A Fuzzy Multi-Objective Linear Programming Model: A Case Study of an LPG Distribution Network

2014 ◽  
Vol 13 (3) ◽  
pp. 319-329 ◽  
Author(s):  
Bahar Ozyoruk ◽  
Nilay Donmez
Keyword(s):  
Linear Programming ◽  
Programming Model ◽  
Distribution Network ◽  
Linear Programming Model ◽  
Multi Objective

scholarly journals A Mixed Integer Linear Programming Model for the Optimization of Steel Waste Gases in Cogeneration: A Combined Coke Oven and Converter Gas Case Study

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3781
Author(s):  
Sergio García García ◽  
Vicente Rodríguez Montequín ◽  
Henar Morán Palacios ◽  
Adriano Mones Bayo
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Programming Model ◽  
Coke Oven ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Integer Linear Programming Model ◽  
Converter Gas

Off-gas is one of the by-products of the steelmaking process. Its potential energy can be transformed into heat and electricity by means of cogeneration. A case study using a coke oven and Linz–Donawitz converter gas is presented. This work addresses the gas allocation problem for a cogeneration system producing steam and electricity. In the studied facility, located in northern Spain, the annual production of the plant requires 95,000 MWh of electrical energy and 525,000 MWh of thermal energy. The installed electrical and thermal power is 20.4 MW and 81 MW, respectively. A mixed integer linear programming model is built to optimize gas allocation, thus maximizing its benefits. This model is applied to a 24-h scenario with real data from the plant, where gas allocation decision-making was performed by the plant operators. Application of the model generated profit in a scenario where there were losses, increasing benefits by 16.9%. A sensitivity analysis is also performed. The proposed model is useful not only from the perspective of daily plant operation but also as a tool to simulate different design scenarios, such as the capacity of gasholders.

A Multi-Objective Linear Programming Model for a Regional Two–Phase MSW Transfer System in a Medium Sized City – A Case Study in Zhongshan, China

2011 ◽  
Vol 356-360 ◽  
pp. 2071-2078 ◽  
Author(s):  
Jing Cheng Zhou ◽  
Hai Bin Chen ◽  
Yang Hu ◽  
Hao Lan Zhang ◽  
Li Ren
Keyword(s):  
Linear Programming ◽  
Solid Waste ◽  
Rural Areas ◽  
Programming Model ◽  
Linear Programming Model ◽  
Municipal Solid Waste Management ◽  
Transfer System ◽  
Two Phase ◽  
Multi Objective ◽  
Waste Transfer

Municipal solid waste management (MSWM) has consistently improved to keep up with the vast amount of solid waste in urban and rural areas. Research on optimization for an efficient management system has a place for the collection, transportation and transfer of solid waste. Waste transfer optimization attempts to minimize the inconvenience and costs, which must transfer between waste generation source and waste disposal sites (WDSs). In this paper, a Multi-objective Linear Programming Model for the Two-phase Waste Transfer System (MOLPMWTS) is assumed to be given, with which the two-phase waste transfer stations (WTSs) and motor carriers for waste transfer are take into account. And a two-phase waste transfer system in town of Guzhen, Zhongshan, China, is presented. The case showed a multi-objectives for numerical minimization of allocation of WTSs and transfer carriers.

A web-based DSS for fuzzy distribution network optimization

2015 ◽  
Vol 28 (2) ◽  
pp. 260-274 ◽  
Author(s):  
Alp Ustundag ◽  
Aysenur Budak
Keyword(s):  
Linear Programming ◽  
Network Optimization ◽  
Programming Model ◽  
Distribution Network ◽  
Fuzzy Linear Programming ◽  
Strategic Decision ◽  
Linear Programming Model ◽  
Distribution Centers ◽  
Web Based ◽  
Content Type

Purpose – Distribution network design (DND) has become an important strategic decision for supply chain managers with increasing competitive nature of the industry nowadays. The purpose of this paper is to propose a web-based decision support system (DSS) for fuzzy distribution network optimization. For this purpose, a web-based DSS using fuzzy linear programming model is proposed to solve DND problem under uncertainty and a framework is created to optimize a distribution network. Design/methodology/approach – In this study, the fuzziness in distribution network optimization is addressed. Fuzzy linear programming is used in a DSS to consider the uncertain and imprecise data. A web-based DSS architecture is presented. Furthermore, as an application, distribution network optimization is conducted for a company in the ceramics industry. Findings – By using this DSS, the optimal transshipment amounts in the distribution network and the required facility and distribution centers can be determined for different fuzziness levels. In fact, for different uncertainty levels of input parameters, the planner can understand the range of optimum network planning costs. Based on the results of this study, planners will be able to decide how to develop the distribution network under uncertain demand. Originality/value – Reviewing previous research in the related literature revealed that there are no studies presenting a web-based DSS using fuzzy linear programming model to solve this type of problems under uncertainty.

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