A multi-objective stochastic goal programming model for more efficient remanufacturing process

2016 ◽  
Vol 91 (1-4) ◽  
pp. 1007-1021 ◽  
Author(s):  
Ali Shakourloo
2011 ◽  
Vol 383-390 ◽  
pp. 976-983 ◽  
Author(s):  
Ahmad Kadri Junoh ◽  
Zulkifli Mohd Nopiah ◽  
Wan Zuki Azman Wan Muhamad ◽  
Mohd Jailani Mohd Nor

Car cabin acoustical comfort is one of the main points which may attract the customers to purchase a new vehicle. Basically the noise in passenger car cabin is closely related to generated vibration in the vehicle system. The amount of discomfort depends to magnitude, frequency, direction and also the duration of exposed vibration in the cabin. The comfort of the driving influences driving performance. Generally the vibration is caused by two main sources: engine transmission and interaction between tyre and road surface. In this study the effects of vibration to noise in passenger car cabin were studied. Vehicle acoustical comfort index (VACI) was used to evaluate the noise annoyance level and vibration dose value (VDV) was used to evaluate the vibration level. According to the changes trend of noise and vibration level depending to engine speeds, goal programming model was used to optimise the noise annoyance level in passenger car cabin. At the end of study, a multi objective model successfully built to optimize the noise annoyance levels by looking the required vibration dose value at certain engine speeds. The results of the study might be useful for automotive researchers to provide technical method to optimize acoustical comfort in manufacturing of vehicles.


2016 ◽  
Vol 3 (6) ◽  
pp. 1447-1459 ◽  
Author(s):  
Serkan Erbis ◽  
Sagar Kamarthi ◽  
Amir Abdollahi Namin ◽  
Ali Hakimian ◽  
Jacqueline A. Isaacs

A stochastic goal programming model is developed to aid decision making for CNT-enabled lithium-ion battery manufacturing production and capacity expansion, by considering the balance among economic growth, environmental and human health protection, and sustainability.


2012 ◽  
Vol 19 (5-6) ◽  
pp. 185-200 ◽  
Author(s):  
Belaid Aouni ◽  
Fouad Ben Abdelaziz ◽  
Davide La Torre

2016 ◽  
Vol 17 (3) ◽  
pp. 789-805 ◽  
Author(s):  
Raja Jayaraman ◽  
Cinzia Colapinto ◽  
Danilo Liuzzi ◽  
Davide La Torre

2020 ◽  
pp. 25-35
Author(s):  
O. O. Ojo ◽  
P. K. Farayibi ◽  
B. O. Akinnuli

Equipment procurement budget is of a great challenge in manufacturing industries by reasons of its multi-objectives, insufficient funds, and inflation problems. Solutions were proffered to these problems by identifying the strategic decisions required in equipment procurement (machine, accessories, spare parts and miscellaneous costs). Procurement changes from year to year based on equipment industrial needs. Hence eleven (11) scenarios for procurement but this study focused on a scenario where all the decisions are needed for procurement. This problem is multi-objective decision problem where there is need for multi-objective decision tool for its solution, therefore a goal programming tool was adopted and improved by integrating inflation model into it to be able to solve inflation problems. International Brewery Ilesha, Nigeria was used as case study for the model’s application to evaluate its performance. The strategic decisions deviated above or positively by 0.4604, 4.1311 and 2.3760 for machines, spare-parts and miscellaneous costs respectively while accessories cost was not deviated. Therefore, the procurement cost for Machines, Accessories, Spare-parts and Miscellaneous costs would be (N 166,015,000; $ 461,152.77), (N 127,968,000; $ 355,466.67), (N 548,075,000; $ 1,522,430.56), (N 271,091,500; $ 753,031.94). US Dollar exchange rate was at N 360 to a Dollar as at the time of this research. This multi-criteria decision tool will find its application useful in small, medium and large scale industries that equipment procurement budget affects their production.v


2019 ◽  
Vol 76 (2) ◽  
pp. 333-346 ◽  
Author(s):  
Francisco Salas-Molina ◽  
Juan A. Rodriguez-Aguilar ◽  
David Pla-Santamaria

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