Material Handling Equipment Selection Using Weighted Utility Additive Theory

Karande, Prasad; Chakraborty, Shankar

doi:10.1155/2013/268708

Cited by 43 publications

(41 citation statements)

References 21 publications

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“…It was found that the ranking obtained by CODAS, EDAS, WASPAS and MOORA methods were the same and in agreement with other MCDM methods like TOPSIS and ELECTRE. Karande and Chakraborty (2013) solved the same problem with ELECTRE and obtained the rank as A3>A4>A2>A1. Rao (2007) solved the problem using TOPSIS method and got the rank A3>A4>A2>A1.…”

Section: Results and Conclusionmentioning

confidence: 99%

“…Rao (2007) solved the problem and calculated the preference index for the same four conveyors using simple additive weighting, weighted product method, analytical hierarchy process, graph theory and matrix approach, technique for order performance by similarity to ideal solution (TOPSIS) and modified TOPSIS. Karande and Chakraborty (2013) solved the same problem using weighted utility additive (WUTA) method, VIse Kriterijumska Optimizacija kompromisno Resenje (VIKOR), Preference Ranking Organization method for enrichment evaluation (PROMETHEE), ELECTRE methods and compared the ranking obtained by different methods. Table 1 …”

Section: Moora Methods Was Introduced By Brauers In 2004mentioning

confidence: 99%

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Comparison of new multi-criteria decision making methods for material handling equipment selection

Mathew¹,

Sahu²

2018

10.5267/j.msl

103

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Conveyors and automated guided vehicles (AGVs) are important mechanical handling equipment used to transport loads from one place to another. Selection of proper material handling equipment is an intricate process. In the present paper two material handling equipment selection problem was solved using various newly developed multi criteria decision making (MCDM) methods. First a conveyor selection problem with six conflicting criteria and four alternatives was solved using four MCDM methods, i.e. combinative distance based assessment (CODAS) method, evaluation based on distance from average solution (EDAS) method, weighted aggregated sum product assessment (WASPAS) method and multi-objective optimization on the basis of ratio analysis (MOORA) method. Second an automated guided vehicles selection problem with six conflicting criteria and eight alternatives was solved using CODAS, EDAS, WASPAS and MOORA methods. Spearman rank correlation coefficient was calculated between the ranks obtained by various methods. The ranks obtained by these methods were even compared with the ranks of other MCDM methods and it was found that the relatively new methods CODAS, EDAS and WASPAS were in good agreement with each other.

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Section: Results and Conclusionmentioning

confidence: 99%

Section: Moora Methods Was Introduced By Brauers In 2004mentioning

confidence: 99%

Comparison of new multi-criteria decision making methods for material handling equipment selection

Mathew¹,

Sahu²

2018

10.5267/j.msl

103

View full text Add to dashboard Cite

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“…Generally, the materials handling component makes up 30-75% of a mine's operating cost (Karande and Chakraborty, 2013). In Central Africa, as in many developing regions, mineral projects have to invest substantially in establishing transport infrastructure.…”

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confidence: 99%

“…Karande and Chakraborty (2013, p. 2) list criteria such as 'better utilization of manpower, providing product flexibility, increasing productivity, decreasing lead time, reduction in handling cost, increased efficiency of material flow, and enhancement of production process' as just some of the criteria to consider. They emphasize that the decision-making process should use a multi-criteria analysis approach.…”

mentioning

confidence: 99%

“…Consequently, the project team decided to follow a threepronged approach in assessing the transport system: ® Operability: the criteria listed by Karande and Chakraborty (2013) and the questions regarding reliability and flexibility proposed by Pratt (2008) were grouped into one category focused on the impact of the material transport system on the overall project system. This includes power, water, employees, stockpile sizing, availability, and maintenance ® Net present cost (NPC): as economic profitability and return on investment underlie all mining projects, it is important to consider the impact that the choice of transport system will have on project value.…”

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confidence: 99%

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Ore transport system selection for the Sintoukola potash project in the Republic of Congo

Kluge

Limpitlaw

Swanepoel

2017

J. South. Afr. Inst. Min. Metall.

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The repeated performance of a number of fundamental processes lies at the heart of the mining process. These processes constitute the mining cycle (Singh and Saperstein, 1992). These fundamental processes are commonly referred to as 'unit operations' and comprise: fragmentation, loading, and haulage/transportation. There are also a number of auxiliary unit operations (such as site preparation and provision for services) but these are not discussed here. This paper deals with the selection of an ore transportation system for a planned potash mine in the Republic of Congo (Congo Brazzaville, RC).The Sintoukola potash project is a greenfield potash project located approximately 90 km north of the city of Pointe Noire in the RC. The project is located on the coastal plain between the Mayombé Mountains in the east and the Atlantic Ocean in the west. The potash deposit occurs within the Lower Cretaceous Loeme Evaporite Formation and is approximately 300 m below the surface. This evaporite sequence in the Congolese coastal basin comprises horizontal, undulating layers of salt. The targeted ore mineral is sylvinite (KCl), although carnallitite (KMgCl 3 ·6H 2 O) is also present. The sylvinite is interbedded with halite (NaCl) and other salts.The project consists of a planned underground board-and-pillar mine, a 35 km transport corridor to the coast, and a process plant and ship loading facility for export of potash to foreign markets. Underground access will be via a twin vertical shaft system. The mine and haulage/processing facilities are to be located in two of the administrative regions or sous-préfectures (Madingo Kayes and Loango) in the Kouilou Department.The project currently consists of a measured and indicated resource of 573 Mt of sylvinite, providing a sufficient reserve for a 23-year life of mine using a conventional underground mining method to produce 2 Mt/a of muriate of potash (MoP).In order to achieve this production, 6.9 Mt/a (960 t/h) of run-of-mine (RoM) ore will be mined using a room-and-pillar method, utilizing continuous miners. The RoM ore will then be transported to a dedicated processing plant located 35 km from the mine at the coast. Due to the hydrophilic nature of the salts, the ore needs to be kept dry at all times. At the processing facility, the potash salt (KCl) will be separated from the waste salt (NaCl), dried, stored, and then loaded onto barges for transhipment to ocean-going vessels using a custom-built jetty facility. The waste salt will be pre-diluted and then discharged into the ocean.A comprehensive trade-off study of all transport solutions was conducted in the early stages of the prefeasibility study (PFS). This paper describes the methodology followed to select the materials transport system for Ore transport system selection for the Sintoukola potash project in the Republic of Congo by P. Kluge*, D. Limpitlaw † , and W. Swanepoel* Material transport is one of the major components of a bulk mining system, and the selection of the most appropriate material transport system ca...

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Cargo Bikes for Sustainable City Logistics Systems: Optimizing Distribution Routes in a Dynamic Environment

Shramenko,

Hupfer,

Shramenko

2024

Lecture Notes in Logistics

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Material Handling Equipment Selection Using Weighted Utility Additive Theory

Cited by 43 publications

References 21 publications

Comparison of new multi-criteria decision making methods for material handling equipment selection

Comparison of new multi-criteria decision making methods for material handling equipment selection

Ore transport system selection for the Sintoukola potash project in the Republic of Congo

Cargo Bikes for Sustainable City Logistics Systems: Optimizing Distribution Routes in a Dynamic Environment

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