TY - CONF TI - Designing Municipal Waste Management Programs Using Choosing by Advantages and Design Structure Matrix C1 - Dublin, Ireland C3 - Proc. 27th Annual Conference of the International Group for Lean Construction (IGLC) SP - 1345 EP - 1368 PY - 2019 DO - 10.24928/2019/0194 AU - Perez, Catalina AU - Arroyo, Paz AD - Master Student, Department of Construction Engineering and Management, Pontificia Universidad Católica de Chile AD - DPR Quality Leader, San Francisco, CA, PazA@dpr.com. and Adjunct Professor, Department of Construction Engineering and Management, Pontificia Universidad Católica de Chile AB - Designing public environmental policies is not an easy task. Decision makers must consider multiple social, environmental and economic aspects in order to achieve sustainable solutions. They must also manage interrelated information and preferences of different stakeholders to ensure that the policy suits the community and accomplishes its goals. This research study focused on analyzing the design process of environmental public policies using the Choosing by Advantages (CBA) decision system integrated with Design Structure Matrix (DSM) to make complex decisions. A case study involving the redesign of a waste collection program was conducted, where three complex decisions were made using the CBA method. Researchers proposed using DSM to decrease negative iterations by finding the optimal order of decisions. Using DSM helped to decrease the number of iteration loops, and document the assumptions to make the process more transparent. Future work should measure the impacts of using CBA together with DSM to make decisions in the formulation process of public environmental policies. KW - Waste KW - choosing by advantages KW - design structure matrix KW - negative iteration KW - sustainability PB - T2 - Proc. 27th Annual Conference of the International Group for Lean Construction (IGLC) DA - 2019/07/03 CY - Dublin, Ireland L1 - http://iglc.net/Papers/Details/1705/pdf L2 - http://iglc.net/Papers/Details/1705 N1 - Export Date: 29 March 2024 DB - IGLC.net DP - IGLC LA - English ER -