open aisle, the closed cold aisle, and the closed hot aisle) were investigated with Computational Fluid Dynamics (CFD) methods in a typical data center of four rows of racks in this study. To evaluate the results of thermal and bypass phenomenon, the temperature increase index (β) and the energy utilization index (ηr) were used. The simulations show that there is a better trend of the β index and ηr index both closed cold aisle and closed hot aisle compared with free open aisle. Especially with high air flow rate, the β index decreases and the ηr index increases considerably. Moreover, the results prove the closed aisles (both closed cold aisle and closed hot aisle) can not only significantly improve the airflow distribution, but also reduce the mixture of cold and heat flow, and therefore improve energy efficiency. In addition, it proves the design of the closed aisles can meet the increasing density of installations and our simulation method could evaluate the cooling capacity easily.

Use of empty job and its optimization for reducing electricity cost in production line

2019 ◽  
Vol 2019 (0) ◽  
pp. 602
Author(s):  
Hironori HIBINO ◽  
Yuto OTSUKA ◽  
Masaki ISHIHARA ◽  
Hiroki NAKADA ◽  
Taku HARADA ◽  
...  
Keyword(s):  
Production Line ◽  
Electricity Cost

scholarly journals Evaluation of SME (Small Medium Enterprise) production system with discrete system simulation method

2018 ◽  
Vol 154 ◽  
pp. 01067
Author(s):  
Reno Dias Anggara Purba ◽  
M Iqbal Sabit ◽  
Joko Sulistio
Keyword(s):  
Production Line ◽  
Discrete System ◽  
System Simulation ◽  
Waiting Times ◽  
Minimum Cost ◽  
Poor Performance ◽  
Simulation Method ◽  
Manufacturing Companies ◽  
Production Lines ◽  
Best Response

Like manufacturing companies that have flowshop production lines, SME facing the amount of flow time and makespan. Unfulfilled production targets, buildup on some machines that result in other machines being idle, increasing waiting times across multiple machines, and poor performance of workers are a series of problems facing SME. This article uses a discrete system simulation method to analyze and evaluate SME production lines to improve performance. Simulation is an appropriate tool used when experiments are needed in order to find the best response from system components. From the results of modeling and simulation done found the root of the problem is due to accumulation that occurs in one machine and the lack of utility of the operator in producing bags. So do the experimental design with 3 scenarios on the system that have been modeled and obtained some solutions that can be offered to solve the problem. Furthermore, after the alternative selection is obtained the best scenario based on the alternative selection test is the scenario3 by adding 2 new machines and 1 new operator on the production line obtained a significant output increase compared to other scenarios of approximately 30%. While the best scenario based on the minimum cost is the scenario2 by adding 2 new operators obtained output that is not much different than the scenario3. However, it has not been able to solve a series of problems facing SME. Therefore, the results of this study to solve a series of problems faced by SME is to add facilities in the production line of 2 new machines and 1 operator (scenario3).

A Management Guide for Determination of Optimal Buffer Allocation in Unpaced Production Line Using 6 Steps OBA

2015 ◽  
Vol 793 ◽  
pp. 637-641 ◽  
Author(s):  
Mohd Shihabudin Ismail ◽  
M.I. Hussain ◽  
Zuraidah M. Zain ◽  
Noorhafiza Muhd
Keyword(s):  
Production Line ◽  
Processing Time ◽  
Simulation Method ◽  
Allocation Problem ◽  
Buffer Size ◽  
Assembly Process ◽  
Buffer Allocation ◽  
Throughput Rate ◽  
Simulation Results

This paper deals with a buffer allocation problem in unpaced μ-unbalanced production line. Unpaced line is referred to a line with workstations act independently and the material is not pulled by demand but in push mode. In this study, the production line is considered unpaced, μ-unbalanced but reliable. Mean processing time (μ) is the most difficult variable to fix constant in an actual production line due to the complexity of assembly process. The unbalance variance will become higher if the assembly process is more complex. The optimal buffer allocation need to be found for this particular type of production line so that it can maximize throughput rate and minimize total number of work-in-progress (WIP) on the line. This paper used a simulation method to simulate the throughput rate by given sets of buffer size. Based on the simulation results, a basic optimal buffer allocation (OBA) concept represented the characteristics of OBA for a production line was summarized. By applying the concept, a development of 6 Steps OBA tool is carried out. This tool could be utilized by a management in allocating the buffer during designing of the line layout.

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