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Multicompany Collaboration to Reduce Costs—Who, What, and How
Published in James B. Ayers, Mary Ann Odegaard, Retail Supply Chain Management, 2017
James B. Ayers, Mary Ann Odegaard
This category is more intense two-way collaboration. This collaboration is more likely to go on personally, by phone or face to face, rather than through message exchanges. An example is an effort in manufacturing to increase process yields. Small increases in first-pass yield bring outsized benefits in capacity and profit. Often, this requires collaboration between a supplier and its OEM customer. The collaboration should address root causes for yield losses, including too-tight specifications from the OEM. These can be caused by variations in processes such as those that are targets of Six Sigma initiatives described in Chapter 17.
Introduction
Published in Mark A. Nash, Sheila R. Poling, Sophronia Ward, Using Lean for Fast Six Sigma Results, 2019
Mark A. Nash, Sheila R. Poling, Sophronia Ward
In the improve phase, the team set up experiments to determine which factors (with several possible versions of each factor) had the greatest impact on the defect. The results of several experiments led to process changes that the team implemented. A pilot study of these changes indicated that the first pass yield was near 90 percent, a significant improvement over the original mid-40 percent first pass yield at the start of the project.
Spatio-temporal synchronisation for human-cyber-physical assembly workstation 4.0 systems
Published in International Journal of Production Research, 2022
Shiquan Ling, Daqiang Guo, Yiming Rong, George Q. Huang
Furthermore, the hyper objects can also provide feedback data to the management system, supporting the real-time information visibility and traceability of the AW4.0 systems. As shown in Figure 9, the production plan module shows the real-time work progress statistics and compares that with the production plan, which would help to adjust and optimise the production plan timely. The employee status module statistics the health status, work capacity, and skill level can be used for work assignments and employee management. The real-time operation instruction module can provide personalised work guidance according to the real-time progress of the individual operator. The equipment condition module supports real-time equipment status monitoring for predictive maintenance and OEE (overall equipment effectiveness) improvement. The materials condition module can monitor the materials usage and stock level on a real-time basis to help work assignment and predictive replenishment. Finally, all in-situ inspection information is linked to the FPY (first pass yield), which is helpful for quality management and continuous improvement.
Universal-deterministic and probabilistic hypotheses in operations management research: a discussion paper
Published in Production Planning & Control, 2018
Garvan Whelan, Roberto Sarmiento, Jan Sprenger
Based on case study research, Antony, Gijo, and Childe (2012) explained how the implementation of a Six Sigma system in a precision automotive manufacturing setting resulted in clearly specified improvements in quality tolerance levels, first pass yield rates, and in profitability. This is an example of a case study article that provides clear precise information on the factors that explain the reported improvements, the basis of measurement, and the specified causal relations between the variables. We suggest that, from these findings, it is possible to formulate a universal-deterministic hypothesis such as: