Weny Findiastuti, Fitri Agustina, Rullie Annisa, Ach Dafid, Iffan Maflahah, Ananda Rafli Siswanto,
Volume 0, Issue 0 (10-2024)
Abstract
Indonesia faces environmental challenges due to increased exploitation of natural resources and emissions generated by industrial production processes. This study aims to design an environmental impact mitigation strategy using the Life Cycle Assessment (LCA) method in one of the furniture industries, namely UD Putra Bali. This study includes a life cycle analysis of wooden doors which includes the stages of data collection, Life Cycle Inventory (LCI), Life Cycle Impact Assessment (LCIA), and Life Cycle Interpretation, Fishbone diagram, repair with cleaner production, and saving matrix. The results of the study show that the life cycle of wooden door products has an environmental impact of 13.1 kPt. The stage that has the greatest impact is finishing in the human toxicity water category of 11.3 kPt and shipping of finished products in the global warming category of 0.0539 kPt. The cause is sought using a fishbone diagram so that repairs can be made. Recommendations for repairs proposed are based on cleaner production. Improvements in the finishing process include replacing the paint material from thinner solvent paint to water solvent paint. Improvements in the transportation process include companies can use a cooperation contract agreement with the shipping party containing the requirements for using a minimum Euro 4 vehicle and for the shipping route, using a route that has been determined with the saving matrix nearest insert.
Hossein Jandaghi, Ali Divsalar, Mohammad Mahdi Paydar,
Volume 30, Issue 1 (3-2019)
Abstract
In this research, a new bi-objective routing problem is developed in which a conventional vehicle routing problem with time windows (VRPTW) is considered with environmental impacts and heterogeneous vehicles. In this problem, minimizing the fuel consumption (liter) as well as the length of the routes (meter) are the main objectives. Therefore, a mathematical bi-objective model is solved to create Pareto's solutions. The objectives of the proposed mathematical model are to minimize the sum of distance cost as well as fuel consumption and Co2 emission. Then, the proposed Mixed-Integer Linear Program (MILP) is solved using the ε-constraint approach Furthermore, numerical tests performed to quantify the benefits of using a comprehensive goal function with two different objectives. Managerial insights and sensitivity analysis are also performed to show how different parameters of the problem affect the computational speed and the solutions’ quality.
