Solution Approach for a Mathematical Model Developed for Membrane Separation of a Gas Hydrocarbon Mixture

2011 ◽  
Author(s):  
Mahdi K. Boroujeni ◽  
F. Goodarzi ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
Ch. Tsitouras ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Membrane Separation ◽  
Hydrocarbon Mixture ◽  
Solution Approach

scholarly journals A Mathematical Model for Tool Sharing between Workers by Exact Solution Approach

2021 ◽  
pp. 132-137
Author(s):  
Ashish Yadav ◽  
Keyword(s):  
Mathematical Model ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Exact Algorithm ◽  
System Configuration ◽  
Assembly Lines ◽  
Line System ◽  
Solution Approach ◽  
Assembly Line Balancing Problem ◽  
Tool Cost

Multi-manned assembly lines are generally used to produce large-sized volume products such as cars and trucks. This article addresses the multi-manned two sided assembly line balancing problem with the objectives sharing tool between workstations. This paper presents a mathematical model and a Lingo -16 solvers based exact algorithm for multi-manned two-sided assembly line system configuration with tool sharing between adjacent workstations for companies that need intelligent solutions to satisfy customized demands on time with existing resources. The results obtained indicate that tool shared between parallel stations of two or more parallel lines beneficial for assembly line to minimize workstations, idle time and reduce tool cost.

Optimum transportation of relief materials aftermath the disaster

2021 ◽  
Vol 109 (1) ◽  
pp. 26-41
Author(s):  
A. Nautiyal ◽  
A. Kumar ◽  
A. Poddar ◽  
N. Parajuli
Keyword(s):  
Mathematical Model ◽  
Design Methodology ◽  
Operational Cost ◽  
Solution Approach ◽  
Supply Problem ◽  
Relief Distribution ◽  
Relief Operations ◽  
Disaster Scenario ◽  
Practical Implications ◽  
Made In

Purpose: Natural disasters disrupt not only the lives of individuals but also the functioning of society. Given the unpredictability of disasters and the uncertainty associated with them, preparation is the best way to mitigate and reduce the effects of the disaster. Design/methodology/approach: The study presents a mathematical model in the form of a multi-objective linear programming problem for the relief distribution from the airports which minimizes the total operational cost as well as travel time. Further, the solution approach and analytical results have also been discussed. Findings: The main aims at the preparedness stage are to identify and build infrastructures that might function as useful operation centres during a disaster. The study also provides decisions that include the type and number of vehicles for each affected location. Research limitations/implications: Airports can function as centres for relief collection and distribution. However, relief operations carried out through airports are often subject to problems such as stockpiling. Further, various modes are available for the transport of relief supplies- air, water, and land transport modes primarily. While aircraft and helicopters are faster, their costs of operation are too high. Instead, trucks are economical but very slow as compared to aircraft. Practical implications: The choice of model depends on many factors including the availability of vehicles, availability of routes, and criticality of situations. The choices made in turn affect the costs and the time of operations. Originality/value: The model converts a disaster scenario into a demand-supply problem with the aim being to decide allocations at specified intervals of time.

Multioptimization in a Cellular Manufacturing System Having Stochastic Parameters Considering Pricing

2015 ◽  
Vol 15 (3) ◽  
pp. 257-265
Author(s):  
Reza Salarian ◽  
Hamed Fazlollahtabar
Keyword(s):  
Mathematical Model ◽  
Manufacturing System ◽  
Cellular Manufacturing ◽  
Search Algorithm ◽  
Heuristic Method ◽  
The Novel ◽  
Cellular Manufacturing System ◽  
Solution Approach ◽  
Processing Times ◽  
Stochastic Parameters

AbstractA mathematical model is developed to formulate a cellular manufacturing system with uncertain parameters. In this work, the processing times and demands are stochastic and estimated via expected value and standard deviation after sampling process. The objectives of the proposed mathematical model are to configure machines’ layout in cells so that the inter-cell and intra-cell movements are minimized, the bottlenecks are breakthrough and the profit is increased. Finally, the profit is maximized due to decreasing production cost. The applicability of the proposed mathematical program is illustrated using numerical examples. With respect to the large amount of computational efforts in larger sized problem, a heuristic methodology is developed as solution approach. The properties of the proposed heuristic method are the novel search algorithm and the allocation methodology.

Mathematical Model for Numerical Simulation of Organic Compound Recovery Using Membrane Separation

2017 ◽  
Vol 41 (2) ◽  
pp. 345-352 ◽  
Author(s):  
Rasool Pelalak ◽  
Zahra Heidari ◽  
Hadi Soltani ◽  
Saeed Shirazian
Keyword(s):  
Numerical Simulation ◽  
Mathematical Model ◽  
Organic Compound ◽  
Membrane Separation
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