{"title":"Exact equations for the reliability and meantime to failure of 1-out-of-n cold-standby system with imperfect switching","authors":"S. T. A. Niaki, A. Yaghoubi","doi":"10.22094/JOIE.2020.1905939.1773","DOIUrl":"https://doi.org/10.22094/JOIE.2020.1905939.1773","url":null,"abstract":"Standby redundancy is a common and fundamental technique for increasing the reliability and availability of various systems. Cold-standby state is one of the most important strategies that are well used in non-repairable systems and plays an important role in mission-critical systems reliability, such as space exploration and satellite systems. In this paper, closed-form equations are derived using the Markov method to calculate the reliability function and the meantime to failure of a 1-out-of-n cold-standby system with non-repairable components under imperfect switching. While it is assumed that the failures of the switch and its associated active components are independent of each other, a constant failure rate is considered for the components and an increasing constant failure rate for the switch as it is used more frequently. In the end, numerical examples are solved for a system with various numbers of components to demonstrate the application of the closed-form equations.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46385833","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}
{"title":"The Design of Inverse Network DEA Model for Measuring the Bullwhip Effect in Supply Chains with Uncertain Demands","authors":"S. A. Khiavi, Simin Skandari","doi":"10.22094/JOIE.2020.1885077.1703","DOIUrl":"https://doi.org/10.22094/JOIE.2020.1885077.1703","url":null,"abstract":"Two different bullwhip effects with equal scores may have different sensitivities and production patterns. As a result, the difference between these two seemingly equal scores has been ignored in previous methods (such as frequency response and moving average). So, the present study constructs a model of Inverse Network Data Envelopment Analysis, to introduce the relative and interval scores of the bullwhip effect magnitude, when a series of uncertain demands are made in a specific time interval. In the first stage of the proposed network, the uncertain demands and the forecasted uncertain data are regarded respectively as the model’s inputs and outputs. These output data constitute the intermediate variables and consequently the inputs of the second stage of the study model. In the second stage, after considering the ordering policies, the uncertain orders are sent. Due to utilizing both the optimistic and pessimistic perspectives, the study methodology includes an interval value for measuring the bullwhip effect with relative attitude. In the optimistic perspective, the analyzed decision making unit has the optimal status in comparison with other decision making units. In the pessimistic perspective, the analyzed decision making unit has the worst status in comparison with other decision making units. The results show that time is an unfair factor in the size of the bullwhip effect. The impact of uncertainties on the bullwhip effect in the demand forecasting stage is greater than the ordering stage. According to the research findings, cross-sectional planning is possible at different times according to different conditions. Therefore, using the results of the research, a fair score of the bullwhip effect can be obtained by considering all perspectives.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42567780","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}
{"title":"Identifying and Evaluating Effective Factors in Green Supplier Selection using Association Rules Analysis","authors":"M. Adibi, N. Esfandyari","doi":"10.22094/JOIE.2020.575685.1589","DOIUrl":"https://doi.org/10.22094/JOIE.2020.575685.1589","url":null,"abstract":"Nowadays companies measure suppliers on the basis of a variety of factors and criteria that affect the supplier's selection issue. This paper intended to identify the key effective criteria for selection of green suppliers through an efficient algorithm callediterative process mining or i-PM. Green data were collected first by reviewing the previous studies to identify various environmental criteria. Then, the suppliers were evaluated and ranked on the basis of those criteria. The score table derived for the green criteria was one of the inputs to the algorithm. Moreover, membership functions and minimum support values were specified for each criterion as another input to the algorithm. The supplier ranking index was also obtained based on the score assigned to supplier's performance. Then, the hidden relationships between data were discovered and association rules were achieved and analyzed to identify the most important green criterion for selecting green suppliers.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48490446","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}
{"title":"Application of Fuzzy Analytical Hierarchy Process and Quality Function Deployment Techniques for Supplier's Assessment","authors":"A. Alinezhad, Azadeh Seif","doi":"10.22094/JOIE.2020.27.1","DOIUrl":"https://doi.org/10.22094/JOIE.2020.27.1","url":null,"abstract":"Abstract Vendor Selection Problem (VSP) has been considered in this paper as an integrated method of Fuzzy Analytic Hierarchy Process (FAHP) and Quality Function Deployment (QFD) in the pharmaceutical company. In QFD method, determining the importance of the \"weights\" for the customer requirements is an essential and crucial issue. FAHP has been used to determine the importance of the \"weights\" for Product Designing which incorporates the four important attributes in a pharmaceutical company namely Cost, Standing Supplier, Delivery Time and Quality. The new approach can improve the imprecise ranking of customer requirements and provides a decision tool that facilitates the vendor selection. The most significant advantage of this integrated method is using it as a self-evaluation tool in the organization to determine weaknesses and strengths, so it can help researchers to solve this specific subject for supplier’s selection.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"279-289"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42687983","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}
Akram Ghelichkhan, S. Nematizadeh, H. Saeednia, S. K. Nourbakhsh
{"title":"Optimal Use of Social Media From the Perspective of Brand Equity in Startups with a Data Approach","authors":"Akram Ghelichkhan, S. Nematizadeh, H. Saeednia, S. K. Nourbakhsh","doi":"10.22094/JOIE.2020.673530","DOIUrl":"https://doi.org/10.22094/JOIE.2020.673530","url":null,"abstract":"The purpose of this study is to identify the effective factors of optimal use of social media in the brand equity of startup companies. To this end, the researcher collected the required data using snowball sampling, protocol design, and exploratory interviews with sixteen university experts, the industry in this field, and senior managers of accelerator companies and startups. Maxqda 18 software was used to analyze the interviews. In the open coding process, the researcher first identified 170 codes and categorized them into 8 categories. Then, based on the theoretical literature and using the opinion of academic experts in axial coding based on Strauss and Corbin paradigm model, the relevant model was extracted and finally the selective coding was performed. To evaluate the validity of coding, Peer check method, the member check method and reliability by Field note were conducted. The results indicate that the main phenomena is using social media in startups and the communicational dimension as causal factors, cognitive dimension, and attitude in the position of strategies, brand characteristics as background factors, relational dimension, and rules and regulations as intervening factors and finally behavioral dimension were obtained as the consequences of the model.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"149-163"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49000401","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}
Hesam Adrang, A. Bozorgi-Amiri, K. Khalili-Damghani, R. Tavakkoli-Moghaddam
{"title":"Planning for Medical Emergency Transportation Vehicles during Natural Disasters","authors":"Hesam Adrang, A. Bozorgi-Amiri, K. Khalili-Damghani, R. Tavakkoli-Moghaddam","doi":"10.22094/JOIE.2020.688.1455","DOIUrl":"https://doi.org/10.22094/JOIE.2020.688.1455","url":null,"abstract":"One of the main critical steps that should be taken during natural disasters is the assignment and distribution of resources among affected people. In such situations, this can save many lives. Determining the demands for critical items (i.e., the number of injured people) is very important. Accordingly, a number of casualties and injured people have to be known during a disaster. Obtaining an acceptable estimation of the number of casualties adds to the complexity of the problem. In this paper, a location-routing problem is discussed for urgent therapeutic services during disasters. The problem is formulated as a bi-objective Mixed-Integer Linear Programming (MILP) model. The objectives are to concurrently minimize the time of offering relief items to the affected people and minimize the total costs. The costs include those related to locations and transportation means (e.g., ambulances and helicopters) that are used to carry medical personnel and patients. To address the bi-objectiveness and verify the efficiency and applicability of the proposed model, the e-constraint method is employed to solve several randomly-generated problems with CLEPX solver in GAMS. The obtained results include the objective functions, the number of the required facility, and the trade-offs between objectives. Then, the parameter of demands (i.e., number of casualties), which has the most important role, is examined using a sensitivity analysis and the managerial insights are discussed.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"185-197"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48713913","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}
{"title":"Online Distribution and Load Balancing Optimization Using the Robin Hood and Johnson Hybrid Algorithm","authors":"N. Rahmani, A. Najafi","doi":"10.22094/JOIE.2020.560265.1542","DOIUrl":"https://doi.org/10.22094/JOIE.2020.560265.1542","url":null,"abstract":"Proper planning of assembly lines is one of the production managers’ concerns at the tactical level so that it would be possible to use the machine capacity, reduce operating costs and deliver customer orders on time. The lack of an efficient method in balancing assembly line can create threatening problems for manufacturing organizations. The use of assembly line balancing methods cannot balance load distribution on the assembly line which can cause higher depreciation of machinery heir related problems in the assembly line. In the present paper Robin Hood and Johnson algorithm combined approach is used for the problem of load distribution and optimized online load balance, based on the optimized order of works on the assembly line for polymer cover print in Iran Plot Company the results of which are analyzed in terms of creating load balance in the assembly line. The results that we have obtained in the present study include the uniform load distribution of orders to the machines and the presence of reservations and backup machine that causes the production process to continue with a proper sequence and the priority without any interruption.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"17-26"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46569334","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}
{"title":"A New Mathematical Model for the Green Vehicle Routing Problem by Considering a Bi-Fuel Mixed Vehicle Fleet","authors":"N. Manavizadeh, H. Farrokhi-asl, S. Lim","doi":"10.22094/JOIE.2020.1871922.1667","DOIUrl":"https://doi.org/10.22094/JOIE.2020.1871922.1667","url":null,"abstract":"This paper formulates a mathematical model for the Green Vehicle Routing Problem (GVRP), incorporating bi-fuel (natural gas and gasoline) pickup trucks in a mixed vehicle fleet. The objective is to minimize overall costs relating to service (earliness and tardiness), transportation (fixed, variable and fuel), and carbon emissions. To reflect a real-world situation, the study considers: (1) a comprehensive fuel consumption function with a soft time window, and (2) an en-route fuel refueling option to eliminate the constraint of driving range. A linear set of valid inequalities for computing fuel consumption were introduced. In order to validate the presented model, first, the model is solved for an illustrative example. Then each component of cost objective function is considered separately so as to investigate the effects of each part on the obtained solutions and the importance of vehicles speed on transportation strategies. Computational analysis shows that, despite the limitation of an appropriate service infrastructure, the proposed model demonstrated an average reduction of 44%, 6% and 5% in carbon emission costs, total distribution costs, and transportation costs respectively. Moreover, the study found paradoxical effects of average speed, suggesting the need to manage trade-offs: while higher speeds reduced service costs, they increased carbon emission costs. In the next stage, some experiments modified from the literature are solved. According to these experiments, in all instances greater objective function values for Gasoline vehicles are gained. The difference in the carbon emission objective is also significant, with an average of 44.23% increase. Finally, managerial and institutional implications are discussed.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"165-183"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49125994","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}
Abolghasem Sharayei, M. Alborzi, R. Radfar, A. Rashidi
{"title":"A New Model Representation for Road Mapping in Emerging Sciences: A Case Study on Roadmap of Quantum Computing","authors":"Abolghasem Sharayei, M. Alborzi, R. Radfar, A. Rashidi","doi":"10.22094/JOIE.2020.579775.1604","DOIUrl":"https://doi.org/10.22094/JOIE.2020.579775.1604","url":null,"abstract":"One of the solutions for organizations to succeed in highly competitive markets is to move toward emerging sciences. These areas provide many opportunities, but, if organizations do not meet requirements of emerging sciences, they may fail and eventually, may enter a crisis. In this matter, one of the important requirements is to develop suitable roadmaps in variety fields such as strategic, capability, product, technology and etc. In this subject, it should be mentioned that there are connections among types of roadmaps, therefore, organizations need to understand these relations. According to this, we propose a model which describes relations among the roadmaps based on braid theory and appropriate methods for developing those roadmaps. The validity of developed model was conducted through the Delphi method. Additionally, we illustrate a to design a roadmap and implement it in quantum computing as an emerging science.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"89-100"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41936049","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}
B. M. Vishkaei, I. Mahdavi, N. Mahdavi-Amiri, E. Khorram
{"title":"A Public Bicycle Sharing System Considering Renting and Middle Stations","authors":"B. M. Vishkaei, I. Mahdavi, N. Mahdavi-Amiri, E. Khorram","doi":"10.22094/JOIE.2020.1866348.1646","DOIUrl":"https://doi.org/10.22094/JOIE.2020.1866348.1646","url":null,"abstract":"Recently, public bicycle sharing system (PBSS) has become one of the most favorite urban transportation systems that can help governments to decrease environmental problems such as pollution and traffic. This paper studies a sharing system that includes two types of stations. The first category contains stations that users can rent or return back bicycles and each bicycle can be rented by any new user who arrives to the stations. The second group is the stations which are near shopping centers, historical and other places that users and tourists can stop and visit them. These stations are used only for parking the rented bicycles for a period of time and after that, the users must ride their bicycles and turn them back to their destination stations. After discussing the network of the model under the closed Jackson network, the Mean Value Analysis (MVA) method will be used to calculate the mean queue of each station and analyzing the proposed model.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"141-147"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45731737","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}