...| Discuss the impact of Information Technology have on Logistics Management | | | | | | Introduction New technology in the supply chain can help improve supply chain agility, power up operation, reduce cycle time, achieve higher efficiency and deliver products to customer on time if implemented correctly. It is also to make sure new solution integrate with existing technologies and processes crucial. Integrating new technology into existing operations can help a lot in increasing customer service, reduce costs, and streamline supply chains. The new technology must fit into existing policies, practices and people and use to it full power. We will further discuss on the impact of such technology have on various logistics function. Customer services Focusing on total customer satisfaction can improve its process to deliver better service at lower cost. Customer-driven is described as the next step beyond total quality management. The objective is not simply to deliver some abstract definition of quality but to deliver total satisfaction to the customer, of which the delivery of quality is only a part of it. In the past, customer information cannot be fully used in setting processes of firms’ conditions. With the increase in the speed of the IT, it had provided the ability to offer their customers another way to contact the firm regarding services issues and integrate customer and firm information to bring benefits to both customer and firms. Some companies...
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...Supply Chain Management Chapter – 5 Level-3 Project Course: BADM 425 – Production and Operations Management Instructor: Professor Tom Martin Report Written by: Raja Vinjamuri (7291237) Firm chosen: Walmart Person Interviewed: Mr. Clay Peltier (Assistant Manager) Report: Before, we discuss about the Supply chain management of Walmart, I would like to clarify their business philosophy, which is to keep prices as low as possible. Even if their margins weren't higher than competitors and in fact very less, they could make up for that in volume. Various factors like Technology combined with flawless Supply chain management, enables them to maintain such low costs. Now let’s see various elements of their supply chain management. The relationships of the firms in Supply chain: Normally any supply chain has a suppliers, manufacturers, distributors, wholesalers and retailers. Though walmart is technically considered as a retailer, in the words of one of its assistant manager of operations, “it is actually a wholesaler with a huge number of its own retail outlets”. Because Walmart supply chain has so many suppliers, as they sell a wide range of products they tend to do a lot of “Vertical integration” which is to own a major part of supply chain. Actually, based on types of integration of supply chain, they have various types of stores such as Walmart store U.S, Walmart Discount Stores, Walmart Supercenter, Sam's Club etc. So a supply chain integration connects the flow of work...
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...Åhlens Mahesh Kumar Rajuldevi Ranjit Veeramachaneni Sridhar Kare _______________________________________________________________________ This thesis comprises 30 ECTS credits and is a compulsory part in the Master of Science with a Major in Industrial Engineering – Logistics, 120 ECTS credits Nr. 5/2009 _______________________________________________________________________ Warehousing in theory and practice A case study at ÖoB, Clas Ohlson, Stadium, Åhlens Mahesh Kumar Rajuldevi Ranjit Veeramachaneni Sridhar Kare Master Thesis Subject Category: Series and Number: Technology Industrial Engineering: Logistics, 17/2008 University College of Borås School of Engineering SE 501 90 BORÅS Telephone: +46 033 435 4640 Examiner: Supervisor: Date: Keywords: Göran Stjernman Göran Stjernman November, 2008 Warehousing, Warehouse management systems, Retail stores, Inventory, Labour management. ii Acknowledgements The present master’s thesis work represents the essence of our achievements during the two years of study in Industrial Engineering and Logistics programme at University College of Borås, Borås. During this period there have been many people who have inspired us throughout the study period. The thesis work is concluding part of our university degree in MSc. in Industrial Engineering and Logistics. This master’s thesis was written during autumn 2008. This period was very exciting and it was very valuable as it has given us very knowledgeable and practical...
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...Question: 1. When developing a successful data warehouse, what are the most important risks and issues to consider and potentially avoid? Data warehouse projects have many risks. Most of them are also found in other IT projects, but data warehousing risks are more serious because data warehouses are expensive, time-and-resource demanding, large-scale projects. Each risk should be assessed at the inception of the project. When developing a successful data warehouse, it is important to carefully consider various risks and avoid the following issues: • Starting with the wrong sponsorship chain. You need an executive sponsor who has influence over the necessary resources to support and invest in the data warehouse. You also need an executive project driver, someone who has earned the respect of other executives, has a healthy skepticism about technology, and is decisive but flexible. You also need an IS/IT manager to head up the project. • Setting expectations that you cannot meet. You do not want to frustrate executives at the moment of truth. Every data warehousing project has two phases: Phase 1 is the selling phase, in which you internally market the project by selling the benefits to those who have access to needed resources. Phase 2 is the struggle to meet the expectations described in Phase 1. For a mere $1 to $7 million, hopefully, you can deliver. • Engaging in politically naive behavior. Do not simply state that a data warehouse will help managers make better decisions. This...
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...INTEGRATION TECHNOLOGIES have experienced explosive growth in the last few years, and data warehousing has played a major role in the integration process. A data warehouse is a subjectoriented, integrated, time-variant, and nonvolatile collection of data that supports managerial decision making [4]. Data warehousing has been cited as the highest-priority post-millennium project of more than half of IT executives. A large number of data warehousing methodologies and tools are available to support the growing market. However, with so many methodologies to choose from, a major concern for many firms is which one to employ in a given data warehousing project. In this article, we review and compare several prominent data warehousing methodologies based on a common set of attributes. Online transaction processing (OLTP) systems are useful for addressing the operational data needs of a firm. However, they are not well suited for supporting decision-support queries or business questions that managers typically need to address. Such questions involve analytics including aggregation, drilldown, and slicing/dicing of data, which are best supported by online analytical processing (OLAP) systems. Data warehouses support OLAP applications by storing and maintaining data in multidimensional format. Data in an OLAP warehouse is extracted and loaded from multiple OLTP data sources (including DB2, Oracle, IMS databases, and flat files) using Extract, Transfer, and Load (ETL) tools. The warehouse is located...
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...that could sell online, he settled on books. Almost every book was already catalogued electronically, yet no physical bookstore could carry them all. … The beauty of the model, Bezos thought, was that it would give customers access to a giant selection yet he wouldn't have to go through the time, expense, and hassle of opening stores and warehouses and dealing with inventory. It didn't work out that way. Bezos quickly discovered that the only way to make sure customers get a good experience and that Amazon gets inventory at good prices was to operate his own warehouses so he could control the transaction from start to finish. Building warehouses was a gutsy decision. At about $50 million apiece, they were expensive to set up and even more expensive to operate. … The Fernley, Nev., site sits about 35 miles east of Reno and hundreds of miles from just about anything else. It doesn't look like much at first. Just three million books, CDs, toys, and housewares in a building a quarter-mile long by 200 yards wide. But here's where the Bezos commitment to numbers and technology pays off: The place is completely computerized. Amazon's warehouses are so high tech that they require as many lines of code to run as Amazon's website does. Computers start the process by sending signals to workers' wireless receivers, telling them what items to pick off the shelves; then they crunch everything, from which item gets plucked first to whether the weight is right for sending. Along the way...
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...Research of improve the data quality Abstract Data Warehouse is a data collection which is subject-oriented, integrated, relativelyand relatively stable. and It can reflect the changes of history and support the management decision. It is an important segment to maintain the accuracy of the data warehouse. However, ETL is an important part to build data warehouse and occupy about 60 percent of the load. The improvement of the quality in the data warehouse helps to guarantee the reliability and also help the enterprise to summarize and use the data for a long period of time. There are many methods to improve the quality of data. However, in the view of the experience summary and practice accumulation in the practical application, the paper mainly focuses on the ETL dispatcher and way of check to improve data quality of data warehouse. First of all, the automation of data management which is realized by ETL principle make the data into a data stream., the database where the data exists become as starting point of ETL, saving the data warehouse with ultimate high-quality data as the end of ETL. Second, for the data which the ETL data flow has been formed to generate example, for the data which complete ETL processes structure to handling historical information, thus ensuring that the ETL flow can monitoring. Third, building the processing logic of ETL tectonic processes, is the core of constructing high-quality data, constructing the automated calibration procedures...
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...Introduction Sysco is a global leader in selling, marketing and distributing food products to restaurants, healthcare and educational facilities, lodging establishments and any other customer who prepares meals away from home. Sysco currently has more than 180 locations throughout the United States, Canada and Ireland with about 400,000 customers making up their portfolio. Sysco offers a wide variety of products which range from ingredients in menu items, as well as, both preparation and serving items. From Sysco’s initial public offering (IPO) in 1970, their sales have grown from $115 million to $37 billion for the fiscal year 2010. Sysco Grand Rapids is one of the numerous Midwest offices that supply to Michigan, Ohio and Indiana. Some of their major customers in Grand Rapids are Bigby Coffee and Jimmy Johns, including many others, which Sysco has national contracts with. Sysco currently holds about 17 percent of the food service market share, which is a $200 billion industry. Some of Sysco’s major competitors that make up the rest of the market share include Gordon Food Service (GFS) and U.S. Foods, which is Sysco’s largest competitor nationwide. Sysco Grand Rapids sees the competition a little differently locally than the company does as a whole, with GFS being their largest competitor. The reason GFS is the largest competitor in Grand Rapids is because they do not serve the entire nation, rather they are more prevalent in the Midwest states. ...
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...outlets. The Company recently installed the YMS (Yard Management System), which we have integrated with our WMS (Warehouse Management System) and TMS (Transport Management System). Our expectation was improved performance in over-a-road transportation equipment utilization, driver productivity, and warehouse dock/door utilization. Our company is No.1 distribution in the country and we have 80% of local markets to supply. A warehouse management system (WMS) is a key part of the supply chain and primarily aims to control the movement and storage of materials within a warehouse and process the associated transactions, including shipping, receiving, put away , Label printing, Storage, Inventory control, ordering fulfillment, Cycle counting and picking. A WMS monitors the progress of products through the warehouse. It involves the physical warehouse infrastructure, tracking systems, and communication between product stations. More precisely, warehouse management involves the receipt, storage and movement of goods, (normally finished goods), to intermediate storage locations or to a final customer. Warehouse management is an aspect of logistics and management. A WMS fully automates and streamlines the entire order fulfillment process with higher efficiency. For total visibility, flexibility and scalability, WMS provides our organization with the key to bigger success with just a click away. A Transportation Management System (TMS) is a software and helping business and organizations...
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...the warehouse vary in shape, size and weight in order to manage the merchandise efficiently the company needs to come up with strategies to manage their inventory better as their current warehouses don’t have sufficient space to store all the merchandize efficiently. Their current warehouses are incompetent and have scarce resources such as lower ceilings, fewer docks, few elevators and the warehouses are not well equipped with technology. They have been unable to accommodate 21st century supply chain function due to obsolete warehousing operations and space constraints that could potentially obstruct their future sales growth. Supporting Evidence: The division faced inadequacies in serving $33 million in sales from this warehouse. The main warehouse was built in 1950’s before establishment of trailers and trucks. It had weak ceiling and no mechanized material handling equipment. According to surveys service was the second most important in deciding upon an office supply vendor, defined by most as 24- hour delivery and at least a 90% fill rate. This warehouse was not only facing challenges to meet the present customer needs alone, but also warehouse capacity constraints. Warehouse at Carpenter Street had only two docks, two forklifts and weak floors. It was shedding layers of paint, plaster and dirt on workers. The warehouses had weak floors due to which handling and stocking of merchandise was done by hand, the floors didn’t support use of forklifts. The warehouses had...
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...PGP2015-17 Project Report on Recent trends in Ecommerce logistic and their adaptation in Steel Logistics process To Mr. Gopal Kapoor & Mr. Alok Singh Student Name: - Suraj Tripathy Roll number: - PGP/19/350 Introduction The fast development of information and mobile technology in the past few years is changing many aspects of our lives i.e. how we look for the information we seek, how we plan our travel and most of all how we buy products or services. Even though classic store based retail is still preferred, e-commerce, which involves buying and selling of products and services mainly through electronic channels, like computer, tablets, mobiles etc. is gaining ground. The most common form of e-commerce is online shopping. Ecommerce can be of mainly three categories. Most common is business to consumer e-commerce (B2C), where individual customers order various products online, which they then receive through courier, parcel or by post. Second category of e-commerce focuses mainly on transactions between companies or businesses, such as manufacturers and a wholesaler, similarly from wholesalers and retailers and vice versa is called business to business e-commerce (B2B). The next category of e-commerce refers to the transactions between...
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...the Indonesian economy over many generations. Bank Mandiri is currently at an advanced stage of the implementation of its 2010-2014 transformation program as part of which the Bank is working toward revitalizing its vision “To be the most admired and progressive Financial Institution in Indonesia”. To achieve this vision, the focus of Bank Mandiri’s business transformation in 2010 will focus on 3 (three) business areas, namely: Wholesale transactions, Retail deposits & payments, and Retail financing. These three focus areas are supported by the strengthened organization and the infrastructure improvements (branches, IT, operations, risk management) so as to provide integrated service solutions. In addition, the Bank is also supported by skilled human resources, constantly updated technology, prudent business practices and risk management, and a strong track record of good corporate governance. (Source: Bank Mandiri 2013 Annual Report) Question 1 a) Describe your understanding of the term competitive advantage in an industry or marketplace. Ans: An advantage that a firm has over its...
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...Implementation of a Data Warehouse Prototype for the University of Nairobi within the Context of Relational Online Analytical Processing (Data Analysis) PRESENTED BY: 1. JORAM KIPLIMO D61/68960/2013 0724431978 . PRESENTED TO: Dr. Muranga Njihia Word count: 2752 ABSTRACT Data ware housing is a booming industry with many interesting research problem. The data warehouse is concentrated on only few aspects. The discussion here is about the data warehouse design and usage in the case of the University of Nairobi Environment. Data warehouse can be built using a top-down approach, bottom – down approach or a combination of both. In this research paper we are discussing about the data warehouse design process. Data Warehouse (DWH) systems are used by decision makers for performance measurement and decision support. Currently the main focus of the DWH research field is not as much on the interaction of the DWH with the organization, its context and the way it supports the organization’s strategic goals, as on database issues. The aim of the study is to emphasize and describe the relationship between the DWH and the organization with conceptual models, and to use this knowledge to support data interpretation with business metadata. KEYWORDS Data Warehouse (DWH) Data Mart Extraction, Transformation and Loading (ETL); Software that is used to extract data from a data source like a operational system or data warehouse, modify the data and...
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...[Type text] DATA WAREHOUSE Introduction In todays competitive and information packed age, management, executives and business users need well organized data for decision support and for the organizational planning. Decision Support Systems (DSS) were developed to aid executives and managers to better understand the information and facilitate at making better decisions. But DSS has its own limitations. Due to the information requirement and their complexity, it was difficult for Decision Support System to extract all necessary information from the data. Therefore to overcome this drawback, a new data storage system, called the Data Warehouse was developed. What is a Data Warehouse? A data warehouse is a relational database. It is not used for daily routine transaction processing. It contains remarkable (having great significance) data derived from the transaction data. It also contains data from other sources like external systems, or applications. It is designed for query and analysis. Copyright 2011. Do not copy or publish any part of this document without author's permission. [Type text] Data Warehouse Vs Traditional Database A database is a collection of the relational data. Database system comprises of a database and database software. Similarly, a data warehouse is a collection of relational data as well as supporting system. If we look closer at it, we will find that both the traditional database and the data warehouse have indexes, fields, keys, views...
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...University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Management Department Faculty Publications Management Department 8-1-2008 A Strategy for Third-Party Logistics Systems: A Case Analysis Using the Blue Ocean Strategy Changsu Kim Yeongnam University, Korea, c.kim@yumail.ac.kr Kyung Hoon Yang University of Wisconsin-La Crosse, kyang@uwlax.edu Jaekyung Kim University of Nebraska - Lincoln, jkim6@unl.edu Follow this and additional works at: http://digitalcommons.unl.edu/managementfacpub Part of the Management Sciences and Quantitative Methods Commons Kim, Changsu; Hoon Yang, Kyung; and Kim, Jaekyung, "A Strategy for Third-Party Logistics Systems: A Case Analysis Using the Blue Ocean Strategy" (2008). Management Department Faculty Publications. Paper 4. http://digitalcommons.unl.edu/managementfacpub/4 This Article is brought to you for free and open access by the Management Department at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Management Department Faculty Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Published in Omega 36:4 (August 2008), pp. 522–534; Special Issue on Logistics: New Perspectives and Challenges; doi 10.1016/j.omega.2006.11.011 Guest Editors — Angappa Gunasekaran and T.C. Edwin Cheng. Copyright © 2007 Elsevier Ltd. Used by permission. http://www.sciencedirect.com/science/journal/03050483 Submitted May 31, 2006;...
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