Journal of Optimization in Industrial Engineering最新文献_第8页

A Mathematical Model for Multiple-Load AGVs in Tandem Layout 串联布局中多负载 AGV 的数学模型

Journal of Optimization in Industrial Engineering Pub Date : 2020-03-01 DOI: 10.22094/JOIE.2018.537.37

Behnam Rahimikelarijani, M. Saidi-Mehrabad, F. Barzinpour

引用次数: 17

Production Constraints Modelling: A Tactical Review Approach 生产约束建模:一种战术回顾方法

Journal of Optimization in Industrial Engineering Pub Date : 2020-03-01 DOI: 10.22094/JOIE.2019.564999.1554

C. Mgbemena, E. Chinwuko, H. F. Ifowodo

引用次数: 0

A Risk-averse Inventory-based Supply Chain Protection Problem with Adapted Stochastic Measures under Intentional Facility Disruptions: Decomposition and Hybrid Algorithms 基于风险规避库存的供应链保护问题——基于自适应随机措施的分解和混合算法

Journal of Optimization in Industrial Engineering Pub Date : 2020-02-23 DOI: 10.22094/JOIE.2019.1868275.1654

M. Seifbarghy, S. T. A. Niaki, S. Jalali

{"title":"A Risk-averse Inventory-based Supply Chain Protection Problem with Adapted Stochastic Measures under Intentional Facility Disruptions: Decomposition and Hybrid Algorithms","authors":"M. Seifbarghy, S. T. A. Niaki, S. Jalali","doi":"10.22094/JOIE.2019.1868275.1654","DOIUrl":"https://doi.org/10.22094/JOIE.2019.1868275.1654","url":null,"abstract":"Owing to rising intentional events, supply chain disruptions have been considered by setting up a game between two players, namely, a designer and an interdictor contesting on minimizing and maximizing total cost, respectively. The previous studies have found the equilibrium solution by taking transportation, penalty and restoration cost into account. To contribute further, we examine how incorporation of inventory cost influences the players’ strategies. Assuming risk-averse feature of the designer and fully optimizing property of the interdictor with limited budget, the conditional-value-at-risk is employed to be involved in total cost. Using special order sets of type two and duality role, the linearized tri-level problem is solved by column-and-constraint generation and benders decomposition algorithms in terms of small-sized instances. In terms of larger-sized instances, we also contribute to prior studies by hybridizing corresponding algorithms with bio-geography based optimization method. Another non-trivial extension of our work is to define adapted stochastic measures based on the proposed mean-risk tri-level formulation. Borrowing instances from prior papers, the computational results indicate the managerial insights on players’ decisions, the model’s efficiency and performance of the algorithms.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"211-226"},"PeriodicalIF":0.0,"publicationDate":"2020-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44227186","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: 0

A Data Mining approach for forecasting failure root causes: A case study in an Automated Teller Machine (ATM) manufacturing company 预测故障根本原因的数据挖掘方法:一个自动柜员机(ATM)制造公司的案例研究

Journal of Optimization in Industrial Engineering Pub Date : 2020-02-23 DOI: 10.22094/JOIE.2020.1863364.1630

Seyedehpardis Bagherighadikolaei, R. Ghousi, A. Haeri

{"title":"A Data Mining approach for forecasting failure root causes: A case study in an Automated Teller Machine (ATM) manufacturing company","authors":"Seyedehpardis Bagherighadikolaei, R. Ghousi, A. Haeri","doi":"10.22094/JOIE.2020.1863364.1630","DOIUrl":"https://doi.org/10.22094/JOIE.2020.1863364.1630","url":null,"abstract":"Based on the findings of Massachusetts Institute of Technology, organizations’ data double every five years. However, the rate of using data is 0.3. Nowadays, data mining tools have greatly facilitated the process of knowledge extraction from a welter of data. This paper presents a hybrid model using data gathered from an ATM manufacturing company. The steps of the research are based on CRISP-DM. Therefore, based on the first step, business understanding, the company and its different units were studied. After business understanding, the data collected from sale's unit were prepared for preprocess. While preprocessing, data from some columns of dataset, based on their types and purpose of the research, were either categorized or coded. Then, the data have been inserted into Clementine software, which resulted in modeling and pattern discovery. The results clearly state that, the same Machines’ Code and the same customers in different provinces are struggling with significantly different Problems’ Code, that could be due to weather condition, culture of using ATMs, and likewise. Moreover, the same Machines’ Code and the same Problems’ Code, as well as differences in Technicians' expertise, seems to be some causes to significantly different Repair Time. This could be due to Technicians' training background level of their expertise and such. At last, the company can benefit from the outputs of this model in terms of its strategic decision-making.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42321475","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

Behaviour of Individuals towards E-Waste Management in India 印度个人对电子垃圾管理的行为

Journal of Optimization in Industrial Engineering Pub Date : 2020-02-23 DOI: 10.22094/JOIE.2020.575925.1590

S. Arya, Ajay Gupta, A. Bhardwaj

{"title":"Behaviour of Individuals towards E-Waste Management in India","authors":"S. Arya, Ajay Gupta, A. Bhardwaj","doi":"10.22094/JOIE.2020.575925.1590","DOIUrl":"https://doi.org/10.22094/JOIE.2020.575925.1590","url":null,"abstract":"Technology is changing very quickly at very cheap prices. Along with this, it becomes easier to buy any electronic product right now as compared to previous years. There are many channels (Online & Offline) available in the market to buy your desired products. Nowadays it becomes a trend: to buy new electronic products to use the latest available technology. People prefer to buy new product instead of upgrading the old product. Mobiles and laptops are the most common products which are bought frequently instead of to upgrade. Expanding usage of the mobiles, computers/laptops, and LCD/LED in all the sectors inflicting dramatically increase in generation of e-waste. E-waste referred to all kind of electric and electronic appliances that is thrown by their end user. The electronics equipments are very complex assembly structure. It contains toxic gases, toxic metals plastics, circuits, some precious metals like gold in very small quantity. The toxic substances have very adverse effect on the health of human being. These are also very dangerous for our environment also. . The objective of the study is to find how the individual consumers behave towards the e-waste. Awareness level of the individual consumers also checked. Northern Indian states are selected to conduct a study to check the awareness level of individual consumers. In this paper consumer recycling behavior was analyzed with the help of questionnaire. Figure 1 Graphical Abstract The figure shows that in all the factors, the value of mean lies between 1 and 2. It shows that most of the consumers either have no idea of hazardous materials in e-waste, concept of e-waste management and electronic waste management policies implemented in India or they have very little knowledge.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"239-248"},"PeriodicalIF":0.0,"publicationDate":"2020-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47912695","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: 0

Developing Fuzzy Tool Capability measurement system analysis 开发模糊工具能力度量系统分析

Journal of Optimization in Industrial Engineering Pub Date : 2020-02-23 DOI: 10.22094/JOIE.2019.1871392.1666

Yusof Ismail, Neda Ghane, S. A. Darestani, Azam Moradi Tadi

引用次数: 2

Hybrid Teaching-Learning-Based Optimization and Harmony Search for Optimum Design of Space Trusses 基于优化与和谐搜索的空间桁架优化设计混合教学

Journal of Optimization in Industrial Engineering Pub Date : 2019-09-22 DOI: 10.22094/JOIE.2019.1866904.1649

S. Talatahari, V. Goodarzimehr, N. Taghizadieh

{"title":"Hybrid Teaching-Learning-Based Optimization and Harmony Search for Optimum Design of Space Trusses","authors":"S. Talatahari, V. Goodarzimehr, N. Taghizadieh","doi":"10.22094/JOIE.2019.1866904.1649","DOIUrl":"https://doi.org/10.22094/JOIE.2019.1866904.1649","url":null,"abstract":"The Teaching-Learning-Based Optimization (TLBO) algorithm is a new meta-heuristic algorithm which recently received more attention in various fields of science. The TLBO algorithm divided into two phases: Teacher phase and student phase; In the first phase a teacher tries to teach the student to improve the class level, then in the second phase, students increase their level by interacting among themselves. But, due to the lack of additional parameter to calculate the distance between the teacher and the mean of students, it is easily trapped at the local optimum and make it unable to reach the best global for some difficult problems. Since the Harmony Search (HS) algorithm has a strong exploration and it can explore all unknown places in the search space, it is an appropriate complement to improve the optimization process. Thus, based on these algorithms, they are merged to improve TLBO disadvantages for solving the structural problems. The objective function of the problems is the total weight of whole members which depends on the strength and displacement limits. Indeed, to avoid violating the limits, the penalty function applied in the form of stress and displacement limits. To show the superiority of the new hybrid algorithm to previous well-known methods, several benchmark truss structures are presented. The results of the hybrid algorithm indicate that the new algorithm has shown good performance.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"177-194"},"PeriodicalIF":0.0,"publicationDate":"2019-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46080799","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: 13

Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM 基于统计过程的社会网络监测与变化检测:ERGM

Journal of Optimization in Industrial Engineering Pub Date : 2019-09-22 DOI: 10.22094/JOIE.2019.581174.1615

Frshid Rajabi, A. Saghaei, S. Sadinejad

引用次数: 1

ELECTRE I-based group decision methodology with risk preferences in an imprecise setting for flexible manufacturing systems 在不精确的柔性制造系统中，基于风险偏好的群体决策方法

Journal of Optimization in Industrial Engineering Pub Date : 2019-09-22 DOI: 10.22094/JOIE.2019.662.1428

S. Mousavi, H. Gitinavard, B. Vahdani

{"title":"ELECTRE I-based group decision methodology with risk preferences in an imprecise setting for flexible manufacturing systems","authors":"S. Mousavi, H. Gitinavard, B. Vahdani","doi":"10.22094/JOIE.2019.662.1428","DOIUrl":"https://doi.org/10.22094/JOIE.2019.662.1428","url":null,"abstract":"A new hesitant fuzzy set (HFS)-ELECTRE for multi-criteria group decision-making (MCGDM) problems is developed in this paper. In real-world applications, the decision makers (DMs)’ opinions are often hesitant for decision problems; thus, considering the exact data is difficult. To address the issue, the DMs’ judgments can be expressed as linguistic variables that are converted into the HFSs, considered as inputs in the ELECTRE method. Meanwhile, an appropriate tool among the fuzzy sets theory and their extensions is the HFSs since the DMs can assign their judgments for an alternative under the evaluation criteria by some membership degrees under a set to decrease the errors. Introduced hesitant fuzzy ELECTRE (HF-ELECTRE) method is elaborated based on the risk preference of each DM with assigning some degrees. Moreover, the weight of each DM is computed and implemented in the proposed procedure to reduce judgments’ errors. Then, a new discordance HF index is provided. Pair-wise comparisons are used for outranking relations regarding HF information. Finally, the validation and verification of the proposed HF-ELECTRE method are demonstrated in a practical example of FMSs.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46294121","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

Analytical Modeling of Specific Energy Consumption and Cost Share in Comprehensive Textile Industry: Case Study of Ethiopia 综合纺织业比能耗和成本分担的分析模型——以埃塞俄比亚为例

Journal of Optimization in Industrial Engineering Pub Date : 2019-09-22 DOI: 10.22094/JOIE.2019.580631.1612

Dessie Tarekegn Bantelay, Muluken Z. Getie, Betelhem Dereje Bruk, Robile Nigussie Workalemayehu

{"title":"Analytical Modeling of Specific Energy Consumption and Cost Share in Comprehensive Textile Industry: Case Study of Ethiopia","authors":"Dessie Tarekegn Bantelay, Muluken Z. Getie, Betelhem Dereje Bruk, Robile Nigussie Workalemayehu","doi":"10.22094/JOIE.2019.580631.1612","DOIUrl":"https://doi.org/10.22094/JOIE.2019.580631.1612","url":null,"abstract":"Energy is one of the primary inputs in textile processing industries that have a significant impact on the cost of a cotton product. The energy cost-share is reported between 5-10% of the total production cost of woven cotton fabric in textile factories of developed countries. However, it is far higher in developing countries. This study aims to contribute to the understanding of energy use and energy efficiency in Ethiopian cotton textile industries through multi-level comparisons and analyses. Determination of specific energy consumption, specific cost-share and specific energy consumption and cost estimation model is developed in cotton textile processing industries of Ethiopia to show the level of energy utilization practice effectiveness and to point out specific energy conservation measure. Actual and designed energy consumption data has been gathered from machine nameplate and factory design documents. Then important performance indicating data is collected through on-site measurement. This research pointed out that, the actual energy consumption per unit textile product is higher than the estimated consumption of each involved textile processing stage. The cost-share of energy in Ethiopian cotton textile industries accounts for an average of 16.01% of the total production cost of a cotton product and it is the second-highest cost of a product next to cotton. This indicates the existing of poor energy management practices in the textile industries. As a result, they face high production costs, poor product quality, and non-conducive working environment. This study shows that any productivity improvement measure in the textile industries of Ethiopia has to give more emphasis on the reduction of energy cost than any other production inputs.","PeriodicalId":36956,"journal":{"name":"Journal of Optimization in Industrial Engineering","volume":"13 1","pages":"47-56"},"PeriodicalIF":0.0,"publicationDate":"2019-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48774781","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