scholarly journals Designing Floor Tile Warehouse Layout Using Heuristic Approach Method to Increase Warehouse Capacity and Reduce Travel Distance

2017 ◽  
Vol 1 (01) ◽  
pp. 44-52
Author(s):  
Tika Purnama Sari ◽  
Ari Yanuar Ridwan ◽  
Rio Aurachman
Keyword(s):  
Material Handling ◽  
Storage Capacity ◽  
Floor Tile ◽  
Heuristic Approach ◽  
Travel Distance ◽  
Ceramic Tiles ◽  
Storage And Retrieval ◽  
Accessibility Problem ◽  
Warehouse Storage ◽  
Approach Method

XYZ Company is a distributor focused on distributing floor and wall ceramic tiles. XYZ Company has its own warehouse for storing finished goods with Last In First Out rotation. The XYZ Company Warehouse has an area of 12,312 m2 with floor stack system. An issue currently risen to the warehouse is that the warehouse is currently overcapacity that urges the company to store some of its SKUs to be stored out of the block or even outside the warehouse.  The overcapacity causes some problems including accessibility problem, distribution of storage and retrieval activities, and damaged product. In addition, higher throughput items allocation were not placed near to the input/output point so the material handling went through long travel to do its activities and it caused higher total travel distance. This research is focused on determining the warehouse layout to increase warehouse storage capacity and reduce travel distance. The procedure taken to solve the issue is by redesigning warehouse layout through heuristic approach method. The heuristic approach method is comprised by algorithms that can determine dimensions of storage zone and material assignment needed in designing warehouse layout. It is aimed at having some combinations of lane depths and storage zones to increase the warehouse storage capacity by considering the throughput of each SKU. The next step is allocating the items so it can reduce the monthly travel distance. The proposed design layout, shows that warehouse capacity increases by 35.53% or 5,319 pallet positions and monthly travel distance decreases by 24.58% or 216,032 meters.   Keywords—heuristic approach, travel distance, warehouse layout.

scholarly journals Designing Floor Tile Warehouse Layout Using Heuristic Approach Method to Increase Warehouse Capacity and Reduce Travel Distance

2017 ◽  
Vol 1 (01) ◽  
pp. 44
Author(s):  
Tika Purnama Sari ◽  
Ari Yanuar Ridwan ◽  
Rio Aurachman
Keyword(s):  
Material Handling ◽  
Storage Capacity ◽  
Floor Tile ◽  
Heuristic Approach ◽  
Travel Distance ◽  
Storage And Retrieval ◽  
Accessibility Problem ◽  
Warehouse Storage ◽  
Approach Method ◽  
The Impact

XYZ Company is distributor that focused on distributes floor and wall tiles ceramic. XYZ Company has its own warehouse for storing finished good with Last In First Out (LIFO) rotation. XYZ Company’s warehouse has area of 12,312 m2 with floor stack system. The issued that currently raised is warehouse condition that is overcapacity so several SKUs are stored out of the block even placed outside the warehouse. The impact of overcapacity are accessibility problem, storage and retrieval activities are hampered, and damaged product. In addition, the allocation of higher throughput items were not placed near to the input/output point so the material handling went through long travel to do its activities and it caused higher total travel distance. This research focuses on determining the warehouse layout to increase warehouse storage capacity and reduce travel distance. The procedure to solve the issue will be done by redesign warehouse layout with heuristic approach method. The objective are a combination of lanes depths and storage zones to increase the warehouse storage capacity by considering throughput of each SKU. The next step is allocate the items so it can reduces the monthly travel distance. Based on proposed design layout, obtained the warehouse capacity increase by 35.53% or as much as 5,319 pallet positions and monthly travel distance is decreased by 24.58% or 216,032 meters.

The Influence of Load Handling Height on Shoulder Biomechanics during Sudden Loading

2018 ◽  
Vol 62 (1) ◽  
pp. 828-832
Author(s):  
Hossein Motabar ◽  
Saman Madinei ◽  
Xiaopeng Ning
Keyword(s):  
Muscle Activity ◽  
Material Handling ◽  
Travel Distance ◽  
Body Parts ◽  
Occupational Risk Factors ◽  
Shoulder Muscles ◽  
Proprioceptive Deficit ◽  
Shoulder Disorders ◽  
Sudden Loading ◽  
Load Handling

Shoulder disorders have been reported as the most severe musculoskeletal disorders among all body parts. Multiple occupational risk factors such as manual material handling, repetitive motion, overexertion, fatigue, and overhead tasks have been reported to be associated with the development of shoulder disorders. The objective of this study was to investigate the effect of height (low, middle, high) on shoulder muscles during sudden loading. Kinematics and Electromyography (EMG) was recorded from 14 male participants. Effect of height found to be significant on normalized EMG and load travel distance. Bilateral shoulder muscles indicated higher NEMG with the increase of the load’s altitude. This increase of muscle activity could have resulted from the greater potential energy of the load at higher altitudes which required extra muscle activity to maintain the biomechanical stability of the shoulder. Reduced stability of shoulder at higher altitudes caused proprioceptive deficit which resulted in higher load travel distance.

Automated storage and active cleaning for multi-material digital-light-processing printer

2019 ◽  
Vol 25 (5) ◽  
pp. 864-874 ◽  
Author(s):  
Christopher-Denny Matte ◽  
Michael Pearson ◽  
Felix Trottier-Cournoyer ◽  
Andrew Dafoe ◽  
Tsz Ho Kwok
Keyword(s):  
Material Handling ◽  
Storage System ◽  
Digital Light Processing ◽  
Content Type ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
Cleaning Solution ◽  
Multiple Materials ◽  
Automated Storage ◽  
Compact Design

PurposeThe purpose of this paper is to introduce a novel technique for printing with multiple materials using the DLP method. Digital-light-processing (DLP) printing uses a digital projector to selectively cure a full layer of resin using a mask image. One of the challenges with DLP printing is the difficulty of incorporating multiple materials within the same part. As the part is cured within a liquid basin, resin switching introduces issues of cross-contamination and significantly increased print time.Design/methodology/approachThe material handling challenges are investigated and addressed by taking inspiration from automated storage and retrieval systems and using an active cleaning solution. The material tower is a compact design to facilitate the storage and retrieval of different materials during the printing process. A spray mechanism is used for actively cleaning excess resin from the part between material changes.FindingsChallenges encountered within the multi-material DLP technology are addressed and the experimental prototype validates the proposed solution. The system has a cleaning effectiveness of over 90 per cent in 15 s with the build area of 72 inches, in contrast to the previous work of 50 per cent cleaning effectiveness in 2 min with only 6 inches build area. The method can also hold more materials than the previous work.Originality/valueThe techniques from automated storage and retrieval system is applied to develop a storage system so that the time complexity of swapping is reduced from linear to constant. The whole system is sustainable and scalable by using a spraying mechanism. The design of the printer is modular and highly customizable, and the material waste for build materials and cleaning solution is minimized.

scholarly journals Development of a Small Scale Material Handling Machine for Automated Storage and Retrieval System (ASRS)

2020 ◽  
pp. 84-105
Author(s):  
Saif Ullah Iqbal ◽  
C. B. Yeo ◽  
Umar Nirmal
Keyword(s):  
Flexible Manufacturing ◽  
Material Handling ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Retrieval System ◽  
Small Scale ◽  
Coding System ◽  
Storage And Retrieval ◽  
Software Modules ◽  
Automated Storage

The current works deals with the design and development of an Automated Storage and Retrieval System (ASRS) machine for Flexible Manufacturing System (FMS). The work involved investigating ASRS machine features and operating procedures, evaluating related hardware, software and communication modules for the machine. The work explored on the different options of hardware and software modules offered in the current market and further selected the suitable one for the ASRS machine development. Several design considerations and the limitations faced during the process of the project development and implementation are given. Arduino was used as the coding system for the Arduino UNO board while stainless steel 305 and aluminium was used as the main frame in fabricating the ASRS machine. Lastly, a final working prototype of a fully-developed ASRS machine with dimensions of: 80cm by 73cm by 94cm (length by width by height) is presented.

scholarly journals Effect of kaolinitic clays from the State of Rio de Janeiro in the composition of whiteware floor tile bodies

Cerâmica ◽  
2006 ◽  
Vol 52 (322) ◽  
pp. 138-145 ◽  
Author(s):  
C. M. F. Vieira ◽  
L. A. Peçanha Jr. ◽  
S. N. Monteiro
Keyword(s):  
Rio De Janeiro ◽  
Ceramic Body ◽  
Mercury Porosimetry ◽  
Physical And Mechanical Properties ◽  
Floor Tile ◽  
Linear Shrinkage ◽  
The State ◽  
Ceramic Tiles ◽  
Industrial Processing ◽  
Floor Tiles

This work presents an investigation that was undertaken for three types of kaolinitic clays from the State of Rio de Janeiro, Brazil, with a potential use in whiteware floor tiles bodies. Different compositions prepared by mixing the three clays with other materials such as kaolin, quartz, philite, potash feldspar and talc, were investigated and compared with an industrial ceramic body for whiteware floor tiles (group BIIa). Physical and mechanical properties such as linear shrinkage, water absorption and flexural strength were evaluated in pressed specimens fired at temperatures varying from 1025 to 1225 ºC. The microstructure of the specimens was studied by X-ray diffraction, scanning electron microscopy and mercury porosimetry. The results indicated that the prepared compositions presented microstructural characteristics, specially the pore size distribution, and technological properties that are compatible with low-porosity ceramic tiles. However, they also display characteristics, such as an excessive plasticity and high loss on ignition, that could generate problems during the industrial processing.

scholarly journals Heuristic comparative assessment of non-conventional warehouse designs

2021 ◽  
Vol 13 (1) ◽  
pp. 89-103
Author(s):  
Antonio T. Esmero ◽  
Queenie Rose S. Branzuela ◽  
Jessilyn T. Paypa ◽  
Sharmaine Myka S. Rojo ◽  
Eduardo S. Sacay ◽  
...  
Keyword(s):  
Storage Capacity ◽  
Comparative Assessment ◽  
Travel Distance ◽  
Storage Space ◽  
Assessment Framework ◽  
Unit Load ◽  
Research Findings ◽  
Run Time ◽  
Space Layout ◽  
Analytical Approaches

Abstract In the unit-load warehouse (UW) design, the aisle design problem dealing with storage space layout is the first among the three main problems. Several conventional and non-conventional designs have been proposed in the literature. In general, the assessment of UW designs is commonly carried out using analytical approaches. However, such an approach may be inadequate due to assumptions or approximations, making results unrealistic. Aiming to bridge this gap, this research develops an assessment framework that employs the FlexSim software for simulating the conventional, Flying-V and Fishbone designs based on a real case from a Philippine manufacturing company. Using a computer simulation, this research investigates factors not yet tractable with present analytical methods. The factors employed for the comparative assessment are “picking run-time”, “travel distance”, and “capacity”. The results suggest that the Fishbone design provides the most advantage compared to the Flying-V and other conventional designs. With the proposed Fishbone design, the company is expected to save, on average, 52.39% of picking run-time, 32.25% travel distance, and increase storage capacity by 7.5%. The research findings are compared to previous studies based on analytical approaches.

Multi-Material Digital Light Processing Printer With Material Tower and Spray Cleaning

2018 ◽  
Author(s):  
Christopher-Denny Matte ◽  
Michael Pearson ◽  
Felix Trottier-Cournoyer ◽  
Andrew Dafoe ◽  
Tsz-Ho Kwok
Keyword(s):  
3D Printing ◽  
Material Handling ◽  
Three Dimensional ◽  
Cross Contamination ◽  
Digital Light Processing ◽  
Storage And Retrieval ◽  
Cleaning System ◽  
Multiple Materials ◽  
Compact Design ◽  
Planar Component

Digital light processing (DLP) three-dimensional (3D) printing is a type of stereolithography (SLA) process that uses a digital projector to selectively cure resin according to a mask image. Each exposure solidifies a planar component of the printed part, allowing full layers to be cured at once. The DLP approach produces better quality parts at a faster rate compared to other 3D printing methods. One of the challenges with DLP printing is the difficulty of incorporating multiple materials within the same part. As the part is cured within a liquid basin, resin switching introduces issues of cross-contamination, layer height variability, and significantly increased print times. In this paper, a novel technique for printing with multiple materials using the DLP method is introduced. The material handling challenges are addressed with the design of a material swapping mechanism, a material tower, and an active part cleaning system. The material tower is a compact design to facilitate the storage and retrieval of different materials during the printing process. A spray mechanism is used for cleaning excess resin from the part between material changes. Challenges encountered within the 3D printing research community are addressed, with a focus on improving the shortcomings of modern multi-material DLP printers.

scholarly journals A multi-objective optimization model for minimizing investment expenses, cycle times and CO2 footprint of an automated storage and retrieval systems

Transport ◽  
2019 ◽  
Vol 34 (3) ◽  
pp. 275-286 ◽  
Author(s):  
Miloš Rajković ◽  
Nenad Zrnić ◽  
Nenad Kosanić ◽  
Matej Borovinšek ◽  
Tone Lerher Lerher
Keyword(s):  
Optimization Model ◽  
Material Handling ◽  
Throughput Capacity ◽  
Simultaneous Optimization ◽  
Maximum Throughput ◽  
Nsga Ii ◽  
Cycle Times ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
Automated Storage

A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: “investment expenses”, “cycle times”, “CO 2 footprint”) the Non-dominated Sorting Genetic Algorithm II (NSGA II) was used. The NSGA II is a tool for finding the Pareto optimal solutions on the Pareto line. Determining the performance of the system is the main goal of our model. Since AS/RS are not flexible in terms of layout and organizational changes once the system is up and running, the proposed model could be a very helpful tool for the warehouse planners in the early stages of warehouse design

scholarly journals An approach for performance evaluation of SBS/RS with shuttle vehicles serving multiple tiers of multiple-deep storage rack

2020 ◽  
Vol 110 (11-12) ◽  
pp. 3241-3256
Author(s):  
Michael Eder
Keyword(s):  
Material Handling ◽  
Queueing System ◽  
Discrete Event ◽  
Calculation Model ◽  
Limited Capacity ◽  
Operating Characteristics ◽  
Cycle Times ◽  
Storage And Retrieval ◽  
Event Simulation ◽  
Retrieval Systems

Abstract This paper presents a method for determining the performance of shuttle-based storage and retrieval systems (SBS/RS) with tier-captive, single-aisle shuttles serving various numbers of tiers of multiple-deep storage. The use of this approach takes place in the design process of SBS/RS. The proposed approach considers the real operating characteristics of the shuttle and lifts. The basis of this calculation method is a continuous-time, open-queueing system with limited capacity. The cycle times of the lifts and shuttles, determined by a spatial value approach, can be used directly in the presented method with an assumed uniform distribution of storage locations and a probability-based model of storage depth. This approach is validated by a comparison with a discrete-event simulation. Finally, an example based on a system provided by a European material handling provider is presented to outline how this calculation model can be used for designing SBS/RS that fulfill predefined requirements. The result of this example is a decrease in the needed ground space with an increasing number of tiers served by each shuttle and with increasing storage depth.

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