A Computer-Aided Process Simulation Model to Navigate Value Chain Reconfiguration Using a Three-Layered Methodology

This paper develops a computer-aided process simulation model (CPSM) to navigate value chain reconfiguration. The model uses a three-layered methodology incorporating the principle of knowledge-integrated traceability (KIT) to create more efficient performance measures and provides a rigorous and stepwise clustered module structure that will act as a guideline for all entities decision makers are involved. The model is based on three kinds of mature toolsets variable. First, an in-depth interview of a group of experts makes the BSC (Balanced Scorecard) KIT model along with AHP (Analytic Hierarchy Process) technique into an integrated AHP-BSC structure. Second, internal validation of core propositions during CPSM development is then used to construct an account both qualitative and quantitative decision factors in the best delivery causality diagram of theory-building mode. Defining the KIT of toolset variables into two specific themes allows a practical hierarchy for AHP-BSC structure to be evaluated without excessive computation barriers, and the systems thinking archetype of strategic activities in the ARIS-EPCs (Architecture of Integrated Information System/extending Event-driven Process Chains) architecture delivers the validity and reliability of research methodology as validation model of CPSM development. Third, the hybrid ST-ARIS (System Thinking) simulation model is constructed based on the feasibility test of relevant decision factors whether or not KPI (Key Performance Indicator) could be measured. The reconfiguration provides new insights for contributing to the foundations to link the process capability of the value chain with the three-layered methodology, and emphasises the CPSM development by highlighting a specific approach associated with KIT.

[1]  Hajo A. Reijers,et al.  Development of a decision-making strategy to improve the efficiency of BPR , 2009, Expert Syst. Appl..

[2]  Seongcheol Kim,et al.  Developing a decision model for business process outsourcing , 2007, Comput. Oper. Res..

[3]  Angela Lee,et al.  The use of a multi‐attribute tool for evaluating accessibility in buildings: the AHP approach , 2007 .

[4]  Mike P. Papazoglou,et al.  Integrated value chains and their implications from a business and technology standpoint , 2000, Decis. Support Syst..

[5]  N. Jawahar,et al.  A genetic algorithm for the two-stage supply chain distribution problem associated with a fixed charge , 2009, Eur. J. Oper. Res..

[6]  Mustafa Yurdakul,et al.  AHP as a strategic decision-making tool to justify machine tool selection , 2004 .

[7]  Kwan Hee Han,et al.  Two-stage process analysis using the process-based performance measurement framework and business process simulation , 2009, Expert Syst. Appl..

[8]  Jose L. Salmeron,et al.  An AHP-based methodology to rank critical success factors of executive information systems , 2005, Comput. Stand. Interfaces.

[9]  Hao-Chen Huang,et al.  Designing a knowledge-based system for strategic planning: A balanced scorecard perspective , 2009, Expert Syst. Appl..

[10]  Theo Haupt,et al.  Key performance indicators and assessment methods for infrastructure sustainability—a South African construction industry perspective , 2007 .

[11]  Nikos I. Karacapilidis,et al.  A knowledge centred framework for collaborative business process modelling , 2006, Bus. Process. Manag. J..

[12]  Claudia Löbbecke,et al.  Development of a model-based netsourcing decision support system using a five-stage methodology , 2009, Eur. J. Oper. Res..

[13]  Nicole Coviello,et al.  Integrating qualitative and quantitative techniques in network analysis , 2005 .

[14]  J. Bertrand,et al.  Operations management research methodologies using quantitative modeling , 2002 .

[15]  Hamidreza Eskandari,et al.  Value chain analysis using hybrid simulation and AHP , 2007 .

[16]  Wen-Chin Chen,et al.  A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan , 2008, Expert Syst. Appl..

[17]  Heng Li,et al.  Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems , 2008 .

[18]  Ed O'Donnell,et al.  Enterprise risk management: A systems-thinking framework for the event identification phase , 2005, Int. J. Account. Inf. Syst..