Synthesis of mixed strategy games in eco-industrial park using integrated analytic hierarchy process

• Main Authors: Leong, Yik T., Tan, Raymond Girard R., Balan, Poovarasi, Chew, Irene M. L.
• Format: text
• Published: Animo Repository 2015
• Subjects: Industrial districts; Decision making—Mathematical models; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3869
• Institution: De La Salle University

Selection problems from a set of alternatives are common in process engineering. Decision makers are often faced in the selection process with multiple criteria which are often conflicting and in some cases may be intangible or qualitative. The analytic hierarchy process (AHP) is a systematic approach to decompose complex decisions into simple sub-problems. Due to its mathematical simplicity and flexibility, AHP are integrated with different techniques such as mathematical programming, and SWOT analysis to solve complex engineering design problems involving multiple decision criteria and decision-maker. In this work, we aim to propose the application of integrated AHP (IAHP) for the formation of eco-industrial park (EIP). Due to the involvement of multiple decision-makers in an EIP, the selection of optimum resource network for EIP results in a complex decision making process to be solved by conventional mathematical optimization technique. Therefore, in this work we use IAHP to form an optimum resource conservation network in an EIP. The consensus on the cooperation among industrial players is necessary since a network cannot be established without the consent of all parties involved. Thus, the proposed IAHP models the interaction among independent and self-interested industrial players, forming a mixed strategy game. The incorporation of criteria weightings into mathematical programming using the proposed IAHP for the formation of EIP ensures Pareto optimality in the solution. A case study using a centralized chilled and cooling water network system is used to illustrate the proposed methodology. Copyright © 2015, AIDIC Servizi S.r.l.,.