Multiple Criteria Inventory Classification for Storage Assignment and a Case Study

Abstract. Warehouse management has been turned into a more complicated issue depending on dynamics pertain to customer, good, speed and cost. It’s an inefficient and difficult approach to control all the stored items at the same level. Based on these; the main purpose of this study is bringing in a policy for warehouse management with the help of ABC Analysis via submitting the goods to inventory based classification. The goods will be assigned to slots according to their distances to the I/O point (Input/output point) by considering their importance orders at the end. In this context, DEMATEL method is utilized besides the Multi Criteria ABC Analysis methods used in literature. Initially Multi Criteria Decision Making techniques with weighted linear optimization, and in the following in order to make these calculations more accurate, calculation of cross evaluation of goods has been made in the literature. However, when we consider the calculation of cases which has increased numbers of goods, classification will be pretty hard. Thence, only cross evaluation points of goodsexceeding a threshold value when we apply DEMATEL method are calculated and applied to classification. On a model warehouse, mentioned techniques are benchmarked and it is shown that the approach, which is offered by us, reached similar or better results than the approaches in the literature in less time.Keywords. ABC Analysis, Multi Criteria Decision Making, Warehouse Management.JEL. M10, M11, M14

Evolution of automatic storage systems in Flexible Manufacturing Systems

[EN] This article aims to compare the evolution and status of automated warehouses into industrial level. From a historical remark the main research on this type of stores are related, mainly based on algorithms for solving goals, in order to improve the efficiency of all elements that constitute an automatic warehouse. Finally the latest research, trying to identify the research in progress and any improvements occur in the future, are reviewed.[ES] Este artículo trata de analizar la evolución y situación de los almacenes automáticos a nivel industrial. Desde una puntualización histórica, se relacionan las principales investigaciones en torno a este tipo de almacenes, principalmente basadas en algoritmos de resolución de los objetivos, con el fin de mejorar la eficiencia del conjunto de elementos que constituye un almacén automático. Por último, se repasan las últimas investigaciones tratando de identificar las líneas de investigación en curso y las posibles mejoras que tengan lugar en el futuro.Bautista Rodríguez, D.; Cremades Grau, R.; Juárez Varón, D. (2014). Evolución de los sistemas de almacenamiento automático en sistemas de fabricación flexible. 3C Tecnología. 3(5):257-267. http://hdl.handle.net/10251/77702S2572673

The storage location assignment problem: A literature review

The storage of goods plays a crucial role in warehouse management systems. Although this operation is often considered simple, it is in fact complex, due to the volume of products, the uncertainty in demands, and the rapid customer service response that the market requires. Moreover, the optimization of logistical resources to maintain an efficient operational flow, such as the allocation of storage spaces, often requires complex decisions. In this paper, we analyze academic contributions on the storage location assignment problem published between 2005 and 2017. The literature is classified according to the solution methods, objectives, and related considerations. Suggestions are also provided for future research

Examining the Impact of Information Technology on Healthcare Performance: A Theory of Swift and Even Flow (TSEF) Perspective

The impact of information technologies on manufacturing operations and performance is well established. However, scant research has been devoted to examining information technology (IT) investment among hospitals and how it influences patient care and financial performance. Using the lens of the Theory of Swift Even Flow (TSEF), we present an operations management-based perspective on the effect of IT in streamlining hospital operations. Specifically, we examined the role of IT on patient flow and its consequences for improved hospital efficiency and performance. Analysis of data from 567 U.S. hospitals shows that IT is associated with swift and even patient flow, which in turn is associated with improved revenues. Interestingly, we find that the improvement in financial performance is not at the expense of quality because we find similar effects of IT and patient flow in improvements in the quality of patient care. Further, we observed differential effects of swift flow and even flow on various measures of hospital performance. Although swift flow affects financial performance, even flow primarily affects quality performance. Taken together, they have a mutually reinforcing overall impact on hospital performance. The implications of these findings for hospital decision makers are that patient flow is an important mediating variable that is affected by IT and can significantly affect the quality of patient care and financial performance

Proceedings of the International Workshop "Innovation Information Technologies: Theory and Practice": Dresden, Germany, September 06-10.2010

This International Workshop is a high quality seminar providing a forum for the exchange of scientific achievements between research communities of different universities and research institutes in the area of innovation information technologies. It is a continuation of the Russian-German Workshops that have been organized by the universities in Dresden, Karlsruhe and Ufa before. The workshop was arranged in 9 sessions covering the major topics: Modern Trends in Information Technology, Knowledge Based Systems and Semantic Modelling, Software Technology and High Performance Computing, Geo-Information Systems and Virtual Reality, System and Process Engineering, Process Control and Management and Corporate Information Systems

Federal Register

Daily publication of the U.S. Office of the Federal Register contains rules and regulations, proposed legislation and rule changes, and other notices, including "Presidential proclamations and Executive Orders, Federal agency documents having general applicability and legal effect, documents required to be published by act of Congress, and other Federal agency documents of public interest" (p. ii). Table of Contents starts on page iii

Neuro-fuzzy resource forecast in site suitability assessment for wind and solar energy: a mini review

Abstract:Site suitability problems in renewable energy studies have taken a new turn since the advent of geographical information system (GIS). GIS has been used for site suitability analysis for renewable energy due to its prowess in processing and analyzing attributes with geospatial components. Multi-criteria decision making (MCDM) tools are further used for criteria ranking in the order of influence on the study. Upon location of most appropriate sites, the need for intelligent resource forecast to aid in strategic and operational planning becomes necessary if viability of the investment will be enhanced and resource variability will be better understood. One of such intelligent models is the adaptive neuro-fuzzy inference system (ANFIS) and its variants. This study presents a mini-review of GIS-based MCDM facility location problems in wind and solar resource site suitability analysis and resource forecast using ANFIS-based models. We further present a framework for the integration of the two concepts in wind and solar energy studies. Various MCDM techniques for decision making with their strengths and weaknesses were presented. Country specific studies which apply GIS-based method in site suitability were presented with criteria considered. Similarly, country-specific studies in ANFIS-based resource forecasts for wind and solar energy were also presented. From our findings, there has been no technically valid range of values for spatial criteria and the analytical hierarchical process (AHP) has been commonly used for criteria ranking leaving other techniques less explored. Also, hybrid ANFIS models are more effective compared to standalone ANFIS models in resource forecast, and ANFIS optimized with population-based models has been mostly used. Finally, we present a roadmap for integrating GIS-MCDM site suitability studies with ANFIS-based modeling for improved strategic and operational planning

Design of an information system that connects retail banks and customers

The Swedish company Skyforge Financial Solutions AB (www.skyforge.se) is working on the new product MyBudget that will be part of an internet banking solution. The current version of the software extracts the spending information from the bank's transactions and then organize it graphically. My work is aimed to design a new concept the next major vision of MyBudget. It will be analyzed the stream of information between banks and customers, it will be evaluated if it is possible to have a deeper analysis of the available information about the customers so that the banks can improve their business, and then there will be some comments about the implication of the usage of this prototype by the customers in their way of spending money. The policy of research agreed with the company is to nd a "win-win" solution between banks and customers. Both of them should receive more information and then more advantages. MyBudget will have the technology that will make this possible. Sweden and nordic countries will be the rst reference market. The best practices of money management will be borrowed from companies processes to design solutions to improve the banks' customers spending behavior. This thesis is based on the work done in my whole university career but, mostly in the following courses taken in Lund University: - Strategic Management and Information Systems - Decision Support Systems - Design of Business Rules Systems - Business Intelligence and Securit

Decision Support Systems

Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference