Management and Production Engineering Review最新文献_第4页

Performance improvements in horizontally integrated production networks through real-time reschedulingin the event of disruptions 在发生中断的情况下，通过实时重新调度提高水平集成生产网络的性能

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/mper.2019.129596

Peter Burggraf, Johannes Wagne, Oliver Bischoff

{"title":"Performance improvements in horizontally integrated production networks through real-time reschedulingin the event of disruptions","authors":"Peter Burggraf, Johannes Wagne, Oliver Bischoff","doi":"10.24425/mper.2019.129596","DOIUrl":"https://doi.org/10.24425/mper.2019.129596","url":null,"abstract":"Received: 23 November 2018 Abstract Accepted: 13 August 2019 Rescheduling is a frequently used reactive strategy in order to limit the effects of disruptions on throughput times in multi-stage production processes. However, organizational deficits often cause delays in the information on disruptions, so rescheduling cannot limit disruption effects on throughput times optimally. Our approach strives for an investigation of possible performance improvements in multi-stage production processes enabled by realtime rescheduling in the event of disruptions. We developed a methodology whereby we could measure these possible performance improvements. For this purpose, we created and implemented a simulation model of a multi-stage production process. We defined system parameters and varied factors according to our experiment design, such as information delay, lot sizes and disruption durations. The simulation results were plotted and evaluated using DoE methodology. Dependent on the factor settings, we were able to prove large improvements by real-time rescheduling regarding the absorption of disruption effects in our experiments.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"1995 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135636043","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

Milk-run routing and scheduling subject to a trade-off between vehicle fleet size and storage capacity 牛奶运输路线和调度受制于车队规模和存储容量之间的权衡

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.12959

G. Bocewicz, W. Bożejko, R. Wójcik, Z. Banaszak

{"title":"Milk-run routing and scheduling subject to a trade-off between vehicle fleet size and storage capacity","authors":"G. Bocewicz, W. Bożejko, R. Wójcik, Z. Banaszak","doi":"10.24425/MPER.2019.12959","DOIUrl":"https://doi.org/10.24425/MPER.2019.12959","url":null,"abstract":"The objective of the milk-run design problem considered in this paper is to minimize trans- portation and inventory costs by manipulating ﬂeet size and the capacity of vehicles and storage areas. Just as in the case of an inventory routing problem, the goal is to ﬁnd a pe- riodic distribution policy with a plan on whom to serve, and how much to deliver by what ﬂeet of tugger trains travelling regularly on which routes. This problem boils down to de- termining the trade-oﬀ between ﬂeet size and storage capacity, i.e. the size of replenishment batches that can minimize ﬂeet size and storage capacity. A solution obtained in the declar- ative model of the milk-run system under discussion allows to determine the routes for each tugger train and the associated delivery times. In this context, the main contribution of the present study is the identiﬁcation of the relationship between takt time and the size of replenishment batches, which allows to determine the delivery time windows for milk- run delivery and, ultimately, the positioning of trade-oﬀ points. The results show that this relationship is non-linear.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68950988","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

Demand driven material requirements planning. Some methodical and practical comments 需求驱动的物料需求计划。一些有条理和实用的评论

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/mper.2019.129568

M. Pekarcikova, P. Trebuna, M. Kliment, J. Trojan

引用次数: 20

Lean School: a learning factory for training lean manufacturing in a physical simulation environment 精益学校:在物理模拟环境中培训精益生产的学习型工厂

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/mper.2019.128239

Jose Pascual Ruano, Ignacio Hoyuelos, Manuel Mateo, Angel M. Gento

{"title":"Lean School: a learning factory for training lean manufacturing in a physical simulation environment","authors":"Jose Pascual Ruano, Ignacio Hoyuelos, Manuel Mateo, Angel M. Gento","doi":"10.24425/mper.2019.128239","DOIUrl":"https://doi.org/10.24425/mper.2019.128239","url":null,"abstract":"Received: 8 January 2019 Abstract Accepted: 13 March 2019 This paper introduces the Lean School, a Learning Factory, along with a “game” of physical simulation that is developed in it. All this is focused on teaching-learning, both of students and professionals, of the potential advantages offered by the implementation of the Lean Production in the organizations. The participants gain a practical experience, based on experimental learning, which gives them a better understanding of the principles and tools of Lean philosophy. This physical environment is not limited to theoretical teaching, but goes beyond and implements a production system near a real one. It starts from a configuration of a production plant with an unbalanced system and throughout the different iterations, called productions, introduces and implement the Lean principles, which makes its participants acquire not only knowledge but also the skills needed to implement an efficient production in their organizations. All the constituent elements of the system will be described briefly: the product, the variations thereof, the initial design with its layout, as well as the subsequent productions, and the results of learning of each one.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"9 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135544912","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: 6

142402 142402

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/mper.2022.142402

引用次数: 0

Lean principles for organizing items in an automated storage and retrieval system:an association rule mining – based approach 在自动存储和检索系统中组织项目的精益原则:一种基于关联规则挖掘的方法

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.128241

M. Bevilacqua, F. Ciarapica, S. Antomarioni

{"title":"Lean principles for organizing items in an automated storage and retrieval system:an association rule mining – based approach","authors":"M. Bevilacqua, F. Ciarapica, S. Antomarioni","doi":"10.24425/MPER.2019.128241","DOIUrl":"https://doi.org/10.24425/MPER.2019.128241","url":null,"abstract":"Received: 8 January 2019 Abstract Accepted: 7 March 2019 The application of the 5S methodology to warehouse management represents an important step for all manufacturing companies, especially for managing products that consist of a large number of components. Moreover, from a lean production point of view, inventory management requires a reduction in inventory wastes in terms of costs, quantities and time of non-added value tasks. Moving towards an Industry 4.0 environment, a deeper understanding of data provided by production processes and supply chain operations is needed: the application of Data Mining techniques can provide valuable support in such an objective. In this context, a procedure aiming at reducing the number and the duration of picking processes in an Automated Storage and Retrieval System. Association Rule Mining is applied for reducing time wasted during the storage and retrieval activities of components and finished products, pursuing the space and material management philosophy expressed by the 5S methodology. The first step of the proposed procedure requires the evaluation of the picking frequency for each component. Historical data are analyzed to extract the association rules describing the sets of components frequently belonging to the same order. Then, the allocation of items in the Automated Storage and Retrieval System is performed considering (a) the association degree, i.e., the confidence of the rule, between the components under analysis and (b) the spatial availability. The main contribution of this work is the development of a versatile procedure for eliminating time waste in the picking processes from an AS/RS. A real-life example of a manufacturing company is also presented to explain the proposed procedure, as well as further research development worthy of investigation.","PeriodicalId":45454,"journal":{"name":"Management and Production Engineering Review","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68950420","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: 17

Planning and Scheduling of Production System in Conditioning Line: Industrial Application, Optimizationand Simulation Approach 空调生产线生产系统计划与调度:工业应用、优化与仿真方法

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.131440

Zineb Ibn Majdoub Hassani, A. E. Barkany, I. E. Abbassi, A. Jabri, A. Darcherif

引用次数: 3

142404 142404

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/mper.2022.142404

引用次数: 0

A customized root cause analysis approach for cost overruns and schedule slippage in paper-machine-building projects 为纸机制造项目的成本超支和进度延误提供定制的根本原因分析方法

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.129571

Maha Aikhatib, S. Altarazi

引用次数: 2

Lean implementation in Indian manufacturing MSMES: a SAP-LAP analysis 精益在印度制造业中小微企业的实施:一个SAP-LAP分析

IF 1.4

Management and Production Engineering Review Pub Date : 2023-11-06 DOI: 10.24425/MPER.2019.128245

M. Matharu, Neena Sinha

引用次数: 5