Modeling Solid Waste Minimization Performance at Source in Dar es Salaam City, Tanzania

Municipal solid waste generation is strongly linked to rising human population and expanding urban areas, with significant implications on urban metabolism as well as space and place values redefinition. Effective management performance of municipal solid waste management underscores the interdisciplinarity strategies. Such knowledge and skills are paramount to uncover the sources of waste generation as well as means of waste storage, collection, recycling, transportation, handling/treatment, disposal, and monitoring. This study was conducted in Dar es Salaam city. Driven by the curiosity model of the solid waste minimization performance at source, study data was collected using focus group discussion techniques to ward-level local government officers, which was triangulated with literature and documentary review. The main themes of the FGD were situational factors (SFA) and local government by-laws (LGBY). In the FGD session, sub-themes of SFA tricked to understand how MSW minimization is related to the presence and effect of services such as land use planning, availability of landfills, solid waste transfer stations, material recovery facilities, incinerators, solid waste collection bins, solid waste trucks, solid waste management budget and solid waste collection agents. Similarly, FGD on LGBY was extended by sub-themes such as contents of the by-law, community awareness of the by-law, and by-law enforcement mechanisms. While data preparation applied an analytical hierarchy process, data analysis applied an ordinary least square (OLS) regression model for sub-criteria that explain SFA and LGBY;and OLS standard residues as variables into geographically weighted regression with a resolution of 241 × 241 meter in ArcMap v10.5. Results showed that situational factors and local government by-laws have a strong relationship with the rate of minimizing solid waste dumping in water bodies (local R square = 0.94).

Waste Minimization Through Process Integration and Multi-objective Optimization

By avoiding or reducing the production of waste, waste minimization is an effective approach to solve the pollution problem in chemical industry. Process integration supported by multi-objective optimization provides a framework for process design or process retrofit by simultaneously optimizing on the aspects of environment and economics. Multi-objective genetic algorithm is applied in this area as the solution approach for the multi-objective optimization problem.

Multiple objectives application approach to waste minimization

Besides economics and controllability, waste minimization has now become an objective in designing chemical processes, and usually leads to high costs of investment and operation. An attempt was made to minimize waste discharged from chemical reaction processes during the design and modification process while the operation conditions were also optimized to meet the requirements of technology and economics. Multiobjectives decision nonlinear programming (NLP) was employed to optimize the operation conditions of a chemical reaction process and reduce waste. A modeling language package-SPEEDUP was used to simulate the process. This paper presents a case study of the benzene production process. The flowsheet factors affecting the economics and waste generation were examined. Constraints were imposed to reduce the number of objectives and carry out optimal calculations easily. After comparisons of all possible solutions, best-compromise approach was applied to meet technological requirements and minimize waste.

Comprehensive Waste Minimization Study at an Industrial Battery Manufacturing Plant in Ohio, USA

Industrial battery manufacturing facilities generate large quantities of hazardous waste, which must be properly treated before it can be disposed. Reducing the quantities of these waste streams can significantly reduce the cost of treatment and lead to competitive advantages. Waste minimization at these facilities is beneficial for the stakeholders and the environment. The quantities of hazardous waste can be minimized by upgrading the facility＇s technology or substituting hazardous substances, which are used in the battery manufacturing process, with more environmentally friendly options. Separation of waste streams will allow for additional reuse opportunities and revenue generation from the sale of these materials, which will enhance the financial performance of the facility. This paper provides a case study of comprehensive waste minimization in a battery manufacturing plant in Ohio, USA. Source reduction, recovery, and recycling methods are taken into account with consideration given to economic impacts. The goal of the study was to develop an understanding of the facility＇s waste generating processes, to suggest methods to reduce to the waste generation and finally to select an appropriate waste minimization option to suggest the facility＇s management team. Some of the suggested methods are currently being practiced while others are at the initial stage of development.

A COST-BENEFIT ANALYSIS OF GREEN BUILDINGS WITH RESPECT TO CONSTRUCTION WASTE MINIMIZATION USING BIG DATA IN HONG KONG

It is generally accepted that the extra construction costs involved in the construction of green buildings will result in benefits including lower operation costs,higher sale/rental prices,and better sustainability performance.However,there has been little recognition of construction waste minimization(CWM)as one of the important benefits of sustainability performance as designated in green building. is paper aims to provide a better understanding of the cost benefit of green buildings with respect to CWM by using big data in the context of Hong Kong.The study is innovative in that it conducts a cost-benefit analysis specifically on CWM of green buildings by mining large-volume datasets.A surprise finding is that Hong Kong’s green building rating system(GBRS),i.e.the BEAM Plus,has a negligible effect on CWM,while it generally increases construction costs by approximately 24%.Hence,the increased construction cost of green buildings cannot be offset by CWM if corresponding items in the BEAM Plus are not properly incentivized. is paper demonstrates the necessity of emphasizing CWM-related items in GBRSs and of taking appropriate measures to deal with them.It also provides better decision-support information on the increased construction costs and the attainable benefits of green building that developers may wish to consider when initiating a green building project.

Reaction path synthesis methodology for waste minimization

It is a key step for reducing waste generation in chemical processes to design op-timal reaction paths. In this paper, methods of waste minimization for reaction path synthesis problems are proposed to realize eco-industrial production mode with minimum waste emission. A new conception of simple stoichiometric reaction is presented for reaction path synthesis problem. All simple stoichiometric reactions can be obtained by mathematical transformation for atom matrix of a reaction system. Based on the conception, a two-tier optimization method for complex reaction path synthesis problems is addressed. The first step is to determine the eco-nomic optimal overall reactions, and the second step to decompose each overall reaction into several sub-reactions and find out the best thermodynamic feasible reaction path. Further, a method of reaction path synthesis with waste closed-cycle is proposed based on simple stoichiometric reactions for achieving zero waste emission to poly-generation problem of multi-products. Case studies show that the proposed methods can efficiently solve practical re-action path synthesis problems.

The Six Sigma Approach to Solid Waste Management and Minimization： Moving towards Zero Landfill Facilities

This article provides an overview of an eleven step solid waste analysis and minimization process that is based on the six sigma approach to problem solving that may be applied at a wide variety of organizations. The six sigma approach provides a holistic process that focuses on minimizing defects, in this case, eliminating waste disposed at landfills. As many organizations are moving towards ＂zero landfill＂ facilities, such a process is needed to aid in achieving these goals. The eleven step processes provides details on establishing goals, creating process flowcharts, conducting waste sorts, data collection, establishing baseline data, identifying improvement opportunities, cost justification, executing improvement plans and validating results. The article also includes a case study that applies that eleven step process. The goal of the article is to provide the audience with a structured process to evaluate and minimize solid waste generation based on cost justified improvement opportunities.

Labour and Multi-factor Productivity Analysis and Their Impact on Operations： A Case Study of a Large Poultry Farm

This paper investigates a large integrated poultry farm in terms of its operations, its labour, and multi-factor productivity based on the operations data received from two processing plants over a period of 15 months. The purpose of this paper is to： （a） identify and classify various types of costs that impact the operational success of the farm; （b） collect data, compute labour productivity, multi-factor productivity, rejects, and losses for the two plants; （c） compare the two processing plants of the company from various perspectives, such as rejection in products, process losses, and different types of costs; and （d） recommend ways to improve the productivity and operations of the processing plants to produce good quality products and reduce wastes during the production.

An advanced partitioning process for key elements separation from high level liquid waste

To separate MA （Am, Cm） and some fission product elements （FPs） such as Tc, Pd, Cs and Sr from high level liquid waste （HLLW） systematically, we have been studying an advanced aqueous partitioning process, which uses selective adsorption as the separation method. For this process, we prepared several novel adsorbents which were immobilized in a porous sili- c^polymer composite support （SiO2-P）. Adsorption and separation behavior of various elements was studied experimentally in detail. Small scale separation tests using simulated HLLW solutions were carried out. Pd（II） was strongly adsorbed by the AR-01 anion exchanger and effectively eluted off by using thiourea. Successful separation of Pd（ll） from simulated HLLW was achieved. Te（VII） also exhibited strong adsorption on AR-01 and could be eluted off by using U（IV） as a reductive eluent. Am（Ⅲ） presented significantly high adsorbability and selectivity onto R-BTP/SiOz-P adsorbents over various FPs including Ln（Ⅲ）. The R-BTP adsorbents were fairly stable in 3 M HNO3, but instable against 7-irradiation-3M HNO3. An advanced par- titioning process consisting of three separation columns for the target elements separation from HLLW was proposed and the obtained experiment results indicated that the proposed process is essentially feasible.