WSC 2005

WSC 2005 Final Abstracts

Business Process Modeling Track

Wednesday 8:30:00 AM 10:00:00 AM
Supply Chains in Buisness Process Modeling

Chair: Hamidreza Eskandari (University of Central Florida)

Simulation Analysis of Inbound Call Center of a City-gas Company
Soemon Takakuwa (Nagoya University) and Takako Okada (Matsushita Electric Industrial Co., Ltd.)

An inbound call center of a city-gas company was simulated to examine the proper target of the service level procedures were proposed to find the optimal number of agents, considering their skills and the scheduling of the agents to meet the frequency of customer calls. First, integer programming was adopted to obtain an initial feasible solution. Second, a special-purpose system was designed and developed to modify planned recesses for each agent. Then, optimal solutions were obtained by performing simulation together with direct-search methods. The proposed procedure was applied to a real case in order to confirm its effectiveness.

Using Simulation for Economic Policy Analysis in the Global Agricultural Supply Chain
James N. Barnes (Louisiana State University) and Nicholas G. Kalaitzandonakes and Thomas J. Crowe (University of Missouri)

The purpose of this paper is to demonstrate how discrete simulation can be used to measure the impact regulation has on business processes and therefore contractual costs in global agricultural supply chains. In particular, we examine how regulation of genetically modified organisms (GMOs) in the European Union (EU) affects the cost of contracting for soybean supplies between farmers and grain elevator firms in the U.S. Using a simulation model of business processes at a grain elevator operation, we examine how sensitive contract costs are to changes in a purity threshold for non-GMO content set by EU regulation. Results indicate elevator business processes are extremely sensitive to changes in non-GMO thresholds. Even at small changes in purity, contracting costs varied between $0.04-0.09 cents per bushel. The implication is regulation of GMOs might protect EU consumer rights, but protection may be costly and borne by agribusinesses in the U.S. agricultural supply chain.

Supporting Simulation-based Decision Making with the Use of AHP Analysis
Luis Rabelo, Hamidreza Eskandari, Tarek Shalan, and Magdy Helal (University of Central Florida)

Traditionally decisions made based on simulation models have been the outcomes of complicated statistical analyses and having confidence in them is a subjective matter. Hybrid simulation offers an improved approach to better model real life systems and increase confidence in their outcomes. In particular hybrid discrete-continuous simulation has the potentials to reduce the impact of statistics in building models in addition to other significant benefits. In this paper we use hybrid models of discrete-event simulation and system dynamics to analyze global supply chain decisions. And to increase the decision makers’ confidence as well as to make use of their experiences we apply the Analytic Hierarchical Process (AHP) analysis to the simulation results in order to reach better decisions. We describe the benefits of the use of the hybrid simulation and the added advantages of using AHP in order to maximize shareholder value.

Wednesday 10:30:00 AM 12:00:00 PM
Business Process Modeling Infrastructure

Chair: Lianjun An (IBM Watson Research Center)

An Integrated And Adaptive Decision-Support Framework For High-Tech Manufacturing And Service Networks
Peter Lendermann, Malcolm Yoke Hean Low, Boon Ping Gan, Nirupam Julka, and Lai Peng Chan (Singapore Institute of Manufacturing Technology), Stephen J. Turner, Wentong Cai, and Xiaoguang Wang (Nanyang Technological University), Loo Hay Lee (National University of Singapore), Terence Hung (Institute of High Performance Computing), Simon J. E. Taylor (Brunel University), Leon F. McGinnis (Georgia Institute of Technology) and Stephen Buckley (IBM Research)

This article describes the results of one of the ten pilot programmes under the Integrated Manufacturing and Service Systems (IMSS) initiative pursued by the Agency for Science, Technology and Research (A*STAR) in Singapore. The objective of this particular programme is to investigate how design, analysis, enhancement and implementation of critical business processes in a manufacturing and service network can be realised using one single simulation/application framework. The overall architecture of the framework outlines how commercial simulation packages and web-service based business process application components would have to be connected through a commercial application framework to achieve maximum leverage and re-usability of the applications involved. In the pilot phase of this programme, research issues were also addressed with regard to mechanisms for interoperation between commercial simulation packages, symbiotic interaction between simulation-based decision support components and physical systems, and simulation speed-up through multi-objective optimal computing budget allocation techniques on a grid infrastructure.

Using Workflow Business Process Tools in Simulation Modeling
John G. Everton and Richard D. Stafford (Brooks Automation)

This article will present several model automation strategies used to improve the modeling operations such as data maintenance, model analysis and model visualization. There are several new products that have emerged in academics and industry that help reduce the costs of simulation and provide a solution that obtains more ROI from a new and/or existing simulation model. In addition these modeling techniques provide the capability to make models an operational component of a manufacturing system. As an operational component, models can provide planned work schedules, prediction estimates, and an operational decision tool that engineers and managers can used in making better operational decisions.

On Developing System Dynamics Model for Business Process Simulation
Lianjun An and Jun-Jang Jeng (IBM Watson Research Center)

Business operations can be formally described in business process models that capture activities, information, and flow embedded in business operation. System dynamics modeling is a set of conceptual tools that enable business process designers to build computer simulations of complex business process behaviors. System dynamics models provide accurate description of system behavior along the time dimension. It gives a convenient tool to conduct what if analysis though dynamics points of view. However, to develop system dynamics models requires keen understanding of the “physics” of the target business operations, business organizations, and financial structures and so on. This paper is aimed to provide heuristics and guidelines of developing system dynamics models based on given business process models along with associated reference contexts. An example, from supply chain management domain, of using business process models to derive system dynamics models will be given in the paper.