Defining requirements for integrating information between design, manufacturing, and inspection [0.03%]
确定设计、制造和检测之间集成信息的需求
T D Hedberg Jr,M E Sharp,T M M Maw et al.
T D Hedberg Jr et al.
Industry desires a digital thread of information that aligns as-designed, as-planned, as-executed, and as-inspected viewpoints. An experiment was conducted to test selected open data standards' ability to integrate the lifecycle stages of e...
Simultaneous allocation of buffer capacities and service times in unreliable production lines [0.03%]
不可靠生产线上缓冲区容量和服务时间的同时分配问题
Khelil Kassoul,Naoufel Cheikhrouhou,Nicolas Zufferey
Khelil Kassoul
Simultaneous allocation of service times and buffer capacities in manufacturing systems in a random environment is a NP-hard combinatorial optimisation problem. This paper presents a sophisticated simulation-based optimisation approach for ...
M E Sharp,T D Hedberg Jr,W Z Bernstein et al.
M E Sharp et al.
Engineering change is a significant cost sink in many projects. While avoiding and mitigating the risk of change is the ideal approach, mistakes and improvements are recognized inevitably as more is learned over time about the quality of th...
Enriching Analytics Models with Domain Knowledge for Smart Manufacturing Data Analysis [0.03%]
利用领域知识丰富智能制造数据的分析模型
Heng Zhang,Utpal Roy,Yung-Tsun Tina Lee
Heng Zhang
Today, data analytics plays an important role in Smart Manufacturing decision making. Domain knowledge is very important to support the development of analytics models. However, in today's data analytics projects, domain knowledge is only d...
Margaretha Gansterer,Richard F Hartl
Margaretha Gansterer
Collaborative operations planning is a key element of modern supply chains. We introduce the collaborative multi-level lot-sizing problem with cost synergies. This arises if producers can realise reductions of their costs by providing more ...
Multi-job production systems: definition, problems, and product-mix performance portrait of serial lines [0.03%]
多作业生产系统：定义、问题及串行线产品的混合性能分析
Pooya Alavian,Peter Denno,Semyon M Meerkov
Pooya Alavian
This paper pursues two goals: (a) Define a class of widely used in practice flexible manufacturing systems, referred to as Multi-Job Production (MJP) and formulate industrially motivated problems related to their performance. (b) Provide in...
Survey and Classification of Operational Control Problems in Discrete Event Logistics Systems (DELS) [0.03%]
离散事件物流系统中的运营控制问题的调查与分类
Timothy Sprock,Conrad Bock,Leon F McGinnis
Timothy Sprock
This paper reviews and classifies literature on operational control of discrete event logistics systems (DELS). Operational control manipulates the flow of items through a DELS. Each control problem addressed in the surveyed literature is c...
Reducing Energy Consumption in Serial Production Lines with Bernoulli Reliability Machines [0.03%]
具有伯努利可靠性的机器的串行生产线上节能研究
Wen Su,Xiaolei Xie,Jingshan Li et al.
Wen Su et al.
In this paper, an integrated model to minimize energy consumption while maintaining desired productivity in Bernoulli serial lines is introduced. Exact analysis of optimal allocation of production capacity is carried out for small systems, ...
A Hierarchical structure of key performance indicators for operation management and continuous improvement in production systems [0.03%]
生产系统运营管理及持续改进的KPI分层架构法研究
Ningxuan Kang,Cong Zhao,Jingshan Li et al.
Ningxuan Kang et al.
Key performance indicators (KPIs) are critical for manufacturing operation management and continuous improvement (CI). In modern manufacturing systems, KPIs are defined as a set of metrics to reflect operation performance, such as efficienc...
Identified research directions for using manufacturing knowledge earlier in the product lifecycle [0.03%]
产品生命周期早期应用制造知识的研究方向探讨
Thomas D Hedberg Jr,Nathan W Hartman,Phil Rosche et al.
Thomas D Hedberg Jr et al.
Design for Manufacturing (DFM), especially the use of manufacturing knowledge to support design decisions, has received attention in the academic domain. However, industry practice has not been studied enough to provide solutions that are m...