UNIVERSITY OF MIAMI

COLLEGE OF ENGINEERING

Transforming Lives Through Teaching, Research, & Service

Planogram Excellence Program Namir Hakem

Department of industrial Engineering

Senior Design / BS / MS Project may - 2020

Abstract

The production of service sector industries is very important in such a competitive environment. There are some important parameters that effect the production rate such as waiting time, delays and machine utilization etc. In this study, we reduce the delays in Planogram Excellence program and increases the productivity of this services.

IntroductionIncreasing productivity is the important issue in all manufacturer companies and service sector industries. There are several factors that affect the productivity and by focusing on these factors will increase efficiency of production. In our case the main problem in Planogram Excellence Program is handling the materials at the working areas, and saving time of handling mean save time of resources and lead to have more productivity and customer satisfaction.

Simulation Simulation model give us clear figure of how the work done and by changing elements in model will affect results. In addition, changing in simulation model will not affect the real work at store and solutions applied will help managers to take actions to increase the production based on results of this simulation..

Methods | Design | Analysis

Results

As waiting time at each zone scanning machine is shown in figure. It is clearly

displayed that waiting time at zone three machine is much larger than other machine

.

References

ConclusionDelays at scanning machine at zone three is large as compare to other scanning machine. So a suggestion was made to increase the number of workers at that station. The effect of this improvement is shown below

▪ Waiting time of the zone reduces from 44 minutes to 16 minutes

▪ ARENA simulation software is helpful tool to analysis the current

system and find out the ways to increase the productivity.

Lau, H. Y., & Woo, S. O. (2008). An agent-based dynamic routing strategy for automated material handling systems. International Journal of Computer Integrated Manufacturing, 21(3), 269 288.https://doi.org/10.1080/09511920701241624

Taghaboni-Dutta, F., & Tanchoco, J. M. A. (1995). Comparison of dynamic routeing techniques for automated guided vehicle system. International Journal of Production Research, 33(10), 2653-2669. https://doi.org/10.1080/00207549508945352

Put pictures, illustrations, figures, or diagrams here. Make sure they communicate the important aspects of the project and/or key principles you want your

audience to know.

Acknowledgments

I am deeply grateful to American office supply company retailing company headquarter, for their guidance, assistance and technical support throughout this project. I am also very thankful to all faculty and staff members for their support and in office Boca Ration, Florida

Put CAD drawings and photographs here. Keep the text to a minimum but make sure

things are clearly labeled.

Develop a simulation model which focus in materials handling between empty shelf spaces on their sales floor and other stations.

▪ The system to be modeled consists of part arrivals called products from trucks after

scanning and assume parts arrive directly as finished parts.

Wai$ng$me

0

12.5

25

37.5

50

ZoneoneMachine zonethreeMachine zonefivemachine

CurrentcasemodelWai$ng$me(mint) ImprovedmodelWai$ng$me(mint)

Physical Inventory control process flow chart

Order arrive

POG excellence scan before closing Key Record Truck after closing

Fullfil PM processing criteria ?

Short and stock freight

Work Fill report

Work POG excellence Batch

Print and work POG excellence

Clean and Reset Reveibing for tomarrow

Order out

YESNo