具有顺序相关设置时间的柔性作业车间中,路由灵活性对订单释放策略性能的影响:仿真研究

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES Smart Science Pub Date : 2022-02-20 DOI:10.1080/23080477.2022.2040205
S. Padma Rani, Ajai Kumar Jain, Surjit Angra
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引用次数: 1

摘要

考虑序列相关设置时间(SDST)的柔性车间中的订单评审和发布(ORR)是一个复杂的车间问题。路由灵活性通过提供作业的替代路由,有助于提高系统的灵活性。本研究评估了在随机和动态(SCDM)制造环境中,考虑SDST的柔性车间中,路由灵活性对订单发布策略的影响。在本研究中,采用计划发布日期排序规则考虑了五种订单发布策略,即校正的聚合负载方法(CALA)、聚合工作量触发器(AGGWLT)、校正的工作量触发器(CorrWLT)、工作中心工作量触发器(WCWLT)和兰开斯特大学管理学院校正的订单发布(LUMSCOR)。在目前的研究工作中,考虑了四个性能指标,即平均吞吐量时间、平均交付周期、平均延迟和总设置。出于实验目的,在Promodel®软件的帮助下,开发了一个具有六个路由灵活性级别的模拟模型。结果表明,所有ORR策略的性能都可以通过同时考虑路由灵活性来提高。对于给定的ORR策略,随着路由灵活性的增加,系统性能指标会降低到一定程度,然后开始增加。因此,路由灵活性具有最佳水平。所有ORR策略的工作负载触发级别的最小值为平均吞吐量时间性能度量提供了最佳结果。此外,随着工作负载触发级别的增加,除平均吞吐量时间外,其他三种性能度量都获得了最佳结果。图形摘要
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Effect of Routing Flexibility on the Performance of Order Release Policies in a Flexible Job Shop with Sequence-Dependent Setup Time: A Simulation Study
ABSTRACT Order review and release (ORR) in a flexible job shop considering sequence-dependent setup time (SDST) is a complicated job shop problem. Routing flexibility helps in increasing the flexibility of the system by providing alternative routes to jobs. This research work assesses the effect of routing flexibility on order release policies in a flexible job shop considering SDST within a stochastic and dynamic (SCDM) manufacturing environment. In this study, five order release policies, viz., Corrected Aggregate Load Approach (CALA), Aggregate Workload Trigger (AGGWLT), Corrected Workload Trigger (CorrWLT), Work Center Workload Trigger (WCWLT), and Lancaster University Management School Corrected Order Release (LUMSCOR), are considered with planned release date sequencing rule. Four performance measures are considered in the present research work, i.e., mean throughput time, mean lead time, mean tardiness, and total setups. For experimental purposes, a simulation model is developed with six routing flexibility levels with the help of Promodel® software. Results indicate that the performance of all ORR policies can be improved by considering routing flexibility along with it. For a given ORR policy, as routing flexibility increases, there is a decrease in system performance measures up to a certain level, and after that, it starts increasing. Thus, routing flexibility has an optimum level. The least value of workload trigger level for all ORR policies provides the best results for mean throughput time performance measure. Further, as the workload trigger level increases, the best results are obtained for the other three performance measures except the mean throughput time. Graphical abstract
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来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
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