Scheduling Based Decision Support System Design for Determining the Number of Setup Workers Under SMED Environment

In industrial manufacturing systems, high profit achievement aim considers financial performance under the use of scarce resources and limiting wastes require a systematic approach lean method. Inventory cost, idle time cost, material cost, rework cost rise with large-lot production and work pieces. Achieving economic lot requires setup activity effect. Setup activity effect consists of setup activity time. Setup activity time is production time of previous setup activity exact product to successive setup activity exact product. Manufacturing difficulties of many enterprises push them to demand lean manufacturing tools and develop new ways. Cellular manufacturing, Value stream mapping (VSM), Total productive maintenance (TPM) and Single minute exchange of dies (SMED) are vital lean manufacturing tools to separate Non-value added activities (NVA) and Value added activities (VA), and eliminate wastes. Many studies examined the first four lean manufacturing tool. In this study, scheduling of set-up tasks on SMED environment proposes to examine lead time reduction, lean production method and scheduling setup tasks of setup activity. Continuous improvement encourages setup workers and operators to involve frequent improvement. In the case of yarn processing, setup activity and setup task of machine assigned for jobs to reduce raw material and processing time waste.

An Automated Billing System in Shopping Malls Using Bascart

In modern days, people are getting too busy in their works but still they need to spend time in shopping malls. In Shopping malls, customers face a difficulty to follow a queue for the process of billing, which takes a long time under huge crowd. Customer thought that, to avoid the standing time in the billing section at shopping malls. To overcome the above problems, we emerged the Bascart system. To increase the pace of a billing process, RFID tags in products, then the product is read by the barcode scanner which describes the cost of that product and is displays on the LCD screen attached in our shopping list. As customer buy their exact product its price is add on the previous list. The cost of the product is displayed on the LCD screen by using microcontroller through Zigbee Communication from host PC. Zigbee supports bidirectional communication between microcontroller and host PC. We have proposed the Weighing Sensor for the purpose of checking the weight of the items and it is directly stored in the server database. Customer get direct bill at the billing section which is already stored at host PC which automatically reduces the queue. Then GSM Module in our system is used to detect the Geo-position of the customer’s mobile for the process of intimating the shopping details of the customer through messages which is already updated in database.

Improvement of Production Processes with the Use of Lean Manufacturing Tools

Growing competition, clients’ requirements as well as advances in technology make modern industrial enterprises search for a way of achieving and maintaining strong position on the market. One of the principal and at the same time necessary conditions to achieve this aim is continuous development of all of the processes in order to fulfil various clients’ expectations. Enterprises make use of different concepts and management methods which in significant way upgrade ongoing processes by raising their efficiency. One of such is the concept of ‘lean’ production - Lean Manufacturing. Management according to Lean Management rules allows to produce more with the use of less resources - at the same time approaching the aim which is to deliver clients the exact product they want. The process of resources use limitation is not easy to perform however, the concept of Lean Manufacturing by the application of chosen tools allows successfully and effectively to introduce ‘lean’ model of management in an enterprise and undertaking following improvement activities in every of its field.

Deep Neural Network for Product Classification System with Korean Character Image

This paper proposes a product classification system based on deep learning using Korean character images (Hangul) to search for products in the shopping mall. Generally, an online shopping mall customer searches through a category classification or a product name to purchase a product. When the exact product name or category is not clear, the user has to search its name. However, the product image classification is degraded because the product logos and characters in the package often interfere. To solve such problems, we propose a classification system based on Deep Learning using Korean character images. The learning data of this system uses Korean character images of PHD08, a Hangul (Korean-language) database. The experimental is carried out using product names collected on the web. For the performance experiment, 10 categories of online shopping mall are selected and the classification accuracy is measured and compared with the previous systems.

Investigating the Phylogenetic Range of Gibberellin Biosynthesis in Bacteria

Certain plant-associated microbes can produce gibberellin (GA) phytohormones, as first described for the rice fungal pathogen Gibberella fujikuroi and, more recently, for bacteria, including several rhizobia and the rice bacterial pathogen Xanthomonas oryzae pv. oryzicola. The relevant enzymes are encoded by a biosynthetic operon that exhibits both a greater phylogenetic range and scattered distribution among plant-associated bacteria. Here, the phylogenetic distribution of this operon was investigated. To demonstrate conserved functionality, the enzymes encoded by the disparate operon from X. translucens pv. translucens, along with those from the most divergent example, found in Erwinia tracheiphila, were biochemically characterized. In both of these phytopathogens, the operon leads to production of the bioactive GA4. Based on these results, it seems that this operon is widely dedicated to GA biosynthesis. However, there is intriguing variation in the exact product. In particular, although all plant pathogens seem to produce bioactive GA4, rhizobia generally only produce the penultimate hormonal precursor GA9. This is suggested to reflect their distinct interactions with plants, because production of GA4 counteracts the jasmonic-acid-mediated defense response, reflecting the importance of wounds as the entry point for these phytopathogens, whereas such suppression presumably is detrimental in the rhizobial symbiotic relationship.

(q, t) identities and vertex operators

Using vertex operators acting on fermionic Fock space we prove certain identities, which depend on a number of parameters, generalizing and refining the Nekrasov–Okounkov identity. These identities provide exact product representation for the instanton partition function of certain five-dimensional quiver gauge theories. This product representation also clearly displays the modular transformation properties of the gauge theory partition function.

Product Entity Resolution in E-Commerce

With the rapid development of e-commerce, there is a huge amount of commodity data on the Internet. Users are always spending a lot of time looking for the exact product. Therefore, finding products representing the same entity is an effective way to improve the efficiency of purchasing. Due to frequently missing or wrong values and subjective difference in description, traditional method of entity resolution may not have a good result on e-commerce data. Therefore, a set of algorithms are proposed in data cleaning, attribute and value tagging, and entity resolution, which are specialized for e-commerce data. In addition, user’s actions are collected to improve the classification result. The chapter evaluates the effectiveness of the proposed algorithms with real-life datasets from e-commerce sites.