A multi-objective location inventory routing problem with pricing decisions in a sustainable waste management system

2021 ◽  
Vol 75 ◽  
pp. 103319
Author(s):  
Masoud Rabbani ◽  
Kimiya Rahmani Mokarrari ◽  
Niloofar Akbarian-saravi
Keyword(s):  
Waste Management ◽  
Management System ◽  
Inventory Routing ◽  
Sustainable Waste Management ◽  
Routing Problem ◽  
Inventory Routing Problem ◽  
Waste Management System ◽  
Multi Objective ◽  
Pricing Decisions

scholarly journals Establishing a Sustainable Waste Management System in a Transitional Economic Context: Analysis of the Socio-Economic Dynamics

2020 ◽  
Vol 12 (9) ◽  
pp. 3887
Author(s):  
Andreas Fehr ◽  
Teo Urushadze ◽  
Nikolas Zöller ◽  
Béatrice Knerr ◽  
Angelika Ploeger ◽  
...  
Keyword(s):  
Waste Management ◽  
Narrative Analysis ◽  
Management System ◽  
Research Study ◽  
Local Level ◽  
Management Plan ◽  
Sustainable Waste Management ◽  
Context Analysis ◽  
Waste Management System ◽  
The Social

Establishing a sustainable waste management system concerns multiple aspects of the prospected geo-locations. Among them, the dynamics of the socio-economy play a crucial role. Based on the idea of circular economy (CE), the amount of waste, in general, should be reduced and the process of social involvement is embedded. This study aims to examine the social willingness towards a sustainable waste management system at a local level in Georgia. The research study was conducted with waste management analyses in Marneuli city in the South-Eastern Georgian district of Kvemo Kartli, as well as a survey in 510 households in Marneuli. A descriptive statistical analysis and a narrative analysis were used to evaluate the results of the survey. In Georgia, as a transitional country, local participation is still not well developed. However, this research study shows that the potentiality and the social request for the environmental actions at a local level exist. The key results of this study are that the robust connection with the locals is a fundamental factor in implementing a sustainable waste management plan at a local level.

scholarly journals Toward integrated and sustainable waste management system in University of Malaya: UM zero waste campaign

2018 ◽  
Vol 48 ◽  
pp. 04007
Author(s):  
Sumiani Yusoff
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Management System ◽  
Pollution Prevention ◽  
Environmental Benefits ◽  
Management Model ◽  
Low Carbon ◽  
Sustainable Waste Management ◽  
Zero Waste ◽  
Waste Management System

With the escalated increase in municipal solid waste (MSW) generation in Malaysia reaching a shocking 38,000 ton/day in 2017, a sustainable waste management system is much desired. Nationwide, there are 176 landfills but only 8 are sanitary landfill with the rest are open dumpsites. In the campus of University of Malaya, UM Zero Waste Campaign (UM ZWC) was introduced in 2011 to start a long-term campaign to achieve an integrated and sustainable waste management model and ultimately a zero-waste campus. Since year 2015, UM ZWC is fully funded by Sustainability Science Research Cluster of UM (Susci) as one of the living labs of UM as well as by JPPHB under the RMK-11 budget. UM ZWC operating projects including in house composting center, food waste segregation scheme, research composting emission and waste characterization, anaerobic digestion (AD), used clothes collection program, wood waste separate collection, e-waste collection and drop-off recycling collection were initiated under the campaign. Since the inception of the project in 2011 until December 2017, almost over 620 tons of solid waste has been diverted from disposal in landfill with composting, AD, recycling, re-use and energy recovery. A roadmap of UM ZWC was drawn up in 2013, with a goal to achieve 60% landfill diversion by year 2040. In the next 5-10 years, UM ZWC plays a vital role to formalize the recycling collection in UM and further increase the organic waste recycling with green waste shredding and composting. Besides environmental benefits (pollution prevention and carbon emission reduction), UM ZWC brings various benefits such as academic research opportunities for UM, contribute in UM LCCF (Low carbon city framework) target and serve as platform to improve students soft skills and entrepreneur skill. Multi stakeholders participation, support form top management and industrial collaboration are the key factors that are able to drive the development of a sustainable waste management model in UM campus.

scholarly journals Inventory Routing Problem in Supply Chain of Perishable Products under Cost Uncertainty

Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 382 ◽  
Author(s):  
Muhammad Imran ◽  
Muhammad Salman Habib ◽  
Amjad Hussain ◽  
Naveed Ahmed ◽  
Abdulrahman M. Al-Ahmari
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Surgical Instruments ◽  
Perishable Products ◽  
Inventory Routing ◽  
Routing Problem ◽  
Cost Uncertainty ◽  
Priority Index ◽  
Inventory Routing Problem ◽  
Multi Objective

This paper presents a multi-objective, multi-period inventory routing problem in the supply chain of perishable products under uncertain costs. In addition to traditional objectives of cost and greenhouse gas (GHG) emission minimization, a novel objective of priority index maximization has been introduced in the model. The priority index quantifies the qualitative social aspects, such as coordination, trust, behavior, and long-term relationships among the stakeholders. In a multi-echelon supply chain, the performance of distributor/retailer is affected by the performance of supplier/distributor. The priority index measures the relative performance index of each player within the supply chain. The maximization of priority index ensures the achievement of social sustainability in the supply chain. Moreover, to model cost uncertainty, a time series integrated regression fuzzy method is developed. This research comprises of three phases. In the first phase, a mixed-integer multi-objective mathematical model while considering the cost uncertainty has been formulated. In order to determine the parameters for priority index objective function, a two-phase fuzzy inference process is used and the rest of the objectives (cost and GHG) have been modeled mathematically. The second phase involves the development of solution methodology. In this phase, to solve the mathematical model, a modified interactive multi-objective fuzzy programming has been employed that incorporates experts’ preferences for objective satisfaction based on their experiences. Finally, in the third phase, a case study of the supply chain of surgical instruments is presented as an example. The results of the case provide optimal flow of products from suppliers to hospitals and the optimal sequence of the visits of different vehicle types that minimize total cost, GHG emissions, and maximizes the priority index.

scholarly journals Predictive Analysis based Efficient Routing of Smart Garbage Bins for Effective Waste Management

2019 ◽  
Vol 8 (3) ◽  
pp. 5733-5739
Keyword(s):  
Linear Regression ◽  
Waste Management ◽  
Management System ◽  
Web Application ◽  
Routing Algorithm ◽  
Co2 Concentration ◽  
Sensor Data ◽  
Predictive Analysis ◽  
Routing Problem ◽  
Waste Management System

The crux of an effective waste management system is a well-organized routing algorithm that aids to collect the garbage from the bins efficiently and thereby eliminate the overflow of the garbage bins. To automate the garbage collection, the bins use a smart integrated sensing system. Three sensors (ultrasonic, load and gas sensors) are equipped in the proposed garbage bin to sense the level, weight and Carbon-di-oxide (CO2 ) concentration of the garbage in the bin. A dedicated webpage is assigned to monitor the collected garbage bin sensor data continuously. If the bin reaches the maximum waste level or weight or CO2 level (threshold) it will be marked as “Ready to be picked up”. Scheduling the route(s) and allocating pickup vehicle(s) to collect the filled bins is a significant concern for the efficiency of any waste management system. This scheduling problem boils down to a capacitated arc routing problem (CARP).Considering multiple trips for the available vehicles, capacity of the vehicle, capacity of the bins to be collected, etc., as factors a heuristic algorithm for an efficient routing is proposed in this paper. The primary aimof the proposed heuristic routing algorithm is to reduce the total usage cost of vehicles by minimizing total traversed distance. Predictive analysis algorithms will aid the pickup trucks to be used to the fullest capacity even though there are only few bins to collect so that better efficiency is achieved. In this paper, simple linear regression and multiple linear regression algorithms are applied to suggest the bins (that will be filled in near future) to be added to the route that will help achieve maximum usage of truck capacity. The waste management web application allows the admin to add these bins to the route and authorize the same for the drivers.

Innovating the Design and Implementation of an Integrated and Sustainable Waste Management System (ISWMS)-A hybrid approach

2021 ◽  
Vol 12 (01) ◽  
Author(s):  
Wei Li ◽  
Keyword(s):  
Action Research ◽  
Waste Management ◽  
Management System ◽  
Research Method ◽  
Hybrid Approach ◽  
Academic Research ◽  
Governance Structure ◽  
Sustainable Waste Management ◽  
Top Down ◽  
Waste Management System

The paper proposes a hybrid approach to design and implement an integrated and sustainable waste management system that is carbon-efficient and cost-effective. This system will bring benefits for socially and economically disadvantaged communities. Former research has shown that relying only on a bottom-up approach might fail to resolve conflicts and garner for sufficient external resource support; relying merely on top-down approach could fail to obtain community’s trusts and sustain the system. The paper suggests combining community-led innovation and top-down policy/regulatory changes to avoid the tension. The paper recommends using both academic and action research methods to design and implement such a system. As for the academic research method, the paper suggests conducting institutional and stakeholder analysis. As for the action research method, the paper suggests assisting the target communities to establish and utilize an inclusive and adaptive governance structure, in order to mobilize social, political and economic resources.

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