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Designing a Green Supply Chain Transportation System for an Automotive Company Based On Bi-Objective Optimization

Syah Rahmad, Nasution Mahyuddin M., Shol Vladimir Vladimirovich, Kireeva Natalia, Jalil Abduladheem Turki, Chen Tzu-Chia, Aravindhan Surendar, Abood Emad Salaam, Alkaim Ayad F.

Foundations of Computing and Decision Sciences

2022

Vol. 47, No. 2

193--207

Recently, due to the increasing awareness of communities regarding environmental issues and environmental regulations, companies have evolved to provide products with lower prices and better quality to retain and attract customers. Economics should also pay attention to environmental goals. Therefore, it is essential to provide a supply chain model that can consider both economic and environmental objectives. In this paper, the green direct supply chain network is presented to an automotive company, including five suppliers, primary warehouses, manufacturing plants, distributors, and sales centers. The objectives of this model are to minimize the total cost of construction, transportation, and the amount of carbon dioxide emissions during forwarding network transportation at all levels. The proposed model is also drawn using the weight method, which is one of the methods for solving multi-objective problems, and the solution of the model part. Ultimately, it has been discussed how much the automobile company should focus on reducing carbon dioxide so that managers can determine the best solutions from the Pareto border according to their organization's priorities, which can be environmental or financial.

Multicriteria approach for selecting the most vulnerable watershed for developing a management plan

Zardari N. H., Naubi I. B., Roslan N. A. B., Shirazi S. M.

Journal of Water and Land Development

2014

no. 23

61--68

Listing of watershed management goals/targets is one of the integral parts of the management plan for a watershed. In this paper, we have listed 18 watershed management targets for which the Malaysian watersheds could possibly be managed in future. Based on the listed watershed management targets, the priority ranking of 18 targets is developed from the relative importance weights obtained from a survey conducted from 29 stakeholders. Three weighting methods (SWING, SMART, and SMARTER) were applied to elicit weights. We found that the SMART (Simple Multi-Attribute Rating Technique) weighting method was a favorable method for eliciting stable sets of weights for the watershed management targets. The SWING weighting method produces better weights than the SMARTER method. The listed watershed management targets will assist watershed managers and decision makers in decision making to use available resources (e.g. water quality, land-use, groundwater, and many other resources) in a more efficient and sustainable manner. The efficient utilization of all resources within a watershed will ultimately save watersheds (more specifically the urbanized watersheds) from further deterioration caused by unchecked infrastructure development activities.

Określenie celów zarządzania zlewnią jest jedną z integralnych części planu zarządzania. W prezentowanej pracy ustalono 18 celów, do których w przyszłości zmierzać będzie zarządzanie zlewniami Malezji. Na podstawie tych celów ustalono ranking priorytetów, stosując wagi względnego znaczenia uzyskane w wyniku ankietowania 29 udziałowców. Dla uzyskania wag zastosowano trzy metody ważenia (SWING, SMART i SMARTER). Stwierdzono, że metoda SMART (Simple Multi-Attribute Rating Technique) była przydatna do ustalenia zestawu wag dla poszczególnych celów zarządzania zlewnią. Wagi ustalone metodą SWING były bardziej przydatne niż ustalone metodą SMARTER. Uporządkowana lista celów zarządzania będzie pomocna zarządcom i decydentom w podejmowaniu decyzji o wykorzystaniu dostępnych zasobów (jakość wody, użytkowanie ziemi, wód podziemnych i innych) w sposób bardziej efektywny i zrównoważony. Efektywne użytkowanie wszystkich zasobów zlewni uchroni je (szczególnie zlewnie zurbanizowane) od dalszego pogorszenia jakości wskutek niekontrolowanego rozwoju infrastruktury w przyszłości.