18
2008-4889
Iran University of Science & Technology
858
Material Managment
The New Distribution of Exponential Singh-Maddala , Some Properties and its Application in Reliability
Karimi Ezmareh
Zahra
^{
b
}
Yari
Gholam Hossein
^{
c
}
^{
b
}School of Mathematics, Iran University of Science and Technology, Tehran, Iran
^{
c
}School of Mathematics, Iran University of Science and Technology, Tehran, Iran
1
6
2019
30
2
133
147
20
10
2018
28
04
2019
In this paper, a new distribution that is highly applicable in the fields of reliability and economics is introduced. Also the parameters of this distribution is estimated using two methods of Maximum Likelihood and Bayes with two prior distributions Weibull and Uniform, and these two methods are compared using Monte-Carlo simulation. Finally, this new model is fit on the real data(with the failure time of 84 aircraft) and some of comparative criteria are calculated to confirm superiority of the proposed model compared to other models.
836
Safety, Security and Risk Managment
Decision Support Approach on Occupational Safety Using Data Mining
Khosrowabadi
Naghmeh
^{
d
}
Ghousi
Rouzbeh
^{
e
}
Makui
Ahmad
^{
f
}
^{
d
}M.Sc., Department of Systems Optimization, Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
^{
e
}Assistant Professor, Department of Systems Optimization, Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
^{
f
}Professor, Department of Systems Optimization, Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
1
6
2019
30
2
149
164
03
07
2018
08
05
2019
With regard to the industrychr('39')s development, occupational safety is a key factor in protecting the workerchr('39')s health, achieving organizational goals and increasing productivity. Therefore, research is needed to investigate the factors affecting occupational safety. This research, based on the information gathered from the paint halts of one of the industrial units of Tehran, uses data mining technique to identify the important factors.Initially with Literature review to 2018, an insight into existing approaches and new ideas earned. Then, with a significant 5600 units of data, the results of the charts, association rules and K-means algorithm were used to extract the latent knowledge with the least error without human intervention from the six-step methodology of Crisp for data mining.The results of charts, association rules, and K-means algorithm for clustering are in a line and have been successful in determining effective factors such as important age groups and education, identifying important events, identifying the halls and finally, the root causes of major events that were the research questions.The results reveal the importance of very young and young age with often diploma education and low experience, in major accidents involving bruising, injury, and torsion, often due to self-unsafe act and unsafe conditions as slipping or collision with things. In addition, the important body members, hands and feet in the color retouching and surface color cabins are more at risk. These results help improve safety strategies. Finally, suggestions for future research were presented.
759
Reliability and Maintenance
On the Network Reliability under Shock Models
Goli
Sareh
^{
g
}
Asadi
Mohammadali
^{
h
}
^{
g
}Department of Mathematical Sciences, Isfahan University of Technology
^{
h
}Department of Mathematical Sciences, Isfahan University of Technology
1
6
2019
30
2
165
172
23
05
2017
08
05
2019
In the study of the reliability of systems in reliability engineering, it has been defined several measures in the reliability and survival analysis literature. The reliability function, the mean residual lifetime and the hazard rate are helpful tools to analyze the maintenance policies and burn-in. In this paper, we consider a network consisting of n components having the property that the network has two states up and down (connected and disconnected). Suppose that the network is subject to shocks that each may cause the component failures. We further suppose that the number of failures at each shock follows a truncated binomial distribution and the process of shocks is nonhomogeneous Poisson process. This paper investigates the reliability function, the mean residual lifetime and the hazard rate of the network under shock model. An example and illustrative graph is also provided.
791
Material Managment
Benders Decomposition Algorithm for A Build-to-Order Supply Chain Problem Under Uncertainty
Ebrahimi
Malieheh
^{
i
}
Tavakkoli-Moghaddam
Reza
^{
j
}
Jolai
Fariborz
^{
k
}
^{
i
}University of Tehran
^{
j
}University of Tehran
^{
k
}University of Tehran
1
6
2019
30
2
173
186
12
10
2017
08
05
2019
Customization is increasing so build-to-order systems are given more attention to researchers and practitioners. This paper presents a new build-to-order supply chain model with multiple objectives that minimize the total cost and lead time, and maximize the quality level. The model is first formulated in a deterministic condition, and then investigated the uncertainty of the cost and quality by the stochastic programming based on the scenario. The return policy and outsourcing are the new issues in a build-to-order supply chain by considering the cost and inventory. A Benders decomposition algorithm is used to solve and validate the model. Finally, the related results are analyzed and compared with the results obtained by CPLEX for deterministic and stochastic models.
883
Material Managment
Improving Time-Cost Balance in Critical Path Method (CPM) Using Dragonfly Algorithm (DA)
Adibhesami
Mohmmad Anvar
^{
l
}
Ekhlassi
Ahmad
^{
m
}
Mosadeghrad
Ali Mohammad
^{
n
}
Mohebifar
Amirhossein
^{
o
}
^{
l
}Iran University of Science and Technology, Narmak Avenue, 16846-13114, Tehran, Iran
^{
m
}Iran University of Science and Technology, Narmak Avenue, 16846-13114, Tehran, Iran
^{
n
}Tehran University of Medical Sciences
^{
o
}University Tarbiat Modares
1
6
2019
30
2
187
194
14
02
2019
10
03
2019
The CPM (critical path method) technique is to search out the longest path to try and do activities, so as to compress and cut back the time it takes for a project, which finally ends up inside the creation of an identical and intensive network of activities inside the targeted work. This formal random simulation study has been recognized as a remedy for the shortcomings that are inherent to the classic critical path technique (CPM) project analysis. Considering the importance of time, the cost of activities within the network, and rising the calculation of the critical path during this study, Critical Path technique has been applied to improve critical routing intelligence. This study, by simulating and analyzing dragonflychr('39')s splotched and regular patterns, has obtained the precise algorithm of attainable paths with the smallest amount cost and time for every activity. This has been done to put down the restrictions and enhance the computing potency of classic CPM analysis. The simulation results of using Dragonfly Algorithm (DA) in CPM, show the longest path in shortest time with the lowest cost. This new answer to CPM network analysis can provide project management with a convenient tool.
786
Material Managment
Coordination of Order Acceptance, Scheduling and Pricing Decisions in Unrelated Parallel Machine Scheduling
Esfandiari
Sahebe
^{
p
}
Mashreghi
Hamid
^{
}
Emami
Saeed
^{
}
^{
p
}Babol Noshirvani University of Technology
^{
}Babol Noshirvani University of Technology
^{
}Babol Noshirvani University of Technology
1
6
2019
30
2
195
205
12
09
2017
16
04
2019
We study the problem of order acceptance, scheduling and pricing (OASP) in parallel machine environment. Each order is characterized by due date, release date, deadline, controllable processing time, sequence dependent set up time and price in MTO system. We present a MILP formulation to maximize the net profit. Then under joint optimization approach, the pricing decisions set for unrelated parallel machine environment. The results show that the basic developed problem can solve the scheduling decisions based on different levels of products’ priced. Thus the problem solves these two categories of decisions simultaneously. Moreover, the changes of accepted orders in pricing levels can be analyzed regarding its dependency to price elasticity of items for future research.
860
Material Managment
A Simultaneous Worker Assignment and Scheduling Problem to Minimize Makespan in Flexible Flow Shop via Metaheuristic Approaches
Asadi-Gangraj
Ebrahim
^{
}
Bozorgnezhad
Fatemeh
^{
}
Paydar
Mohammad Mahdi
^{
}
^{
}Babol Noshirvani University of Technology
^{
}Babol Noshirvani University of Technology
^{
}Babol Noshirvani University of Technology
1
6
2019
30
2
207
223
05
11
2018
08
05
2019
In many real scheduling situations, it is necessary to deal with the worker assignment and job scheduling together. However, in traditional scheduling problems, only the machine is assumed to be a constraint and there isn’t any constraint about workers. This assumption could be due to the lower cost of workers compared to machines or the complexity of workerschr('39') assignment problems. This research proposes a flexible flow shop scheduling problem with two simultaneous issues: finding the best worker assignment, and solving the corresponding scheduling problem. We present a mathematical model that extends flexible flow shop scheduling problem to admit the worker assignment. Due to the NP-hardness of the research problem, two approximation approaches based on particle swarm optimization, named PSO and SPSO, are applied to minimize the makespan. The experimental results show that the proposed algorithms can efficiently minimize the makespan but the SPSO generates better solutions especially for large-size problems.
731
Material Managment
A Fuzzy Multi-Objective Model for Allocating Orders to Suppliers Under Shortfall and Price-Quantity Discounts: An MPSO and NSGA-II with Tuned Parameters
Salehi
Mojtaba
^{
}
Rezaei
Haniyeh
^{
}
^{
}Industrial Engineering Department, K. N. Toosi University of Technology
^{
}payame noor university
1
6
2019
30
2
225
239
03
04
2017
08
05
2019
In the new strategies of purchasing and production, suppliers play a key role in achieving of competitive capability for big companies. The selection of suitable suppliers is a critical component of this strategy. The problem of allocation order to supplier is a multi-objective problem that includes fuzzy parameters and also suppliers usually consider discount due to different levels of purchase amount. Since there is not a multi-objective fuzzy model for allocating orders in the literature that consider discount and shortfall simultaneously in the planning horizon of multi-products, this research proposes a new model includes minimization of costs, delays and the percentage of defective parts as objective functions. Jimenez method is used to defuzzy price, demand, delay and percentage of defective parts. Since the model is NP-hard, the two metaheuristic algorithms, NSGAII and MOPSO that their parameters were set by the Taguchi method has been developed. According to the results of numerical problems, the proposed algorithms can provide a good approximation of the optimal solutions for intended objectives.