European J. of Industrial Engineering最新文献_第3页

Economic order quantity models for the shipment containing defective items with inspection errors and a sub-lot inspection policy 包含有检验错误和分批检验政策的有缺陷物品的装运的经济订单数量模型

European J. of Industrial Engineering Pub Date : 2020-02-10 DOI: 10.1504/ejie.2020.10026811

H. Öztürk

{"title":"Economic order quantity models for the shipment containing defective items with inspection errors and a sub-lot inspection policy","authors":"H. Öztürk","doi":"10.1504/ejie.2020.10026811","DOIUrl":"https://doi.org/10.1504/ejie.2020.10026811","url":null,"abstract":"This paper assumes that there may be some defective items in the various lots of an ordered shipment and chooses a sub-lot inspection policy. Another assumption that this paper makes is that a shipment is sent by a distant supplier and, therefore, the replacement of the defective items is not economical if an additional order is given to the same supplier. This paper incorporates misclassification errors, which are of two types: type 1 and type 2. In order to deal with the received defective items in the shipment, two cases are discussed in this study. The first case is to send them back to the repair shop to be reworked, whereas in the second case, those defective items are sold and replaced with perfect items by buying at a higher cost from a local supplier. For each case, a mathematical model is developed, and an example is solved. The results show a close connection between the optimal order size and sample size, which can be adjusted to maximise the total profit. The results also indicate that the local purchase of replacements for defective items tends to produce greater total profit than reworking them. [Received: 26 June 2018; Accepted: 17 May 2019]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123418089","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: 8

Establishing call-centre staffing levels using aggregate planning and simulation approach 使用综合规划和模拟方法建立呼叫中心的人员配备水平

European J. of Industrial Engineering Pub Date : 2020-02-07 DOI: 10.1504/ejie.2020.10025693

Rodrigo Barbosa Correa, A. Mercado, María Jubiz Diaz, Ricardo R. Ramos

引用次数: 1

Characterisation and optimal design of a new double sampling c chart 新型双采样c图的表征与优化设计

European J. of Industrial Engineering Pub Date : 2019-12-27 DOI: 10.1504/ejie.2019.104312

Manuel J. Campuzano, A. Carrión, Jaime Mosquera

引用次数: 1

Prioritization and Assessment of leagile manufacturing enablers using Interpretive Structural Modeling (ISM) approach 使用解释结构建模(ISM)方法对敏捷制造推动者进行优先级排序和评估

European J. of Industrial Engineering Pub Date : 2019-12-27 DOI: 10.1504/EJIE.2019.10021944

Naveen Virmani, Vikram Sharma

引用次数: 3

Modelling and optimising the multi-item stochastic joint replenishment problem with uncertain lead-time and controllable major ordering cost 交期不确定、主订货成本可控的多产品随机联合补货问题建模与优化

European J. of Industrial Engineering Pub Date : 2019-12-27 DOI: 10.1504/ejie.2019.104280

Xue-Yi Ai, Jin Long Zhang, D. Song, Lin Wang

{"title":"Modelling and optimising the multi-item stochastic joint replenishment problem with uncertain lead-time and controllable major ordering cost","authors":"Xue-Yi Ai, Jin Long Zhang, D. Song, Lin Wang","doi":"10.1504/ejie.2019.104280","DOIUrl":"https://doi.org/10.1504/ejie.2019.104280","url":null,"abstract":"In this paper, we extend the existing stochastic joint replenishment model to a more realistic condition by considering uncertainties in lead-time and effective investment to reduce the major ordering cost. The aim is to determine the optimal strict cyclic replenishment policy and the optimal major ordering cost simultaneously to minimise the total cost. The objective cost function is approximated by expressing one element of the cost function as a Taylor series expansion. A bounds-based heuristic algorithm is then developed to solve the proposed model. The performance of the algorithm and the quality of the approximation are examined by computational experiments. The results of the models without considering uncertainty and ordering cost reduction are presented to illustrate the effectiveness of the proposed model. Experimentation and analysis of results demonstrate that the standard deviation of lead-time has a significant effect on the system. [Received: 21 December, 2016; Revised: 29 July 2017; Revised: 29 December 2017; Revised: 30 September 2018; Revised: 17 November 2018; Accepted: 26 January 2019]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128668666","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

Compromised supply chain planning under dominant systems with inventory policies and cost uncertainty 具有库存政策和成本不确定性的优势系统下的妥协供应链规划

European J. of Industrial Engineering Pub Date : 2019-12-27 DOI: 10.1504/ejie.2019.10026000

Chatdanai Kaorapapong, P. Yenradee

引用次数: 1

Investigating the performance improvement by conversion of assembly line configuration to a pure cell system in manufacturing industry 探讨制造业装配线结构转换为纯细胞系统后的性能改善

European J. of Industrial Engineering Pub Date : 2019-12-27 DOI: 10.1504/ejie.2019.10026070

T. V. Deepthi, K. Ramakotaiah, V. Manupati, Chaitanya Gangal

{"title":"Investigating the performance improvement by conversion of assembly line configuration to a pure cell system in manufacturing industry","authors":"T. V. Deepthi, K. Ramakotaiah, V. Manupati, Chaitanya Gangal","doi":"10.1504/ejie.2019.10026070","DOIUrl":"https://doi.org/10.1504/ejie.2019.10026070","url":null,"abstract":"Seru production systems implement reconfiguration of traditional assembly lines to a flexible cell system that aim at reducing the required workforce while at the same time augmenting the productivity manifold. For evaluating the overall performance improvement, cell formatting and assigning workers to serus takes form of a complicated decision problem. In this paper, with the objective of reducing the total cost for training the worker, minimising the processing time and the total throughput time, mathematical insights on the solution space of a multi-objective line-cell conversion model are identified, in turn proving it to be an NP-hard model. By applying the proposed heuristic algorithm on several numerical simulations, a Pareto-optimal solution of this multi-objective model is obtained. With experimental results and comparative studies, the proposed approach proves its effectiveness that may lead to further improvement in seru production systems competitive advantage to cope with fluctuating market demands by enhancing the flexibility as well as the efficiency of the system. [Submitted: 18 June 2016; Revised 29: August 2017; Revised: 25 August 2018; Revised: 5 December 2018; Accepted: 8 January 2019]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"26 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131805503","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 novel hierarchical approach for a heterogeneous 3D pallet loading problem subject to factual loading and delivery constraints 一种新的分层方法对异构三维托盘装载问题受到实际装载和交付约束

European J. of Industrial Engineering Pub Date : 2019-08-02 DOI: 10.1504/EJIE.2019.10022888

S. Kır, Harun Resit Yazgan

引用次数: 2

Humanitarian supply chain network design using data envelopment analysis and multi-objective programming models 基于数据包络分析和多目标规划模型的人道主义供应链网络设计

European J. of Industrial Engineering Pub Date : 2019-08-02 DOI: 10.1504/ejie.2019.102158

Jae-Dong Hong, Ki-Young Jeong

{"title":"Humanitarian supply chain network design using data envelopment analysis and multi-objective programming models","authors":"Jae-Dong Hong, Ki-Young Jeong","doi":"10.1504/ejie.2019.102158","DOIUrl":"https://doi.org/10.1504/ejie.2019.102158","url":null,"abstract":"Emergency events such as natural disasters or terrorist attacks seem to occur anywhere and tend to increase. This paper studies a humanitarian supply chain network (HTSCN) design problem in a pre-disaster scenario, which consists of finding the optimal emergency response facility (ERF) locations and allocation scheme of humanitarian supplies through ERFs, where all ERFs are under the risk of disruptions. Naturally, this type of design problem should deal with multiple goals. An innovative two-step framework of designing efficient HTSCN by combining multi-objective programming (MOP) models with data envelopment analysis (DEA) is proposed. A case study using the historical data on the disasters in South Carolina, USA is presented to illustrate the effectiveness and efficiency of the proposed combining framework. The case study demonstrates that the proposed procedure would help practitioners and researchers generate a finer evaluation of efficiency and would provide a benchmarking methodology for designing HTSCN system. [Received: 22 October 2017; Revised: 9 April 2018; Revised: 15 October 2018; Revised: 22 December 2018; Accepted: 26 January 2019]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124009631","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 dominance-based heuristic to minimise completion time variance in a single machine system 在单个机器系统中最小化完工时间方差的一种基于优势的启发式算法

European J. of Industrial Engineering Pub Date : 2019-08-02 DOI: 10.1504/EJIE.2019.10022896

H. Soroush, F. Almathkour

引用次数: 0