Journal of Optimization in Industrial Engineering最新文献

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Developing a new bi-objective functions model for a hierarchical location-allocation problem using the queuing theory and mathematical programming 利用排队论和数学规划,建立了一种新的双目标函数模型
Journal of Optimization in Industrial Engineering Pub Date : 2019-07-01 DOI: 10.22094/JOIE.2018.350.0
P. Azimi, A. Asadollahi
{"title":"Developing a new bi-objective functions model for a hierarchical location-allocation problem using the queuing theory and mathematical programming","authors":"P. Azimi, A. Asadollahi","doi":"10.22094/JOIE.2018.350.0","DOIUrl":"https://doi.org/10.22094/JOIE.2018.350.0","url":null,"abstract":"In this research, a hierarchical location-allocation problem is modeled in a queue framework. The queue model is considered as M/M/1/k, in which system capacity is finite, equals to k. This is the main contribution of the current research. Customer's enters to the system in order to find the service according to a Poisson. In this problem, the hierarchical location-allocation model is considered in two levels. Also, the model has two objective functions: maximizing the total number of demand coverage and minimizing the waiting time of customers in queues to receive services. After modeling and verifying the validity of the presented model, it is solved using NSGA II and MOPSO meta-heuristics.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"12 1","pages":"149-154"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41825421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Game Theoretical Approach to Optimize Policies of Government Under the Cartel of Two Green and Non-green Supply Chains 绿色与非绿色供应链卡特尔下政府政策优化的博弈论方法
Journal of Optimization in Industrial Engineering Pub Date : 2019-07-01 DOI: 10.22094/JOIE.2018.729.1467
A. Yazdanpanah, A. Akbari, M. Mozafari
{"title":"A Game Theoretical Approach to Optimize Policies of Government Under the Cartel of Two Green and Non-green Supply Chains","authors":"A. Yazdanpanah, A. Akbari, M. Mozafari","doi":"10.22094/JOIE.2018.729.1467","DOIUrl":"https://doi.org/10.22094/JOIE.2018.729.1467","url":null,"abstract":"In this research, firms aim at maximizing two purposes of social welfare (environment) and profitability in the supply chain system. It is assumed that there are two supply chains, a green and an ordinary, each consists of a manufacturer and a supplier; in which the manufacturer generates profit through franchises. The green and the ordinary manufacturers form a cartel on the market of a certain product with the goal of increasing their mutual profits and maintaining a certain level of social welfare, while the government, as a leader, intervene financially using tax rates and incentives. We formulate the problem as a Stackelberg game model seeking the equilibrium solutions. A numerical example is presented and a sensitivity analysis is carried out. The results show that the investment’s encouraging tax rate in green technology has no impact on the optimal production of the green and ordinary manufacturers. Therefore, it is not an affective variable on the product market, but it is an important variable for the state utility function. Another highlight is that if tax rates are not equal for green and ordinary goods, then either the green or the ordinary producer will be withdrawn from the market. The most important result of this study is that if the government wants to maximize its utility function when the final product’s market is facing with a cartel and the price collusion between the green and ordinary producer, it should realize the equality between the ordinary and green tax rate and there is no difference between these two parameters of the government's decision. If the government is willing to keep the green producer in the market, the optimal and absolute tax rate of green chain is obtained by assuming zero profit of the green manufacturer.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"12 1","pages":"189-197"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49380246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Fixture Design and Work Piece Deformation Optimization Using the Iterative Simplex Algorithm 夹具设计与工件变形优化的迭代单纯形算法
Journal of Optimization in Industrial Engineering Pub Date : 2019-07-01 DOI: 10.22094/JOIE.2019.569623.1568
S. Chavan, A. Shinde
{"title":"Fixture Design and Work Piece Deformation Optimization Using the Iterative Simplex Algorithm","authors":"S. Chavan, A. Shinde","doi":"10.22094/JOIE.2019.569623.1568","DOIUrl":"https://doi.org/10.22094/JOIE.2019.569623.1568","url":null,"abstract":"Presents article is deal with optimization of the fixture for end milling process, the most important objective being the minimization of work piece deformation by changing the layout of fixture elements and the clamping forces. The main objective of this work has been the optimization of the fixtures Work piece deformation subjected to clamping forces for End milling operation. The present analysis is  used in hollow rectangular  isotropic material work piece for FEA analysis and its optimization A linear programing (L.P) simplex model optimization activity has been performed both on fixture-work piece systems modeled with FEM and on fixture-work piece systems modeled with 3-D solid elements. The optimization constraints is selected as W/P deformation in x,y,z direction for various clamping forces, in order to provide a new design of fixture.  The MATLAB code has been developed for L.P. model optimization purpose. Present MATLAB code is validated by using available literature. This paper deals with application of the L.P. model for w/p deformation optimization for a accommodating work piece. A simplex iterative algorithm that minimizes the work piece elastic deformation for the entire clamping force is proposed. It is shown via an example of milling fixture design that this algorithm yields a design that is superior to the result obtained from either fixture layout or w/p deformation optimization alone.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"12 1","pages":"33-44"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47785973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Classifying the Customers of Telecommunication Company in order to Identify Profitable Customers Based on Their First Transaction, Using Decision Tree: A Case Study of System 780 利用决策树对电信公司客户进行分类,以识别基于首次交易的盈利客户——以System 780为例
Journal of Optimization in Industrial Engineering Pub Date : 2019-07-01 DOI: 10.22094/JOIE.2018.572783.1575
M. Velayati, M. Shahriari, F. Lotfi
{"title":"Classifying the Customers of Telecommunication Company in order to Identify Profitable Customers Based on Their First Transaction, Using Decision Tree: A Case Study of System 780","authors":"M. Velayati, M. Shahriari, F. Lotfi","doi":"10.22094/JOIE.2018.572783.1575","DOIUrl":"https://doi.org/10.22094/JOIE.2018.572783.1575","url":null,"abstract":"Effective knowledge and awareness of customers require the market segmentation, through which the customers who have the same needs and purchasing patterns as well as the same response to marketing plans are identified. The selection of a proper variable is a requirement, among other, for a successful market segmentation. In today' world, on one hand, the consumers are bombarded with new goods and new services, and on the other hand, they face the varying qualities of the goods and services. Consequently, such uncertainties will lead to more vague decisions and cumulative data. The timely and accurate analysis of these cumulative data can bring about competitive advantages to the enterprises. Furthermore, thanks to new technology and global competition, the majority of organizations have focused on Customer Relationship Management (CRM), with the goal of better serving the customers. The customer relationship planning entails the facilitation and creation of interfaces related to market segmentation, which is considered as a requirement for predicting behavior of the prospective customers in the future. Market segmentation refers to the process of dividing the customers into some segments based on their common characteristics while different groups have the least similarity to each other. This is followed by the formulation of plans for new product production, advertisement and marketing in accordance with the characteristics of each group of customers. Current study aims at identifying the profitable customers of a telecom System, based on their first transaction, using binary tree. The customers of System 780 participated in this case study.  The dependent variable and independent variable of the study were identified through mining the data of customers, registered in the databases of System 780. The results showed the acceptable calculation error in distinguishing the profitable customers from other customers.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"12 1","pages":"55-63"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47124040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A system Dynamics Approach to Designing a Crowdfunding Model in Technological Entrepreneurship Ecosystem with a Focus on Technology Incubator Centers 科技创业生态系统中众筹模式设计的系统动力学方法——以科技孵化中心为例
Journal of Optimization in Industrial Engineering Pub Date : 2019-06-19 DOI: 10.22094/JOIE.2019.582524.1618
Mehran Saeidi Aghdam, Akbar Alamtabriz, Asghar Sarafizadeh Qazvini, H. Zandhessami
{"title":"A system Dynamics Approach to Designing a Crowdfunding Model in Technological Entrepreneurship Ecosystem with a Focus on Technology Incubator Centers","authors":"Mehran Saeidi Aghdam, Akbar Alamtabriz, Asghar Sarafizadeh Qazvini, H. Zandhessami","doi":"10.22094/JOIE.2019.582524.1618","DOIUrl":"https://doi.org/10.22094/JOIE.2019.582524.1618","url":null,"abstract":"Crowdfunding, a new financing method for funding ideas or ventures through a large number of relatively small contributions from many individuals has witnessed the phenomenal development over the past decade. It involves bypassing traditional financial intermediaries and using online web-based platforms to connect users of funds with retail funders. This research first explores in greater detail the crowdfunding phenomenon, discussing its main aspects, as well as the role of the involved Stakeholders, and then introduce the A system dynamics approach to designing a crowdfunding model in technological entrepreneurship ecosystem with a focus on technology incubator centers. The present study is based on the system dynamics method and this research, in terms of the purpose is applied and in terms of the survey method. So for analysis of data, Vensim software has been used. The simulation results show that technological entrepreneurship ecosystem policy combinations can effectively promote crowdfunding, which attracts more entrepreneurs to provide their ideas. So crowdfunding could promote entrepreneurial to give a greater impact on economics, and contribute to building a more sustainable society.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"113-122"},"PeriodicalIF":0.0,"publicationDate":"2019-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43804524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Economic Lot Sizing and Scheduling in Distributed Permutation Flow Shops 分布式置换流车间中的经济批量确定与调度
Journal of Optimization in Industrial Engineering Pub Date : 2019-03-01 DOI: 10.22094/JOIE.2018.542997.1510
Mohammad Alaghebandha, B. Naderi, Mohammad Reza Mohammadi
{"title":"Economic Lot Sizing and Scheduling in Distributed Permutation Flow Shops","authors":"Mohammad Alaghebandha, B. Naderi, Mohammad Reza Mohammadi","doi":"10.22094/JOIE.2018.542997.1510","DOIUrl":"https://doi.org/10.22094/JOIE.2018.542997.1510","url":null,"abstract":"This paper addresses a new mixed integer nonlinear and linear mathematical programming economic lot sizing and scheduling problem in distributed permutation flow shop problem with number of identical factories and machines. Different products must be distributed between the factories and then assignment of products to factories and sequencing of the products assigned to each factory has to be derived. The objective is to minimize the sum of setup costs, work-in-process inventory costs and finished products inventory costs per unit of time. Since the proposed model is NP-hard, an efficient Water Cycle Algorithm is proposed to solve the model. To justify proposed WCA, Monarch Butterfly Optimization (MBO), Genetic Algorithm (GA) and combination of GA and simplex are utilized. In order to determine the best value of algorithms parameters that result in a better solution, a fine-tuning procedure according to Response Surface Methodology is executed.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"12 1","pages":"103-117"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49615062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A Two-dimensional Warranty Model with Consideration of Customer and Manufacturer Objectives Solved with Non-dominated Sorting Genetic Algorithm 基于非支配排序遗传算法的考虑客户和制造商目标的二维保修模型
Journal of Optimization in Industrial Engineering Pub Date : 2019-03-01 DOI: 10.22094/JOIE.2018.538225
A. Asadi, M. Saidi‐Mehrabad, Faranak Fathi Aghdam
{"title":"A Two-dimensional Warranty Model with Consideration of Customer and Manufacturer Objectives Solved with Non-dominated Sorting Genetic Algorithm","authors":"A. Asadi, M. Saidi‐Mehrabad, Faranak Fathi Aghdam","doi":"10.22094/JOIE.2018.538225","DOIUrl":"https://doi.org/10.22094/JOIE.2018.538225","url":null,"abstract":"Warranty is a powerful implement for marketing strategy that is used by manufacturersand creates satisfaction for consumers by ensuring to compensate for incorrect operation of the product. Warranty serviceresults ina cost named warranty cost for a manufacturer.This cost is a function of warranty policy, regions, and product failures pattern. Since this service coversthe cost of uncertain failure of the product, it makes some utility for customers. In this paper, we developed a novel customer utility function that is used as a customer objective to be maximized. In addition to the manufacturer objective, minimizing the warranty costisconsidered simultaneously. There are four restrictions on warranty parameters such as time, usage, unit product price and the R&D expenditure to be considered. Finally, we will propose a novel bi-objective model that maximizesthe utility function for customers and minimizesthe warranty cost for the manufacturer. This model will be solved with an evolutionary algorithmcalled Non-Dominated Sorting Genetic Algorithm (NSGA-II) and non-dominated Pareto solutionswill be gained from this method.To give a numerical instance, for a certain usage rate’s range of costumers, different warranties are provided and compared. It is believed that the computational results can help manufacturers to determine optimal solutions for the objective functions and consequentlywarranty parameters.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"12 1","pages":"15-22"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43067313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Multi-response Optimization of Grooved Circular Tubes Filled with Polyurethane Foam as Energy Absorber 聚氨酯泡沫填充圆管吸能性能的多响应优化
Journal of Optimization in Industrial Engineering Pub Date : 2019-03-01 DOI: 10.22094/JOIE.2018.764.1487
Shima Shahravi, M. Rezvani, Ali Jahan
{"title":"Multi-response Optimization of Grooved Circular Tubes Filled with Polyurethane Foam as Energy Absorber","authors":"Shima Shahravi, M. Rezvani, Ali Jahan","doi":"10.22094/JOIE.2018.764.1487","DOIUrl":"https://doi.org/10.22094/JOIE.2018.764.1487","url":null,"abstract":"The main objective of this research is to improvethe design and performance of the polyurethane foam-filled thin-walled aluminum grooved circular tubes using multi-response optimization (MRO) technique. The tubes are shaped with the inner and the outer circular grooves at different positions along the axis. For this aim, several numerical simulations using ABAQUS finite element explicit code are performed to study the energy absorption of these structures. The effects of the grooves distance, tube diameter, grooves depth, foam density, and tube thickness are investigated onthecrashworthiness parameters of grooved circular tubes. Finite-element analysis is performed along the lines defined by design of experiments (DOE) technique at different combinations of the design parameters. The MRO is carried out using the mathematical models obtained from response surface methodology (RSM) for two crashworthiness parameters termed as the specific energy absorption (SEA) and the crushing force efficiency (CFE). Finally, by analyzing all the design criteria including theabsorbed energy of tube, themass of tube, the mean crushing load, and the maximum crushing load, the optimal density of polyurethane foam and geometric parameters were obtained through both multi-objective optimization process and Pareto diagram. A comparison of the obtained results indicates the significance of grooves distance and the inner diameter of thetube as the most influential parameters.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"12 1","pages":"133-149"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47209320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
An Integrated Approach for Facility Location and Supply Vessel Planning with Time Windows 带时间窗口的设施选址与补给船规划集成方法
Journal of Optimization in Industrial Engineering Pub Date : 2019-03-01 DOI: 10.22094/JOIE.2018.544109.1517
M. Amiri, S. Sadjadi, R. Tavakkoli-Moghaddam, A. Jabbarzadeh
{"title":"An Integrated Approach for Facility Location and Supply Vessel Planning with Time Windows","authors":"M. Amiri, S. Sadjadi, R. Tavakkoli-Moghaddam, A. Jabbarzadeh","doi":"10.22094/JOIE.2018.544109.1517","DOIUrl":"https://doi.org/10.22094/JOIE.2018.544109.1517","url":null,"abstract":"This paper presents a new model of two-echelon periodic supply vessel planning problem with time windows mix of facility location (PSVPTWMFL-2E) in an offshore oil and gas industry. The new mixed-integer nonlinear programming (MINLP) modelconsists ofa fleet composition problem and a location-routing problem (LRP). The aim of the model is to determine the size and type of large vessels in the first echelon and supply vessels in the second echelon.Additionally,the location of warehouse(s),optimal voyages and related schedules in both echelons are purposed.The total cost should be kept at a minimum and the need of operation regions and offshore installationsshould be fulfilled.A two-stage exact solution method, which is common for maritime transportation problems, is presented for small and medium-sized problems. In the first stage, all voyages are generated and in the second stage, optimal fleet composition, voyages and schedules are determined. Furthermore, optimal onshore base(s) to install central warehouse(s)and optimal operation region(s) to send offshore installation’s needs are decided in the second stage.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"12 1","pages":"151-165"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44541698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Modelling and solving the job shop scheduling Problem followed by an assembly stage considering maintenance operations and access restrictions to machines 建模和解决作业车间调度问题,然后考虑维护操作和对机器的访问限制
Journal of Optimization in Industrial Engineering Pub Date : 2019-03-01 DOI: 10.22094/JOIE.2018.760.1484
Seyed Mohammad Hassan Hosseini
{"title":"Modelling and solving the job shop scheduling Problem followed by an assembly stage considering maintenance operations and access restrictions to machines","authors":"Seyed Mohammad Hassan Hosseini","doi":"10.22094/JOIE.2018.760.1484","DOIUrl":"https://doi.org/10.22094/JOIE.2018.760.1484","url":null,"abstract":"This paper considers job shop scheduling problem followed by an assembly stage and Lot Streaming (LS). It is supposed here that a number of products have been ordered to be produced. Each product is assembled with a set of several parts. The production system includes two stages. The first stage is a job shop to produce parts. Each machine can process only one part at the same time. The second stage is an assembly shop that contains several parallel machines. Maintenance operations and access restrictions to machines in the first stage are also considered. The objective function is to minimize the completion time of all products (makespan). At first, this problem is described and modelled as a mixed integer linear programming, and GAMS software is applied to solve small-sized problems. Since this problem has been proved to be strongly NP-hard, two new algorithms based on GA and SA are developed to solve the medium- and large-sized problems. In order to verify the effectiveness of the proposed algorithms, a statistical analysis is used along with Relative Percentage Deviation (RPD) factor and well-known criterion. IMP. Various problems are solved by the proposed algorithms. Computational results reveal that both of the two proposed algorithms have good performance. However, the method based on the genetic algorithm performs better than the other proposed algorithm with respect to the objective functi","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"12 1","pages":"63-78"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44313665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
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