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Articles 1 - 7 of 7
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Supply Chain Information Sharing In A Macro Prediction Market, Zhiling Guo, Fang Fang, Andrew B. Whinston
Supply Chain Information Sharing In A Macro Prediction Market, Zhiling Guo, Fang Fang, Andrew B. Whinston
Research Collection School Of Computing and Information Systems
This paper aims to address supply chain partners' incentives for information sharing from an information systems design perspective. Specifically, we consider a supply chain characterized by N geographically distributed retailers who order a homogeneous product from one manufacturer. Each retailer's demand risk consists of two parts: a systematic risk part that affects all retailers and an idiosyncratic risk part that only has a local effect. We propose a macro prediction market to effectively elicit and aggregate useful information about systematic demand risk. We show that such information can be used to achieve accurate demand forecast sharing and better channel coordination …
Two-Instant Reallocation In Two-Echelon Spare Parts Inventory Systems, Huawei Song, Hoong Chuin Lau
Two-Instant Reallocation In Two-Echelon Spare Parts Inventory Systems, Huawei Song, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
In this paper, we study the problem of deciding when and how to perform reallocation of existing spare parts in a multi-echelon reparable item inventory system. We present a mathematical model that solves the problem when there are two reallocation instants, in response to the open challenge post by Cao and Silver(2005) to consider two or more possible reallocations within a replenishment cycle.
Winning Back The Cup For Distributed Pomdps: Planning Over Continuous Belief Spaces, Pradeep Varakantham, Ranjit Nair, Milind Tambe, Makoto Yokoo
Winning Back The Cup For Distributed Pomdps: Planning Over Continuous Belief Spaces, Pradeep Varakantham, Ranjit Nair, Milind Tambe, Makoto Yokoo
Research Collection School Of Computing and Information Systems
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms have been proposed to obtain locally or globally optimal policies. Unfortunately, most of these algorithms have either been explicitly designed or experimentally evaluated assuming knowledge of a starting belief point, an assumption that often does not hold in complex, uncertain domains. Instead, in such domains, it is important for agents to explicitly plan over continuous belief spaces. This paper provides a novel algorithm to explicitly compute finite horizon policies over continuous belief spaces, without restricting the space of …
B2b E-Marketplaces In The Airline Industry: A Study On Process Drivers And Performance Indicators, Claudia-Maria Wagner, Bernd Huber, Edward Sweeney
B2b E-Marketplaces In The Airline Industry: A Study On Process Drivers And Performance Indicators, Claudia-Maria Wagner, Bernd Huber, Edward Sweeney
Practitioner Journals
No abstract provided.
Enterprise Resource Planning Survey Of Korean Manufacturing Firms, Lee Taehyung, Young Moon, Lee Heeseok
Enterprise Resource Planning Survey Of Korean Manufacturing Firms, Lee Taehyung, Young Moon, Lee Heeseok
Mechanical and Aerospace Engineering - All Scholarship
Enterprise Resource Planning (ERP) systems are packaged software designed to integrate and optimise the business processes of an enterprise. The ERP systems have been embraced by industry as a de facto solution to integrate their business functions. The adoption of the ERP concept is a truly global phenomenon. This paper reports a recently completed survey study on Korean manufacturing firms. The study used the same survey questionnaires used in two previous surveys done on US and Swedish manufacturing firms. Our objective is to determine the extent of adoption of the ERP system in the Korean manufacturing firms, their motivations, implementation …
Analyzing Faulty Knowledge Systems In Project-Based Environments: An Empirical Investigation In A R&D Organization, Rafael E. Landaeta, Cesar Ariel Pinto, Timothy G. Kotnour, William R. Peterson
Analyzing Faulty Knowledge Systems In Project-Based Environments: An Empirical Investigation In A R&D Organization, Rafael E. Landaeta, Cesar Ariel Pinto, Timothy G. Kotnour, William R. Peterson
Engineering Management & Systems Engineering Faculty Publications
This investigation contributes a framework of the relationships among the faulty elements of a knowledge system in a project-based organization. The framework was developed during an applied research project at a R&D organization. A knowledge system can be defined as a series of inputs, processes, and outputs that interact with each other with the purpose of enhance the performance and capabilities of an organization or work unit through knowledge. The framework was developed using literature, our experience as applied researchers, and data collected from members of a R&D organization. Data was collected through a survey, interviews, and group meetings. The …
Multiagent Teamwork: Hybrid Approaches, Praveen Paruchuri, Emma Bowring, Ranjit Nair, Jonathan Pearce, Nathan Schurr, Milind Tambe, Pradeep Varakantham
Multiagent Teamwork: Hybrid Approaches, Praveen Paruchuri, Emma Bowring, Ranjit Nair, Jonathan Pearce, Nathan Schurr, Milind Tambe, Pradeep Varakantham
Research Collection School Of Computing and Information Systems
Today within the multiagent community, we see at least four competing methods to building multiagent systems: beliefdesireintention (BDI), distributed constraint optimization (DCOP), distributed POMDPs, and auctions or game-theoretic methods. While there is exciting progress within each approach, there is a lack of cross-cutting research. This article highlights the various hybrid techniques for multiagent teamwork developed by the teamcore group. In particular, for the past decade, the TEAMCORE research group has focused on building agent teams in complex, dynamic domains. While our early work was inspired by BDI, we will present an overview of recent research that uses DCOPs and distributed …