European J. of Industrial Engineering最新文献_第2页

A stochastic queueing - inventory system with renewal demands and positive lead time 具有更新需求和正交货期的随机排队库存系统

European J. of Industrial Engineering Pub Date : 2020-07-08 DOI: 10.1504/ejie.2020.10029435

M. Keerthana, N. Saranya, B. Sivakumar

引用次数: 11

A Bayesian Networks Approach to Fleet Availability Analysis Considering Managerial and Complex Causal Factors 考虑管理因素和复杂原因的车队可用性分析贝叶斯网络方法

European J. of Industrial Engineering Pub Date : 2020-06-01 DOI: 10.1504/ejie.2020.10029681

A. Abdi, S. Taghipour

{"title":"A Bayesian Networks Approach to Fleet Availability Analysis Considering Managerial and Complex Causal Factors","authors":"A. Abdi, S. Taghipour","doi":"10.1504/ejie.2020.10029681","DOIUrl":"https://doi.org/10.1504/ejie.2020.10029681","url":null,"abstract":"Availability analysis of a fleet of assets requires modelling uncertainty sources that affect equipment reliability and maintainability. These uncertainties include complex, managerial causalities and risks which have been seldom examined in the asset management literature. The objective of this study is to measure the reliability, maintainability and availability of a fleet, considering the effect of common causal factors and extremely rare or previously unobserved events. We develop a fully probabilistic availability analysis model using hybrid Bayesian networks (BNs), to capture managerial, organisational and environmental causal factors that influence failure or repair rate, as well as those that affect both failure and repair rates simultaneously. The proposed methodology has been found more accurate in forecasting failure rate, repair rate, and average availability level of a fleet of assets, providing asset managers with an inference mechanism to not only measure the performance of the assets based on common causal factors, but also learn the actual level of such factors and thereby identify improvement areas. We have demonstrated the application of the model using a fleet of excavators located in Toronto, Ontario. The prediction accuracy of the proposed model is evaluated by use of a measure of prediction error. [Received: 19 March 2019; Accepted: 3 September 2019]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117027333","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 robust stochastic bi-objective model for blood inventory-distribution management in a blood supply chain 血液供应链中血液库存分配管理的鲁棒随机双目标模型

European J. of Industrial Engineering Pub Date : 2020-06-01 DOI: 10.1504/ejie.2020.10029777

Hadis Derikvand, Seyed Mohammad Hajimolana, A. Jabbarzadeh, S. Najafi

{"title":"A robust stochastic bi-objective model for blood inventory-distribution management in a blood supply chain","authors":"Hadis Derikvand, Seyed Mohammad Hajimolana, A. Jabbarzadeh, S. Najafi","doi":"10.1504/ejie.2020.10029777","DOIUrl":"https://doi.org/10.1504/ejie.2020.10029777","url":null,"abstract":"Providing blood units in a blood supply chain should be effective, appropriate and well-organised since it directly affects the health of individuals, and if not provided promptly, can even lead to the death of patients. This study presents a robust stochastic bi-objective programming model for an inventory-distribution problem in a blood supply chain, the first objective of which attempts to minimise the total number of shortages and wastages and the second objective maximises the connection between two different types of hospitals. The blood supply chain under investigation includes one blood centre, type-1 and type-2 hospitals and patients. Mathematical approximations are employed to remove the nonlinear terms, and a hybrid solution approach, combining the e-constraint and the Lagrangian relaxation method, is applied to solve the proposed bi-objective model. Finally, the model is implemented and analysed using the data inspired by a real case study in Iran to show its potential applicability [Received: 24 September 2018; Revised: 15 June 2019; Revised: 1 September 2019; Accepted: 1 September 2019]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132776840","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

A multi-criteria spatial analysis using GIS to evaluate potential sites for a new border gate on Turkey's Syria frontier 使用GIS进行多标准空间分析，以评估土耳其叙利亚边境新边境大门的潜在地点

European J. of Industrial Engineering Pub Date : 2020-06-01 DOI: 10.1504/ejie.2020.10029776

M. Kabak, Eren Özceylan, Mehmet Erbaş, Cihan Çetinkaya

引用次数: 1

Multi-type electric vehicle relocation problem considering required battery-charging time 考虑所需电池充电时间的多类型电动车搬迁问题

European J. of Industrial Engineering Pub Date : 2020-06-01 DOI: 10.1504/ejie.2020.10029682

Ivan Kristianto Singgih, Byung-In Kim

引用次数: 2

A resource allocation model to choose the best portfolio of economic resilience plans: a possibilistic stochastic programming model 选择最佳经济弹性计划组合的资源分配模型:可能性随机规划模型

European J. of Industrial Engineering Pub Date : 2020-06-01 DOI: 10.1504/ejie.2020.10029775

S. Pashapour, A. Azadeh, A. Bozorgi-Amiri, A. Keramati, S. Ghaderi

{"title":"A resource allocation model to choose the best portfolio of economic resilience plans: a possibilistic stochastic programming model","authors":"S. Pashapour, A. Azadeh, A. Bozorgi-Amiri, A. Keramati, S. Ghaderi","doi":"10.1504/ejie.2020.10029775","DOIUrl":"https://doi.org/10.1504/ejie.2020.10029775","url":null,"abstract":"Economic resilience is defined as a tool capable of reducing the losses caused by disasters. It can be defined in two major concepts. Static economic resilience is the effective allocation of available resources and dynamic economic resilience refers to accelerating the recovery process through the repair and rebuilding of the capital stock. In this research, the performance of a petrochemical plant in the face of crisis is investigated. For this, a bi-objective mathematical model that considers cost and resilience capability as objective functions is developed to choose the best portfolio of static and dynamic plans. To solve the mathematical model, a weighted augmented e-constraint method and a multi-stage possibilistic stochastic programming (MSPSP) approach are employed. The numerical results showed that the proposed approach is effective in optimising the performance of a petrochemical plant in facing crisis situations and in choosing the best portfolio of economic resilience plans. [Received: 11 January 2019; Revised: 9 July 2019; Revised: 13 August 2019; Accepted: 13 August 2019]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133599927","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

Buffer allocation, equipment selection and line balancing optimisation in unreliable production lines 对不可靠生产线进行缓冲分配、设备选择和生产线平衡优化

European J. of Industrial Engineering Pub Date : 2020-02-27 DOI: 10.1504/ejie.2020.10027218

N. Nahas

{"title":"Buffer allocation, equipment selection and line balancing optimisation in unreliable production lines","authors":"N. Nahas","doi":"10.1504/ejie.2020.10027218","DOIUrl":"https://doi.org/10.1504/ejie.2020.10027218","url":null,"abstract":"This paper presents an integrated optimisation model to simultaneously solve buffer allocation, equipment selection and line balancing problems in unreliable production line systems. The considered unreliable serial production line consists of m workstations and m − 1 intermediate buffers. The objective is to maximise the system throughput level. A decomposition method is used to estimate the production line throughput. The decision variables in the formulated optimal design problem are buffer levels, types of equipment and the sets of tasks assigned to the workstations. An efficient algorithm, based on the nonlinear threshold accepting algorithm (NLTA) is proposed to solve this problem. The efficiency of the proposed approach is compared to existing algorithms and first tested on a simple assembly line balancing type-2 problem (SALB-2). Here the objective is to minimise the cycle time with a fixed number of workstations. In the second numerical experiment, the integrated model is solved using the NLTA, and its performance is compared to that of the great deluge algorithm (GDA) through several numerical examples. [Received: 9 June 2018; Revised: 15 September 2018; Revised: 18 April 2019; Accepted: 2 August 2019]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126632671","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

Evaluation of the effectiveness of methods and criteria for product classification in the warehouse 评估仓库产品分类方法和标准的有效性

European J. of Industrial Engineering Pub Date : 2020-02-27 DOI: 10.1504/ejie.2020.10027213

A. Lorenc, M. Szkoda, A. Szarata, I. Jacyna-Gołda

引用次数: 1

Multi-objective invasive weeds optimisation algorithm for solving simultaneous scheduling of machines and multi-mode automated guided vehicles 求解机器与多模式自动导引车同时调度的多目标入侵杂草优化算法

European J. of Industrial Engineering Pub Date : 2020-02-27 DOI: 10.1504/ejie.2020.10027216

Hojat Nabovati, H. Haleh, B. Vahdani

{"title":"Multi-objective invasive weeds optimisation algorithm for solving simultaneous scheduling of machines and multi-mode automated guided vehicles","authors":"Hojat Nabovati, H. Haleh, B. Vahdani","doi":"10.1504/ejie.2020.10027216","DOIUrl":"https://doi.org/10.1504/ejie.2020.10027216","url":null,"abstract":"In this paper, a novel model is presented for machines and automated guided vehicles' simultaneous scheduling, which addresses an extension of the blocking job shop scheduling problem, considering the transferring of jobs between different machines using a limited number of multi-mode automated guided vehicles. Since the model is strictly NP-hard, and because objectives contradict each other, a meta-heuristic algorithm called 'multi-objective invasive weeds optimisation algorithm' with a new chromosome structure which guarantees the feasibility of solutions is developed to solve the proposed problem. Two other meta-heuristic algorithms namely 'non-dominated sorting genetic algorithm' and 'multi-objective particle swarm optimisation algorithm' are applied to validate the solutions obtained by the developed multi-objective invasive weeds optimisation algorithm. A certain method was applied to select the algorithm with the best performance. The result of ranking the algorithms indicated that the developed multi-objective invasive weeds optimisation algorithm had the best performance in terms of solving the mentioned problems. [Received: 7 January 2017; Revised: 30 December 2017; Revised: 17 August 2018; Revised: 22 January 2019; Accepted: 26 July 2019]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"232 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131988902","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

Joint ordering policy for a conditional trade credit model with two retailers 有两个零售商的有条件贸易信用模型的联合订购策略

European J. of Industrial Engineering Pub Date : 2020-02-22 DOI: 10.22541/au.158240027.70198817

Zhen Zhang, Songtao Zhang, M. Yue

{"title":"Joint ordering policy for a conditional trade credit model with two retailers","authors":"Zhen Zhang, Songtao Zhang, M. Yue","doi":"10.22541/au.158240027.70198817","DOIUrl":"https://doi.org/10.22541/au.158240027.70198817","url":null,"abstract":"This paper focuses on the cooperation mechanism between two retailers. To reduce the average processing cost, the supplier usually sets a threshold for trade credit to stimulate retailers' orders. Retailers can enjoy permissible delay in payments only when their order quantities are more than or equal to the given threshold. However, considering the diversity of retailers, the motivation effect of the threshold may be limited. To resolve the problem, the supplier can additionally provide retailers with a joint ordering policy under which two retailers can make delayed payments as long as their total order quantity meets the required threshold. Thus, the two retailers should decide whether to place a joint order or not and determine their respective order quantities simultaneously. We provide a mutually acceptable order-allocation scheme for retailers, and determine the optimal payment methods for them. In addition, an optimal threshold is identified for the supplier to maximize the total order quantity of retailers. Based on this, some managerial insights are obtained. A numerical experiment is performed to illustrate the validity of the model.","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"33 7-8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116470662","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