Selecting the suitable material handling equipment in the presence of vagueness

Önüt, Semih; Kara, Selin Soner; Mert, Sinan

doi:10.1007/s00170-008-1897-3

Cited by 63 publications

(39 citation statements)

References 25 publications

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“…A 0-1 integer programming model was developed to select machines, assign operations of part types to the selected machines, allocate MH equipment to transport the parts from machine to machine, and as to handle the part at a given machine. Onut et al [6] proposed an integrated fuzzy analytic network process (F-ANP) and fuzzy technique for order performance by similarity to ideal solution (F-TOPSIS) methodology for evaluating and selecting the most suitable MH equipment types for a manufacturing organization. Komljenovic and Kecojevic [7] applied coefficient of technical level and AHP methods for selection of rail-mounted boom type bucket wheel reclaimers and stacker-reclaimers as used for material handling at the stockyards.…”

Section: Literature Reviewmentioning

confidence: 99%

Material Handling Equipment Selection Using Weighted Utility Additive Theory

Karande

Chakraborty

2013

Journal of Industrial Engineering

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�etter utilization of manpower, providing product �exibility, increasing productivity, decreasing lead time, reduction in handling cost, increased efficiency of material �ow, and enhancement of production process are some of the most important issues in�uencing material handling (MH) equipment selection decision. As a wide variety of MH equipment is available today, selection of the proper equipment for a designed manufacturing system is a complicated task. Selection of suitable MH equipment for a typical handling environment is found to be a multicriteria decision-making (MCDM) problem. As the selection process is found to be unstructured, characterized by domain dependent knowledge, there is a need to apply an efficient MCDM tool to select the most suitable MH equipment for the given application. is paper applies weighted utility additive (WUTA) method to solve an MH equipment selection problem. e ranking obtained using the WUTA method is compared with that derived by the past researchers which proves its potentiality, applicability, and accuracy to solve complex decision-making problems.

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Section: Literature Reviewmentioning

confidence: 99%

Material Handling Equipment Selection Using Weighted Utility Additive Theory

Karande

Chakraborty

2013

Journal of Industrial Engineering

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“…Shapira and Simcha [10] implemented a non-statistical quantitative approach to assess the safety factors caused by the operation of tower cranes at a construction site. Onut et al [11] proposed a combined fuzzy analytic network process (FANP) and fuzzy technique for order performance by similarity to ideal solution (FTOPSIS) methodology for evaluating and selecting the most efficient MHE. It was applied to a steel construction industry where rail crane system was identified as the most efficient MHE.…”

Section: Literature Reviewmentioning

confidence: 99%

A software prototype for material handling equipment selection for construction sites

Prasad

Zavadskas

Chakraborty

2015

Automation in Construction

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“…For example, some scholars have used it to develop supplier selection models (e.g., [40][41][42][43][44]), whereas others applied it to transportation choice decision-making problems (e.g., [45]), selection models for developing new product concepts [46], sustainable energy technology alternatives [47], hotel management system problem selection [48], and oversight problems in food management and research [49] and to determine the key indicators of green supply chain for food products [50]. MCDM has been adopted to explore the development of new product by century-old enterprises [51], improve productivity in smallscale food enterprises [52], and study site selection problems in food distribution [53].…”

Section: Fuzzy Analytic Network Processmentioning

confidence: 99%

Fresh Snack Food Channel Evaluation Model for Integrating Customers’ Perception of Transaction Costs in Taiwan

Chen

2017

Journal of Food Quality

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The primary purpose of this study was to explore how food dealers develop methods that facilitate transaction efficiency and how they select the optimal food channels. This study establishes a model according to the impact of transaction cost factors on consumers' decision-making regarding purchase of fresh snack foods. Using fresh snack foods in Taiwan as an example, this study employed a fuzzy analytic network process to solve decision-making problems with multiple criteria by comparing the interaction between each transaction cost factor to obtain the factor weightings as well as the weightings of the transaction costs at each decision stage. This study found that food safety assurance and providing sufficient nutrition information were the most essential topics; thus, the optimal choice for snack food producers is to develop retail outlets. This study construction process proposed is innovative and operational, and the results may provide a reference for snack food dealers or microfood enterprises to assist them in developing their food channels.

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Selecting the suitable material handling equipment in the presence of vagueness

Cited by 63 publications

References 25 publications

Material Handling Equipment Selection Using Weighted Utility Additive Theory

Material Handling Equipment Selection Using Weighted Utility Additive Theory

A software prototype for material handling equipment selection for construction sites

Fresh Snack Food Channel Evaluation Model for Integrating Customers’ Perception of Transaction Costs in Taiwan

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