Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
Process capability improvement through DMAIC for aluminum alloy wheel machining
EN
G. V. S
. S. Sharma
Department of Mechanical Engineering, GMR Institute of Technology, Rajam, A.P., 532127, India
P.
Srinivasa Rao
Department of Mechanical Engineering, Centurion University, Parlakhemundi, Odisha, 761211, India
B.
Surendra Babu
Department of Industrial Engineering, GITAM University, Visakhapatnam, A.P., 530045, India
This paper first enlists the generic problems of alloy wheel machining and subsequently details on the process improvement of the identified critical-to-quality machining characteristic of A356 aluminum alloy wheel machining process. The causal factors are traced using the Ishikawa diagram and prioritization of corrective actions is done through process failure modes and effects analysis. Process monitoring charts are employed for improving the process capability index of the process, at the industrial benchmark of four sigma level, which is equal to the value of 1.33. The procedure adopted for improving the process capability levels is the define-measure-analyze-improve-control (DMAIC) approach. By following the DMAIC approach, the <em>C</em> p, <em>C</em> pk and <em>C</em> pm showed signs of improvement from an initial value of 0.66, −0.24 and 0.27, to a final value of 4.19, 3.24 and 1.41, respectively.
Alloy wheel . CTQ (critical,to,quality) characteristic . DMAIC (define,Measure,analyze,improvecontrol) . Ishikawa diagram . PFMEA (process failure modes and effects analysis) . Control charts
http://jiei.azad.ac.ir/article_676761.html
http://jiei.azad.ac.ir/article_676761_30cb904b785b833623f5e79582c6ffe5.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
Examining significant factors in micro and small enterprises performance: case study in Amhara region, Ethiopia
EN
Tomas
Cherkos
Faculty of Mechanical and Industrial Engineering, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia
Muluken
Zegeye
Faculty of Mechanical and Industrial Engineering, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia
Shimelis
Tilahun
Faculty of Mechanical and Industrial Engineering, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia
Muralidhar
Avvari
Faculty of Mechanical and Industrial Engineering, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia
Furniture manufacturing micro and small enterprises are confronted with several factors that affect their performance. Some enterprises fail to sustain, some others remain for long period of time without transforming, and most are producing similar and non-standard products. The main aim of this manuscript is on improving the performance and contribution of MSEs by analyzing impact of significant internal and external factors. Data was collected via a questionnaire, group discussion with experts and interviewing process. Randomly selected eight representative main cities of Amhara region with 120 furniture manufacturing enterprises are considered. Data analysis and presentation was made using SPSS tools (correlation, proximity, and <em>T</em> test) and impact-effort analysis matrix tool. The correlation analysis shows that politico-legal with infrastructure, leadership with entrepreneurship skills and finance and credit with marketing factors are those factors, which result in high correlation with Pearson correlation values of <em>r</em> = 0.988, 0.983, and 0.939, respectively. The study investigates that the most critical factors faced by MSEs are work premises, access to finance, infrastructure, entrepreneurship and business managerial problems. The impact of these factors is found to be high and is confirmed by the 50% drop-out rate in 2014/2015. Furthermore, more than 25% work time losses due to power interruption daily and around 65% work premises problems challenged MSEs. Further, an impact-effort matrix was developed to help the MSEs to prioritize the affecting factors.
Micro and small enterprises . Furniture manufacturing . Factors . Correlation . Impact,effort analysis
http://jiei.azad.ac.ir/article_676762.html
http://jiei.azad.ac.ir/article_676762_c2f6427fd6d7afabde7bcf09d451deb0.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
General form of a cooperative gradual maximal covering location problem
EN
Jafar
Bagherinejad
Department of Industrial Engineering, Alzahra University, Tehran, Iran
Mahdi
Bashiri
Department of Industrial Engineering, Shahed University, Tehran, Iran
Hamideh
Nikzad
Department of Industrial Engineering, Alzahra University, Tehran, Iran
Cooperative and gradual covering are two new methods for developing covering location models. In this paper, a cooperative maximal covering location–allocation model is developed (CMCLAP). In addition, both cooperative and gradual covering concepts are applied to the maximal covering location simultaneously (CGMCLP). Then, we develop an integrated form of a cooperative gradual maximal covering location problem, which is called a general CGMCLP. By setting the model parameters, the proposed general model can easily be transformed into other existing models, facilitating general comparisons. The proposed models are developed without allocation for physical signals and with allocation for non-physical signals in discrete location space. Comparison of the previously introduced gradual maximal covering location problem (GMCLP) and cooperative maximal covering location problem (CMCLP) models with our proposed CGMCLP model in similar data sets shows that the proposed model can cover more demands and acts more efficiently. Sensitivity analyses are performed to show the effect of related parameters and the model’s validity. Simulated annealing (SA) and a tabu search (TS) are proposed as solution algorithms for the developed models for large-sized instances. The results show that the proposed algorithms are efficient solution approaches, considering solution quality and running time.
Location,allocation . Maximal covering . Cooperative covering . Gradual covering . Metaheuristics
http://jiei.azad.ac.ir/article_676763.html
http://jiei.azad.ac.ir/article_676763_e4a4914b0c8b9db5faec6185c23d4d91.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
An iterative method for tri-level quadratic fractional programming problems using fuzzy goal programming approach
EN
Semu
Mitiku Kassa
Department of Mathematics, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia
Teklay
Hailay Tsegay
Department of Mathematics, Wollo University, P.O. Box 1145, Dessie, Ethiopia
Tri-level optimization problems are optimization problems with three nested hierarchical structures, where in most cases conflicting objectives are set at each level of hierarchy. Such problems are common in management, engineering designs and in decision making situations in general, and are known to be strongly NP-hard. Existing solution methods lack universality in solving these types of problems. In this paper, we investigate a tri-level programming problem with quadratic fractional objective functions at each of the three levels. A solution algorithm has been proposed by applying fuzzy goal programming approach and by reformulating the fractional constraints to equivalent but non-fractional non-linear constraints. Based on the transformed formulation, an iterative procedure is developed that can yield a satisfactory solution to the tri-level problem. The numerical results on various illustrative examples demonstrated that the proposed algorithm is very much promising and it can also be used to solve larger-sized as well as <em>n</em>-level problems of similar structure.
Tri,level programming . Quadratic fractional programming . Fuzzy goal programming . Membership functions . Deviational variables
http://jiei.azad.ac.ir/article_676764.html
http://jiei.azad.ac.ir/article_676764_775f3c87a68cb5a437c37c6181001e30.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
Incentive mechanism based on cooperative advertising for cost information sharing in a supply chain with competing retailers
EN
Mostafa
Setak
Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran
Hajar
Kafshian Ahar
Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran
Saeed
Alaei
Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran
This paper proposes a new motivation for information sharing in a decentralized channel consisting of a single manufacturer and two competing retailers. The manufacturer provides a common product to the retailers at the same wholesale price. Both retailers add their own values to the product and distribute it to consumers. Factors such as retail prices, values added to the product, and local advertising of the retailers simultaneously have effect on market demand. Each retailer has full information about the own added value which is unknown to the manufacturer and other retailer. The manufacturer uses a cooperative advertising program for motivating the retailers to disclose their private information. A numerical study is presented to compare different scenarios of information sharing. Computational results show that there is a condition in which full information sharing is beneficial for all members of the supply chain through cooperative advertising program and, therefore, retailers have enough incentive to disclose their cost information to the manufacturer.
Coordination . Information sharing . Vertical cooperative advertising . Competing retailers . Game theory
http://jiei.azad.ac.ir/article_676765.html
http://jiei.azad.ac.ir/article_676765_4f0864a1e847101d8e7027fa61b95533.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
MTBF evaluation for 2-out-of-3 redundant repairable systems with common cause and cascade failures considering fuzzy rates for failures and repair: a case study of a centrifugal water pumping system
EN
Seyed
Mohammad Mortazavi
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
Maryam
Mohamadi
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
Javid
Jouzdani
Department of Industrial Engineering, Golpayegan University of Technology, Golpayegan, Iran
In many cases, redundant systems are beset by both independent and dependent failures. Ignoring dependent variables in MTBF evaluation of redundant systems hastens the occurrence of failure, causing it to take place before the expected time, hence decreasing safety and creating irreversible damages. Common cause failure (CCF) and cascading failure are two varieties of dependent failures, both leading to a considerable decrease in the MTBF of redundant systems. In this paper, the alpha-factor model and the capacity flow model are combined so as to incorporate CCF and cascading failure in the evaluation of MTBF of a 2-out-of-3 repairable redundant system. Then, using a transposed matrix, the MTBF function of the system is determined. Due to the fact that it is difficult to estimate the independent and dependent failure rates, industries are interested in considering uncertain failure rates. Therefore, fuzzy theory is used to incorporate uncertainty into the model presented in this study, and a nonlinear programming model is used to determine system’s MTBF. Finally, in order to validate the proposed model, evaluation of MTBF of the redundant system of a centrifugal water pumping system is presented as a practical example.
Mean time between failures (MTBF) .Redundant repairable systems . Common cause failure (CCF) . Cascading failure . Fuzzy parameters
http://jiei.azad.ac.ir/article_676766.html
http://jiei.azad.ac.ir/article_676766_6241c5952c03f70c7cbade791538f7e5.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
Cuckoo search via Lévy flights for the capacitated vehicle routing problem
EN
Jon Henly
Santillan
Department of Mathematics, Physics, and Computer Science, University of the Philippines Mindanao, Mintal, 8022, Davao, Philippines
Samantha
Tapucar
Department of Mathematics, Physics, and Computer Science, University of the Philippines Mindanao, Mintal, 8022, Davao, Philippines
Cinmayii
Manliguez
Department of Mathematics, Physics, and Computer Science, University of the Philippines Mindanao, Mintal, 8022, Davao, Philippines
Vicente
Calag
Department of Mathematics, Physics, and Computer Science, University of the Philippines Mindanao, Mintal, 8022, Davao, Philippines
For this paper, we explored the implementation of the cuckoo search algorithm applied to the capacitated vehicle routing problem. The cuckoo search algorithm was implemented with Lévy flights with the 2-opt and double-bridge operations, and with 500 iterations for each run. The algorithm was tested on the problem instances from the Augerat benchmark dataset. The algorithm did not perform well on the problem instances, save for a select few on which the algorithm achieved the close to near-optimal result and one on which the algorithm achieved the optimal result. Increasing the number of iterations for each run of the algorithm on the two large-scale problem instances led to obtaining solutions closer to the optimal solution compared to the ones obtained with fewer number iterations. This gives an idea that the larger the problem instance becomes, the slower the algorithm converges to the optimal solution. Several other factors may also have contributed to the overall performance of the algorithm. Regardless of its performance, the algorithm was able to obtain routes that satisfied the constraints of the capacitated vehicle routing problem. The potential of the cuckoo search algorithm in solving combinatorial problems is demonstrated in this study in which the performance of the algorithm on routing problems was explored.
Capacitated vehicle routing problem . Combinatorial optimization . Cuckoo search . Le´vy flights
http://jiei.azad.ac.ir/article_676767.html
http://jiei.azad.ac.ir/article_676767_ebae43cb9c26e9b25cd09b297f1428dc.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
Optimizing a multi-product closed-loop supply chain using NSGA-II, MOSA, and MOPSO meta-heuristic algorithms
EN
Vahid
Babaveisi
Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran
Mohammad
Mahdi Paydar
Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran
Abdul
Sattar Safaei
Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran
This study aims to discuss the solution methodology for a closed-loop supply chain (CLSC) network that includes the collection of used products as well as distribution of the new products. This supply chain is presented on behalf of the problems that can be solved by the proposed meta-heuristic algorithms. A mathematical model is designed for a CLSC that involves three objective functions of maximizing the profit, minimizing the total risk and shortages of products. Since three objective functions are considered, a multi-objective solution methodology can be advantageous. Therefore, several approaches have been studied and an NSGA-II algorithm is first utilized, and then the results are validated using an MOSA and MOPSO algorithms. Priority-based encoding, which is used in all the algorithms, is the core of the solution computations. To compare the performance of the meta-heuristics, random numerical instances are evaluated by four criteria involving mean ideal distance, spread of non-dominance solution, the number of Pareto solutions, and CPU time. In order to enhance the performance of the algorithms, Taguchi method is used for parameter tuning. Finally, sensitivity analyses are performed and the computational results are presented based on the sensitivity analyses in parameter tuning.
Closed,loop logistics . NSGA,II . MOPSO . MOSA . Taguchi . Mathematical model . Priority,based
http://jiei.azad.ac.ir/article_676768.html
http://jiei.azad.ac.ir/article_676768_685695e2f6aca736bea1eaea8f7c2613.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
A model for distribution centers location-routing problem on a multimodal transportation network with a meta-heuristic solving approach
EN
Saeed
Fazayeli
Department of Engineering, University of Kurdistan, Pasdaran Blvd., Post Box No.: 416, Sanandaj, Iran
Alireza
Eydi
Department of Engineering, University of Kurdistan, Pasdaran Blvd., Post Box No.: 416, Sanandaj, Iran
Isa Nakhai
Kamalabadi
Department of Engineering, University of Kurdistan, Pasdaran Blvd., Post Box No.: 416, Sanandaj, Iran
Nowadays, organizations have to compete with different competitors in regional, national and international levels, so they have to improve their competition capabilities to survive against competitors. Undertaking activities on a global scale requires a proper distribution system which could take advantages of different transportation modes. Accordingly, the present paper addresses a location-routing problem on multimodal transportation network. The introduced problem follows four objectives simultaneously which form main contribution of the paper; determining multimodal routes between supplier and distribution centers, locating mode changing facilities, locating distribution centers, and determining product delivery tours from the distribution centers to retailers. An integer linear programming is presented for the problem, and a genetic algorithm with a new chromosome structure proposed to solve the problem. Proposed chromosome structure consists of two different parts for multimodal transportation and location-routing parts of the model. Based on published data in the literature, two numerical cases with different sizes generated and solved. Also, different cost scenarios designed to better analyze model and algorithm performance. Results show that algorithm can effectively solve large-size problems within a reasonable time which GAMS software failed to reach an optimal solution even within much longer times.
Location,routing problem . Multimodal transportation . Distribution center . Genetic algorithm
http://jiei.azad.ac.ir/article_676769.html
http://jiei.azad.ac.ir/article_676769_0da5f35ab6ca329a24be8a072c8ffbfc.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
An EOQ model for non-instantaneous deteriorating items with two levels of storage under trade credit policy
EN
R.
Udayakumar
Department of Mathematics, R & D Centre, Bharathiar University, Coimbatore, Tamilnadu, 624 046, India
K. V.
Geetha
Department of Mathematics, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, 624622, India
A deterministic inventory model with two levels of storage (own warehouse and rented warehouse) with non-instantaneous deteriorating items is studied. The supplier offers the retailer a trade credit period to settle the amount. Different scenarios based on the deterioration and the trade credit period have been considered. In this article, we have framed two models considering single warehouse (Model-I) and two warehouses (Model-II) for non-instantaneous deteriorating items. The objective of this work is to minimize the total inventory cost and to find the optimal length of replenishment and the optimal order quantity. Mathematical theorems have been developed to determine the existence and the uniqueness of the optimal solution. Computational algorithms for the two different models are designed to find the optimal order quantity and the optimal cycle time. Comparison between the optimal solutions for the two models is also given. Numerical illustrations and managerial insights obtained demonstrate the application and the performance of the proposed theory.
Inventory. Non,instantaneous deterioration . Permissible delay in payment . Two warehouses
http://jiei.azad.ac.ir/article_676770.html
http://jiei.azad.ac.ir/article_676770_f11c667bc5966925bf31423d66fbe339.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
Optimizing decentralized production–distribution planning problem in a multi-period supply chain network under uncertainty
EN
Raheleh
Nourifar
Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
Iraj
Mahdavi
Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
Nezam
Mahdavi-Amiri
Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran
Mohammad
Mahdi Paydar
Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran
Decentralized supply chain management is found to be significantly relevant in today’s competitive markets. Production and distribution planning is posed as an important optimization problem in supply chain networks. Here, we propose a multi-period decentralized supply chain network model with uncertainty. The imprecision related to uncertain parameters like demand and price of the final product is appropriated with stochastic and fuzzy numbers. We provide mathematical formulation of the problem as a bi-level mixed integer linear programming model. Due to problem’s convolution, a structure to solve is developed that incorporates a novel heuristic algorithm based on <em>K</em>th-best algorithm, fuzzy approach and chance constraint approach. Ultimately, a numerical example is constructed and worked through to demonstrate applicability of the optimization model. A sensitivity analysis is also made.
Decentralized supply chain . Production,distribution planning problem . Bi-level approach . Network design
http://jiei.azad.ac.ir/article_676771.html
http://jiei.azad.ac.ir/article_676771_cef99327943a8d3342ce552139c073af.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
A new approach for Robot selection in manufacturing using the ellipsoid algorithm
EN
Iman Mohamad
Sharaf
Department of Basic Sciences, Higher Technological Institute, Ahmad Hamdy Street, First District, PO Box 228, Tenth of Ramadan City, Egypt
The choice of suitable robots in manufacturing, to improve product quality and to increase productivity, is a complicated decision due to the increase in robot manufacturers and configurations. In this article, a novel approach is proposed to choose among alternatives, differently assessed by decision makers on different criteria, to make the final evaluation for decision-making. The approach is based on the ellipsoid algorithm for systems of linear inequalities. Most of the ranking methods depend on integration that becomes complicated for nonlinear membership functions, which is the case in robot selection. The method simply uses the membership function or its derivative. It takes the decision maker’s attitude in ranking. It effectively ranks fuzzy numbers and their images, preserving symmetry. It is a simple recursive algebraic formula that can be easily programmed. The performance of the algorithm is compared with the performance of some existing methods through several numerical examples to illustrate its advantages in ranking, and a robot selection problem is solved.
Fuzzy multicriteria decision,making . Ranking fuzzy numbers . The ellipsoid method . Robot selection
http://jiei.azad.ac.ir/article_676772.html
http://jiei.azad.ac.ir/article_676772_864becb6b329d1c5bb7d5f5d8a070b6d.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
Acceptance sampling for attributes via hypothesis testing and the hypergeometric distribution
EN
Robert Wayne
Samohyl
Federal University of Santa Catarina, Florianópolis, Brazil
This paper questions some aspects of attribute acceptance sampling in light of the original concepts of hypothesis testing from Neyman and Pearson (NP). Attribute acceptance sampling in industry, as developed by Dodge and Romig (DR), generally follows the international standards of ISO 2859, and similarly the Brazilian standards NBR 5425 to NBR 5427 and the United States Standards ANSI/ASQC Z1.4. The paper evaluates and extends the area of acceptance sampling in two directions. First, by suggesting the use of the hypergeometric distribution to calculate the parameters of sampling plans avoiding the unnecessary use of approximations such as the binomial or Poisson distributions. We show that, under usual conditions, discrepancies can be large. The conclusion is that the hypergeometric distribution, ubiquitously available in commonly used software, is more appropriate than other distributions for acceptance sampling. Second, and more importantly, we elaborate the theory of acceptance sampling in terms of hypothesis testing rigorously following the original concepts of NP. By offering a common theoretical structure, hypothesis testing from NP can produce a better understanding of applications even beyond the usual areas of industry and commerce such as public health and political polling. With the new procedures, both sample size and sample error can be reduced. What is unclear in traditional acceptance sampling is the necessity of linking the acceptable quality limit (AQL) exclusively to the producer and the lot quality percent defective (LTPD) exclusively to the consumer. In reality, the consumer should also be preoccupied with a value of AQL, as should the producer with LTPD. Furthermore, we can also question why type I error is always uniquely associated with the producer as producer risk, and likewise, the same question arises with consumer risk which is necessarily associated with type II error. The resolution of these questions is new to the literature. The article presents R code throughout.
Acceptance sampling . Lot quality assurance sampling (LQAS) . Hypergeometric . Operating characteristic curve (OCC) . Receiver operating characteristic (ROC) Curve . Hypothesis test . R CRAN
http://jiei.azad.ac.ir/article_676773.html
http://jiei.azad.ac.ir/article_676773_57982ec685fd91c608eec9134c2916c4.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
Transformation from manufacturing process taxonomy to repair process taxonomy: a phenetic approach
EN
Umair
Raza
Industrial Engineering Department, University of Engineering and Technology, Taxila, Pakistan
Wasim
Ahmad
Industrial Engineering Department, University of Engineering and Technology, Taxila, Pakistan
Atif
Khan
Mechanical Engineering Department, National University of Science and Technology, Islamabad, Pakistan
The need of taxonomy is vital for knowledge sharing. This need has been portrayed by through-life engineering services/systems. This paper addresses this issue by repair process taxonomy development. Framework for repair process taxonomy was developed followed by its implementation. The importance of repair process taxonomy has been highlighted.
Through,life engineering . Knowledge sharing
http://jiei.azad.ac.ir/article_676774.html
http://jiei.azad.ac.ir/article_676774_16e1b0ab01156806b51f355bbefd2c8d.pdf
Islamic Azad University, South Tehran Branch
Journal of Industrial Engineering, International
1735-5702
2251-712X
14
2
2018
06
01
A hybrid CS-SA intelligent approach to solve uncertain dynamic facility layout problems considering dependency of demands
EN
Ghorbanali
Moslemipour
Department of Industrial Engineering, Payame Noor University (PNU), P.O.BOX, 19395-3697, Tehran, Iran
This paper aims at proposing a quadratic assignment-based mathematical model to deal with the stochastic dynamic facility layout problem. In this problem, product demands are assumed to be dependent normally distributed random variables with known probability density function and covariance that change from period to period at random. To solve the proposed model, a novel hybrid intelligent algorithm is proposed by combining the simulated annealing and clonal selection algorithms. The proposed model and the hybrid algorithm are verified and validated using design of experiment and benchmark methods. The results show that the hybrid algorithm has an outstanding performance from both solution quality and computational time points of view. Besides, the proposed model can be used in both of the stochastic and deterministic situations.
Clonal selection . Simulated annealing . Stochastic dynamic . Facility layout problem
http://jiei.azad.ac.ir/article_676775.html
http://jiei.azad.ac.ir/article_676775_aed35e174a087a9fcf20da501bbcb6e6.pdf