Cellular manufacturing systems considering human characteristics

考虑人类特征的细胞制造系统

• 批准号: 227767-2006
• 负责人: Zolfaghari, Saeed
• 金额: $ 1.17万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=362148
• 关键词: Cellular; manufacturing; systems; considering; human

For more than three decades, group technology and cellular manufacturing have been considered as solutions to many manufacturing problems. Implementing cellular manufacturing has helped many organizations move toward lean manufacturing by reducing setups, material handling, work-in-process, and manufacturing lead times. These benefits are usually achieved by grouping parts and products with similar characteristics into families, and grouping dissimilar machines that share the process of part families into machine cells. One issue that is likely to be overlooked is the human aspects of the cellular manufacturing. Few studies have addressed the allocation of operators to cells by taking a sequential approach to this problem. That is, first part families and machine cells are formed. Then, operators are assigned to cells. This approach, however, may not fully address the problem, as many operators may be allocated to inappropriate cells where their skills are not fully utilized. Operators may have different skills and different preferences towards jobs. Also, their productivity depends on their experience on the job. Failure to consider these important elements will result in loss of motivation and interest for operators, and low productivity for the system. This research proposes a simultaneous approach that considers operators' skill match and their experience and preference while designing machine cells and part families. The proposed research will examine the existing performance measures in order to extend them to the multi-dimensional problem of interest. It will also revisit many existing machine cell/part family formation techniques to investigate their performance for the machine-part-operator grouping problem and will propose a generalized grouping problem with a wide range of applicability. Using the proposed performance models, the best grouping method will be selected.

三十多年来，成组技术和单元制造一直被认为是许多制造问题的解决方案。实施单元化制造已经帮助许多组织通过减少设置、材料处理、在制品和制造交付时间而转向精益制造。这些好处通常通过将具有相似特性的零件和产品分组到族中，并将共享零件族工艺的不同机器分组到机器单元中来实现。一个可能被忽视的问题是细胞制造的人性化方面。很少有研究已经解决了分配运营商的细胞采取顺序的方法来解决这个问题。也就是说，形成第一部件族和机器单元。然后，将运算符分配给单元格。然而，这种方法可能不能完全解决问题，因为许多操作员可能被分配到不适当的小区，在那里他们的技能没有得到充分利用。操作员可能有不同的技能和对工作的不同偏好。此外，他们的生产力取决于他们的工作经验。如果不考虑这些重要因素，将导致运营商失去动力和兴趣，并降低系统的生产率。本研究提出了一种同时考虑操作员的技能匹配和他们的经验和偏好，而设计的机器单元和零件族的方法。拟议的研究将检查现有的性能指标，以将其扩展到多维的问题的兴趣。它还将重新审视许多现有的机器单元/部分家庭的形成技术，以调查其性能的机器部分操作员分组问题，并将提出一个广义的分组问题，具有广泛的适用性。使用建议的性能模型，最好的分组方法将被选择。