A New Multi Objective Linear Programming Model for Lean and Green Supplier Selection with Fuzzy TOPSIS

2018 ◽  
pp. 101-141 ◽  
Author(s):  
Belkız Torğul ◽  
Turan Paksoy
Keyword(s):  
Linear Programming ◽  
Supplier Selection ◽  
Programming Model ◽  
Fuzzy Topsis ◽  
Linear Programming Model ◽  
Green Supplier Selection ◽  
Multi Objective ◽  
Lean And Green

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.

scholarly journals Mixed integer linear programming model for dynamic supplier selection problem considering discounts

2018 ◽  
Vol 154 ◽  
pp. 01071 ◽  
Author(s):  
Purnawan Adi Wicaksono ◽  
I Nyoman Pujawan ◽  
Erwin Widodo ◽  
Sutrisno ◽  
Laila Izzatunnisa
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Supplier Selection ◽  
Programming Model ◽  
Selection Problem ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Integer Linear Programming Model ◽  
Supplier Selection Problem

Supplier selection is one of the most important elements in supply chain management. This function involves evaluation of many factors such as, material costs, transportation costs, quality, delays, supplier capacity, storage capacity and others. Each of these factors varies with time, therefore, supplier identified for one period is not necessarily be same for the next period to supply the same product. So, mixed integer linear programming (MILP) was developed to overcome the dynamic supplier selection problem (DSSP). In this paper, a mixed integer linear programming model is built to solve the lot-sizing problem with multiple suppliers, multiple periods, multiple products and quantity discounts. The buyer has to make a decision for some products which will be supplied by some suppliers for some periods cosidering by discount. To validate the MILP model with randomly generated data. The model is solved by Lingo 16.

Rational Land Planning Utilization Structure Optimization Based on Multi-Objective Linear Programming Model of Foshan

2012 ◽  
Vol 616-618 ◽  
pp. 1243-1248
Author(s):  
Hai Quan Yang ◽  
Jian Zhang ◽  
Zai Gui Yang
Keyword(s):  
Land Use ◽  
Linear Programming ◽  
Structural Optimization ◽  
Programming Model ◽  
Structure Optimization ◽  
Linear Programming Model ◽  
Land Planning ◽  
Multi Objective ◽  
Land Use Structure ◽  
Regional Land

Regional land use/cover change is one of the hot issues of the global research. Since the proposal of “land use/cover change” research program by the International Geosphere-Biosphere Program（IGBP）and International Human Dimensions Programme on Global Environmental Change（IHDP）in 1995, the research on the land use structure optimization has been increasingly important as the core issue of regional land use/cover change. The structural optimization of land use refers to the use of certain techniques and methods to make the regional future land use structure achieve the best economic, ecological and social benefits. Base on the multi-objective linear programming model and through the setting of 14 variables, this paper has proposed the land use structural optimization program for the rational land planning of Foshan, thus providing reference for the rational land planning of economically developed area.

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