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

Abstract

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.Balanced scorecard, analytic hierarchy process, architecture of integrated information system, event-driven process chains, systems thinking, value chain, critical success factor, key performance indicators