European Journal of Industrial Engineering最新文献_第7页

Solution approaches to the blood distribution problem of the Turkish Red Crescent 解决土耳其红新月会血液分配问题的办法

IF 1 4区工程技术

European Journal of Industrial Engineering Pub Date : 2018-05-25 DOI: 10.1504/EJIE.2018.092008

Atıl Kurt, M. Azizoglu, F. C. Çetinkaya

引用次数: 1

LP-based working subsets for personnel scheduling: Evaluation and augmentation 基于LP的人员调度工作子集：评估和扩充

IF 1 4区工程技术

European Journal of Industrial Engineering Pub Date : 2018-03-26 DOI: 10.1504/EJIE.2018.090614

M. Brusco, T. R. Johns, R. Venkataraman

{"title":"LP-based working subsets for personnel scheduling: Evaluation and augmentation","authors":"M. Brusco, T. R. Johns, R. Venkataraman","doi":"10.1504/EJIE.2018.090614","DOIUrl":"https://doi.org/10.1504/EJIE.2018.090614","url":null,"abstract":"This paper evaluates the efficacy of LP-based working subsets for generalised set-covering formulations of personnel scheduling problems and presents a nearest-neighbour augmentation procedure for improving performance. Three experimental studies were completed in the evaluation process. In the first study, the LP-based working subset was sufficient to yield an optimal shift scheduling solution for 85% of the 24,300 test problems and the nearest-neighbour augmentation improved the percentage of optimal solutions to over 98%. The second study focused on more complex cyclic shift scheduling environments that permitted shift length, meal break and relief break flexibility. The adequacy of LP-based working subsets was supported by the provision of optimal shift scheduling solutions for 185 of 189 (98%) of the test problems. The third study examined a challenging tour scheduling environment for which globally-optimal benchmarks are not available. The superiority of the augmented LP-based working subset procedure was nevertheless evident, as it yielded better results than the (non-augmented) LP-based working subset for 92% of the test problems despite being constrained to only 40% of the allowed computation time for the non-augmented subsets. [Received 24 April 2017; Revised 25 August 2017; Revised 17 September 2017; Accepted 6 December 2017]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.090614","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47244604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Meta-prediction model for introducing lateral transshipment policies in a retail supply chain network through regression analysis 基于回归分析的零售供应链网络中引入横向转运政策的元预测模型

IF 1 4区工程技术

European Journal of Industrial Engineering Pub Date : 2018-03-26 DOI: 10.1504/EJIE.2018.090615

K. Cha-ume, N. Chiadamrong

{"title":"Meta-prediction model for introducing lateral transshipment policies in a retail supply chain network through regression analysis","authors":"K. Cha-ume, N. Chiadamrong","doi":"10.1504/EJIE.2018.090615","DOIUrl":"https://doi.org/10.1504/EJIE.2018.090615","url":null,"abstract":"This study finds a way to alleviate and predict the effects of uncertainty in a retail supply chain network through lateral transshipment policies. The study develops a simulation-based optimisation model using the ARENA and OptQuest optimisation tool, and proposes an improved application of the lateral transshipment policy, in addition to four existing policies, to solve such uncertainty. A series of experiments is performed, varying significant cost parameters to study their effects on the profit of the whole chain. In order to determine the best transshipment policy and predict its financial performance, a proposed meta-prediction model based on regression analysis is used to assist in making decisions on the implementation of different types of transshipment policies under various cost scenarios. The proposed methodology assists in decision making on the selection and management of a lateral transshipment policy for a retail supply chain network in a certain situation under an uncertain environment. [Received 20 March 2016; Revised 8 September 2016; Revised 7 December 2017; Accepted 13 December 2017]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.090615","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47130461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Engineering characteristics prioritisation in QFD using ordinal scales: a robustness analysis QFD中使用有序量表的工程特征优先级：稳健性分析

IF 1 4区工程技术

European Journal of Industrial Engineering Pub Date : 2018-03-26 DOI: 10.1504/EJIE.2018.090617

M. Galetto, F. Franceschini, D. Maisano, L. Mastrogiacomo

{"title":"Engineering characteristics prioritisation in QFD using ordinal scales: a robustness analysis","authors":"M. Galetto, F. Franceschini, D. Maisano, L. Mastrogiacomo","doi":"10.1504/EJIE.2018.090617","DOIUrl":"https://doi.org/10.1504/EJIE.2018.090617","url":null,"abstract":"Quality function deployment (QFD) is a management tool used for the design of new products/services and the related production/supply processes. One of the goals of the method is to translate the customer requirements (CRs) into measurable engineering characteristics (ECs) of the new product/service and prioritise them, basing on their relationships with CRs and the related importances. To this purpose, the current scientific literature encompasses several alternative approaches (the most used is the independent scoring method – ISM), in most of which cardinal properties are arbitrarily attributed to data collected on ordinal scales. This paper describes and discusses a new approach based on ME-MCDM (multi expert/multiple criteria decision making) techniques, which do not require any debatable ordinal to cardinal conversion. The theoretical principles and the robustness of the method are presented and tested through some application examples related to a well-known case study reported in the scientific literature. [Received 5 May 2015; Revised 7 November 2017; Accepted 9 November 2017]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.090617","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42809734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Solution for bi-objective single row facility layout problem using artificial bee colony algorithm 用人工蜂群算法求解双目标单行设施布局问题

IF 1 4区工程技术

European Journal of Industrial Engineering Pub Date : 2018-03-26 DOI: 10.1504/EJIE.2018.090619

L. Nagarajan, S. Mahalingam, Selvakumar Gurusamy, V. Dharmaraj

引用次数: 8

Minimising tardiness in hybrid two-stage batch scheduling problem in cyber-physical systems 网络物理系统混合两阶段批调度问题中的延迟最小化

IF 1 4区工程技术

European Journal of Industrial Engineering Pub Date : 2018-03-26 DOI: 10.1504/EJIE.2018.090622

Changchun Liu, Qiang Wang, Xi Xiang, Li Zheng

引用次数: 1

Optimisation of inspection policy for multi-line production systems 优化多线生产系统的检验政策

IF 1 4区工程技术

European Journal of Industrial Engineering Pub Date : 2018-03-26 DOI: 10.1504/EJIE.2018.090616

F. Zahedi-Hosseini, A. Syntetos, P. Scarf

引用次数: 4

Complexity in manufacturing systems and its measures: a literature review 制造系统的复杂性及其测度：文献综述

IF 1 4区工程技术

European Journal of Industrial Engineering Pub Date : 2018-02-19 DOI: 10.1504/EJIE.2018.089883

Bugra Alkan, D. Vera, Mussawar Ahmad, B. Ahmad, R. Harrison

{"title":"Complexity in manufacturing systems and its measures: a literature review","authors":"Bugra Alkan, D. Vera, Mussawar Ahmad, B. Ahmad, R. Harrison","doi":"10.1504/EJIE.2018.089883","DOIUrl":"https://doi.org/10.1504/EJIE.2018.089883","url":null,"abstract":"Complexity in manufacturing systems still remains a challenge and leads to operational issues and increased production cost. In this paper, drivers of complexity and typical symptoms of complex manufacturing systems are identified. A comprehensive review of studies published within the last two decades to assess manufacturing system complexity are presented. The key contributions of this review are: 1) a classification of complexity assessment methods based on perceived complexity symptoms; 2) a comprehensive review of assessment methods with cross-evaluation to identify appropriate use based on available data; 3) recommendations for the wider academic and industrial community, based on research trends identified in the literature, as to how complexity assessment should be addressed in the future. It is concluded that the assessment of complexity is necessary so that it can be controlled effectively, however the industry suffers from a lack of practical tools to support in this endeavour. [Received 23 December 2016; Revised 18 August, 14 October 2017; Accepted 22 October, 2017]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.089883","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49286637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 38

Development of a knowledge-based intelligent decision support system for operational risk management of global supply chains 基于知识的全球供应链操作风险管理智能决策支持系统的开发

IF 1 4区工程技术

European Journal of Industrial Engineering Pub Date : 2018-02-19 DOI: 10.1504/EJIE.2018.089878

Yang-Byung Park, Sung-Joon Yoon, Jun-Su Yoo

{"title":"Development of a knowledge-based intelligent decision support system for operational risk management of global supply chains","authors":"Yang-Byung Park, Sung-Joon Yoon, Jun-Su Yoo","doi":"10.1504/EJIE.2018.089878","DOIUrl":"https://doi.org/10.1504/EJIE.2018.089878","url":null,"abstract":"This paper proposes a knowledge-based intelligent decision support system for operational risk management of global supply chains (DSSRMG), a full-phase system not yet treated in the literature. DSSRMG predicts the supply chain performance using the enhanced artificial neural network combined with particle swarm optimisation, infers the core risk source using a method based on principle component analysis, and evaluates risk mitigation alternatives using the digraph-matrix approach combined with principle component analysis. A methodology using an adaptive-network-based fuzzy inference system is suggested to construct the knowledge base for mitigation alternatives. An industrial example is used to illustrate the performance of DSSRMG. Computational experiments show that the techniques used for DSSRMG are excellent. Especially, the algorithm for selecting the useful operation indicators improves the performance prediction accuracy by 7.1% on average. DSSRMG provides supply chain managers with a practical tool to accurately predict and effectively control the operational risk. [Received: 9 March 2017; Revised: 22 July 2017; Accepted: 2 October 2017]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.089878","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44021359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Solution algorithms to minimise the total family tardiness for job shop scheduling with job families 具有作业族的作业车间调度中最小化总作业族延迟的求解算法

IF 1 4区工程技术

European Journal of Industrial Engineering Pub Date : 2018-02-19 DOI: 10.1504/EJIE.2018.089876

Jae-Min Yu, Dong Ho Lee

引用次数: 5