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Book ChapterDOI

Impact of Information Systems on Quick Response Programs

01 Jan 2010-pp 23-36

TL;DR: How each of the recent technological developments in information technology (IT) has impacted quick response (QR) program is discussed.

AbstractA quick response (QR) program is a proven system to deal with the ever changing customer's demand and requirements. Effective information system is one of the backbones to have a successful QR program. This paper discusses how each of the recent technological developments in information technology (IT) has impacted QR program. This paper also discusses the steps that companies need to take in order to take complete advantage of these IT developments, as well as the directions of where IT and QR are heading.

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Citations
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Journal ArticleDOI
TL;DR: It is found that POS based forecasting improvements are greatest when items are not frequently ordered, when there is low variance in the number of distribution center ordering an item each week, and when order quantities are neither relatively high, nor relatively low.
Abstract: Recent research has examined the use of real-time, shared point-of-sale (POS) data in forecasting. Although initial research posited that POS data can improve forecast accuracy, recent research has called some of these findings into question. We identify item order quantity, item order variability, and item order frequency of orders as specific factors that can affect the degree of improvement in POS demand forecasting accuracy when compared to order history-based techniques. Using a hierarchical linear model, we examine 60,651 orders for hundreds of items across 25 different distribution centers. We find a 11.2% overall improvement in using real-time, shared POS data in demand forecasting over order history-based forecasting. However, we find a curvilinear relationship between these improvements and both the order quantity and the item order variability. Additionally, we find that POS based forecasting improvements are greatest (1) when items are not frequently ordered, (2) when there is low variance in the number of distribution center ordering an item each week, and (3) when order quantities are neither relatively high, nor relatively low.

14 citations


Dissertation
01 Jan 2017
Abstract: Supply Chain Management has been traditionally understood as the management and optimisation of logistic processes regarding the management of flows of goods. Business research recognises the Supply Chain as mainly a support service for its key activities, and which is generally examined in regard to the technical and engineering aspects with the sole objective of finding the minimum cost solution. This research argues instead that, in the fashion industry at least, Supply Chain Management becomes a key activity in Value Chain management and therefore in the business model. As a consequence, this study is not a Supply Chain Management Study in the traditional sense but rather examines the disruptive fashion business model focusing on innovation, starting with the restructuring of the Supply Chain, based on information technology revolutionising the retail business and, particularly, the fashion industry. Information technology has generated a completely new Supply Chain Management model, leading to disruptive competitive advantage. This research focuses on the exploration of the Supply Chain at the level of the theory of the firm and the concept of the business model, rather than at a technical or operational level. The theoretical lens is at firm level examining the concept of the business model. The empirical part of this study applies qualitative and quantitative methods, as indicated. The main quantitative method is financial analysis, which enables the examination of fifteen industry-leading companies within the fashion industry. Additionally, descriptive and bivariate statistical analysis are applied to examine the statistical strength and significance of relationships between Supply Chain and business performance variables. The second part of the empirical research uses expert interviews with industry professionals to verify or falsify the findings of the statistical analysis, and to develop the findings further. The classical Supply Chain research approach is also questionable and should be revisited; typical Supply Chain research variables include efficiency, effectiveness, cycle time, postponement, whereas the main objective of Supply Chain research is the optimum configuration and design of a Supply Chain. This research study makes a unique contribution to knowledge situating the supply chain within the context of the theory of the firm and provides evidence that the Supply Chain is more than a support function, it represents a key business activity to increase competitiveness providing the infrastructure for disruptive business model innovations. The overall result of the industry case study and the expert interviews is that digitalisation changes the possibilities in the Supply Chain configuration considerably. New Supply Chain configurations enabled by digitalisation have led to disruptive business model innovations, so that Supply Chain Management has become a key business activity because it is the basis of the reorganising of the relationship between the firm’s purchase markets, product development, manufacturing, distribution channels, and the consumer market. This development represents a restricted change at a lower level of business operations but a major one at the strategic level, with implications for the theory of the firm and the theory of a firm’s growth. In this regard, the main issues of future Supply Chain research may therefore be the challenges of delivering the right goods at the right time to the right location and how to deliver the right data regarding commodity flows to the right decision maker, within the right time. The Supply Chain department may gradually become a Value Chain Management department, the business model development department, at least in the industrial firm. However, the term management may be somewhat misleading in this context because management means controlling, implementing and supervising network-centric operations in which defined production processes, reporting, distribution processes and decisions almost always initiated by real-time POS data leading to a highly responsive value chain.

11 citations


Cites methods from "Impact of Information Systems on Qu..."

  • ...The CPFR approach developed from the ECR approach (Baumgarten & Darkow, 2002, pp. 101-103) and is the basis of the the Quick Response (QR) model (Setaputra et al., 2010, p. 30; Hopper, Northcott, & Scapes, 2007, p. 39)....

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Journal ArticleDOI
07 Dec 2016
Abstract: Purpose The purpose of this paper is to present the development and implementation of a multiobjective optimization model and information system based on mobile technology, to support decision making in humanitarian logistics operations. Design/methodology/approach The trade-off between economic and social (deprivation) costs faced by governmental and nongovernmental organizations (NGOs) involved in humanitarian logistics operations is modeled through a Pareto frontier analysis, which is obtained from a multiobjective optimization model. Such analysis is supported on an information system based on mobile technology. Findings Results show useful managerial insights for decision-makers by considering both economic and social costs associated to humanitarian logistics operations. Such insights include the importance of timely and accurate information shared through mobile technology. Research limitations/implications This research presents a multiobjective approach that considers social costs, which are modeled through deprivation functions. The authors suggest that a future nonlinear approach be also considered, since there will be instances where the deprivation cost is a nonlinear function throughout time. Also, the model and information system developed may not be suitable for other humanitarian aid instances, considering the specific characteristics of the events considered on this research. Practical implications The inclusion of several types of goods, vehicles, collecting points off the ground, distributions points on the ground, available roads after a disaster took place, as well as volume and weight constraints faced under these scenarios, are considered. Social implications Deprivation costs faced by affected population after a disaster took place are considered, which supports decision making in governmental and NGOs involved in humanitarian logistics operations toward welfare of such affected population in developing countries. Originality/value A numerical illustration in the Latin American context is presented, the model and information system developed can be used in other developing countries or regions that face similar challenges toward humanitarian logistics operations.

10 citations


Journal ArticleDOI
TL;DR: A framework that considers different indispensable aspects such as topical relevance, topical authority and research interest is presented and, an integer linear programming problem is formulated with practical considerations to recommend reviewers for a group of submissions.
Abstract: In the regular work process of peer review, editors have to read and understand the entire set of submissions to choose appropriate reviewers. However, due to a large number of submissions, to select reviewers manually becomes error-prone and time-consuming. In this research, a framework that considers different indispensable aspects such as topical relevance, topical authority and research interest is presented and, an integer linear programming problem is formulated with practical considerations to recommend reviewers for a group of submissions. Specifically, the topical relevance and the topical authority are utilized to recommend relevant and accredited candidates in submission-related topics, while the research interest is to exam the willingness of candidates to review a submission. To evaluate the effectiveness of the proposed approach, categories of comparative experiments were conducted on two large scholarly datasets. Experimental results demonstrate that, compared with benchmark approaches, the proposed approach is capable to capture the research interest of reviewer candidates without a significant loss in different evaluation metrics. Our work can be helpful for editors to invite matching experts in peer review and highlight the necessity to uncover valuable information from big scholarly data for expert selection.

7 citations


Journal Article
Abstract: Encouraged by legislation, producing power through waste burning is on the increase in Europe. But in spite of its ability to reduce landfilling, environmental groups remain sceptical towards waste to energy technology such as that used by Sydkraft in Sweden.

1 citations


References
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Journal ArticleDOI
TL;DR: The author discusses the pros and cons of implementing an enterprise system, showing how a system can produce unintended and highly disruptive consequences and cautions against shifting responsibility for its adoption to technologists.
Abstract: Enterprise systems present a new model of corporate computing. They allow companies to replace their existing information systems, which are often incompatible with one another, with a single, integrated system. By streamlining data flows throughout an organization, these commercial software packages, offered by vendors like SAP, promise dramatic gains in a company's efficiency and bottom line. It's no wonder that businesses are rushing to jump on the ES bandwagon. But while these systems offer tremendous rewards, the risks they carry are equally great. Not only are the systems expensive and difficult to implement, they can also tie the hands of managers. Unlike computer systems of the past, which were typically developed in-house with a company's specific requirements in mind, enterprise systems are off-the-shelf solutions. They impose their own logic on a company's strategy, culture, and organization, often forcing companies to change the way they do business. Managers would do well to heed the horror stories of failed implementations. FoxMeyer Drug, for example, claims that its system helped drive it into bankruptcy. Drawing on examples of both successful and unsuccessful ES projects, the author discusses the pros and cons of implementing an enterprise system, showing how a system can produce unintended and highly disruptive consequences. Because of an ES's profound business implications, he cautions against shifting responsibility for its adoption to technologists. Only a general manager will be able to mediate between the imperatives of the system and the imperatives of the business.

3,636 citations


"Impact of Information Systems on Qu..." refers background in this paper

  • ...de Kok et al. (2008) studied the impacts of RFID implementation in the situation where inventory is sensitive shrinkage....

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Journal ArticleDOI
Abstract: Many companies have embarked on initiatives that enable more demand information sharing between retailers and their upstream suppliers. While the literature on such initiatives in the business press is proliferating, it is not clear how one can quantify the benefits of these initiatives and how one can identify the drivers of the magnitudes of these benefits. Using analytical models, this paper aims at addressing these questions for a simple two-level supply chain with nonstationary end demands. Our analysis suggests that the value of demand information sharing can be quite high, especially when demands are significantly correlated over time.

2,007 citations


Book
11 Oct 2002

1,782 citations


Journal ArticleDOI
TL;DR: In traditional supply chain inventory management, orders are the only information firms exchange, but information technology now allows firms to share demand and inventory data quickly and inexpensively, and it is concluded that implementing information technology to accelerate and smooth the physical flow of goods through a supply chain is significantly more valuable.
Abstract: In traditional supply chain inventory management, orders are the only information firms exchange, but information technology now allows firms to share demand and inventory data quickly and inexpensively. We study the value of sharing these data in a model with one supplier, N identical retailers, and stationary stochastic consumer demand. There are inventory holding costs and back-order penalty costs. We compare a traditional information policy that does not use shared information with a full information policy that does exploit shared information. In a numerical study we find that supply chain costs are 2.2% lower on average with the full information policy than with the traditional information policy, and the maximum difference is 12.1%. We also develop a simulation-based lower bound over all feasible policies. The cost difference between the traditional information policy and the lower bound is an upper bound on the value of information sharing: In the same study, that difference is 3.4% on average, and no more than 13.8%. We contrast the value of information sharing with two other benefits of information technology, faster and cheaper order processing, which lead to shorter lead times and smaller batch sizes, respectively. In our sample, cutting lead times nearly in half reduces costs by 21% on average, and cutting batches in half reduces costs by 22% on average. For the settings we study, we conclude that implementing information technology to accelerate and smooth the physical flow of goods through a supply chain is significantly more valuable than using information technology to expand the flow of information.

1,709 citations


Journal ArticleDOI
TL;DR: A case study of a largely successful ERP implementation is presented and key factors, software selection steps, and implementation procedures critical to a successful implementation are discussed.
Abstract: Enterprise resource planning (ERP) systems are highly complex information systems. The implementation of these systems is a difficult and high cost proposition that places tremendous demands on corporate time and resources. Many ERP implementations have been classified as failures because they did not achieve predetermined corporate goals. This article identifies success factors, software selection steps, and implementation procedures critical to a successful implementation. A case study of a largely successful ERP implementation is presented and discussed in terms of these key factors.

1,687 citations


"Impact of Information Systems on Qu..." refers background in this paper

  • ...Umble et al. (2003) presented empirical findings on the implementation and critical success factors of ERP projects....

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  • ...Umble et al. (2003) presented empirical findings on the implementation and critical success factors of ERP projects....

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