The impact of staffing on cycle time evaluated by simulation

2004 ◽  
Author(s):  
N. Kroehn
Keyword(s):  
Cycle Time ◽  
The Impact

Design of spline surface vacuum gripper for pick and place robotic arms

2020 ◽  
Vol 4 (2) ◽  
pp. 48-55
Author(s):  
A. S. Jamaludin ◽  
M. N. M. Razali ◽  
N. Jasman ◽  
A. N. A. Ghafar ◽  
M. A. Hadi
Keyword(s):  
Cycle Time ◽  
Industrial Robot ◽  
Annealing Process ◽  
Vacuum Suction ◽  
Robotic Arms ◽  
Custom Made ◽  
Pick And Place ◽  
Manufacturing Procedure ◽  
Production Flexibility ◽  
The Impact

The gripper is the most important part in an industrial robot. It is related with the environment around the robot. Today, the industrial robot grippers have to be tuned and custom made for each application by engineers, by searching to get the desired repeatability and behaviour. Vacuum suction is one of the grippers in Watch Case Press Production (WCPP) and a mechanism to improve the efficiency of the manufacturing procedure. Pick and place are the important process for the annealing process. Thus, by implementing vacuum suction gripper, the process of pick and place can be improved. The purpose of vacuum gripper other than design vacuum suction mechanism is to compare the effectiveness of vacuum suction gripper with the conventional pick and place gripper. Vacuum suction gripper is a mechanism to transport part and which later sequencing, eliminating and reducing the activities required to complete the process. Throughout this study, the process pick and place became more effective, the impact on the production of annealing process is faster. The vacuum suction gripper can pick all part at the production which will lower the loss of the productivity. In conclusion, vacuum suction gripper reduces the cycle time about 20%. Vacuum suction gripper can help lower the cycle time of a machine and allow more frequent process in order to increase the production flexibility.

Analysis and Reduction of the Waste in the Work Process Using Time Study Analysis: A Case Study

2014 ◽  
Vol 660 ◽  
pp. 971-975 ◽  
Author(s):  
Mohd Norzaim bin Che Ani ◽  
Siti Aisyah Binti Abdul Hamid
Keyword(s):  
Cycle Time ◽  
Lean Manufacturing ◽  
Value Added ◽  
Time Study ◽  
Study Approach ◽  
Root Cause ◽  
Wide Range ◽  
Unit Of Work ◽  
Time Required ◽  
The Impact

Time study is the process of observation which concerned with the determination of the amount of time required to perform a unit of work involves of internal, external and machine time elements. Originally, time study was first starting to be used in Europe since 1760s in manufacturing fields. It is the flexible technique in lean manufacturing and suitable for a wide range of situations. Time study approach that enable of reducing or minimizing ‘non-value added activities’ in the process cycle time which contribute to bottleneck time. The impact on improving process cycle time for organization that it was increasing the productivity and reduce cost. This project paper focusing on time study at selected processes with bottleneck time and identify the possible root cause which was contribute to high time required to perform a unit of work.

scholarly journals Incorporating Outsourcing Strategy and Quality Assurance into a Multiproduct Manufacturer–Retailer Coordination Replenishing Decision

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2212
Author(s):  
Yuan-Shyi Peter Chiu ◽  
Victoria Chiu ◽  
Tsu-Ming Yeh ◽  
Hua-Yao Wu
Keyword(s):  
Quality Assurance ◽  
Cycle Time ◽  
Cost Effective ◽  
Managerial Decision ◽  
Optimal Operating ◽  
Supply Chain System ◽  
Operating Policy ◽  
Multiproduct Manufacturing ◽  
The Impact ◽  
Optimal Operating Policy

This study explores the multiproduct manufacturer-retailer coordination replenishing decision featuring outsourcing strategy and product quality assurance. Globalization has generated enormous opportunities. Consequently, transnational firms now face tough competition in global markets. To stay competitive, a firm should meet the client’s multi-item and quality requirements under capacity constraints and optimize the intra-supply chain system to allow the timely distribution of finished goods under minimum system cost. The outsourcing option is considered to release machine loadings and reduce cycle time effectively. All items fabricated are screened for quality, and reworkable and scrap items are separated. Any reworked items that fail the quality reassurance screening are discarded, whereas all outsourced products are quality-guaranteed by the provider. A fixed-quantity multi-shipment plan is used when the whole finished lot is quality-ensured to help present-day transnational firms gain competitive advantage by making efficient and cost-effective multiproduct manufacturing and delivering decisions. Mathematical modeling is built to portray the system’s characteristics, and conventional differential calculus is used to solve and derive the optimal operating policy for the proposed problem. Simultaneously, we find the optimal delivery frequency and common cycle time for the problem mentioned above. A simulated numerical example and sensitivity analysis demonstrate the research result’s capability and applicability. Our precise analytical model can reveal/highlight the impact of deviations in quality- and outsourcing-related features on the optimal operating policy and several performance indicators that help managerial decision-making.

The Impact Of PACS Technology On Diagnostic Cycle Time

1988 ◽  
Author(s):  
James S. List ◽  
Kathleen G. O' Malley
Keyword(s):  
Cycle Time ◽  
The Impact

scholarly journals Streamlining and Cycle Time Reduction of the Start-up Phase of Clinical Trials

2019 ◽  
Author(s):  
Amani Abu-Shaheen ◽  
Ahmad Al Badr ◽  
Isamme AlFayyad ◽  
Adel Al Qutub ◽  
Eissa Ali Faqeih ◽  
...  
Keyword(s):  
Cycle Time ◽  
Clinical Laboratory ◽  
Vital Role ◽  
Investigational Drug ◽  
Initial Contact ◽  
Start Up ◽  
Confidentiality Agreement ◽  
Intervention Protocol ◽  
Review Protocol ◽  
The Impact

AbstractObjectiveThe start-up phase of a clinical trial (CT) plays a vital role in execution of novel drug development. Hence, this study aims to identify the factors responsible for delaying the CT start-up phase. Further, it focuses on streamlining and reducing the cycle time of the start-up phase of newly sponsored CTs.MethodologyThirteen sponsored CTs conducted (between 2016 and 2017) in clinical research department at King Fahad Medical City, Riyadh were analyzed to identify the data specific start-up metrics usingFind an improvement area-Organize a team-Clarify current practices-Understand source of variation/problem-Select a Strategy-Plan-Do-Check-Act (FOCUS-PDCA) cycle. Five measures incorporated in the metrics were: date of initial contact with site to the signing of confidentiality agreement; date of receiving questionnaire from sponsor to date of its completion; time taken to review protocol and approve investigational drug service (IDS) form; time taken to review protocol and approve pharmacy and pathology and clinical laboratory medicine (PCLM) form and date of receipt of institutional review board (IRB) submission package to final IRB approval.Fishbone analysis was used to understand the potential causes of process variation. Mean time was calculated for each metrics prior to and post implementation of the intervention protocol to analyze and compare percentage reduction in the mean cycle time of CTs.ResultsOf the various potential factors of delay identified through Fishbone analysis, the two major ones were lack of well-defined timeline for approval and review of the study protocol; and inconsistent IRB meetings. Post introduction of the new intervention protocol, the entire CT lifecycle was reduced by 45.6% (24.8 weeks' vs 13 weeks, before and after intervention, respectively).ConclusionVaried factors are responsible for delay of the start-up phase of CTs and understanding the impact of each factor allows for optimization and faster execution of the start-up phase of CTs.

scholarly journals Task Scheduling Problem of Double-Deep Multi-Tier Shuttle Warehousing Systems

Processes ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 41
Author(s):  
Xiangnan Zhan ◽  
Liyun Xu ◽  
Xufeng Ling
Keyword(s):  
Carbon Emissions ◽  
Cycle Time ◽  
Parallel Machines ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
System Efficiency ◽  
Retrieval Task ◽  
Free Process ◽  
Warehousing Systems ◽  
The Impact

Double-deep multi-tier shuttle warehousing systems (DMSWS) have been increasingly applied for store-and-retrieval stock-keeping unit tasks, with the advantage of a reduced number of aisles and improved space utilization. Scheduling different devices for retrieval tasks to increase system efficiency is an important concern. In this paper, a Pareto optimization model of task operations based on the cycle time and carbon emissions is presented. The impact of the rearrangement operation is considered in this model. The cycle time model is converted into a flow-shop scheduling model with parallel machines by analyzing the retrieval operation process. Moreover, the carbon emissions of the shuttle in the waiting process, the carbon emissions of the lift during the free process, and the carbon emissions of the retrieval operation are considered in the carbon emissions model, which can help us to evaluate the carbon emissions of the equipment more comprehensively during the entire retrieval task process. The elitist non-dominated sorting genetic algorithm II (NSGA-II) is adopted to solve the non-linear multi-objective optimization function. Finally, a real case is adopted to illustrate the findings of this study. The results show that this method can reduce carbon emissions and improve system efficiency. In addition, it also help managers to reduce operational costs and improve the utilization of shuttles.

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