Increasing Warehouse Productivity With an Ergonomic Handheld Scanner

2018 ◽  
Vol 26 (3) ◽  
pp. 23-31
Author(s):  
Chandra Nair ◽  
Konstantinos Tsiopanos ◽  
Richard Martin ◽  
Graham Marshall
Keyword(s):  
Value Added ◽  
Order Picking ◽  
Line Of Sight ◽  
Increase Productivity ◽  
Mobile Computers ◽  
Handheld Scanner ◽  
Warehouse Operations

Rugged handheld scanners, known in the industry as rugged mobile computers, are used for critical warehouse operations, such as receiving, order picking, and put-away. The form of rugged scanners has not fundamentally changed since it was introduced to replace pen and clipboard. Warehouses have extracted the maximum available efficiency increases available through today’s handheld rugged scanners, but new operational challenges require new ways to further increase productivity and accuracy. The “line of sight” rugged handheld scanner concept described in this article is designed to enhance the user’s efficiency by eliminating non-value-added wrist motions.

Towards Finding the Optimum Position in the Visual Field for a Head Worn Display Used for Task Guidance with Non-registered Graphics

2021 ◽  
Vol 5 (1) ◽  
pp. 1-26
Author(s):  
Georgianna Lin ◽  
Malcolm Haynes ◽  
Sarthak Srinivas ◽  
Pramod Kotipalli ◽  
Thad Starner
Keyword(s):  
Visual Field ◽  
Order Picking ◽  
Field Of View ◽  
Line Of Sight ◽  
Single Task ◽  
Horizontal Field ◽  
Optimum Position ◽  
Preference Task ◽  
Task Efficiency ◽  
Task Guidance

Where should a HWD be placed in a user's visual field? We present two studies that compare comfort, preference, task efficiency and accuracy for various HWD positions. The first study offsets a 9.2° horizontal field-of-view (FOV) display temporally (toward the ear) from 0° to 30° in 10° steps. 30° proves too uncomfortable while 10° is the most preferred position for a simple button-pushing game, corroborating results from previous single-task reading experiments. The second experiment uses a Magic Leap One to compare 10° x 10° FOV interfaces centered at line-of-sight, temporally offset 15° (center-right), inferiorly offset 15° (bottom-center), and offset in both directions (bottom-right) for an order picking task. The bottom-right position proved worst in terms of accuracy and several subjective metrics when compared to the line-of-sight position.

scholarly journals Role of Institutions in the Industrial Development of Pakistan

1995 ◽  
Vol 34 (4III) ◽  
pp. 1081-1090
Author(s):  
Tahir Hijazi
Keyword(s):  
Industrial Development ◽  
Manufacturing Sector ◽  
Value Added ◽  
Degenerate System ◽  
Luxury Goods ◽  
Increase Productivity ◽  
Primary Goods ◽  
The Masses ◽  
Backward Linkages

This study examines why a perverse kind of industrialisation developed in Pakistan. Following independence, the Pakistan government embarked on industrialisation proclaimed as a short-cut to eradicate poverty and reduce unemployment. But after four decades, it is still considered among the poorest countries '. of the world, with per capita annual income of only $375. The share of manufacturing sector in the GDP grew from a nominal base in 1947 to 19.7 percent in 1990, but it did· not help raise the standard of living. Pakistan's economy grew eight-fold I during this period whereas some other developing countries grew many times tenfold.2 Adopting a historical perspective reveals a perverse kind of industrialisation in Pakistan, which inhibits its ability to eradicate poverty [Sixth Five-year Plan 1983-88 (1982)]. By a perverse kind of industrialisation, I mean a degenerate system of industrial development which, instead of helping the national economy to expand and grow retards its process . .It implies selective industrial investment which is more capitalintensive, remains import-dependent, ignores forward and backward linkages, ensures the dominance of larger oligopolists firms, produces lUXUry goods, does not help increase productivity, and is located in a few urban centres. This level of industry creates relatively few jobs, depends on imported materials and instead of increasing value-added at home, and puts extra pressure on. foreign exchange reserves which the economy must meet by exporting primary goods. The absence of forward and backward linkages restricts opportunities for industrial expansion and larger firms relying on . foreign technology employ relatively few workers; and they produce lUXUry goods for higher income brackets, all of which does not benefit the masses. Such perverse characteristics of industrialisation contribute little to the eradication of poverty [Lawrence (1974)].

scholarly journals Optimization of Warehouse Operations with Genetic Algorithms

2020 ◽  
Vol 10 (14) ◽  
pp. 4817
Author(s):  
Mirosław Kordos ◽  
Jan Boryczko ◽  
Marcin Blachnik ◽  
Sławomir Golak
Keyword(s):  
Genetic Algorithms ◽  
Product Placement ◽  
Order Picking ◽  
Crossover Operator ◽  
Proper Number ◽  
Random Product ◽  
Fully Automatic ◽  
The Cost ◽  
The Given ◽  
Warehouse Operations

We present a complete, fully automatic solution based on genetic algorithms for the optimization of discrete product placement and of order picking routes in a warehouse. The solution takes as input the warehouse structure and the list of orders and returns the optimized product placement, which minimizes the sum of the order picking times. The order picking routes are optimized mostly by genetic algorithms with multi-parent crossover operator, but for some cases also permutations and local search methods can be used. The product placement is optimized by another genetic algorithm, where the sum of the lengths of the optimized order picking routes is used as the cost of the given product placement. We present several ideas, which improve and accelerate the optimization, as the proper number of parents in crossover, the caching procedure, multiple restart and order grouping. In the presented experiments, in comparison with the random product placement and random product picking order, the optimization of order picking routes allowed the decrease of the total order picking times to 54%, optimization of product placement with the basic version of the method allowed to reduce that time to 26% and optimization of product placement with the methods with the improvements, as multiple restart and multi-parent crossover to 21%.

Improvement of the Optimization of an Order Picking Model Associated With the Components of a Classic Volkswagen Beetle Using an Ant Colony Approach

2019 ◽  
pp. 189-210
Author(s):  
Jared Olmos ◽  
Rogelio Florencia ◽  
Francisco López-Ramos ◽  
Karla Olmos-Sánchez
Keyword(s):  
Mathematical Modeling ◽  
Ant Colony Optimization ◽  
Subject Matter ◽  
Operational Research ◽  
Order Picking ◽  
Ant Colony ◽  
Operational Costs ◽  
Auto Parts ◽  
Warehouse Operations

Warehouse operations, specifically order picking process, are receiving close attention of researches due to the need of companies in minimizing operational costs. This chapter explains an ant colony optimization (ACO) approach to improve the order picking process in an auto parts store associated with the components of a classic Volkswagen Beetle car. Order picking represents the most time-consuming task in the warehouse operational expenses and, according to the scientific literature, is becoming a subject matter in operational research. It implements a low-level, picker-to-part order picking using persons as pickers with multiple picks per route. The context of the case study is a discrete picking where users' orders are independent. The authors use mathematical modeling to improve de ACO metaheuristic approach to minimize the order-picking cost.

scholarly journals Wave Planning for Cart Picking in a Randomized Storage Warehouse

2020 ◽  
Vol 10 (22) ◽  
pp. 8050
Author(s):  
Jiun-Yan Shiau ◽  
Jie-An Huang
Keyword(s):  
Best Practice ◽  
Time Window ◽  
Programming Model ◽  
Value Added ◽  
Order Picking ◽  
Mixed Integer ◽  
Just In Time ◽  
Distribution Centers ◽  
Truck Loading ◽  
Planning Algorithm

Randomized storage strategy is known as a best practice for storing books of an online bookstore, it simplifies the order picking strategy as to retrieve books in purchase orders from closest locations of the warehouse. However, to be more responsive to customers, many distribution centers have adopted a just-in-time strategy leading to various value-added activities such as kitting, labelling, product or order assembly, customized packaging, or palletization, all of which must be scheduled and integrated in the order-picking process, and this is known as wave planning. In this study, we present a wave planning mathematical model by simultaneously consider: (1) time window from master of schedule (MOS), (2) random storage stock-keeping units (SKUs), and (3) picker-to-order. A conceptual simulation, along with a simplified example for the proposed wave planning algorithm, has been examined to demonstrate the merits of the idea. The result shows the wave planning module can improve the waiting time for truck loading of packages significantly and can reduce the time that packages are heaping in buffer area. The main contribution of this research is to develop a mixed integer programming model that helps the bookseller to generate optimal wave picking lists for a given time window.

scholarly journals Application of Lean Methodology to Increase Productivity through Value Stream Mapping

2021 ◽  
Vol 06 (09) ◽  
Author(s):  
Engr. Joefil C. Jocson ◽  
Keyword(s):  
Lead Time ◽  
Value Added ◽  
Labor Cost ◽  
Real Income ◽  
Vital Role ◽  
Value Stream Mapping ◽  
Filling Process ◽  
Value Stream ◽  
Future State ◽  
Increase Productivity

Productivity plays a vital role for business because it controls the real income that is needed to meet obligations to customers, employees, shareholders, and government through taxes and still remain competitive in the marketplace. An effective way to increase productivity is to eliminate waste in the manufacturing process, therefore using lean methodology. This study aims to use one of the lean tools which are value stream mapping (VMS) to identify wastes and improve the efficiency of the sachet filling process in manufacturing company. In conjunction with state mapping, re-engineering of the manufacturing setup was also developed. The future state map shows that after the streamlining process non value added time was reduce by 43.13%. Total lead time was also reduced from 118.63 hrs to 64.96 hrs and total man-hours were reduced from 189.26 hrs to 105.93 hrs which provide significant savings to the organization with respect to labor cost.

scholarly journals PENINGKATAN PRODUKTIVITAS MENGGUNAKAN METODE LINE BALANCING PADA PROSES PENGEMASAN DI PT.XYZ

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Ismail Fardiansyah ◽  
Tri Widodo
Keyword(s):  
Cycle Time ◽  
Value Added ◽  
Waste Reduction ◽  
Line Balancing ◽  
Customer Requirement ◽  
Cycle Time Reduction ◽  
Increase Productivity ◽  
Optimum Productivity ◽  
Logistic Service ◽  
Is Value

PT.XYZ is a logistic service provider company. One of their division is a contract logistic. Contract logistic is division that maintain the warehouse of customer. One of Operation in warehouse is value added service (VAS) that additional services based on customer requirement one of VAS process in PT.XYZ is a packaging process. In order to meet the customer requirement, PT.XYZ should be productive and efficient in Operation. It can be happen through by line balancing. This paper explains about line balancing implementation in VAS process at PT.XYZ to increase productivity. Line balancing analysis in VAS process for current condition among others total cycle time are 131 second by 10 operator, it’s impact to productivity by 106 box/operator/day, and line efficiency by 94%. Based on this fact, improvement conducted through balancing workload and waste reduction to get optimum condition. The result of improvement are increase productivity by 104%, increase line efficiency by 3%, and cycle time reduction by 15%. PT.XYZ need to continue conduct waste elimination and regular monitor of line balancing analysis to achieve sustainability of optimum productivity.

scholarly journals An Augmented Reality Assisted Order Picking System using IoT

2019 ◽  
Vol 8 (3) ◽  
pp. 744-749
Keyword(s):  
Augmented Reality ◽  
Relevant Information ◽  
Order Picking ◽  
Major Bottleneck ◽  
Cost Efficient ◽  
Control And Management ◽  
Warehouse Operations ◽  
The Internet Of Things ◽  
Level Order ◽  
Picking System

It is widely recognized that order picking is the most complicated and time-consuming task in warehouse operations and often termed as the major bottleneck in warehouse workflow. Over the years the process of order picking has been extensively studied and many methods have been proposed to deal with its challenges. However, most of these solutions involve complex and expensive components with elaborate setups. In this paper, we propose RASPICK a modular, robust and cost-efficient order picking system that is scalable and can be used in warehouses of all sizes. The proposed system aims to reduce the cognitive load on the picker by providing crucial and relevant information for each item on the picking list. For a baseline, the proposed system is also compared to manual paper-based picking and shows significant improvements in average trip-time for lists of different sizes. The system combines the convenience of Augmented Reality with the power of the Internet of things to facilitate central control and management of pickers and attempts to address the low-level order picking bottlenecks.

scholarly journals The Accuracy of Datria System in Improving Order Picking Process

2019 ◽  
Vol 8 (4) ◽  
pp. 6775-6780
Keyword(s):  
Operating Cost ◽  
Order Picking ◽  
Chain Operation ◽  
Doing Business ◽  
Distribution Centre ◽  
Increase Productivity ◽  
Overall Performance ◽  
Order Fulfilment ◽  
To Come ◽  
Supply Chain Operation

Order picking is an essential part of the supply chain operation. It forms as much as 55% of the operating cost at any distribution centre, as opposed to shipping, receiving, storage and has a direct impact on the level of customer contentment [1]. The ability to process customer orders quickly and accurately is now an essential part of doing business. In order to improve order picking processes within warehouse, the company must choose an order picking method that is suitable for their business. Therefore, XYZ Combined Distribution Centre (CDC) was implemented DATRIA system to dramatically increase productivity in their order picking process Based on this practices, researcher want to investigate the accuracy of DATRIA system in improving the order picking process at XYZ CDC. There are three factors that have been discussed in this study which are order picker, equipment, and interference. In this study, researcher have used questionnaire and observation as a method of data collection. The questionnaire has been distributed to order pickers at XYZ Distribution Centre and researcher also has looked at the data from order fulfilment report. At the end of this study, recommendations for efficient practicing of this system have been provided. By identifying the factors that could affect the accuracy of DATRIA system, it is easier to come up with various ideas and suggestions in improving the operations that will eventually improve the company’s overall performance besides maintaining a positive image among the customers throughout the nation.

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