scholarly journals The Integration of Group Technology and Simulation Optimization to Solve the Flow Shop with Highly Variable Cycle Time Process: A Surgery Scheduling Case Study

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
T. K. Wang ◽  
F. T. S. Chan ◽  
T. Yang
Keyword(s):  
Cycle Time ◽  
Group Technology ◽  
Flow Shop ◽  
Patient Flow ◽  
Arrival Rate ◽  
Process Time ◽  
Time Process ◽  
Surgery Scheduling ◽  
Takt Time

Surgery scheduling must balance capacity utilization and demand so that the arrival rate does not exceed the effective production rate. However, authorized overtime increases because of random patient arrivals and cycle times. This paper proposes an algorithm that allows the estimation of the mean effective process time and the coefficient of variation. The algorithm quantifies patient flow variability. When the parameters are identified, takt time approach gives a solution that minimizes the variability in production rates and workload, as mentioned in the literature. However, this approach has limitations for the problem of a flow shop with an unbalanced, highly variable cycle time process. The main contribution of the paper is to develop a method called takt time, which is based on group technology. A simulation model is combined with the case study, and the capacity buffers are optimized against the remaining variability for each group. The proposed methodology results in a decrease in the waiting time for each operating room from 46 minutes to 5 minutes and a decrease in overtime from 139 minutes to 75 minutes, which represents an improvement of 89% and 46%, respectively.

Execution of Lean and ZF Production System in Manufacturing Line for Productivity Enrichment - A Case Study

2018 ◽  
Vol 40 ◽  
pp. 171-183 ◽  
Author(s):  
Gunji Venkata Punna Rao ◽  
S. Nallusamy
Keyword(s):  
Cycle Time ◽  
Production System ◽  
Value Added ◽  
Line Balancing ◽  
Cnc Machine ◽  
Productivity Improvement ◽  
Standard Work ◽  
Manufacturing Line ◽  
Takt Time

The objective of this research is to implement the lean techniques over CNC machine cells with standardization and line balancing for reduction of overall lead time. The methodology used for this research is a combination of traditional lean system with ZF production system. The analysis was carried out over CNC machine cells with the objective of standardization and line balancing of the cells. Primarily the standardization of the CNC manufacturing cells were done, so that the process is streamlined and optimized without non-value added activity. Also this study deals with productivity improvement in manufacturing line through continuous improvement using kaizen approach. Observation of cycle time was carried out by video based work study technique. The operational videos such as cycle time of various processes were captured and improvement possibilities were identified. Then line balancing was done to overcome bottlenecks between operations to meet customer TAKT time and to increase overall productivity. The overall output has been improved from 22 to 30 per week for all models of gear box. Lean tools such as standard work procedure and Kaizen were employed and found that the overall cycle time was reduced by about 609 minutes with an improvement of 17.54%.

Mobile robot scheduling for cycle time optimization in flow-shop cells, a case study

2017 ◽  
Vol 12 (1) ◽  
pp. 83-94 ◽  
Author(s):  
Sam Mosallaeipour ◽  
Mazyar Ghadiri Nejad ◽  
Seyed Mahdi Shavarani ◽  
Ramtin Nazerian
Keyword(s):  
Mobile Robot ◽  
Cycle Time ◽  
Flow Shop ◽  
Time Optimization

scholarly journals PERCEPTION OF SUSTAINABLE DESIGN INTEGRATION BENEFITS AMONG INDUSTRY PRODUCT DEVELOPMENT TEAMS: A CASE STUDY

2020 ◽  
Vol 1 ◽  
pp. 2475-2484
Author(s):  
T. Chatty ◽  
J. Faludi
Keyword(s):  
Product Development ◽  
Sustainable Design ◽  
Process Time ◽  
Positive Perception ◽  
Development Teams ◽  
Industry Practice ◽  
Design Integration ◽  
The Impact ◽  
Development Practice

AbstractHow do employees perceive the impact of incorporating sustainability considerations into their product development practice? In this case study, we observe how these perceptions can be shifted by teaching workshops on how to apply sustainable design methods in practice. We compare the trends for different methods on various dimensions such as creativity, design process time, product marketability etc. Results show an overall shift towards positive perception for all the methods on a majority of factors, indicating a way to ease the adoption of sustainable design into industry practice.

scholarly journals EVOLUTIONARY ALGORITHMS FOR RESOURCE CONSTRAINED NON-SERIAL MIXED FLOW SHOPS

2003 ◽  
Vol 03 (04) ◽  
pp. 411-435 ◽  
Author(s):  
ROBERT L. BURDETT ◽  
ERHAN KOZAN
Keyword(s):  
Evolutionary Algorithms ◽  
Numerical Investigation ◽  
Flow Shop ◽  
Resource Constrained ◽  
Mixed Flow ◽  
Flow Shops ◽  
Constrained Flow

In this paper the resource-constrained flow shop (RCF) problem is addressed. A number of realistic extensions are incorporated, including non-serial precedence requirements, mixed flow shop situations, and the distribution of the human workforce among a number of pre-determined groups. The RCF is then solved by meta-heuristics, primarily of the evolutionary type. An extensive numerical investigation, including a case study of a particular industrial situation, details the implementation and execution of the heuristics, and the efficiency of the proposed algorithms.

scholarly journals Real-Time Process Monitoring Based on Multivariate Control Chart for Anomalies Driven by Frequency Signal via Sound and Electrocardiography Cases

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1510
Author(s):  
Chih-Hung Jen ◽  
Chien-Chih Wang
Keyword(s):  
Real Time ◽  
Process Monitoring ◽  
Sound Frequency ◽  
Detection Accuracy ◽  
Control Line ◽  
Time Process ◽  
Intrinsic Mode Functions ◽  
Low Frequencies ◽  
Linear Discriminant

Recent developments in network technologies have led to the application of cloud computing and big data analysis to industrial automation. However, the automation of process monitoring still has numerous issues that need to be addressed. Traditionally, offline statistical processes are generally used for process monitoring; thus, problems are often detected too late. This study focused on the construction of an automated process monitoring system based on sound and vibration frequency signals. First, empirical mode decomposition was combined with intrinsic mode functions to construct different sound frequency combinations and differentiate sound frequencies according to anomalies. Then, linear discriminant analysis (LDA) was adopted to classify abnormal and normal sound frequency signals, and a control line was constructed to monitor the sound frequency. In a case study, the proposed method was applied to detect abnormal sounds at high and low frequencies, and a detection accuracy of over 90% was realized. In another case study, the proposed method was applied to analyze electrocardiography signals and was similarly able to identify abnormal situations. Thus, the proposed method can be applied to real-time process monitoring and the detection of abnormalities with high accuracy in various situations.

scholarly journals Simulation modelling of patient flow and capacity planning for regional long-term care needs: a case study

2017 ◽  
Vol 8 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Ki-Hwan Bae ◽  
Molly Jones ◽  
Gerald Evans ◽  
Demetra Antimisiaris
Keyword(s):  
Capacity Planning ◽  
Long Term Care ◽  
Patient Flow ◽  
Simulation Modelling ◽  
Care Needs ◽  
Term Care
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